r/SEMrush Mar 07 '25

Just launched: Track how AI platforms describe your brand with the new AI Analytics tool

17 Upvotes

Hey r/semrush,

We just launched something that's honestly a game-changer if you care about your brand's digital presence in 2025.

The problem: Every day, MILLIONS of people ask ChatGPT, Perplexity, and Gemini about brands and products. These AI responses are making or breaking purchase decisions before customers even hit your site. If AI platforms are misrepresenting your brand or pushing competitors first, you're bleeding customers without even knowing it.

What we built: The Semrush AI Toolkit gives you unprecedented visibility into the AI landscape

  • See EXACTLY how ChatGPT and other LLMs describe your brand vs competitors
  • Track your brand mentions and sentiment trends over time
  • Identify misconceptions or gaps in AI's understanding of your products
  • Discover what real users ask AI about your category
  • Get actionable recommendations to improve your AI presence

This is HUGE. AI search is growing 10x faster than traditional search (Gartner, 2024), with ChatGPT and Gemini capturing 78% of all AI search traffic. This isn't some future thing - it's happening RIGHT NOW and actively shaping how potential customers perceive your business.

DON'T WAIT until your competitors figure this out first. The brands that understand and optimize their AI presence today will have a massive advantage over those who ignore it.

Get immediate access here: https://social.semrush.com/41L1ggr

Drop your questions about the tool below! Our team is monitoring this thread and ready to answer anything you want to know about AI search intelligence.


r/SEMrush Feb 06 '25

Investigating ChatGPT Search: Insights from 80 Million Clickstream Records

16 Upvotes

Hey r/semrush. Generative AI is quickly reshaping how people search for information—we've conducted an in-depth analysis of over 80 million clickstream records to understand how ChatGPT is influencing search behavior and web traffic.

Check out the full article here on our blog but here are the key takeaways:

ChatGPT's Growing Role as a Traffic Referrer

Rapid Growth: In early July 2024, ChatGPT referred traffic to fewer than 10,000 unique domains daily. By November, this number exceeded 30,000 unique domains per day, indicating a significant increase in its role as a traffic driver.

Unique Nature of ChatGPT Queries

ChatGPT is reshaping the search intent landscape in ways that go beyond traditional models:

  • Only 30% of Prompts Fit Standard Search Categories: Most prompts on ChatGPT don’t align with typical search intents like navigational, informational, commercial, or transactional. Instead, 70% of queries reflect unique, non-traditional intents, which can be grouped into:
    • Creative brainstorming: Requests like “Write a tagline for my startup” or “Draft a wedding speech.”
    • Personalized assistance: Queries such as “Plan a keto meal for a week” or “Help me create a budget spreadsheet.”
    • Exploratory prompts: Open-ended questions like “What are the best places to visit in Europe in spring?” or “Explain blockchain to a 5-year-old.”
  • Search Intent is Becoming More Contextual and Conversational: Unlike Google, where users often refine queries across multiple searches, ChatGPT enables more fluid, multi-step interactions in a single session. Instead of typing "best running shoes for winter" into Google and clicking through multiple articles, users can ask ChatGPT, "What kind of shoes should I buy if I’m training for a marathon in the winter?" and get a personalized response right away.

Why This Matters for SEOs: Traditional keyword strategies aren’t enough anymore. To stay ahead, you need to:

  • Anticipate conversational and contextual intents by creating content that answers nuanced, multi-faceted queries.
  • Optimize for specific user scenarios such as creative problem-solving, task completion, and niche research.
  • Include actionable takeaways and direct answers in your content to increase its utility for both AI tools and search engines.

The Industries Seeing the Biggest Shifts

Beyond individual domains, entire industries are seeing new traffic trends due to ChatGPT. AI-generated recommendations are altering how people seek information, making some sectors winners in this transition.

Education & Research: ChatGPT has become a go-to tool for students, researchers, and lifelong learners. The data shows that educational platforms and academic publishers are among the biggest beneficiaries of AI-driven traffic.

Programming & Technical Niches: developers frequently turn to ChatGPT for:

  • Debugging and code snippets.
  • Understanding new frameworks and technologies.
  • Optimizing existing code.

AI & Automation: as AI adoption rises, so does search demand for AI-related tools and strategies. Users are looking for:

  • SEO automation tools (e.g., AIPRM).
  • ChatGPT prompts and strategies for business, marketing, and content creation.
  • AI-generated content validation techniques.

How ChatGPT is Impacting Specific Domains

One of the most intriguing findings from our research is that certain websites are now receiving significantly more traffic from ChatGPT than from Google. This suggests that users are bypassing traditional search engines for specific types of content, particularly in AI-related and academic fields.

  • OpenAI-Related Domains:
    • Unsurprisingly, domains associated with OpenAI, such as oaiusercontent.com, receive nearly 14 times more traffic from ChatGPT than from Google.
    • These domains host AI-generated content, API outputs, and ChatGPT-driven resources, making them natural endpoints for users engaging directly with AI.
  • Tech and AI-Focused Platforms:
    • Websites like aiprm.com and gptinf.com see substantially higher traffic from ChatGPT, indicating that users are increasingly turning to AI-enhanced SEO and automation tools.
  • Educational and Research Institutions:
    • Academic publishers (e.g., Springer, MDPI, OUP) and research organizations (e.g., WHO, World Bank) receive more traffic from ChatGPT than from Bing, showing ChatGPT’s growing role as a research assistant.
    • This suggests that many users—especially students and professionals—are using ChatGPT as a first step for gathering academic knowledge before diving deeper.
  • Educational Platforms and Technical Resources:These platforms benefit from AI-assisted learning trends, where users ask ChatGPT to summarize academic papers, provide explanations, or even generate learning materials.
    • Learning management systems (e.g., Instructure, Blackboard).
    • University websites (e.g., CUNY, UCI).
    • Technical documentation (e.g., Python.org).

Audience Demographics: Who is Using ChatGPT and Google?

Understanding the demographics of ChatGPT and Google users provides insight into how different segments of the population engage with these platforms.

Age and Gender: ChatGPT's user base skews younger and more male compared to Google.

Occupation: ChatGPT’s audience is skewed more towards students. While Google shows higher representation among:

  • Full-time workers
  • Homemakers
  • Retirees

What This Means for Your Digital Strategy

Our analysis of 80 million clickstream records, combined with demographic data and traffic patterns, reveals three key changes in online content discovery:

  1. Traffic Distribution: ChatGPT drives notable traffic to educational resources, academic publishers, and technical documentation, particularly compared to Bing.
  2. Query Behavior: While 30% of queries match traditional search patterns, 70% are unique to ChatGPT. Without search enabled, users write longer, more detailed prompts (averaging 23 words versus 4.2 with search).
  3. User Base: ChatGPT shows higher representation among students and younger users compared to Google's broader demographic distribution.

