What Is AI SEO? How to Use It to Win Search Results
Search for "AI SEO" and you’ll land in two separate conversations. Some articles are about AI writing and research tools. Others are about getting cited by ChatGPT.
Both are real, and they work best together. We’ll cover each meaning, how AI SEO differs from traditional SEO and how to find out which brands dominate AI search results in your category.
Key takeaways
- AI SEO means two things: using AI to do SEO work, and optimizing your site for AI-powered search results.
- Google allows AI-assisted content, but asks you to fact-check it and warns against mass-producing low-value pages.
- AI answers in Google are grounded in its search index, so classic SEO is still the foundation of AI SEO.
- In AI search you report mentions and citations per platform, plus your share of voice against competitors.
- In a Pew Research Center study, users clicked a result in 8% of visits with an AI summary, versus 15% without one.
What is AI SEO?
AI SEO is a loose term. It covers doing SEO with AI tools, and it covers optimizing for AI search engines.
Meaning 1: Using AI to do SEO work
Here, AI is the tool. SEO teams use language models and the AI features in their software to research and write faster. Typical uses: clustering keywords, drafting briefs and outlines, suggesting title variants and internal links. Some teams also have AI draft schema. It’s faster. It also makes it easy to publish generic or wrong content at scale, and that undercuts the second meaning of AI SEO.
Meaning 2: Optimizing for AI search
Now flip it: the AI is the search engine. You optimize so that Google AI Overviews, Google AI Mode, ChatGPT, Gemini, Microsoft Copilot and Claude mention and cite your brand. This side of AI SEO is also called generative engine optimization (GEO), answer engine optimization (AEO) or LLM SEO. Success shows up as mentions and AI citations, and rankings are only part of the picture. For the technical details of this meaning, see our guide to LLM SEO best practices.
Why the two meanings belong together
AI tools make content cheaper to produce. AI search engines, in turn, look for content that adds something new.
Google’s guide to generative AI features is direct about this. It says not to recycle content that "could easily be produced by a generative AI model."
So the strongest AI SEO programs use AI for speed and people for originality.
AI SEO vs traditional SEO: what is the difference?
Traditional SEO aims to rank a page in a list of links. AI SEO also aims to be named and cited inside a generated answer.
| What changes | How it changes |
|---|---|
| Goal | The goal moves from a top ranking to a place in the AI answer, as a mention or a cited source. |
| Queries | Queries grow from short keywords into long conversational prompts that trigger several hidden searches. |
| Metrics | Alongside rankings and clicks, you now report mention rate, citation rate and AI share of voice. |
| Competitors | Your competitors are the brands named for the same prompt, which may not be the sites ranking for the keyword. |
| Sources | Sources widen from your own pages to the reviews, forums, videos and media that AI also cites. |
| Platforms | Google stops being the only platform. Google AI features, ChatGPT, Gemini, Copilot and Claude each get measured separately. |
Much stays the same. Google says its AI features are rooted in its core Search ranking and quality systems, and that optimizing for them is still SEO.
Crawlability, indexing, helpful content and authority remain the entry ticket. AI SEO adds new measurement and a wider set of sources on top.
How to use AI for SEO work
Tasks AI handles well
- Grouping thousands of keywords or prompts by intent and topic.
- Drafting content briefs, outlines and follow-up questions for a topic.
- Writing first drafts of titles, meta descriptions and image alt text.
- Drafting structured data and checking it against the visible page.
- Summarizing Search Console exports, crawl reports and log files.
- Suggesting internal links between related pages.
Tasks to keep human
- Checking every fact, number, date and product claim before publishing.
- Adding first-hand experience, original data and expert opinion.
- Deciding which topics and prompts are worth the effort.
- Approving brand claims, comparisons and anything legal or medical.
What Google says about AI-generated content
Google’s guidance on using generative AI content says AI can help with research and with adding structure to original content.
It also asks you to "manually factcheck and review all AI-generated content," including titles, descriptions and structured data.
Generating many low-value pages with AI can break Google’s scaled content abuse policy. Use AI to improve good pages. Multiplying thin ones is exactly what that policy targets.
How to optimize for AI search
The second meaning of AI SEO matters because AI answers change how people click.
