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Guide

Ranking factors across the major AI engines

Mike Price·September 2026·9 min read

ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude and Copilot don't pick their sources the same way. The biggest reason is simple: they read from different search indexes.

Get that one thing right and most of "how do I show up in AI search" falls into place. This is a practical look at what drives visibility in each of the major engines, what they have in common, and where they genuinely differ.

The short answer

Each engine can only cite what its underlying search can find. ChatGPT and Copilot read Bing. Google AI Overviews, AI Mode and Gemini read Google. Claude reads Brave. Perplexity uses its own index plus live crawling.

So visibility starts with being indexed and performing in Google, Bing and Brave. On top of that, every engine rewards the same things: authority, brand mentions, and answer-first, easy-to-extract content. Where they differ is in how much they weight recency, community sources like Reddit, and editorial sources like Wikipedia.

The key ideaIt starts with the index behind the engine.

An AI engine can only cite a page its search layer can retrieve. That layer is usually not the model's own knowledge - it's a live search index. So before any clever optimization, the question is whether the index feeding a given engine can even see you.

EngineSearch index it readsWhat that means for you
ChatGPT searchBingBing indexation and performance matter as much as Google
Microsoft CopilotBingSame Bing foundation as ChatGPT
Google AI Overviews / AI ModeGoogleYour existing Google SEO is the head start
GeminiGoogleGoogle ecosystem signals carry over
ClaudeBraveBeing visible in Brave Search is the overlooked lever
PerplexityOwn index + live crawlFresh, crawlable, well-structured pages win

That single table explains why a brand can be everywhere in ChatGPT and invisible in Claude, or strong in Google AI Overviews but absent from Perplexity. They're literally looking at different maps of the web.

ChatGPTBuilt on Bing, leans on editorial trust.

ChatGPT's live web search is powered by Bing. If Bing can't find or rank you, ChatGPT usually can't cite you. Beyond that, ChatGPT tends to favour established, editorially trusted sources - Wikipedia and well-known publications show up disproportionately in its citations - and it weights freshness less heavily than Perplexity does.

How to show up

  • Get indexed and performing in Bing Webmaster Tools first.
  • Build genuine authority and consistent brand mentions across the web.
  • Earn presence on the editorial and reference sources ChatGPT trusts, and on community platforms it pulls from.
  • Write answer-first content it can quote cleanly. More on ChatGPT specifically →

CopilotThe other Bing engine.

Microsoft Copilot runs on the same Bing foundation as ChatGPT, so much of the work overlaps. The practical upside: the Bing indexation and performance you do for ChatGPT pays off in Copilot too, and Copilot adds tighter integration with the Microsoft ecosystem.

PerplexityIts own index, hungry for fresh and primary sources.

Perplexity is more of a true answer engine: it maintains its own index and crawls in real time, then cites its sources openly. Two tendencies stand out. It has a strong recency bias - recently published or updated pages get cited more often - and it leans heavily on community and primary sources, with Reddit cited very frequently alongside primary research and named authorities.

How to show up

  • Keep important pages fresh and clearly dated.
  • Be genuinely present and well-regarded on Reddit and in your niche's communities.
  • Lead with clear, sourced facts - numbers, definitions, primary data.
  • Make sure your pages are fast and easily crawlable.

Google AI Overviews & AI ModeYour SEO is the head start.

Google's AI Overviews and AI Mode are built on Google's index and Gemini. Pages that already rank well in classic Google search have a real advantage, but ranking alone isn't enough - AI Overviews tend to cite pages that expose a direct answer near the top of a section, back it with specifics, and carry consistent structured data. E-E-A-T signals (experience, expertise, authoritativeness, trust) and semantic completeness are strong predictors of being cited.

How to show up

  • Do the classic Google SEO fundamentals well - that's the foundation.
  • Structure each section answer-first, with the key fact stated plainly.
  • Add and maintain relevant schema (FAQ, HowTo, Organization).
  • Cover topics completely rather than thinly.

GeminiInside the Google ecosystem.

Gemini draws on Google's index and the wider Google ecosystem, so the signals that help you in Google search and AI Overviews largely carry over. If you're optimizing for Google AI Overviews, you're doing most of the work for Gemini too.

ClaudePowered by Brave - the overlooked one.

Claude's web search is powered by Brave's independent index rather than Google's or Bing's. This is the lever almost nobody pulls: if you've only ever thought about Google (and maybe Bing), Brave visibility is a genuine blind spot. Beyond that, Claude favours clear, substantive, well-structured content it can reason over and attribute cleanly.

How to show up

  • Check whether your key pages are indexed and findable in Brave Search.
  • Keep the same discipline: authoritative, clearly structured, extractable content.

In commonWhat works across all of them.

Despite the differences, a consistent core shows up in every engine:

  • Be findable in the underlying index. Google, Bing and Brave between them cover the major engines.
  • Authority and brand mentions. How the wider web talks about you shapes whether any model trusts you.
  • Answer-first, extractable content. State the answer plainly, use clear headings, lists and tables.
  • Structured data. Schema helps every engine read and attribute your content.
  • Third-party validation. Reviews, directories and reputable roundups influence what gets surfaced.

Optimizing for AI search isn't six separate jobs. It's one foundation, pointed at three indexes and a handful of source types.

The differencesWhere the engines diverge.

  • Recency. Perplexity rewards fresh content strongly; ChatGPT is more forgiving of older, stable pages.
  • Community weighting. Reddit is cited heavily by Perplexity and matters for ChatGPT; less so elsewhere.
  • Editorial and reference bias. ChatGPT leans on Wikipedia and established publications more than the others.
  • Existing-rank advantage. Google AI Overviews and Gemini favour pages already ranking in Google.
  • Overlap is smaller than you'd think. Studies in 2026 have found only a modest overlap in the domains different engines cite - so you can't assume winning one wins them all.
A caveat worth keeping in mind: these engines change fast, and much of the citation data comes from third-party studies that use different methods and reach different numbers. Treat the specifics as direction, not gospel. What's stable is the underlying mechanism - which index each engine reads, and the fundamentals every model rewards. For a hands-on look, see my experiment asking four engines the same questions and logging what each one cited.

What to doA practical order of operations.

  • Confirm you're indexed and performing in Google, Bing and Brave.
  • Do the SEO fundamentals - they underpin every AI engine.
  • Restructure key pages to be answer-first and easy to extract.
  • Add and maintain schema where it's relevant.
  • Build authority and brand mentions, including on the community and review platforms these engines cite.
  • Track where you actually appear, per engine, and adjust - because the engines differ, so should your measurement.
Work with me

I help brands get visible across AI search - ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews - by getting the index foundations, structure and authority right, then measuring citations per engine. From audit through to implementation.