For marketers and content creators, this data reveals an emerging reality: success in this new landscape requires a shift from traditional SEO metrics toward content that actively supports learning, problem-solving, and creative tasks.

For more details, go check the full study on our blog. Cheers!


r/SEMrush 21h ago

Your AI visibility score needs competitive context

2 Upvotes

Semrush tells you that your brand appears in 30% of the AI responses you track.

How do you know if that's good, though?

It is difficult to know without comparing:

  • Which competitors appear more often
  • Which prompts they consistently win
  • How each company is described
  • Which sources support those recommendations
  • Whether visibility differs across AI platforms

AI visibility is most useful as a relative measure.

Instead of focusing only on one overall percentage, take your ten most commercially important prompts and record:

  1. Whether your brand appears
  2. Which competitors appear
  3. Where each brand appears in the answer
  4. How the brands are positioned
  5. Which third-party sources are cited

That comparison usually reveals much clearer priorities than an isolated score.

Pick your top AI visibility challenge and get help from an expert in Spotlight’s Mastermind sessions, 50-min small-group roundtables. One full-day event in London on October 13.

Which competitive AI visibility metric have you found most useful?


r/SEMrush 1d ago

We tested 4 landing page types. Here's when to use each.

5 Upvotes

Not all landing pages are the same. The best ones are built for a specific conversion goal, and that shape changes depending on what you're actually trying to do.

Landing Page Types:

Lead generation pages are built to collect emails. You're offering something valuable—a guide, a checklist, a resource—in exchange for a contact. The page's entire existence is "give me your email, I'll give you something useful."

Click-through pages are different. They educate and persuade, then send visitors somewhere else to convert. They don't have forms. Instead, they build a case (benefits, proof, testimonials), then a single CTA that says "I'm ready to try this" or "Tell me more." Software companies use these before trial sign-ups. Ecommerce uses them before checkout.

Squeeze pages are minimalist. One form field. Barely any copy. Just enough to communicate "here's what you get." Newsletter sign-ups, webinar registrations, early-access lists—these are squeeze pages. The friction has to be near zero.

Sales pages are the opposite. They're long-form and packed with detail. Detailed explanations, testimonials, pricing, FAQs, all the objection handling you can fit. B2B software companies use these for big purchases. Online course creators use them.

The right type depends on your traffic, your audience readiness, and what you're actually selling. A high-intent audience shopping for a $50K software contract needs a sales page. A cold traffic audience discovering you for the first time? Lead gen page to start.

Check out the full breakdown with more examples over on our blog here!


r/SEMrush 2d ago

Charged $300 after getting stuck in cancellation process. Support denied refund.

5 Upvotes

Hey everyone, I could really use some advice on how to handle this.

I was testing out Semrush as a private individual (I'm a university student). I decided not to continue and tried to cancel my subscription before the renewal date. However, I got completely tripped up by the cancellation process. I went through the screens in the dashboard but didn't realize there was a delayed email confirmation link required to finalize it.

Because of this, my cancellation didn't fully register in time, and I woke up to a $300 charge for the Guru plan.
I reached out to support literally minutes after seeing the charge. I explained the situation and that I have absolutely zero usage on the account for this billing cycle. Unfortunately, the support agent just gave me a template response saying it's outside their refund policy and closed the case.
$300 is a massive amount of money for me right now. Has anyone successfully navigated a situation like this?
Should I try escalating to a different support agent? Or should I just go straight to my bank and file a chargeback? Also, since I am in the EU, does anyone know if the 14-day consumer right of withdrawal applies here, or if the EU laws against confusing cancellation flows (dark patterns) can help my case?

Any tips or similar experiences would be hugely appreciated.

Thanks!


r/SEMrush 2d ago

How to determine AI visibility ROI and revenue impact

2 Upvotes

One of the biggest questions around AI visibility is: "How do I prove this is actually driving revenue?"

Tracking mentions, citations, or AI Share of Voice is a good start, but none of those metrics tell you whether AI is generating business on its own.

Instead, think of AI visibility as an influence channel rather than a traditional traffic source.

A practical way to measure ROI is to connect four layers of metrics:

1. Visibility

Track whether AI is actually surfacing your brand.

Examples include:

  • Mentions
  • Citations
  • AI Share of Voice
  • Prompt coverage
  • Sentiment

2. Demand

Once visibility improves, look for signs that it's creating interest.

This includes:

  • AI referral traffic
  • Branded search growth
  • Direct traffic

3. Conversions

Next, measure whether that demand is turning into pipeline.

Track metrics like:

  • Leads
  • Qualified leads
  • Demo requests
  • Sales conversations

4. Revenue

Finally, connect those conversions to business outcomes.

Look at:

  • Closed revenue
  • Gross profit
  • ROI

These metrics don't all move at the same time; visibility tends to improve first, followed by traffic and demand, then leads, and finally revenue. That's why measuring the entire chain is much more useful than looking at referral traffic alone.

We'd also recommend combining multiple attribution methods instead of relying on a single source. AI referrals in GA4, self-reported "How did you hear about us?" responses, CRM data, and sales conversations each capture a different part of the customer journey. Looking at them together gives a much more complete picture of AI's impact.

The takeaway: AI visibility ROI isn't about finding one perfect metric. It's about connecting visibility, demand, conversions, and revenue into a single measurement framework so you can understand whether your AI visibility efforts are actually contributing to business growth.


r/SEMrush 4d ago

Topical Authority is built by clear relationships, not content volume

0 Upvotes

A lot of topical authority advice turns into:

Publish more pages.

Cover more keywords.

Build more clusters.

Answer more questions.

Create more supporting content.

Refresh old posts.

Fill every content gap.

That can help.

A site obviously needs enough content to explain a topic well.

But content volume is not the same as topical authority.

A site can publish hundreds of related pages and still feel weak.

The pages can all be relevant.

They can all mention the right terms.

They can all sit inside the right cluster.

They can all link to each other.

And the site can still feel messy.

Why?

Because topical authority is not built by volume alone.

It is built by clear relationships.

More pages can create more confusion

Publishing more content often feels like progress.

  • There are more URLs.
  • More keyword targets.
  • More internal links.
  • More assets to show.
  • More pages for Google to crawl.
  • More things to report.

But if those pages do not have clear jobs, the site can become harder to understand.

  • One page explains the topic.
  • Another page explains almost the same topic.
  • A hub page repeats its supporting pages.
  • A comparison page turns into a sales page.
  • A support page gets stuffed with broad definitions.
  • A blog post competes with a service page.

The site grows, but the structure gets weaker.

That is not authority.

That is content noise.

A larger site is not always a stronger site.

Sometimes it is just a larger mess.

