How to optimize your site for ChatGPT, Perplexity, and Gemini.
Each AI engine forms its answers differently: ChatGPT relies on its own knowledge plus Bing, Perplexity favors freshness and sources, Gemini relies on Google's index. There's a shared foundation, but there are nuances too. Below is what each engine rewards and which tactics work to get you named in the answers.
What works for all engines at once
Before fine-tuning for each engine, build the shared foundation everyone needs: llms.txt at the root, allowing AI crawlers in robots.txt (GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google-Extended), schema markup and FAQs, speed and accessibility, and most importantly, content formatted as answers to real niche questions and external citations. This covers 80% of the work. Read more in our guide on what GEO is.
Optimizing for ChatGPT
ChatGPT forms answers from the model's own knowledge and web search (via OAI-SearchBot and its partnership with Bing). It's cautious and favors confirmation from multiple independent sources — so one site alone isn't enough; you need mentions and reviews from elsewhere too.
Tactics: allow GPTBot and OAI-SearchBot; keep your llms.txt up to date; create content that directly answers questions; build up independent mentions (directories, industry articles, reviews on Clutch/GoodFirms). In our case study, ChatGPT in a clean session already cites InSync's positioning — but adds a remark that there are "few independent sources," and that's exactly what external citations fix.
Optimizing for Perplexity
Perplexity is a search assistant that almost always shows sources and actively cites fresh, well-structured pages. It's closer to classic search, so citations here convert into real traffic faster (links are clickable).
Tactics: allow PerplexityBot; keep content fresh (update dates, add new material); structure it into lists, tables, and clear answers; ensure fast loading. Perplexity reads answer-formatted pages well when they follow "question → concise answer → details."
Optimizing for Google Gemini
Gemini and Google AI Overviews rely heavily on Google's index and rankings. That means classic SEO has a direct impact on AI visibility here: if a page ranks at the top of Google for a query, its chances of appearing in an AI Overview are much higher.
Tactics: allow Google-Extended in robots.txt; strengthen your basic SEO (headings matched to queries, backlinks, speed); add schema and FAQ markup, which Google pulls AI Overviews from. Here GEO and SEO work hand in hand — more in our guide GEO or SEO.
How do you know what's working for each engine?
Don't guess — measure. Take 20 benchmark queries from your niche and check each across 4 engines (ChatGPT, Perplexity, Gemini, Copilot): did they name you or a competitor. This shows you where you're already winning and where you're not, so you can fine-tune the tactic for whichever engine is lagging. Plus two objective signals: traffic from AI domains in GA4 and visits from specific crawlers in your logs. That's exactly what our AI Attribution report looks like.
Frequently asked questions about AI optimization
How do you optimize a site for ChatGPT?
ChatGPT forms answers from the model's own knowledge and web search (via OAI-SearchBot and Bing). To get featured in answers: add an llms.txt, allow GPTBot and OAI-SearchBot in robots.txt, format your content as clear answers to niche questions, and build up independent mentions (reviews, directories, articles).
How is optimizing for Perplexity different from ChatGPT?
Perplexity almost always shows sources and actively cites fresh web pages. For Perplexity, it's critical that PerplexityBot is allowed in, content is up to date and well structured (lists, clear answers), and pages load fast. Perplexity gives direct links more often, so citations convert into traffic faster.
How do you get featured in Google Gemini and AI Overviews?
Gemini and AI Overviews rely heavily on Google's index and rankings. Basic SEO has a direct impact on AI visibility here: if a page is on the first page of Google, its chances of appearing in an AI Overview are much higher. Add schema, FAQs, and allow Google-Extended in robots.txt.
Can you optimize a site for all AI engines at once?
Yes, most of the work is shared: llms.txt, allowing all AI crawlers, schema, speed, answer-formatted content, and external citations work for all engines at once. Beyond that, there are nuances for each one (Gemini depends on Google, Perplexity favors freshness), which get fine-tuned based on data from a monthly 20×4 measurement.
Check which engines already see your site
Our free audit will show your AI visibility score /100 and what's stopping AI models from citing you. Then we'll tailor a tactic for each engine.
See the live GEO case study