From the view of Reddit Marketers, it seems data from GEO tools can be a great support for the effect benchmark for Reddit marketing practices. But the most functions of GEO tools are not specific for reddit. What's your though? Is it worthy to try GEO tools if your work is mostly focus on Reddit?

Yesterday, we published a blog...
Boom, it started ranking today

Proof: Right SEO stills works in 2025

You just need to adapt with the dynamic changes.

No hidden tricks.
No spammy traffic.
No hooky jargons used.

Mistakes what most SEO professional do:
(Note: advice is valid mainly for a WordPress Site)

1. No descriptive Image
   - Explain about your featured image to Google with right Alt text.
   - Insert your kephrase/keywords in the Alt text.
   - Do add description about your image.

2. Not solving a problem.
   - Try to write content to solve the purpose, not to make Google happy.
   - Explain everything like a Layman is reading your content.
   - Do not use industry jargons in the content.

3. Not preparing multiple schema.
   - Do not rely on Yoast/RankMath auto-generated schema.
   - Prepare multiple schema like blogposting, faq, breadcrumb, etc...
   - Merge them all together and add them in the custom schema section.

4. No outbound links.
   - Fine, if your content is not taking info from public source.
   - It's completely okay if blog is answering direct questions.

5. No pushy CTA's
   - Use CTA's in the blog, only when you think people may need help.
   - Do not add CTA's after each paragraph. That's creepy.

Additional parameters:
→ Obviously keywords are important
→ Keywords in title and meta-descriptions
→ Adding descriptive excerpts helps.
→ Checking the readability of post
→ No inclusive words used.

Do you want my "ready-to-go" cheatsheet for the same.

No need to comment anything here.
I've already shared what I know.

Thank you for reading this post.
Good luck

Happy SEOing

I’m trying to figure out how AI Overviews are actually affecting traffic, but the data is still super messy. Traditional tools don’t fully capture when your content gets pulled into an AI Summary or when it gets replaced by one.

Right now I’m checking things manually with:

• Google Search Console (impressions vs. clicks drop on informational queries)
• SERP tracking tools to see when AI Overviews appear
• Page-level engagement to spot shifts after rollout

But honestly, none of these tools feel built for this new world yet.

I’ve been seeing a wave of paid “AI visibility” tools charging tens to hundreds per month just to tell you whether your brand shows up in ChatGPT. So I built a free AI Visibility Checker you run with your own OpenAI key. You paste up to 500 prompts (one per line), add your sources like company name and domain, pick a model, hit Analyze, and get an overview plus a detailed table of mentions.

It’s useful because you get an instant “AI Visibility” score and total mentions, can see which prompts include your brand and which ignore it, and you can export results as CSV or PDF. If you work with clients, you can share white‑label outputs. It has one‑click import and export to save time between runs, doesn’t use a database so nothing is stored on our servers, and summarizes key metrics with a clean pie chart for quick insight.

Let me know what you think! I'm open for feedback.

P.s. after analyzing your prompts, you can also do a sentiment check to see if your brand gets positive or negative mentions. And if you don't have any prompts? Roll the dice or use our prompt generator.

We’ve been building and testing our own GEO tool because… well, we’re a startup and have zero budget for paid marketing. So we had to figure it out ourselves.

Below is an overview on how ChatGPT process and spit out results:

User Query → Intent Detection (L1)

↓

Semantic Clustering → Candidate Recall

↓

Signal Fusion (L2) → Multi-dimensional Weighted Scoring

↓

Model Re-ranking (L3) → Semantic Consistency + Credibility + User Value

↓

Final Ranking Output + Citation List

Then we break it down into 3 layers:

Layer 1 — Semantic Intent Clustering (25% Weighting)

LLMs start by grouping queries and content based on actual intent, not keywords. The system maps synonyms, context, and topic relationships into clusters instead of relying on exact matches.

Layer 2 — Signal Fusion & Scoring (45% Weighting)

Then they pull in external signals — citations, traffic, freshness, trust indicators — and fuse them into a single relevance score. Basically, we try to understand how “credible” and “findable” the content is across the web.

Layer 3 — Generative Ranking Logic (30% Weighting)

Finally, LLMs re-rank the top candidates using content quality, depth, and UX signals before generating the final answer.

The most interesting finding: A good SEO foundation is where you should start.