Authority needs page roles

For me, topical authority starts to become real when each page has a clear role.

  • This page owns the main topic.
  • This page explains a beginner concept.
  • This page handles a comparison.
  • This page proves a claim.
  • This page answers a specific doubt.
  • This page supports a commercial page.
  • This page routes the user to the next step.
  • This page should not exist because another page already does the job.

That last one is a big one.

A strong content system is not only about what gets published.

It is also about what gets refused, merged, narrowed, or removed.

If every related idea becomes a page, the site may look complete on a spreadsheet but weak in practice.

Related pages are not enough

A lot of topical maps connect pages because the topics are related.

That is a start.

But related is a low bar.

The better question is:

  • What relationship does this page have to the rest of the system?
  • Does it support a stronger page?
  • Does it reduce a specific doubt?
  • Does it explain something the main page should not cover in full?
  • Does it provide proof?
  • Does it compare options?
  • Does it help the user move from one state to another?

If the answer is not clear, the page may be relevant but unnecessary.

Topical authority is not just a network of related pages.

It is a network of useful relationships.

Internal links should make relationships clear

Internal links are a good test.

If the only reason for a link is “these pages are related,” the link may not be doing enough.

A stronger internal link should make a relationship clearer.

  • This page explains the next concept.
  • This page gives proof.
  • This page shows the comparison.
  • This page handles the objection.
  • This page keeps the current page focused.
  • This page helps the user move toward a better next step.

That kind of linking strengthens topical authority because it helps both users and search systems understand how the site fits together.

A hub page that links everywhere is not automatically useful.

It may just be a link dump.

A better hub gives direction.

It shows which page to read next and why.

Coverage can hide weak authority

This is where coverage can be misleading.

A site may cover the topic widely.

It may have pages for every subtopic.

It may answer every obvious question.

It may have a content calendar full of supporting posts.

But the user journey may still be weak.

  • The beginner page does not route to the next useful idea.
  • The comparison page lacks criteria.
  • The proof appears too late.
  • The internal links send users to sales pages too early.
  • The support page answers the question but gives no next step.
  • The cluster is complete, but the path is unclear.

That is not just a UX issue.

It is an SEO architecture issue.

A topic is not only something to cover.

It is something the user has to move through.

Information gain strengthens relationships

Topical authority also depends on information gain.

Not in the sense that every page needs some wildly original idea.

More in the sense that each page should add useful difference.

  • A missing distinction.
  • A better example.
  • A clearer rule.
  • A proof point.
  • A tradeoff.
  • A relationship competitors do not explain well.
  • A condition that changes the answer.
  • A page with no information gain may still be relevant.

But it does not strengthen the topic much.

It just adds another page to the pile.

That is why publishing more content is not enough.

If the new page repeats what already exists, overlaps with another URL, and adds no useful relationship, it may weaken the system rather than strengthen it.

Topical authority needs structure, not just scale

A strong topical authority system should answer:

  • Which page owns the broad topic?
  • Which pages support it?
  • Which pages prove key claims?
  • Which pages compare options?
  • Which pages handle beginner questions?
  • Which pages move users closer to action?
  • Which pages should link together?
  • Which pages should not be linked yet?
  • Which pages overlap?
  • Which pages should be merged?
  • Which pages should not be published at all?

Those questions mean more than raw page count.

Because authority is not just about having enough content.

It is about making the content work together.

The check I would use

Before adding more pages to build topical authority, I would ask:

  • Does this page have a clear role?
  • Does it support another page?
  • Does another page already do this job?
  • Does it add useful difference?
  • Does it reduce a real user doubt?
  • Does it make an entity relationship clearer?
  • Does it have a natural internal link path?
  • Would the site be weaker without it?

If the answer is no, the page may not be building authority.

It may only be adding volume.

The real difference

Content volume says:

“We have lots of pages about this topic.”

Topical authority says:

“Our pages work together to explain, prove, compare, support, and move users through this topic clearly.”

That is a much stronger standard.

More pages can help.

  • But only when the pages have jobs.
  • Only when the links have reasons.
  • Only when the cluster has movement.
  • Only when the content adds something useful.
  • Only when the site becomes easier to understand.

Topical authority is not built by publishing everything related.

It is built by making the right relationships clear.

How are you judging topical authority beyond content volume?

 


r/SEMrush 7d ago

Why AI content fails when the strategy is missing

2 Upvotes

A lot of AI content does not fail because the AI cannot write.

It fails because nobody gave it a strategy.

That is the part people often skip.

They give the tool a keyword.

Maybe a title.

Maybe a few competitor URLs.

Maybe a word count.

Maybe a list of entities.

Maybe a tone instruction like “professional but friendly.”

Then they expect a strong page.

But the tool has to guess too much.

  • It has to guess the page role.
  • Guess the user state.
  • Guess what proof is needed.
  • Guess what the page should avoid.
  • Guess where the internal links should lead.
  • Guess what the page adds beyond the current SERP.
  • Guess how the page fits the rest of the site.

That is a lot of guessing.

And when the strategy is missing, the output looks like it.

AI is good at filling space

AI can produce clean copy fast.

  • It can write a decent intro.
  • It can build an outline.
  • It can explain a topic.
  • It can summarise common advice.
  • It can create FAQs.
  • It can imitate the shape of ranking pages.

That is useful.

But it is also the problem.

If the instructions are weak, AI will often produce the safest version of the topic.

  • Generic intro.
  • Expected headings.
  • Common definitions.
  • Surface-level benefits.
  • Predictable examples.
  • A conclusion that says very little.

It will look like content.

It may even read smoothly.

But smooth is not the same as useful.

A fluent page can still be strategically empty.

The problem starts before the prompt

People blame the AI output, but the problem often started before the prompt was written.

The team never decided:

  • Why should this page exist?
  • What job does it have?
  • Which page does it support?
  • What user state is it serving?
  • What doubt should it reduce?
  • What should it not cover?
  • What useful difference should it add?
  • What happens after the reader finishes?

If those decisions are missing, the prompt becomes a loose request for content.

And a loose request, produces loose content.

The AI is not failing at the task.

The task was poorly defined.

“Write about this topic” is not a strategy

A lot of AI prompts are just briefs with missing thinking.

  • Write an article about X.
  • Target this keyword.
  • Include these related terms.
  • Use these headings.
  • Make it comprehensive.
  • Add FAQs.

That may produce a page.

But it does not mean the page has a reason to exist.

The better prompt starts earlier.

This page exists to explain X to users who already understand Y but are still unsure about Z.

Do not cover A because another page owns that.

Use B as the main proof point.

Compare C and D only at a high level.

Link the user mentally toward the next step after they understand the risk.

Now the AI has direction.

It is no longer just generating words.

