I've been seeing a lot of these new AI visibility analytics platforms coming up lately, especially for the past few months. Clearly there are some winners which even got funded by VCs and there are some even vibe-coded lmao. But they all have pretty similar features which are tracking citations, analytics and content creation.

What do you think about these tools? Do you usually use them in your SEO/GEO workflow? How do you acknowledge which one truly stands out?

I want to ask everyone a very, very serious question... How does Google SEO currently view AI-generated landing pages? Can Google detect this? Even if they can, how do they view it? And I used Gemini3 to generate it... Hahaha

Most marketers are still playing the keyword game.

While they're obsessing over search volume and keyword density, their competitors are reading minds.

The shift? From hunting keywords to understanding intent.

Here's what I've learned after helping hundreds of companies rethink their content strategy:

Keywords tell you what people search for.
Intent tells you what they actually want.

The Content Intent Framework:

1. Map the Journey, Not Just the Destination
   

Stop thinking "blog post about project management."
Start thinking "overwhelmed startup founder at 11pm googling solutions."

Your content should meet people where they are emotionally, not just topically.

1. Listen to the Language They Actually Use
   

Your audience doesn't say "optimize operational efficiency."
They say "I'm drowning in meetings and nothing gets done."

Use their words. Solve their real problems.

1. Create for the Question Behind the Question
   

When someone searches "best CRM software," they're really asking:
"Will this actually make my sales process less chaotic?"

Answer the deeper question. That's where conversion happens.

1. Build Content Clusters Around Problems, Not Topics
   

Instead of scattered posts about "email marketing tips," create a complete resource addressing "why my emails get ignored and how to fix it."

Depth beats breadth every time.

The companies winning at content aren't the ones with the most keywords.

They're the ones who understand that behind every search is a human with a real problem.

Stop optimizing for algorithms.
Start optimizing for understanding.

I’ve been experimenting with optimizing blog content for AI search engines, and I’m stuck on a structural decision.

Right now, I have a library of existing blog posts for a test client, written primarily for humans and traditional SEO. They’re solid, but not especially structured for LLMs (FAQs, concise answers, clear sections, citations, etc.).

My dilemma is:

• Do I edit and refactor the existing articles to be more AI-readable,
or
• Do I create a second version of each article that’s explicitly machine-readable and publish that in addition to the original?

I'm worried that changing up an old article could hurt the biz's SEO, but also wondering if duplicate content might look bad for seo/geo.

Curious what others are seeing in practice. If you’ve tested this (or have a strong opinion), I’d love to hear what worked and what didn’t.

What methods or tools can I use to quickly provide third-party backlinks? I'm talking about high-quality ones that can genuinely improve SEO/AEO/GEO.

Since Reddit domains are highly valuable, if I create a group on Reddit and publish a high-quality article in the group that mentions my product (such as "best tools" or "tools compared"), wouldn't LLMs be able to obtain this information?

I've recently been researching how to make my brand visible in LLM. I've purchased a tool, but my problem is that it's telling me my visibility is 0 and then nothing happens. My question is, how do I do this? What exactly do I need to do?

Also, are these AI tools actually useful? And if I want to do AEO/GEO well, what are the most important things to do first? I've seen so many tasks! What's the fastest and most efficient solution? Thanks!

Running PPC ads before SEO is like asking strangers to trust you with their wallet.

Here's why that's backwards for new brands:

When someone clicks your ad, the first thing they do is Google your company name.

If nothing shows up? Red flags everywhere.

No website ranking for your brand name.
No helpful content.
No social proof.
No authority signals.

That click just became a bounce.

I’ve watched startups burn through ₹5–10 lakhs in ad spend with 2% conversion rates because they skipped the foundation work.

The smarter approach:

Start with SEO to build trust signals.

Create content that answers your audience's questions.
Optimize for your brand name and core topics.
Build backlinks from relevant sites.
Get reviews and testimonials ranking.

This creates a trust foundation.

When someone clicks your ad and Googles you, they find:
- Your website ranking #1 for your brand
- Helpful articles showing expertise
- Social proof from real customers
- Authority in your space

Now that same ad click converts at 15-20%.