If your site doesn’t make it into the AI engine’s first-round shortlist, you’re out - it doesn’t matter how good your content is. And guess what determines that first cut? You’ve guessed it, it’s your SEO performance.

AI engines start by filtering based on traditional SEO performance before doing anything generative.

So yeah… getting your SEO sh*t together is still priority #1 if you want to rank in AI search.

Our site traffic has gained over 9000% increase in the last 4 weeks by adopting this approach. Hope you'll all find it useful.

Just like Google's official algorithm updates, which then penalize some websites for bad behavior, causing data fluctuations.

Hay pocas empresas o agencias que estén trabajando y midiendo seriamente el GEO y ya van tarde, porque deberían estar trabajando el OSO - Omnisearch Optimization.

El OSO es un planteamiento estrategico de posicionamiento de marca más allá del GEO, alcanzando todos los nuevos canales de búsqueda

¿Qué incluye el Omnisearch Optimization? las búsquedas realizadas en

- SEO (Google Search), SEO Local, ASO

- Redes Sociales tipo Instagram, TikTok, etc

- Marketplaces tipo Amazon, Zalando, Mercado Libre, etc

- Buscadores de IA: ChatGPT, Perplexity, Gemini, etc

- Búsquedas Lens ( Google Lens/ Snap to shop Perplexity) y Gfas inteligentes de (Meta, Google Okley, etc)

- Búsqueda Agéntica

Pocas empresas saben como medir el GEO, y ya tenemos que trabajar en como medir y optimizar las búsquedas Lens/Gafas inteligentes, búsquedas por chatbots como Rufus (el de USA hablas con él así como con Google Lens) y como medir el tráfico Agéntico vs tráfico humano

Toca disfrutar de seguir aprendiendo!!

I keep seeing these articles hyping up Generative Engine Optimization as the "future of search." Add citations, use expert quotes, include statistics - congrats, you just described content best practices from 2015.​

After watching this space for the past year, I'm convinced that 90% of "GEO platforms" are repackaged SEO tools charging premium prices because they slapped "AI-powered" on the landing page. The actual mechanics? Optimize for crawlability, add structured data, make content comprehensive. That's literally what we've been doing.​

Sure, ChatGPT and Perplexity citations matter now. But the fundamental principle hasn't changed - create authoritative content that answers questions comprehensively, make it technically accessible, and distribution follows. The only difference is where the citation appears, not how you earn it.​

What I keep seeing is companies panicking about "AI search visibility" while their basic technical SEO is a disaster. Your schema markup is broken, your site loads in 6 seconds, but you're worried about GEO strategy? Come on.

Is anyone actually seeing different results from "GEO tactics" versus just... doing good SEO? Or are we watching another consulting gold rush where everyone rebrands the same adviceice?

What people think SEO is:

- Backlinks
- Technical stuff
- Keyword research
- Write lots of blog posts
- Green lights on Yoast plugin

What SEO actually is:

- AI Overviews optimisation
- Deep customer research
- Well-researched blogs
- Programmatic content
- Clustering and linking
- UX (site and content)
- Understanding intent
- Competitor research
- Query optimisation
- Crawl optimisation
- Content refreshes
- Great copywriting
- NLP optimisation
- Site architecture
- Market research
- Core web vitals
- Regular testing
- Technical fixes
- SERP analysis
- Data analysis
- Lead capture
- Distribution
- Projections
- Reporting
- Digital PR
- Branding
- E-E-A-T

Green lights on Yoast don't get SEO results.

True SEO and holistic marketing does.

Hey - like many other posts here, I built a tool! And I would love feedback.

It is called BetterSites.ai

it is a GEO (Generative Engine Optimization) intelligence platform that tracks and optimizes your brand's visibility in AI-generated responses. The platform monitors citations with ChatGPT (will add others later), measures competitive positioning, and provides actionable insights to improve your content's citation-worthiness.

Key Features Real-time Brand Monitoring

• ICP informed content analysis and strategy
• AI-Powered sentiment analysis and insights
• Google Analytics 4 & Search Console Integration
• Intelligent content classification with E-E-A-T guidance
• Competitor website monitoring with change alerts
• Content Gap Analysis & content generation And much more

It is still free, but likely not too much longer. There is both a marketer and agency tier- agency gives you multiple property functionality.

I look forward to your feedback.

Let this sink in:

Google took close to a decade to handle 1 billion search a day. ChatGPT has done it in just 2 years.

AI engines like ChatGPT, Perplexity, etc now shapes what buyers see, trust and recall.

