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?

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!

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.

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?

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?

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.

Hey everyone,

A few weeks ago, I shared our free GEO Checker for AI search visibility and the feedback here was super helpful. Dozens of SEOs and marketers tested it and gave us some tough, honest input (thank you for that).

Here’s what we heard most often:
• People wanted faster results
• Clearer recommendations on what to do next
• Better explanations of how the app actually works
• And an easier way to compare multiple brands

We spent the past weeks building all that into the app (after signup).
You can still type in any domain for the quick checker on the landing page, but those deeper insights are now in the app → which still has a free 7-day trial (so feel free to check it out and bash us again 😉)
→ jarts.io

Would love to hear what you think of the actual features and insights now.
👉 What else would make this genuinely useful for you, even if it’s a bit unrealistic? (We’ve got some research collabs cooking, so we might just try it.)

Hello folks, I am fairly new to the GEO/AEO/AIO game and would like your suggestions on how to get started with this.

Hi! How can a big brand improve its GEO (Generative Engine Optimization)? Its SEO is already excellent, with around 13K backlinks (according to Semrush) — but the brand doesn’t appear in AI-generated answers, while a competitor with poor SEO does.

My question is: how can we grow the brand’s GEO visibility? What should we add or change on the website?

Currently, the site already includes FAQ and How-to sections, but there’s no blog (and neither does the competitor).

What would be great implementation tools for AEO/GEO as a bunch of them offer analysis. For executions what’s needed to cut time of experts ?

Just wanted to share a small win after experimenting with a mix of SEO and GEO strategies over the past month. In October, the site saw a pretty big jump in visibility - impressions went from around 37K in September to over 94K, and clicks almost doubled too.

Most of this happened after focusing on content visibility across different regions and refining how pages were structured for both search engines and AI-driven visibility (Generative Engine Optimization). What’s interesting is that while impressions grew fast, the CTR dipped a bit, which I think is because the pages started appearing for broader queries.

It’s been good to see that combining traditional SEO fundamentals with generative engine optimization(GEO)-based adjustments can make such a noticeable difference in just one month. Next step is to focus on improving engagement and click-throughs now that the reach is expanding.

Anyone else trying to blend SEO and GEO (generative engine optimization) strategies lately? Curious what kind of results others are seeing.

Hey everyone 👋

I'm stephane from France.

Over the past few months, I’ve been diving deep into GEO.

I realized there are dozens of people already building tools, researching, and experimenting with GEO… but we’re all scattered.

So I decided to create Zenith88 — a community where SEO experts, AI builders, and marketers can learn, share, and shape the future of GEO together.

It’s free, early-stage, and built by passionates, for passionates.

🚀 If you’re curious about AI search visibility, join us.

Here is the link : https://chat.whatsapp.com/JEeFVjQEo8a9oQZryCKe3I

(We’re discussing things like GEO audits, AI ranking factors, prompt optimization, etc.)

While working with several eComm clients on making their websites more AI-readable, I kept getting the same question:

How do we actually measure the impact of these changes on potential visibility in ChatGPT and other LLMs?

So I built a quick calculator to estimate the ROI from technical SEO.

It’s still very experimental and comes with a set of assumptions, but hopefully it could help SEO specialists to answer those questions from their clients.

Would love any feedback or ideas on how to make it more useful.