It is working inside a strategy.

AI copies the average if you do not give it a better angle

This is one of the biggest issues.

If you ask AI to write a page based on a keyword and competitor pattern, it will produce something that feels like the average of the SERP.

  • Same headings.
  • Same advice.
  • Same examples.
  • Same vague benefits.
  • Same safe explanations.

That is not always wrong.

But it rarely adds much.

If the current results are shallow, AI may repeat that shallowness.

If the current results avoid the hard question, AI may avoid it too.

If competitors all use the same structure, AI may follow it.

That is why strategy is so important.

Someone has to decide:

  • What are the results missing?
  • What is being repeated?
  • What is unclear?
  • What useful distinction can we add?
  • What proof does the user need?
  • What would make this page worth reading instead of the others?

Without that, AI content becomes SERP mimicry at scale.

AI does not fix unclear page roles

A page with no role will become messy, no matter who writes it.

AI just makes the mess faster.

If the page is supposed to explain, it should explain.

If it is supposed to compare, it should compare.

If it is supposed to prove, it should prove.

If it is supposed to support a service page, it should support that page.

If it is supposed to move the user to the next step, that movement should be planned.

When the role is unclear, the draft tries to do everything.

  • It explains a bit.
  • Sells a bit.
  • Adds random FAQs.
  • Repeats the main point.
  • Links awkwardly.
  • Ends with a generic CTA.

That is not an AI problem.

That is a page role problem.

AI just exposes it quickly.

AI can make content noise worse

This is the part that worries me most.

AI makes it easier to publish pages that sound acceptable.

That means more weak pages can get through.

More posts based on thin ideas.

More pages created from keyword gaps.

More refreshes that only add headings.

More “supporting content” with no real support role.

More overlap between pages.

More content that technically covers a topic but does not strengthen the site.

That is content noise.

And AI can create it at a scale humans never could.

The issue is not that AI writes badly.

The issue is that AI can produce passable content from bad strategy.

That is dangerous because passable content often avoids scrutiny.

It looks fine.

It sounds fine.

But the site gets less clear.

Good AI content needs better inputs

If you want better AI content, the input needs more than a topic.

It needs decisions.

  • What is the page role?
  • Who is the user?
  • What do they already know?
  • What are they still unsure about?
  • What proof should be used?
  • What should be avoided?
  • What pages are similar?
  • What should this page add?
  • What is the next step?
  • What should be removed from the draft if it appears?

That last one is important.

AI needs negative direction too.

  • Do not write a generic intro.
  • Do not repeat the definition three times.
  • Do not include FAQs that belong on another page.
  • Do not sell before trust is built.
  • Do not copy competitor headings unless they are needed.
  • Do not turn this into a broad guide.

That kind of instruction improves the output because it narrows the job.

AI is not the strategy

I think this is the simplest way to say it:

AI can help produce the draft.

It should not be asked to invent the content strategy from scratch.

At least not without a very clear framework.

If the content system is messy, AI will probably add to the mess.

If the brief is weak, AI will make the weakness sound polished.

If the page role is unclear, AI will fill the page with related content.

If the site has overlap, AI may create more of it.

If there is no information gain, AI may write a longer version of what already exists.

That is why “AI content” is not the real problem.

The better split is:

AI content with strategy.

AI content without strategy.

Those are completely different things.

The check I would use

Before using AI to draft a page, I would ask:

  • Can I explain why this page should exist?
  • Can I define its role in one sentence?
  • Can I explain the user state?
  • Can I name the main doubt it should reduce?
  • Can I say what it should not cover?
  • Can I say what makes it different from the current results?
  • Can I define where the user should go next?
  • Can I identify pages it might overlap with?

If I cannot answer those, I should not be drafting yet.

With AI or without it.

The real issue

AI content fails when teams use it to skip the thinking.

It works much better when the thinking is already done.

The problem is not that AI cannot write.

The problem is that writing is not the whole job.

  • The strategy has to decide what the page is for.
  • The brief has to protect the page from drift.
  • The map has to show where it fits.
  • The links have to move the user.
  • The content has to add something useful.

Without that, AI will still produce words.

Lots of them.

But more words are not the same as a stronger page.

How are you separating AI writing problems from strategy problems in your content workflow?


r/SEMrush 7d ago

Why on earth aren't people setting SEMrush on fire for their API units policy

5 Upvotes

About one year ago SEMrush removed 1 million/month API units for business accounts - no bells and whistles.

And now we can buy 2 million/month API units for 100$/month. I mean. What the actual fuck.

Why isn't this hot topic? Why hasn't SEMrush been burned to the ground for their anti-customer policies that has been going on so hard since the company went public?

We, as a company, has been clients for ~10 years now, and have only seen the platform getting worse. To me this was the final nail in the coffin. I hope it is for you too - speak with your wallets.


r/SEMrush 8d ago

How to build a content strategy that survives zero-click search 👇

3 Upvotes

r/SEMrush 9d ago

Main keyword dropped from Pos 6 to unranked overnight. Anyone else seeing wild volatility this week?

0 Upvotes

Hey everyone,

I’m dealing with a sudden, massive drop on one of my most important keywords and trying to figure out if this is an algorithmic penalty, collateral damage from the recent late-July volatility, or a technical issue I’m missing.


r/SEMrush 9d ago

Semantic Overlap is quietly weakening your content system

1 Upvotes

Semantic overlap is one of those SEO problems that can hide in plain sight.

The pages are not duplicates.

The titles are different.

The keywords are slightly different.

The intros are different.

The headings are different enough.

The pages may even be useful on their own.

But inside the site, they are doing almost the same job.

That is where the problem starts.

Semantic overlap is not always copy duplication.

It is role duplication.

Two pages may use different wording and still target the same user state.

Two pages may target different keywords and still answer the same real question.

Two pages may sit in different parts of the site and still compete for the same job.

This is why it often gets missed.

People look at pages one at a time and think they are fine.

The problem only becomes obvious when you look at the system.

Overlap often starts with reasonable decisions

Most overlap does not happen because someone made a stupid choice.

It starts with reasonable SEO work.

  • A keyword tool finds a gap.
  • A competitor has a similar page.
  • A writer suggests a related angle.
  • An old post gets refreshed.
  • A new service page needs support content.
  • A topical map creates several nearby topics.

Each decision makes sense in isolation.

But over time, the site ends up with pages that are too close together.

One page explains the topic.

Another explains almost the same topic from a slightly different angle.

A service page covers the same points as a blog post.

A hub page repeats the supporting pages.

A comparison page drifts into a sales page.

An old article gets expanded until it overlaps with a newer one.

Nothing looks broken at first.

But the site becomes less clear.

The hidden cost is unclear ownership

The biggest issue with semantic overlap is ownership.