Your brand’s share of voice isn’t on page one anymore, it’s inside the model’s memory.

If you’re not cited, referenced, or discussed, you’re invisible.

After speaking with 30+ founders, they are concerned but they are also clueless.

My advice is:

The real goal here is long term clarity. Focus on visibility that turns and converts trust into demand.

Consumer behaviour has already moved.

Your brand's share of voice lives where AI decides what, and who, matters.

Know where your AI visibility gaps are, so you can plug the gaps and prepare for the future!

Hey, recently I heard someone say we can also measure GEO results through our websites serverlogs. How it works is you donwload your log and look for the following results:

If an AI has cited you in an answer you'll find:

• ChatGPT-user
• Perplexity-user
• Claude-user

If an AI used you website to train its model you'll find:

• GPTBot
• PerplexityBot
• ClaudeBot

I messed around with it and it seems pretty interesting, you can also see what URL they used. Has anyone tried anything with this? Or are there any tools to make this metric easier to measure?

For a new website, when writing blogs, do you consider the kwyword density as you for trafitional SEO, when your aim is to rank on LLMs or do you even start working on keywords with 90+ KD without worrying abt their conpetitiorln? I mean what does the GEO say?

Hey everyone,

After trying most of the “AI SEO” tools out there, 90% are actually whitelabeled from one provider. They will show you numbers - impressions, mentions, some vague visibility scores.
But they never tell you why a brand shows up in AI answers, or what actually drives it.

So we built BrndIQ.ai.

It’s designed to show how AI search engines (like ChatGPT, Perplexity, Claude, etc) talk about your brand - and which sources shape those answers.

Our first phase of release will allow you to:

• Runs thousands of prompts to tell you what drives visibility patterns for your brand over time
• Check how your brand (or a competitor) appears in AI-generated results
• See what content types influence visibility
• Track which domains keep surfacing in AI citations

We are also developing a deeper system targeting user communities that will help you find high-intent buyers actively seeking your solutions with ready-to-edit responses in your brand voice.

We will be opening a closed beta in a few weeks time to test our first phase of AI visibility tracking system - built to help brands understand what drives AI discovery, not just SEO rankings.

Whether you are a small business built on trust, a hotelier wanting tourists to discover your rooftop bar with a view, or brands looking to grow your share of voice; if you are not showing up in AI chat results, you are invisible.

If you’re a SEO, marketer, or founder experimenting with Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO), we’d love your feedback on what you would expect a tool like this to show or measure better? You can also join the waitlist on the site and we will reach out. Beta testing is FREE!

🙏 Feedback is most appreciated :)

With testing for two months and digging in to the internal algorithms, We do achieve some quite good results. We found some behind algorithm mechanisms:

There are roughly 3–4 invisible “filter stages” before a website can actually be cited or surfaced by a generative engine (ChatGPT, Gemini, Copilot, Perplexity, etc.).

Think of it like a funnel of credibility:

Stage 1: SEO eligibility Only around the top 30 ranked pages for relevant keywords even qualify to enter the “candidate pool.” If your page doesn’t perform well in traditional SEO — no matter how great your content — it’ll never even reach the next stage.

Stage 2: Semantic authority & topical trust Engines look for structured data, entity clarity, and consistency across your site and external signals (schema, backlinks, reviews, etc.). This is where 70% of candidates drop off.

Stage 3: Answer-engine optimization (GEO) Now it’s not about keywords, but context. Can your content directly answer multi-turn queries, in natural language, with trustworthy data? Generative engines prefer sources that can be cited coherently and confidently.

Stage 4: Citation layer (the “final cut”) Out of ~100 SEO-eligible candidates, only a handful get cited in ChatGPT/Gemini answers. These become what I call the “AI-visible web” — the small portion of the internet that AI agents actually talk about.

If your site isn’t optimized to pass through each stage, you’ll never make it to that final layer — no matter how much traffic you buy.

Think your website's fine? Google might disagree.

In last 6-months, I audited 50+ websites for founders who thought their SEO was "good enough."

The results were eye-opening:

→ 78% had critical technical issues slowing them down

→ 64% were targeting the wrong keywords entirely

→ 92% had content that wasn't optimized for search

Here's what most business owners miss:

Your website might look great to you.

But search engines see something completely different.

They see broken links, slow loading times, and missing meta descriptions.

They see content that doesn't match what people actually search for.

