Just because your brand gets recommended by ChatGPT...

Doesn't mean Claude, Gemini, or Perplexity will recommend you too.

This is one of the biggest misconceptions in AI Search.

We often talk about "AI visibility" as if all LLMs use the same recommendation system.

They don't.

Each model has different data sources, retrieval behaviour, ranking signals, and ways of deciding which brands deserve to be mentioned.

Think of it like traditional SEO:

Google and Bing don't rank pages exactly the same way.

AI models are no different.

Here’s how I think about them:

1️⃣ ChatGPT: The one that actively searches

ChatGPT can search the web, evaluate multiple sources, and decide which information belongs in the answer.

What tends to matter:

→ Strong owned content
→ Clear, answer-first pages
→ High quality third-party mentions
→ Fresh and comprehensive information
→ Accessible content that can be retrieved

The interesting part?

Your own website can play a major role here, but only if the model can discover and trust it.

2️⃣ Claude: The one that remembers

Claude doesn't rely on web search for every answer.

That means citations are only part of the visibility equation.

What matters:

→ Consistent brand mentions
→ Strong editorial coverage
→ Authoritative third-party sources
→ A recognizable entity footprint
→ Content that builds long-term authority

The goal isn't simply to rank.

It's to become a brand Claude already knows and trusts.

3️⃣ Gemini: The one connected to Google

Gemini operates within Google's broader information ecosystem.

That makes your existing search and entity signals particularly important.

Focus on:

→ Google visibility
→ Knowledge Graph and entity signals
→ YouTube presence
→ Wikipedia and authoritative references
→ Accurate, structured brand information

But don't assume a Google ranking automatically means visibility across every AI surface.

4️⃣ Perplexity: The one that verifies

Perplexity is heavily search and citation oriented.

It tends to reward:

→ Recent information
→ Strong sources
→ Original research
→ Well cited content
→ Relevant editorial and community sources
→ Clear, factual answers

This makes source quality especially important.

But there is one signal that works across all of them:

Independent sources agreeing about your brand.

Your website saying you're an expert is one signal.

10 credible sources independently describing you as an expert is a much stronger entity signal.

That's why AI Search isn't just an SEO problem.

It's an entity + content + authority + citation problem.

So don't ask:

"How do I rank in AI?"

Ask:

"Which AI platforms are my buyers using, how does each one discover information, and what sources influence its recommendations?"

Optimising for one model won't automatically win the others.

Understand the system first.

Then build for it.

Which LLM gives you the most visibility today: ChatGPT, Claude, Gemini, or Perplexity?

Everyone talks about getting cited by AI.

Very few talk about everything that has to happen before you ever earn a citation.

That's the biggest misconception in AEO.

Most marketers optimize for the last step of the funnel...

...without realizing AI has already filtered out the majority of content long before that.

I call this the AEO Citation Funnel.

Think about it this way.

A citation isn't where AI starts evaluating your brand.

It's where the evaluation ends.

Before ChatGPT, Gemini, Claude, Google AI Overviews, or Perplexity recommend your content, your page has to survive multiple layers of filtering.

Here's the framework I use:

🟢 Layer 1: Presence

Can AI even discover that your brand exists?

Your visibility shouldn't stop at Google.

You need to be present across:

• Google Search & Bing

• Google AI Overviews

• ChatGPT, Gemini, Claude & Perplexity

• LinkedIn

• Reddit

• YouTube

• Industry communities

• Review platforms

If your customers are searching there...

your brand should exist there too.

🟡 Layer 2: Crawlability

Can AI actually access your content?

Blocked AI crawlers.

Poor rendering.

Broken robots.txt.

Missing llms.txt.

None of the layers below matter if AI can't retrieve your pages.

🟠 Layer 3: Structure

Can AI easily extract the answer?

Most pages bury the answer halfway through the article.

LLMs don't.

They prefer:

• Answer-first writing

• Clear H2s

• FAQ sections

• Semantic HTML

• Structured data

If your content is difficult to extract...

it becomes difficult to recommend.

🔵 Layer 4: Trust

Should AI believe you?

This is where E-E-A-T matters.

Named authors.

Recent updates.

Organization schema.

Person schema.

Consistent entity information.

Fresh statistics.

Trust isn't built from one signal.

It's built from many signals pointing to the same conclusion.

🟣 Layer 5: Authority

Does the rest of the internet agree with you?

This is where most brands underestimate AI.

Your website is only one source.

AI also evaluates:

• Reddit

• G2

• Capterra

• Trustpilot

• LinkedIn

• Trade publications

• Podcasts

• Wikipedia

• Industry directories

Independent validation consistently outweighs self-promotion.

🔴 Layer 6: Citation

Now your content has earned the right to be cited.

Not because it ranked.

Because AI trusted it enough to reference it.

This is where your URL starts appearing inside AI responses.

⭐ Layer 7: Recommendation

This is the outcome everyone wants.

Your brand isn't just cited.

It's recommended.

Compared favorably.

Suggested in buying journeys.

Positioned as the best solution.

That's where AEO starts driving pipeline instead of just impressions.

Here's what I think the industry gets wrong.

Most businesses are trying to improve Layer 6...

while still leaking opportunities in Layers 1 through 5.

You can't compensate for weak authority with better schema.

You can't compensate for poor structure with more backlinks.

You can't compensate for missing trust signals by publishing another blog.

The funnel works in order.

Every layer becomes the ceiling for the next one.

The companies that dominate AI Search over the next few years won't simply create more content.

They'll build systems that improve every layer of the funnel:

✔ Presence

✔ Crawlability

✔ Structure

✔ Trust

✔ Authority

✔ Citation

✔ Recommendation

Because in AI Search...

A citation isn't the goal.

Recommendation is.

Which layer do you think most businesses are currently ignoring?

My bet is Authority.

Everyone is publishing content.

Very few are building enough independent trust for AI to confidently recommend them.

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