AI SEO: How to Optimize for AI Search Engines

Summarize in ChatGPT

Search has split in two. Google is still the largest search engine in the world. But millions of people now get their answers from ChatGPT, Perplexity, Gemini, and other AI-powered tools.

These AI search engines do not work like Google. They do not show a list of ten blue links. They read hundreds of web pages, synthesize the information, and give the user a single answer. Sometimes they cite their sources. Sometimes they do not.

If your website is not showing up in these AI-generated answers, you are invisible to a fast-growing audience. This guide explains what AI SEO is, how AI search actually works under the hood, and what you can do to make your content visible across both traditional and AI-powered search.

What Is AI SEO?

AI SEO is the practice of optimizing your website and content so it gets discovered, cited, and recommended by AI-powered search engines. These include ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude, Copilot, and other AI tools that generate answers from web content.

The goal is not just to rank on a results page. It is to become a source that AI systems trust, reference, and cite when generating responses to user questions.

What AI SEO is not

The term "AI SEO" gets used in two completely different ways. Some people use it to mean "using AI tools for SEO." That includes things like using ChatGPT for keyword research or AI writing tools for content creation.

That is not what this guide is about.

This guide is about the other meaning. Optimizing your content so AI-powered search engines can find it, understand it, and include it in their answers. Think of it as "SEO for AI" rather than "AI for SEO."

The different names for the same thing

The industry has not settled on a single name for this practice. You will see it called different things depending on who you are reading. All of these terms describe slightly different angles of the same core challenge. Making your content visible in AI-powered search.

AI SEO (AI Search Engine Optimization). The broadest umbrella term. It covers all strategies for getting your content discovered and cited by AI search platforms.
GEO (Generative Engine Optimization). Focuses on being cited in AI-generated summaries and answers. If AI Overviews or ChatGPT synthesizes a response from multiple web pages, GEO is about making your content one of those sources.
AEO (Answer Engine Optimization). Focuses on direct answer extraction. Think featured snippets, voice assistant responses, and the concise answers AI tools pull from your content.
LLMO (Large Language Model Optimization). Focuses on how large language models like ChatGPT understand and reference your brand, both through their training data and through live web search.

These terms are often used interchangeably because a dominant term has not emerged yet. AI SEO is the umbrella that brings them all together. For deeper tactical guidance on each approach, follow the links above to our dedicated guides.

Why AI Search Engine Optimization Matters

People are searching differently now

AI search adoption is not a future trend. It is already changing how people discover brands, research products, and make decisions.

ChatGPT handles over 37.5 million search-like prompts every day
Google shows AI Overviews on roughly 13% of all search queries, and that number is growing fast
27% of people in the United States now use AI tools instead of traditional search engines
AI search referrals to retail sites surged 1,300% during the 2024 holiday season

These are not niche users. They are your customers, your prospects, and your audience. If your content does not appear in AI-generated answers, you are missing an entirely new discovery channel.

Most search is already zero-click

Roughly 58.5% of Google searches now end without the user clicking any result. They get the answer directly on the search results page. AI Overviews are accelerating this trend.

This sounds like bad news, but it is actually an opportunity. The brands that AI cites still get massive visibility and trust, even when users do not click through. Think of AI mentions as a new form of brand exposure. Similar to a TV ad or a word-of-mouth recommendation, the value is in the impression, not the click.

SEO is not dead. It is more important than ever.

This is a critical point that gets lost in the hype. AI search engines rely on live web search to answer questions. ChatGPT searches Google results through a third-party provider. Google AI Overviews pull from Google's own index. Perplexity crawls the web in real time. Copilot and Meta AI search through Bing.

Traditional SEO is the foundation of AI SEO. If your content does not rank well or is not indexed, AI tools simply cannot find it. The relationship is additive, not competitive. Good SEO makes good AI search engine optimization possible.

How AI Search Engines Actually Work

To optimize for AI search, you need to understand how these systems find and use your content. The mechanics are fundamentally different from traditional search.

Google shows you a list of pages and lets you choose which one to visit. AI search reads those pages for you, extracts the useful information, and writes a single answer. Traditional search ranks pages. AI search cites sources.