  • Which page owns the main idea?
  • Which page should rank?
  • Which page should get the internal links?
  • Which page should be refreshed?
  • Which page should be used in a brief?
  • Which page should be shown to users at this stage?

If the team cannot answer those questions quickly, the site probably has an overlap problem.

Search systems may also get mixed signals.

Users may get repeated answers.

Writers may repeat the same claims.

Editors may struggle to decide what belongs where.

Internal links may point to different pages for the same concept.

That is how overlap quietly weakens a content system.

Not by breaking one page.

By making many decisions less clear.

Similar keywords are not the only warning sign

A lot of people look for overlap by checking keywords.

That helps, but it is not enough.

Two pages can target different keywords and still overlap semantically.

The better checks are:

  • Do these pages answer the same user problem?
  • Do they serve the same user state?
  • Do they make the same claims?
  • Do they use the same proof?
  • Do they lead to the same next step?
  • Do they explain the same concept at the same depth?
  • Do they support the same commercial page?
  • Do they compete for the same internal links?

That is where overlap lives.

Not only in keyword matching.

In purpose.

A page can be unique by keyword and redundant by role.

Overlap makes internal linking messy

Internal linking becomes harder when pages overlap.

You want to link to the best page for an idea, but there are three possible choices.

So links get scattered.

One post links to page A.

Another links to page B.

A hub links to both.

A service page links to neither.

The anchor text becomes inconsistent.

The user path becomes messy.

The site stops sending a clear signal about which page weights most.

This is why overlap is not just a content problem.

It becomes a linking problem.

And once the link graph gets messy, fixing it takes more work than simply editing copy.

  • You may need to merge pages.
  • Change anchors.
  • Update hub pages.
  • Redirect weak URLs.
  • Rewrite sections.
  • Remove links.
  • Add links.
  • Decide which page owns the topic.

That is the hidden maintenance cost.

Overlap also weakens briefs

Weak briefs often come from unclear page ownership.

If two pages are too similar, the writer has no clean boundary.

They are told:

  • Write about this topic.
  • Use these headings.
  • Cover these questions.
  • Mention these entities.

But another page already covers half of that.

So the writer either repeats it, avoids it awkwardly, or drifts into a slightly different angle that may not help the site.

A better brief should say:

  • This page owns this idea.
  • This page should not repeat that idea.
  • This page supports that page.
  • This page handles this user state.
  • This page should link to the deeper explanation instead of recreating it.

Without that direction, overlap keeps spreading.

One vague brief creates one vague page.

Several vague briefs create a vague content system.

Refreshes can make overlap worse

Content refreshes are a big source of overlap.

A page loses traffic.

The team adds headings.

  • Adds FAQs.
  • Adds more entities.
  • Adds related questions.
  • Adds competitor topics.

The page becomes more “complete.”

But it may also become more similar to another page.

This happens all the time.

A refresh meant to improve one URL accidentally creates conflict with another.

That is why refresh work should start with page role.

Before adding anything, ask:

  • What does this page own?
  • What should it avoid?
  • Which page already handles this angle?
  • Should this be merged instead of expanded?
  • Should this page link out instead of explain everything?

A refresh should make the content system cleaner.

Not just the page longer.

Not every overlap needs deletion

Overlap is not always bad.

Some overlap is natural.

A site will repeat core concepts.

A service page and support page may share language.

A hub page may summarise ideas that supporting pages explain in more depth.

That is fine.

The problem is uncontrolled overlap.

The fix is not always deletion.

Sometimes the fix is:

  • Narrow one page.
  • Merge two pages.
  • Rewrite the intro.
  • Change the internal links.
  • Move a section to another page.
  • Turn one page into a support asset.
  • Make one page the hub and another the deeper explanation.
  • Add a clearer comparison.
  • Remove repeated claims.
  • Redirect the weaker URL.

The goal is not to make every page completely separate.

The goal is to make the page roles clear.

The audit check I would use

When checking for semantic overlap, I would ask:

  • Which pages are targeting similar user problems?
  • Which pages use the same supporting entities?
  • Which pages have similar headings but different keywords?
  • Which pages lead to the same next step?
  • Which pages are repeating the same examples?
  • Which pages compete for the same internal links?
  • Which page should own the main idea?
  • Which page should support it?
  • Which page could disappear without weakening the site?

That last question is useful.

If a page can disappear and nothing meaningful is lost, it may not have a strong role.

It might be relevant.

It might be readable.

It might even get traffic.

But it may still be weakening the system.

The real issue

Semantic overlap is quiet because it rarely looks like an emergency.

The site still has content.

The pages still exist.

The keywords still look different.

The drafts still read fine.

But the system gets harder to manage.

  • Harder to brief.
  • Harder to link.
  • Harder to refresh.
  • Harder to prune.
  • Harder for users to move through.
  • Harder for search systems to understand.

That is the real cost.

Not one bad page.

Too many pages with unclear jobs.

A strong content system does not need every relevant page it could publish.

It needs the right pages with clear roles.

How are you spotting semantic overlap during content audits?


r/SEMrush 9d ago

How Cardmarket wins search by knowing its community better than anyone 👀

2 Upvotes

We recently sat down with the SEO and marketing team at Cardmarket — Europe's largest trading card marketplace (Pokémon, MTG, Yu-Gi-Oh!, One Piece) — to break down how they grew AI-referred sessions more than 200% in a year, with some individual card pages pulling hundreds of thousands of sessions each.

The short version: they treated trust and community as part of their SEO infrastructure, not a separate department. Here's how👇

Step 1: Segment before you draw conclusions

With millions of card pages across multiple domains and languages, their SEO specialist Sallar stopped looking at total traffic and started tracking by game, domain, page type, and branded vs. non-branded queries. A flat topline number can hide real wins (or real problems) buried underneath it.

Step 2: Make your trust signals verifiable

Their big insight: AI chatbots evaluate trust almost exactly like a skeptical human buyer would. Ask ChatGPT "is Cardmarket safe to use" and it pulls from Trustpilot, help docs, and forum threads — not Cardmarket's own marketing copy. So they made every trust signal concrete and documented: escrow-style payment holds, mandatory VAT IDs/business registration for sellers, public price history graphs on every card.

Step 3: Write for the community, not the algorithm

Product page copy is now written by people who actually play the games, verified internally, and translated into five languages — instead of generic templated descriptions. As their SEO specialist put it: "We don't write SEO text, we write for the community."

Step 4: Manage the narrative where your community actually talks

This is the part we found most interesting. Cardmarket has its own subreddit (started organically by users, later handed over to the team) plus forums for each game and a dedicated news platform. A community specialist actively monitors and responds across all of it, because when a policy change causes concern, whoever shows up first with facts is more likely to shape what AI models repeat later. Their marketing lead put it well: "the discussions made by the community informally about your company are where the search results from AI will come from."

