
How recommendation systems differ across LLMs
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?