How AI breaks your question into smaller searches

When you ask ChatGPT or Perplexity a question, the AI does not paste your full prompt into a search engine. Instead, it breaks your question into smaller sub-queries and searches for each one separately. This process is called "search grounding" or "fan-out querying."

Imagine someone asks ChatGPT "What is the best CRM for a 10-person sales team on a tight budget?" The AI does not search for that exact sentence. Instead, it might run three separate searches. "Best CRM small business 2026." "CRM features sales teams." "CRM pricing comparison."

It then reads the top results from each sub-query, combines the information, and generates a single answer. This has a huge implication for your AI SEO strategy. Your content does not need to match the exact question users type into ChatGPT. It needs to rank for the shorter sub-queries the AI extracts from that question.

Where each AI platform gets its information

Different AI platforms search the web through different channels. Knowing which channel feeds which platform helps you prioritize your optimization efforts.

ChatGPT currently scrapes Google search results through a third-party provider called SerpAPI. This is not an official partnership. Google is actively suing SerpAPI in court. ChatGPT previously used Bing and could switch providers again at any time. Ranking well in Google directly affects your ChatGPT visibility right now.
Google AI Overviews and AI Mode use Google's own search index. Your existing Google rankings are the foundation.
Perplexity uses a mix of search sources and its own web crawler. It is very transparent about sources and includes citations in every response.
Gemini uses Google Search and the Google Knowledge Graph. Strong Google SEO translates directly to Gemini visibility.
Copilot uses Bing's search index.
Meta AI (integrated into Facebook, Instagram, and WhatsApp) also uses Bing for web search.

One practical takeaway. Bing still powers Copilot and Meta AI. That is a large combined audience. And because ChatGPT has no official deal with Google, it could switch back to Bing or another provider at any time. Do not ignore Bing.

AI search results change every time

AI search is non-deterministic. Ask ChatGPT the same question five times and you will get five different answers. This is fundamentally different from Google, where rankings stay relatively stable from day to day.

This changes how you should think about visibility. There is no "position #1" in ChatGPT. Instead of thinking about rank, think about share of voice. How often does your brand appear across many different responses to many different prompts?

The higher your share of voice, the more impressions your brand gets in AI search. This is the single most important metric for AI SEO.

AI SEO vs Traditional SEO

AI search engine optimization and traditional SEO share the same DNA. Both reward high-quality content, strong authority, and solid technical fundamentals. But they measure success differently and require different ways of thinking about visibility.

What stays the same

Quality content still wins. Thin, surface-level content fails in both environments. AI systems want to cite sources that are genuinely helpful and comprehensive.
Authority and trust still matter. Backlinks, brand mentions, and E-E-A-T signals help you rank in Google and get cited by AI.
Technical health is still the baseline. Fast load times, mobile responsiveness, proper rendering, and crawlability are non-negotiable for both channels.
Internal linking and site structure still help. Topic clusters help search engines and AI systems understand the depth of your expertise.

What changes with AI search

Rankings become citations. Traditional SEO measures where you rank. AI SEO measures whether you get cited in AI-generated answers.
Keywords become concepts. Traditional SEO targets specific keyword phrases. AI systems understand meaning, not just word matches. Semantic clarity and topical depth matter more than keyword density.
Clicks become mentions. In traditional search, visibility means clicks to your site. In AI search, most visibility is zero-click. Your brand gets mentioned without users ever visiting your website.
One query becomes many. In Google, users type one query and see one results page. In AI search, the system breaks each question into multiple sub-queries and combines results from all of them.
Stable rankings become rolling frequency. Google rankings are relatively predictable. AI responses change with every query. Visibility is measured by how often you appear, not by a fixed position.
Google-only becomes multi-platform. Traditional SEO focused almost entirely on Google. AI SEO means thinking about ChatGPT, Perplexity, Gemini, Copilot, and more.

You do not have to choose

The best approach combines both. Google's own Gary Illyes has confirmed that standard SEO is sufficient for AI Overviews and AI Mode. The fundamentals carry across.

AI SEO builds on top of traditional SEO. It does not replace it. Think of it as an additional layer, not a different strategy.

How to Optimize for AI Search

AI search engine optimization is not a collection of hacks. It is the practical application of strong SEO fundamentals adapted for how AI systems find, evaluate, and use content. Here are the strategies that matter most.