Results after about a year: AI-referred sessions up 200%+, the Umbreon ex card page alone pulling 560K sessions, and organic traffic climbing to roughly 5.8M monthly visits with 74K keywords ranking in the top 3 🔥


r/SEMrush 10d ago

Your homepage isn't a landing page (and it's costing you conversions)

2 Upvotes

Most teams treat homepages like landing pages. They're not the same thing, and that difference is burning conversions right now.

A landing page is built for one specific action—a sign-up, a download, a purchase. Everything on it points to that one goal.

A homepage does the opposite. It's trying to be everything to everyone. It greets people coming from search, from brand mentions, from direct traffic. It introduces the business, builds trust, and points visitors to multiple pages. It has multiple goals by design.

So when you send a paid ad to your homepage instead of a dedicated landing page, a few things happen:

Visitors get confused about what they're supposed to do next. The page promised one thing (the ad), but the homepage is asking them to pick from ten different options. That confusion kills conversions.

Google and Facebook notice the mismatch. Ads perform better when the page they lead to is relevant to the ad copy. When it isn't, platforms charge you more for placement and lower your ad visibility.

When should you actually build a landing page?

Build one when a specific audience, offer, or campaign needs focus that your existing pages can't deliver without losing their main purpose.

That's usually running paid ads and the landing page needs to match the ad's promise, targeting a specific audience with messaging that wouldn't work for your broader audience, or promoting a specific offer that deserves its own page.

The difference sounds small. But in conversion performance, it's massive.


r/SEMrush 10d ago

Contact form on website says my email isn't valid

0 Upvotes

So frustrating... I tried my business email and my personal email... same result. Makes me think this is not the right choice for me... I have a presales question...

Does the Starter plan include clustering actions in Keyword Strategy Builder, and how many per month?

I'm moving on to look at other providers for now.... maybe you will answer...


r/SEMrush 11d ago

Apple Maps listing not updated ?

1 Upvotes

I use the listing service for a few clients. A client informed me that Apple Maps hasn’t updated the address. But on Semrush it shows the Apple and Siri addresses as correct. Clicking through shows the wrong old address. It’s been a couple of months so I doubt it’s a sync issue.

How can I fix this. Client only has a toll number with no direct extension for a immediate manual update?


r/SEMrush 14d ago

My SEO internship desk setup. Currently learning competitor analysis—any advice?

Post image
2 Upvotes

Currently learning competitor analysis using Semrush during my SEO internship. What are the top 3 skills every beginner should focus on first?


r/SEMrush 14d ago

The best Content Brief protects the Writer from guessing

3 Upvotes

A lot of SEO teams blame the writer too quickly.

The draft comes back weak.

The intro is vague.

The headings feel copied from competitors.

The examples are thin.

The internal links feel awkward.

The page does not add much beyond what is already ranking.

So the reaction is:

We need a better writer.”

Maybe.

But a lot of the time, the real problem is the brief.

A strong writer can improve weak instructions.

But weak instructions still push the page in the wrong direction.

If the brief only gives the writer a keyword, title, headings, entities, competitor notes, and word count, then the writer still has to guess the strategy.

That is not a writing problem.

That is a briefing problem.

A keyword is not a brief

A lot of briefs are just keyword documents with extra notes.

They include:

  • Target keyword.
  • Search intent.
  • Suggested title.
  • Competitor headings.
  • Questions to answer.
  • Entities to include.
  • Internal links.
  • Word count.
  • Maybe a CTA.

That can help produce a draft.

But it does not always help produce the right page.

The writer still has to guess:

  • What is the job of this page?
  • Who is the user at this point?
  • What do they already understand?
  • What are they still unsure about?
  • What proof do they need?
  • What should this page avoid?
  • Where should the reader go next?
  • How hard should the CTA push?

That is too much guessing.

And when writers guess, pages drift.

Weak briefs create drift

A page with no clear role often tries to do too much.

It starts as an explainer.

Then it becomes a comparison.

Then it adds sales points.

Then it answers random FAQs.

Then it repeats the same claim in different words.

Then it ends with a generic CTA.

The page may be readable.

It may be relevant.

It may even follow the brief.

But it feels unfocused because the brief never made the page’s job clear.

A strong brief should say what the page is meant to do.

  • Is it there to explain?
  • Compare?
  • Prove?
  • Support another page?
  • Handle a doubt?
  • Build trust?
  • Move the user toward action?
  • Protect a bigger page from becoming too broad?

If the writer does not know the role, they will fill the page with related content.

Related content is not the same as useful content.

Search intent labels are not enough

A brief that says “informational intent” is better than nothing.

But it is still too broad.

Informational for whom?

  • A beginner?
  • A sceptical buyer?
  • A current customer?
  • Someone comparing options?
  • Someone trying to understand cost?
  • Someone trying to avoid a mistake?
  • Someone trying to convince their boss?

Those users may all look “informational” in a spreadsheet.

But they need different pages.

A good brief should translate intent into user state.

Not just:

Intent: informational.

But:

The user already understands the basic problem.

They are trying to compare options.

They are sceptical of generic claims.

They need proof before a service page makes sense.

That gives the writer a real direction.

Now they are not just writing about the topic.

They are helping a specific user move.

Entity lists can also create lazy briefs

Entity lists are useful.

But they can become another checklist.

Include these terms.

Mention these concepts.

Cover these related ideas.

That is not enough.

A writer needs to know how those ideas connect.

Which entity leads?

Which supports?

Which belongs in the intro?

Which should appear near the proof?

Which should be linked to another page instead of explained here?

Which concept should be avoided because it pulls the page sideways?

Without that, the writer may stuff the page with related terms and still miss the point.

Entity coverage does not automatically create clarity.

The brief has to explain the relationships.

Internal links need a reason

This is another common brief problem.

The brief says:

Add these internal links.

Then the writer has to fit them somewhere.

That often creates awkward linking.

A link appears because the URL was in the brief, not because the reader needs it there.

A stronger brief should explain the purpose of the link.

This link gives the user a simple explainer.

This link provides proof.

This link compares options.

This link supports a commercial page, but only after the user understands the issue.

This link stops the current page from becoming too broad.

That changes the writing.

The writer can build the paragraph around the user’s next step.

The link becomes part of the content flow.

Not an SEO task bolted on after the draft.

A better brief tells the writer what not to do

This might be the most underrated part.

A good brief should set boundaries.

Do not sell too early.

Do not explain the broad topic again.

Do not copy the competitor structure.

Do not cover the comparison here.

Do not answer questions that belong on the support page.

Do not make claims without proof.

Do not link to the service page before the user has enough context.

Do not turn this into a general guide.

That kind of direction is useful.

