AI Overviews: how to get cited by Google, Perplexity and ChatGPT

TL;DR — AI Overviews (Google's AI Overviews, Perplexity answers, ChatGPT web browsing) are progressively replacing the classic list of 10 blue links with AI-generated answers. For a brand, the challenge is no longer just ranking on page one — it's becoming the cited source in those answers. Here's how to get there through agentic optimization (GEO + AEO).

1. What is an AI Overview?

An AI Overview is an AI-generated answer block that synthesizes multiple web pages to respond to a query. It typically appears at the top of search results, before traditional links.

You find it in three main forms:

• Google AI Overviews — synthesizes multiple sources into a structured answer with clickable links. Available in Google Search since 2024.
• Perplexity — a conversational search engine that displays a full answer + clickable cited sources.
• ChatGPT (with web browsing enabled) — answers questions in real time based on indexed pages, with source citations.

In practice, the user sees:

• A written answer (definition, steps, recommendations)
• A list of cited sources, usually as clickable links
• Sometimes related questions or suggested follow-up queries

Why this is critical for your visibility

AI Overviews capture a portion of the clicks that used to go to classic organic results — mechanically reducing traffic for sites that are not cited. Conversely, being mentioned in these blocks becomes a high-quality acquisition lever, particularly for informational queries and "best X for Y" comparisons.

2. How AIs select their sources

Before optimizing, you need to understand what Google, Perplexity and ChatGPT look at when choosing their sources.

The 4 main signals

Research on GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) converges on four signal families:

• Authority and credibility (E-E-A-T): demonstrated expertise, concrete case studies, third-party mentions, consistent professional profiles across the web.
• AI-readable structure: clear H1/H2/H3 hierarchy, bullet lists, tables, FAQs, Schema.org structured data in JSON-LD to facilitate automatic extraction.
• Question relevance: pages built around real user questions ("how to…", "best X for Y…", "alternatives to…") rather than isolated keywords.
• Brand consistency: same name, same offer, same arguments across the entire web — site, tool listings, reviews, guest articles.

What Google, Perplexity and ChatGPT each do

• Google AI Overviews starts from its classic SEO index and favors technically solid pages with a strong E-E-A-T score. It assembles an answer from multiple complementary sources.
• Perplexity highlights pages that answer a specific question in a detailed, recent, and structured way. Content freshness is a strong signal.
• ChatGPT relies more on authority content: specialized guides, comparisons, reviews, community content (Reddit, industry forums).

Conclusion: solid on-page SEO is no longer enough. You need to think GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) to maintain visibility in an environment where AIs answer on behalf of classic search engines.

3. Two concrete strategies to appear in AI Overviews

Strategy 1: get into already-cited lists

AIs frequently rely on existing lists of the "best X for Y", "top tools for…", "alternatives to…" type. A fast way to appear in AI Overviews is therefore to be present in those lists.

Concretely:

1. Identify the comparison articles already cited by ChatGPT, Perplexity and Google AI Overviews in your topic area. 2. Contact the editors to be added to those pages (guest post, partnership, product review, editorial sponsorship). 3. Make sure the listing that mentions you is up to date, accurate and detailed enough for the AI to "understand" you.

This approach is particularly effective short-term for SaaS products, tools or comparable services.

Strategy 2: become the reference source yourself

The other strategy is to create on your own site the content that AIs will want to cite.

This means publishing:

• Comprehensive lists ("the best solutions for…") regularly updated — freshness is a strong signal for generative engines.
• Detailed educational guides: definition, why it matters, how to do it, mistakes to avoid, FAQ.
• Honest comparisons where you position yourself among other solutions, with clear selection criteria.

The advantage: you control the content, you build genuine editorial authority in your niche, and you're not dependent on third-party publishers.

4. Structuring content for AIs: AEO best practices

For your content to be easily extracted by generative engines, it must follow a few structural rules.

Writing and HTML

• A single, very explicit H1 centered on the main question.
• Clear H2s corresponding to the big questions ("Definition", "How to appear", "Agentic optimization"…).
• H3s oriented toward concrete problems or action steps under each H2.
• Bullet and numbered lists for steps, checklists and criteria.
• Start each section with a short 2-3 sentence answer, then expand with examples.

Structured data

• JSON-LD `Article` + `FAQPage` markup on key pages.
• A FAQ block at the bottom of the article with 3 to 5 questions directly optimized for AI Overviews.
• Schema.org `HowTo` for procedural content (steps, tutorials).

5. Agentic optimization: maintaining your presence over time

Being cited in AI Overviews is not a permanent achievement — it requires continuous optimization and updates. This is where agentic optimization comes in.

• GEO (Generative Engine Optimization) optimizes content to be cited by generative engines: ChatGPT, Perplexity, Google AI Overviews.
• AEO / Agentic Web goes further: structuring content and data so it is readable and actionable by autonomous agents (structured data, exposed APIs, WebMCP protocol).

Agents connected to your CMS can regularly audit your pages, monitor trending questions in your sector, analyze your visibility on Perplexity and Google, then propose or automatically apply content and markup updates.

> "The future of SEO isn't just publishing articles — it's running a system of agents that continuously maintain your position in AI Overviews."

This is the approach Busony deploys as part of its SEO & GEO service, the GEO Audit and agentic optimization.

FAQ

What is an AI Overview? An AI Overview is an answer generated by an AI (Google, Perplexity, ChatGPT) that synthesizes multiple web sources to respond to a query, displayed at the top of results before traditional links.

What is the difference between SEO, GEO and AEO? SEO optimizes for classic search engines. GEO (Generative Engine Optimization) optimizes to be cited by generative AIs. AEO (Answer Engine Optimization) structures content to directly answer user and AI agent questions.

How do I know if my site is cited in AI Overviews? You can manually test your target queries on Google (with AI Overviews enabled), Perplexity and ChatGPT. For structured, ongoing monitoring, the Busony GEO Audit automatically tracks your visibility in AI responses.

How long does it take to appear in AI Overviews after optimization? First results appear within a few weeks on Perplexity (fast index). For Google AI Overviews, which relies on the classic SEO index, expect 2 to 4 months after optimization.

Does the WebMCP protocol help get cited by AIs? Yes. By exposing your site via WebMCP, you allow Google and Gemini AI agents to directly query your structured data, which strengthens your presence in agentic responses.

Sources: Google — About AI Overviews · Francenum.gouv.fr — Optimization for AI engines · Journal du Net — How to appear in ChatGPT and Perplexity · SE Ranking — Complete AI Overviews guide