How to Optimise Content for AI Search (ChatGPT, Perplexity, Gemini)

Why AI search is different from Google

When someone searches on Google, they see a list of links and choose which to click. When someone asks ChatGPT or Perplexity a question, they get a direct answer — with a small number of sources cited inline. If your content isn't one of those sources, you get zero traffic from that query, regardless of your Google ranking.

This is the core shift happening right now. Search is fragmenting. A growing share of research queries never reach Google at all — they go straight to AI assistants. And those assistants have very specific requirements for what they cite.

How AI models decide what to cite

Large language models and retrieval-augmented systems like Perplexity don't rank pages the way Google does. They evaluate content for a different set of signals:

• Answerability — Does your content directly answer a specific question? Pages that hedge or bury the answer rank poorly.
• Entity coverage — Does your content mention the key entities (people, places, concepts, organisations) that a knowledgeable answer would include?
• Factual density — AI models prefer content with specific numbers, dates, named examples, and attributable claims over vague generalisations.
• Structured information — Headers, lists, tables, and FAQ sections make content easier to extract and cite.
• Source authority — Does your content cite credible external sources? AI models are more likely to cite sources that themselves cite sources.

The 6 things to change in your content right now

1. Lead with the direct answer

AI retrievers look for the most direct response to a query. If your article spends three paragraphs on background before answering, the model may not extract it correctly. Put the direct answer in the first paragraph — then expand with context and nuance below.

2. Use specific numbers and named examples

Compare these two sentences:

• "Page speed is important for user experience."
• "Pages that load in under 2 seconds convert 15% better than pages that take 4 seconds (Google/Deloitte, 2023)."

The second sentence is far more likely to be cited in an AI answer because it contains a specific, attributable claim. Go through your content and replace vague claims with specific ones wherever possible.

3. Add FAQ sections

FAQ sections map directly to how AI assistants receive queries — as questions. A well-structured FAQ with direct, specific answers to common questions in your niche is one of the highest-yield changes you can make for AI citation potential.

4. Cover all the expected entities

Every topic has a set of entities — people, concepts, tools, standards — that an authoritative answer would naturally include. If your content on "content marketing" doesn't mention HubSpot, Google Search Console, or content calendars, an AI model may judge it as incomplete. Run a content gap analysis to find which entities you're missing.

5. Add external citations

AI models are trained to value sources that themselves cite sources. Add links to relevant studies, official documentation, and credible publications in your field. This signals epistemic credibility — that your content is grounded in verifiable information, not opinion.

6. Structure with descriptive headers

Headers that describe exactly what the section covers ("How to calculate content ROI" rather than "Measuring success") help AI extractors identify and retrieve the right chunk of content for a specific query. Write your headers as if they're answers to questions someone might ask.

How to measure your AI citation potential

The challenge with AI search optimisation is that it's hard to measure directly. You can't check your "Perplexity ranking" the way you check your Google position. What you can measure is:

• Citation likelihood score — A structured evaluation of whether your content meets the criteria AI models use to cite sources.
• Entity coverage — Which expected entities appear in your content and which are missing.
• Answerability — Whether your content directly answers the queries you're targeting.

Optmizly's AI Visibility and Citation Tracker tools score your content against these exact criteria and show you which specific changes will increase your citation likelihood for each target query.

The bottom line

AI search isn't replacing SEO — it's adding a new layer on top of it. The content that performs best in AI answers tends to also perform well in Google: it's specific, well-structured, authoritative, and genuinely useful. But the emphasis is different. AI search rewards directness, factual density, and entity completeness in ways that traditional SEO doesn't fully capture.

Start with your most important pages. Run them through an AI citation analysis, find the gaps, and fix the top three issues. The sites that get ahead of this now will be the ones AI models cite by default a year from now.