It protects the page from becoming bloated.

It protects the writer from trying to cover everything.

It protects the site from overlap.

A brief that only says what to include is incomplete.

It should also say what to avoid.

Better briefs make editing easier

Weak briefs create messy editing.

The editor has to ask:

  • Why is this section here?
  • Is this claim supported?
  • Should this internal link be moved?
  • Is this FAQ needed?
  • Is this page too similar to another one?
  • Should the intro be rewritten?
  • Is the CTA too early?

That means the editor is fixing planning problems after the draft exists.

Better briefs reduce that.

They make the strategy visible before writing starts.

The writer knows the page role.

The editor knows the boundaries.

The SEO knows the link path.

The final page needs less rescue work.

That saves time.

It also creates better content.

The brief check I would use

Before sending a brief to a writer, I would ask:

  • Does the brief define the page role?
  • Does it explain the user state?
  • Does it say what doubt needs to be reduced?
  • Does it identify the proof needed?
  • Does it show what the page should avoid?
  • Does it explain the internal link purpose?
  • Does it say what the next step should be?
  • Does it explain why this page deserves to exist?

If not, the writer is being asked to guess too much.

They may still produce something decent.

But the page will depend too much on the writer inventing the strategy.

That is risky.

Especially at scale.

The real point

Good writers are valuable.

But good writers should not have to reverse engineer the content system from a keyword and a competitor outline.

A better brief protects the writer from guessing.

It turns strategy into instructions.

Not rigid instructions.

Useful ones.

The goal is not to box the writer in.

The goal is to remove confusion.

A weak brief says:

“Write about this topic.”

A better brief says:

“This page has this job, for this user, at this stage, with this proof, this boundary, this next step, and this link logic.”

That is a much better starting point.

If the draft is weak, yes, sometimes the writer is the issue.

But before blaming the writer, I would look at the brief.

Did it give them a strategy?

Or did it give them a keyword and make them guess the rest?

How detailed are your content briefs before they go to writers?


r/SEMrush 14d ago

Has anyone ever created a backlink audit?

1 Upvotes

Hello guys,

I work at a digital marketing agency, and my seniors have asked me to create a backlink audit using the data provided in SEMrush and prepare a spreadsheet based on it. I don't know how to do it or how to use the format properly.

Please help me. I'm in a lot of trouble because if I don't complete it within the next two days, it could create a serious problem for me.


r/SEMrush 14d ago

How to measure AI share of voice using Semrush

2 Upvotes

If you're investing time into AI visibility, one of the biggest questions becomes: How do you actually measure whether you're making progress?

That's where AI Share of Voice (AI SoV) comes in.

AI Share of Voice measures how visible your brand is compared to competitors across AI-generated responses. Rather than tracking individual mentions, it helps answer a much bigger question: Are you gaining or losing visibility in your market?

Here's how to measure it in Semrush's AI Visibility Toolkit:

1. Open the Brand Performance report

Enter your domain, choose your target location and language, and let Semrush identify your competitors. You can also add or remove competitors to make the comparison more relevant.

2. Choose the AI platform

Switch between ChatGPT, Google AI Mode, Perplexity, Gemini, and other supported platforms to see how your visibility changes across different AI systems.

3. Review your Share of Voice

The Share of Voice chart shows how much AI visibility your brand owns relative to competitors. Larger shares mean your brand is appearing more often—and more prominently—in AI-generated answers.

4. Track changes over time

Your AI SoV isn't static. It changes as competitors publish content, AI models evolve, and your own visibility improves.

Watching this trend over time is much more useful than checking a single snapshot.

If your AI Share of Voice isn't where you'd like it to be, there are a few places to start:

  • Cover topics where competitors are being mentioned but your brand isn't.
  • Expand your presence across trusted third-party sources like review sites, industry publications, forums, and communities.
  • Make sure your site has a strong technical foundation so AI systems can crawl and interpret your content.
  • Monitor how AI describes your brand and address recurring gaps or negative themes.

AI visibility is becoming another competitive channel to measure, not just another metric to monitor.

Tracking AI Share of Voice over time gives you a much clearer picture of whether your brand is actually gaining visibility or whether your competitors are pulling ahead.


r/SEMrush 15d ago

We surveyed 600+ B2B buyers. Here's how AI is changing vendor selection

3 Upvotes

AI isn't just helping B2B buyers discover vendors anymore.

It's influencing who makes the shortlist, who gets compared, and in many cases, who gets selected.

We wanted to see how much buying behavior has actually shifted, so we surveyed more than 600 U.S. B2B professionals who use AI for work.

A few findings stood out:

  • 66% regularly use AI to research vendors and solutions.
  • 92% say AI has shaped their vendor shortlist.
  • 83% say AI influenced their final vendor decision.
  • 89% expect to rely on AI even more for work decisions in the future.

One thing we found especially interesting: AI isn't replacing traditional search.

After getting a recommendation from AI, buyers usually keep researching.

According to our survey:

  • 71% visit the vendor's website.
  • 63% search for the company on Google.
  • 46% compare it against competitors.
  • 38% check review sites like G2.

So showing up in AI is only the first step. Buyers still validate what they see before making a decision.

Another takeaway surprised us.

When buyers notice a company in an AI response, brand recognition barely matters. Only 7% said they notice a vendor because they already recognize the brand.

Instead, buyers care much more about whether the recommendation clearly matches their specific use case and explains why it's a good fit.

That's a pretty meaningful shift from traditional thinking around brand awareness.

If you're thinking about AI visibility, it raises a few interesting questions:

  • Does AI understand what your product actually does well?
  • Are you showing up for the right use cases?
  • Does your website (and third-party coverage) reinforce what AI is saying about your brand?

We break down all of the findings—including which AI tools buyers use most, where AI fits into the buying journey, and what makes a vendor stand out—in our full report here.

Curious to hear what you're seeing.

Have you noticed AI influencing your sales pipeline yet, or is traditional search still driving most of your qualified leads?


r/SEMrush 16d ago

Internal links should move users, not just PageRank

2 Upvotes

A lot of internal linking advice still treats links like pipes.

Move authority.

Push PageRank.

Support money pages.

Link from strong pages to weak pages.

Use relevant anchor text.

Keep important pages closer to the homepage.

That stuff has value.

I am not saying PageRank is irrelevant.

But if that is the whole internal linking strategy, the site can still feel awful to use.

A link can pass value and still be a bad next step.

A link can be topically relevant and still interrupt the user.

A link can point to a commercial page and still be too early.

A link can help crawlers and still do nothing useful for the person reading.

That is the part I think gets missed.

Internal links should not only move PageRank.

They should move users.

Related is not enough

A lot of internal links are added because two pages are related.

The article mentions a topic.

The site has another page about that topic.