1. Make sure AI bots can actually read your content

This is the single most important step, and the most commonly missed. If AI crawlers cannot read your content, nothing else on this page matters.

Check your robots.txt file. Many websites block AI crawlers without realizing it. Cloudflare recently changed its default settings to block AI bots automatically. If you use Cloudflare, your AI crawler access may have been shut off without you knowing.

Check your server and CDN configuration. Some hosting providers and content delivery networks block AI bots at the network level. Look for blocks against common AI crawlers like GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot, and Google-Extended.

Make sure your content is in the HTML. AI crawlers do not execute JavaScript. They read the raw HTML your server returns. If your content loads dynamically through JavaScript (common with single-page applications), AI bots see an empty page.

Think about your pricing page. You might have an interactive slider that lets users drag a handle to see different price points. AI bots cannot click or drag. Content hidden behind tabs, accordions, dropdowns, or sliders is invisible to them.

2. Target the sub-queries AI actually searches for

Remember how AI search works. It breaks complex questions into shorter sub-queries and searches for each one separately. Your content needs to rank for those sub-queries, not just for the original user prompt.

Start by identifying the broad questions your audience asks. Then break those questions down into the smaller, more specific fragments the AI would search for. Create or optimize content that directly answers each one.

Use clear, specific headings that match these sub-queries. A heading like "Pricing" tells AI very little. A heading like "CRM Software Pricing for Small Businesses" tells it exactly what follows.

3. Structure content so AI can extract it

AI systems do not quote entire articles. They extract specific passages, sentences, or facts. Content that is easy to extract gets cited more often.

Start each section with the key takeaway. Do not save the important point for the end of a paragraph.
Write short, self-contained paragraphs. Two to three sentences. Each paragraph should make sense if read on its own.
Use descriptive headings. A heading like "The Numbers" tells AI nothing. A heading like "ChatGPT User Growth Statistics" tells it exactly what follows.
Use lists and tables. Structured formats are easier for AI to parse than dense prose.
Include clear definitions for key terms. AI frequently quotes definitions. If you define a concept clearly and concisely, you increase your chances of being cited.

For a deep dive into content structuring techniques, see our guides on generative engine optimization and answer engine optimization.

4. Keep content fresh

AI systems have a strong recency bias. From our data at LLMrefs, we see that the moment content becomes over 3 months old, AI citations to that page drop significantly.

Treat your content as a living document, not a one-time publication. Review and refresh important pages at least once per quarter. Update statistics, replace outdated examples, and add recent developments. Make sure your "last updated" date reflects the most recent changes.

5. Build brand mentions across the web

Traditional SEO is heavily focused on backlinks. AI SEO adds a new dimension. Unlinked brand mentions.

The more your brand is mentioned across the web, the more AI systems associate your brand with your topic area. This happens through two channels.

First, LLMs learn from their training data, much of which comes from Common Crawl (a massive public dataset of the web). The more your brand appears in this dataset, the more the AI knows about you and the more likely it is to mention you.

Second, when AI performs live web searches, it reads the pages it finds. If your brand is mentioned in those pages, the AI is more likely to include you in its response.

The fastest way to boost your AI visibility is to find content that AI already cites for your target queries and get your brand mentioned in it. This could mean commenting in a Reddit thread that is already being regularly cited, or reaching out to the author of a blog post that appears in AI answers. We have seen brands go from completely invisible to getting their first AI mentions in under one hour using this approach.

For detailed brand-building strategies, see our LLM SEO guide.

6. Optimize for both Google and Bing

ChatGPT currently pulls search results from Google, but it has no official deal in place. It previously used Bing and could switch back. Copilot and Meta AI still use Bing's search index. Covering both search engines gives you the broadest AI search visibility.

Most SEOs already optimize for Google, but many ignore Bing entirely. Set up Bing Webmaster Tools if you have not already. Submit your sitemap and monitor your Bing rankings for your most important keywords. Pages that rank well in both Google and Bing are visible across the widest range of AI platforms.

7. Demonstrate expertise and build trust

AI systems prioritize content from sources they can trust. Factual accuracy, clear sourcing, and demonstrated expertise all influence whether your content gets cited.

