Engines

AI Search Optimization by Engine

Every AI engine retrieves, cites and recommends differently. ChatGPT, Google AI Overviews, Perplexity, Gemini and Copilot draw on different indexes, crawlers and ranking signals, so being visible in one says almost nothing about the others. Each engine has to be measured and optimised on its own terms.
Five-engine visibility Live model
ChatGPT
AI Overviews
Gemini
Perplexity
Copilot
Your
brand
Citation coverage62%
Recommendation share34%
Competitor movement48%
One brand can produce five different visibility outcomes because each engine retrieves and cites differently.

How the five engines differ

Comparison of how each AI engine retrieves, cites and rewards content
EngineHow it retrievesCites inline?CrawlerWhat moves visibilityTime to first citation
Copilot SEOThe Bing search index, retrieved live for each answerYes — linked sources listed under each answerBingbotBing indexing (IndexNow helps), structured data, and third-party citationsDays to weeks after Bing indexes the page
LLM SEO / ChatGPT SEOOwn web index plus live web search (partly Bing-backed) in ChatGPT SearchYes — linked source chips and citations in search-enabled answersGPTBot and OAI-SearchBotBeing indexed by Bing, crawlable pages, and brand mentions across the wider webTypically weeks to a few months after indexing
AI Overviews OptimizationGoogle's main search index, grounded on pages that already rank organicallyYes — inline link cards to supporting pagesGooglebotTraditional rankings, clear structure, and topical authorityDays to weeks once the page ranks in organic results
Perplexity SEOReal-time web search over its own index plus partner indexes on every queryYes — numbered inline citations attached to individual claimsPerplexityBotCrawlability, direct question-and-answer formatting, and recencyOften days — retrieval is close to real time
Gemini SEOGoogle Search grounding for fresh queries, plus its training dataYes — links to sources when an answer is grounded in SearchGooglebot (Google-Extended controls training use)The same signals as Google, plus clear entity and Knowledge Graph dataDays to weeks, tracking Google's index

Retrieval and crawler behaviour comes from each vendor's published documentation. Time to first citation is the typical range we observe in client audits — it depends on how quickly the underlying index picks up your content, and no vendor guarantees a timeline.

Which engine to prioritise first

Ranking is no longer enough

You need to be cited, mentioned, and recommended.

Being cited, mentioned, and recommended are three different outcomes, and most brands only ever achieve the first one. Ranking is no longer enough because AI engines answer buyers directly and name only a short list of vendors as the recommendation — everyone else is cited in passing, if at all. Get a free AI Visibility Report to see exactly where your brand appears today across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Copilot, where competitors are winning the recommendation instead, and what's keeping you from moving up the shortlist.