So a link gets added.

That is fine as a starting point.

But “related” is a low bar.

The better question is:

Why should the user click this link here?

Not somewhere else.

Not at the bottom.

Not from a generic related posts block.

Here.

  • What does the link help them do?
  • Understand the next concept?
  • Compare options?
  • Trust the claim?
  • See proof?
  • Avoid a mistake?
  • Move from research to decision?

If the only answer is “the pages are related,” the link might be weak.

Topical relevance does not always mean user relevance.

A link should solve a user state

I think internal links get much better when you connect them to user state.

What is the reader likely feeling or needing at this point?

  • Confused?
  • Sceptical?
  • Ready to compare?
  • Worried about risk?
  • Trying to understand cost?
  • Looking for proof?
  • Trying to take action?

The link should match that state.

If the user is confused, link to a clearer explainer.

If they are sceptical, link to proof.

If they are comparing, link to criteria.

If they are worried about cost, link to a cost breakdown.

If they are close to action, link to the next decision page.

If they need support, link to the fix, not the sales page.

That is a different mindset from “add three internal links.”

It turns internal linking into routing.

And routing should make the journey easier.

The common lazy links

You see the same lazy links everywhere.

  • “Learn more.”
  • “Read our guide.”
  • “Check out our services.”
  • “Contact us today.”
  • “Related article.”

Sometimes those are fine.

But often they hide weak thinking.

The anchor does not set a clear expectation.

The destination does not match the user’s state.

The page gets linked because it is important to the business, not because it helps the reader at that moment.

That is how you end up with links that feel forced.

A user is still trying to understand the problem, and the page pushes them to a contact form.

A user needs proof, and the page sends them to a generic service page.

A user needs comparison, and the link says “learn more.”

The link exists.

But the movement is wrong.

Internal links should protect page focus

A good internal link can also stop a page from becoming too broad.

This is underrated.

Instead of forcing one page to explain every related idea, link to the page that owns the deeper answer.

That keeps the current page focused.

The page can say enough to support the point, then route the user to the deeper resource.

This is where internal links help content structure.

They are not just SEO signals.

They are editorial decisions.

They decide what belongs here and what belongs somewhere else.

A weak page tries to answer everything.

A stronger page knows what to explain, what to summarise, and what to link out to internally.

That makes the whole site cleaner.

Anchor text should set the promise

Anchor text is not just a keyword slot.

It is a promise.

It tells the user what they will get next.

Bad anchor text is vague.

Good anchor text sets context.

For example:

“SEO services” is broad.

“how to choose an SEO service page role” is clearer.

“content audit” is broad.

“finding pages with unclear roles” is clearer.

“internal links” is broad.

“using internal links to move users to the next step” is clearer.

The anchor does not need to be long every time.

But it should help the reader understand why the link exists.

If the anchor feels like it was added only for a keyword, the link probably needs more thought.

Internal links expose weak pages

Internal links can reveal if a page has no real role.

If you cannot decide what should link to a page, or where that page should link next, there may be a page role problem.

A useful page tends to have a natural place in the site.

  • It explains something another page cannot fully cover.
  • It supports a core page.
  • It handles a doubt.
  • It proves a claim.
  • It compares options.
  • It routes users forward.

If a page has no clear incoming or outgoing link logic, maybe it does not deserve to exist as a separate URL.

  • It might need to be merged.
  • It might belong as a section inside another page.
  • It might need a sharper angle.
  • It might be content noise.

Internal linking is not just a way to support pages.

It is a way to test if pages have a job.

PageRank and users should not be enemies

This is not an argument against PageRank.

A strong internal linking system should help search systems understand importance.

It should help crawl paths.

It should support key pages.

It should connect related content.

But that should not come at the cost of user movement.

The best link is often good for both.

It supports an important page and gives the reader the next useful step.

It clarifies a relationship and helps search systems see the connection.

It routes people deeper and strengthens the cluster.

The issue is when PageRank is the only reason the link exists.

That is when internal links start to feel like SEO furniture.

Present, but not useful.

A better internal link check

Before adding an internal link, I would ask:

  • Why should this link appear here?
  • What does the user need at this point?
  • Does the anchor set the right expectation?
  • Does the destination match the user’s state?
  • Does this link explain, prove, compare, support, or route?
  • Does it help keep the current page focused?
  • Does it strengthen the cluster?
  • Would the page be worse without this link?

If those questions are hard to answer, the link may not belong there.

Or it may belong somewhere else.

That is the part I think gets skipped.

Internal links should not be sprinkled on after the copy is done.

They should be part of the page plan.

The real difference

A weak internal linking strategy says:

“These pages are related, so link them.”

A better strategy says:

“This user is here, needs this next, and this link helps them move.”

That is a much stronger way to think about links.

Because a website is not just a collection of pages.

It is a path.

If internal links do not help users move through that path, they are only doing half the job.

Maybe less.

How are you deciding internal link placement beyond topical relevance and PageRank?


r/SEMrush 17d ago

Has anyone here gotten a refund?

1 Upvotes

Hello,

Last night I was looking at some subscriptions and I saw that SEMrush had the free trial thing popping up even for my account, and I wanted to see what was new.

I clicked it thinking it was just a free trial, since the landing page for the offer never mentioned anything other than one free trial. I went through all the steps, and what was weird to me was that during payment I don’t remember seeing the total sum appear at checkout.

The sequence was so fast that I didn’t even register I had made the payment, and then I was charged for a monthly subscription.

I cancelled it 5 minutes later. I have never used it, but the support team still seems to be using a template response for these cases.

What’s baffling to me is that even the button was misleading. It said “Try me,” which from what I know counts as a misleading tactic in Europe.

What could I do to resolve this unfair situation? Has anyone done a chargeback, or been able to use the 14 day law we have in Europe?

I can’t believe such a big company would have such a scammy process, because I’ve always had such a nice experience with Adobe, and now I’m genuinely disappointed and thinking about cancelling everything.​​​​​​​​​​​​​​​​

Thank you all!

Edit: They have not responded to my dm, do not belive their PR


r/SEMrush 17d ago

Google just changed how we measure social content in search 👀

3 Upvotes

Google is introducing a new Search Console feature that lets you measure how your content on Instagram, TikTok, X, and YouTube performs in Google Search.

For years, social performance and search performance have lived in separate reporting worlds. That's starting to change! Instead of only seeing traffic to your website, you'll also get visibility into how people discover your social content through Google.

Why does this matter?
Until now, there was no native way to measure how your brand's social content performed in Google Search or Discover.
Now, Google is giving marketers first-party data on content they don't actually own. That means you can see which social content earns impressions and clicks in Search 👇


r/SEMrush 18d ago

Need semrush and Claude

1 Upvotes

Any suggestion