Include author information with real credentials
Cite sources when making claims or sharing data
Share original research, proprietary data, or firsthand experience
Use precise, consistent terminology throughout

E-E-A-T signals (experience, expertise, authoritativeness, and trustworthiness) matter even more in AI search than in traditional search. AI systems are evaluating source credibility every time they decide which pages to cite.

8. Use structured data and schema markup

Schema markup gives AI systems explicit context about what your content covers. Nearly every page that gets cited in ChatGPT search results has some form of schema markup.

The most useful schema types for AI SEO are Article, FAQPage, HowTo, Organization, and Person schema. You do not need to implement these manually. Most CMS platforms and SEO plugins handle the technical implementation.

9. Create an llms.txt file

llms.txt is an emerging standard for helping AI systems understand your website. It is a simple markdown file placed at the root of your domain that describes your brand, products, and key content.

Think of it as a companion to robots.txt. While robots.txt tells crawlers what they can access, llms.txt tells AI systems what your site is about and how to interpret it. The specification is still evolving, but creating one is a low-effort step with potential upside as adoption grows.

Measuring AI Search Visibility

Traditional SEO metrics do not tell the full story for AI search. There is no single ranking position to track. Results change with every query. Most interactions are zero-click. You need new metrics and new approaches.

Share of voice

This is the most important metric for AI SEO. Share of voice measures how frequently your brand appears in AI responses across a broad range of prompts. Think of it like a mention rate. The higher the percentage, the more impressions your brand gets in AI search.

Competitive rank

Knowing your share of voice is useful. Knowing how it compares to competitors is essential. Track where you rank relative to competitors across your target topics. This helps surface new optimization opportunities and shows whether your efforts are working over time.

Source citations

Track which of your web pages are being cited by AI and how often. Check ChatGPT, Perplexity, and Gemini for citations to your content. Understanding which pages get cited helps you reverse-engineer what AI systems value most.

Referral traffic from AI platforms

While most AI search is zero-click, some visitors do click through. This traffic tends to be higher quality and more engaged than traditional organic traffic. Monitor referrals from chat.openai.com, perplexity.ai, gemini.google.com, claude.ai, and copilot.microsoft.com in your analytics.

AI crawler activity

Check your server logs for AI bot user agents like ChatGPT-User, GPTBot, PerplexityBot, ClaudeBot, and Google-Extended. If you use Cloudflare, check the "AI Crawl Metrics" page in your dashboard. Active AI crawling is a positive signal that your content is being read and potentially used in responses.

The AI Search Landscape in 2026

The AI search landscape is expanding rapidly. Here is where things stand today and which platforms matter most for your AI SEO strategy.

Google AI Overviews and AI Mode

Google is integrating AI directly into its core search experience. AI Overviews appear at the top of search results and synthesize information from multiple sources. AI Mode is a conversational interface within Google Search that lets users ask follow-up questions.

Because AI Overviews use Google's own index, your existing Google SEO work directly supports your visibility here. This is the easiest transition for teams already doing strong traditional SEO.

ChatGPT

ChatGPT is the most widely used AI chat tool, with roughly 70% market share among AI search platforms. It currently scrapes Google search results through a third-party provider called SerpAPI to ground its answers with live web data.

This arrangement is not a formal partnership. Google is suing SerpAPI in court, and ChatGPT previously used Bing for search grounding. The search provider could change again. Despite this uncertainty, ChatGPT's massive user base makes it one of the most important platforms for AI search optimization. Referral traffic from ChatGPT is growing fast and tends to convert well.

Perplexity

Perplexity is a search-first AI tool built around source citations. Every response includes links to the original web pages the information came from. This makes it the most transparent AI search platform and the easiest one to track your citations on.

Perplexity also has the highest conversion rates for SaaS and ecommerce among AI search platforms. Users who click through from Perplexity citations are highly engaged.

Gemini

Google's AI assistant is the fastest-growing AI platform. It is available as a standalone product and deeply integrated into Google Search. Optimizing for Google Search directly supports visibility in Gemini.

Other platforms to watch

Copilot. Microsoft's AI assistant, powered by Bing search. Available in Edge, Windows, and Office products.
Claude. Anthropic's AI assistant. Less search-dependent but increasingly used for deep research tasks. Apple is integrating Claude into Safari.
Meta AI. Integrated into Facebook, Instagram, and WhatsApp. Uses Bing for web search. Reaches billions of users through social platforms.