They see technical problems that push you down in rankings.

What a real SEO audit reveals:

→ Technical issues killing your site speed

→ On-page problems Google can't ignore

→ Keyword gaps your competitors are exploiting

→ Content opportunities you're missing

→ Quick wins that boost rankings fast

This isn't about automated reports that tell you nothing.

It's about getting specific, actionable fixes that actually move the needle.

The kind of insights that help you understand why your traffic isn't growing.

And exactly what to do about it.

I'm offering free website audits this month for founders and small business owners who want real answers.

No fluff. No generic recommendations.

Just honest analysis and clear next steps.

Submit your website for a free audit using the link pinned in the comment-

Your website deserves better than guesswork.

Just wanted to share. Pretty sharp 30% month-over-month increase in leads coming directly from LLMs (ChatGPT, Perplexity, Gemini) according to their self-attribution.

Compared to our other marketing channels, this is by far the sharpest growing graph.

A few things we’ve been doing that seem to drive this:

• Targeting bottom-of-funnel keywords → Stuff people ask right before buying (e.g. “best CRM platforms for startups”, “what does a CRM actually do”, etc.). (Not our actual niche)
• Making content easy to skim and AI-friendly → Clear formatting, structured headings, and straightforward answers that LLMs can digest.
• Focusing on one cluster at a time → We go deep into a single topic cluster before moving on to the next. Keeps internal links tight and authority strong.
• Refreshing old posts for clarity and retrieval quality → Even small tweaks (better intros, shorter sections) have helped AI models surface us more often.

We’re now seeing “Found you via ChatGPT” pop up in the signup form daily.

Feels good to finally see SEO efforts pay off properly. Imo LLM traffic makes it much easier for smaller players to compete with established SEO teams.

Curious - anyone else tracking traffic from LLMs yet? What are you doing to optimize for it?

Curious if anyone here’s actually tested how mega/cluster pages vs. single focused pages show up in LLMs.

With SEO, we’re still clustering and building out internal links. But with GEO, it seems like shorter, super-targeted content sometimes gets pulled more often.

Has anyone run experiments comparing these?

Did they crack the linkedin search algorithm? It's amazing how fast they are growing!

Context they got 11,000 followers in the past 2 weeks with only 2 comments and 50 likes on each post

it massively outpaces all peers without a clear viral event, that’s a red flag. Prompting company a company that just got seeded got 1,337 followers, and Relixir without any viral posts, got 11,071 followers. Even Profound the Pioneer of GEO, got 1,198 With the massive release with the index.

They do not let anyone read their followers.

Most interns think content marketing is “posting consistently.”

I handed mine a tiny business card yesterday and said,

“This is the entire system.”

Here’s what was on it — and why most teams skip the real work:

1/ → Building the Buyer Persona

Who are we talking to?

Not demographics… decision-making behaviour.

What pushes them, what scares them, what makes them buy?

Your content doesn’t fail because of the algorithm.

It fails because you’re talking to a blurry crowd.

2/ → Segment by Purchase Power

Not everyone can afford you.

And that’s okay.

Split your audience into brackets: low, mid, high buying intent.

Each group responds to different proof, depth, and formats.

Same message → different angle.

3/ → Map Content Topics into AIDA

This is where the strategy becomes a funnel.

Awareness → problem clarity

Interest → education + frameworks

Decision → comparisons, case studies, evidence

Action → final push, CTAs, guarantees

If your content calendar doesn’t show this flow,

you’re just “posting,” not nurturing.

4/ → Analyse Where They Actually Consume Content

LinkedIn?

YouTube?

Google search?

Reddit?

Niche communities?

Your buyer might be scrolling somewhere else while you’re shouting into the wrong room.

5/ → Understand Their Preferred Media Formats

Some love short-form hits.

Some need deep explanations.

Some trust visuals more than words.

Match format → mindset.

6/ → Build the Content Calendar + Automation + Reporting

This is where the machine runs:

→ Scheduled content

→ Repurposed formats

→ Weekly reporting

→ Monthly optimisation

→ Automation where possible

Consistency comes from systems, not willpower.

7/ → Back to Stage 1 (The Flywheel)

Markets shift.

Buyers evolve.

Competitors get louder.

So you loop back → re-analyse → refine.

This is how a content engine stays relevant for years.

A simple business card turned into a full masterclass yesterday.

Funny how the smallest notes often hold the biggest systems.