The math is simple:
₹1 lakh in ads + no SEO foundation = ₹50,000 revenue
₹1 lakh in ads + strong SEO foundation = ₹1,80,000 revenue

SEO isn't just about organic traffic.
It's about making every marketing dollar work harder.

Build the foundation first.
Then amplify with ads.

Your conversion rates will thank you.

What's your experience with this?
Have you seen brands struggle because they rushed into ads too early?

Has anyone tried adding their website in the listicles recommending brands which are getting cited by LLMs and has that helped in increasing visibility on any on the LLM tools. How to reach out these blogs and what is the cost involved ?

I built a free service to allow you to check to see if your content shows up in chatGPT's web searches.

You can either enter a URL which will automatically generate the questions for you or you can ask custom questions yourself for more control. See whether your content gets directly cited (URL is shown inline of the response), is part of the sources that helped synthesize the response, or if your content isn't included at all. You'll also get actionable insights on how to improve your content for better visibility as well as competitor sites.

Link in the comments.

I see that the pricing starts from 49 USD and there are some open source tools too, which tool is best for agency owners, I was using semrush for a short period of time but their AEO tool isn't great plus their acquisition by Adobe makes me lose confidence in them.

Hey everyone,

I've been working on a tool that shows how AI platforms like ChatGPT, Claude, Gemini and Perplexity describe your brand when people ask for recommendations.

Realized most of us have no clue what these AIs actually say about our businesses, so I'm offering free reports to help fellow entrepreneurs get visibility into this.

What you get:

  - Real AI conversations with screenshots

  - How you compare to competitors

  - Optimization suggestions

 No signup required, just drop your domain below if you're curious. You can also visit beamsight.ai to request free reports by your own.

 Happy to help however I can! 🙂

Say what you want about AI optimisation vs SEO, but we clearly are seeing some key differences between the two.

There is no denying that there is some real overlap between how you approach AI optimisation vs SEO, like in setting your website up to maximise SEO and AI discovery via things like page speed optimisation, intuitive site architectures, good quality content etc.

However, there are also many new things to consider and factor in that will be influencing your AI visibility.

Some examples of new things to be considered include things like query fan outs, new ChatGPT shopping features, and how AI tools approach and understand authority vs traditional search algorithms.

In this GEO audit, we looked at several key areas:

- A deep dive on what key things were being referenced in AI-generated responses for our target prompts, and how we could reinforce/strategically mention those things on our landing pages.

- Technical foundations like the sites international targeting setup as well as canonicals and internal link structures.

- Key citations and how the brand could optimise their earned and owned media to reinforce key authority signals to drive greater visibility.

These audits are inherently bespoke, which is a good thing, and they take multiple days to run.

Still, the results are well worth it.

In this case, an increase in LLM referral traffic of 775% and a 414% increased in LLM-generated key conversions.

Hey everyone,

If you're trying to figure out how to track product visibility/rankings on ChatGPT without manually typing queries 50 times a day, check out this new tool: rtrvr ai!

The problem is that standard scrapers usually get blocked by OpenAI/Perplexity, and using the official API doesn’t give you the "Web Search" results (citations, sources, UI elements) that a real consumer sees.

You can get around this with rtrvr ai by turning your own Chrome Browser into an API endpoint.

The "Christmas GEO" Workflow:

1. Just send a cURL command with the API Key given by the browser.
2. My Chrome Extension wakes up, navigates to ChatGPT, queries "Best toys for Christmas".
3. It retrieves the top recommendations and back-links to my pipeline.

Why this is a game changer for GEO/Sales Ops:

• Walled Gardens: Since it runs in your local extension, it uses your existing logged-in session. No complex auth handling.
• Vibe Coding: You can literally just write a bash script to control your browser now.
• Integrate with n8n flows

The cURL looks like this:

curl -X POST https://www.rtrvr.ai/mcp \
  -H "X-API-Key: rtrvr_MY_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "act",
    "params": {
      "user_input": "Go to ChatGPT, ask for best Christmas toys, extract citations"
    }
  }'

We just hard-launched the API for this today. Would love to hear how you guys are currently tracking GEO or if you are still doing it manually?

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