The landscape is expanding rapidly. New AI search tools are emerging regularly, and existing platforms are adding search capabilities.

Common AI SEO Mistakes

Blocking AI crawlers without realizing it. This is the single most common mistake. Many sites block AI bots through robots.txt, server configuration, or CDN settings without knowing it. If AI cannot read your content, nothing else matters. Check your settings today.
Hiding content behind JavaScript. AI crawlers do not render JavaScript. Content loaded dynamically, behind tabs, in accordions, or through interactive elements is invisible to AI bots. If the information matters, put it in the open HTML.
Letting content go stale. AI systems have a strong recency bias. Content that has not been updated in months gets cited less and less. Update important content at least once per quarter.
Ignoring Bing. Copilot and Meta AI use Bing's search index. ChatGPT previously used Bing and could return to it. If you are only optimizing for Google, you are leaving AI search channels on the table.
Confusing "AI for SEO" with "SEO for AI." Using ChatGPT to write your blog posts is not AI SEO. AI SEO is about making your content visible in AI-generated answers. These are completely different goals.
Treating AI SEO as separate from traditional SEO. AI search engine optimization builds on traditional SEO fundamentals. Abandoning one for the other does not work. The best results come from combining both.
Expecting immediate results. AI SEO is a long-term strategy. Building the authority and content depth that AI systems trust takes time. But the brands that start now will have a significant advantage as AI search adoption continues to grow.

Getting Started with AI SEO

You do not need to overhaul your entire strategy to start. Here are the steps that will have the biggest immediate impact.

Quick wins you can do today

Check if AI bots can access your site. Review your robots.txt for blocks against GPTBot, ChatGPT-User, PerplexityBot, and ClaudeBot. Check your Cloudflare or CDN settings for AI bot blocking.
Set up Bing Webmaster Tools. Create an account, verify your website, and submit your sitemap. Copilot and Meta AI use Bing, and ChatGPT could switch back to it at any time.
Test your current AI visibility. Ask ChatGPT, Perplexity, and Gemini questions about your topic area. Check if your brand or content appears. Note which competitors show up and which sources get cited.
Update your most important pages. Add clear "last updated" dates. Refresh outdated statistics and examples. Improve heading structure to be descriptive and specific. Add schema markup if missing.
Find content AI already cites for your topics. Look at the sources AI tools reference when answering questions in your space. Get your brand mentioned in those sources. This is the fastest path to AI search visibility.

Building a long-term AI SEO strategy

Build topical authority by creating clusters of related content around your core topics
Earn brand mentions through original research, community engagement, and industry contributions
Monitor and adapt as AI search platforms evolve and add new capabilities
Treat content as a living resource that gets refreshed regularly, not a one-time publication
Track share of voice and competitive rank over time to know if your efforts are working

For detailed tactical guidance, explore our dedicated guides on generative engine optimization (GEO), answer engine optimization (AEO), and LLM SEO (LLMO).

Key Takeaways

AI SEO is about optimizing for AI search engines like ChatGPT, Perplexity, and Google AI Overviews. It is not about using AI tools to do SEO.
Traditional SEO is the foundation. AI search engines use live web search to generate answers. If your content does not rank well, AI tools cannot find it.
AI search is non-deterministic. Visibility is measured by how often your brand appears across many responses, not by a single ranking position. Track share of voice, not rank.
The biggest quick win is making sure AI bots can read your content. Many sites are blocking AI crawlers without knowing it. Check your robots.txt and CDN settings.
Content freshness matters more in AI search. Content older than 3 months sees significantly fewer AI citations. Update important pages at least once per quarter.
Optimize for both Google and Bing. ChatGPT currently uses Google results, but has no official deal and could switch back to Bing. Copilot and Meta AI still rely on Bing. Cover both.
Brand mentions matter as much as backlinks. Even unlinked mentions help AI systems associate your brand with your topic area.
Getting into existing cited sources is the fastest path. Find content AI already cites for your target queries and get your brand mentioned in it.
Start now. Most brands are not yet optimizing for AI search. Early movers will build advantages that compound over time.