In a Pew Research Center study, users clicked a result in 8% of visits with an AI summary.
Without a summary, they clicked in 15% of visits. That shift toward zero-click search makes being named in the answer worth more.
Six actions cover most of the work.
Track prompts per platform. List 25 to 100 buyer questions and check who is named and cited.
Let crawlers in. Allow Googlebot, Bingbot, OAI-SearchBot and Claude-SearchBot, and get indexed in Google and Bing.
Start each section with a direct answer that makes sense on its own.
Back every claim with a dated number, a quote or a named source.
Describe your company and products the same way everywhere.
Earn real mentions on the reviews, forums, videos and media that AI cites for your topic.
For the full process, follow our guide on how to optimize for AI search engines step by step.
How to see which brands dominate AI search results
Before you can dominate AI search results, find out who dominates them today. It takes five steps.
Pick 20 to 50 prompts that define your category, from "what is" to "best tools for."
Run each prompt on ChatGPT, Google AI Overviews, Google AI Mode, Gemini and Copilot.
Count how often each brand is mentioned and how often its URLs are cited.
Divide each brand’s mentions by all brand mentions to get its share of voice.
Repeat monthly, because AI answers and cited sources change over time.
Worked example: who dominates AI search answers about AI search
Ansvisor, an open-source AI search intelligence platform, tracks prompts about AI search, AEO, GEO and AI visibility.
In Ansvisor tracking data from September 15 to October 14, 2026, we looked at 103,427 AI answers and 746,702 citations.
The brands named most often, such as Semrush, Profound and Ahrefs, were also the ones that showed up for the most prompts.
Coverage explains much of the spread. Semrush appeared for about 95% of the tracked prompts.
In any category, the leaders show up on almost every prompt. That breadth comes from many pages and many outside mentions.
Competitor tracking and benchmarking runs this analysis for your own category and keeps the history.
How to use AI SEO: a one-week workflow
This plan combines AI for speed with human work for originality. Repeat it every few weeks.
- Day 1 is the baseline. Run your prompt set on each platform, export your Search Console queries and have AI cluster both lists by topic.
- On day 2, pick three pages tied to your highest-value prompts. Let AI draft briefs with the likely follow-up questions.
- Day 3 is for evidence. Add your own data, screenshots and expert input to each brief, since AI can’t do this part for you.
- On day 4, rewrite the pages answer-first. Use AI to suggest titles, schema and internal links, then check every suggestion.
- Day 5 goes off-site. Answer three real questions in communities your buyers use, with genuine expertise and no spam.
- Two to four weeks later, rerun the same prompts and compare mentions, citations and share of voice with day 1.
To decide which prompts and pages deserve this effort first, read our guide to building an AI search strategy.
Which AI SEO tools do you need?
Most teams combine three kinds of tools.
- AI assistants for research and first drafts.
- Classic SEO suites for keywords, backlinks, rankings and technical crawls.
- AI visibility trackers for mentions and citations in AI answers, and for share of voice.
Compare options in our list of the best AI SEO tools and platforms.
How Ansvisor helps with AI SEO
Ansvisor tracks your prompts across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Copilot and Perplexity. Answer Engine Insights shows your visibility on each platform, with the mentions and citations behind it.
It also shows which competitors and sources win the prompts you care about. Use the cloud version or self-host the open-source project on GitHub.
Start a 14-day free trial and see who dominates AI answers in your category this week.
FAQ
What is AI SEO?
AI SEO has two meanings. It can mean using AI tools to speed up SEO tasks such as keyword research or audits. It also means optimizing your site so AI search engines like ChatGPT and Google AI Overviews mention and cite your brand.
What is the difference between AI SEO and traditional SEO?
Traditional SEO aims for rankings and clicks in a list of links. AI SEO also aims for mentions and citations inside AI answers, and tracks them per platform. Both need pages that search engines can crawl and index, and that are worth citing.
Is AI-generated content bad for SEO?
Not by itself. Google says AI can help with research and structure, but you should fact-check everything before publishing. Mass-producing low-value pages with AI can violate Google’s scaled content abuse policy.
How do I see which competitor brands dominate AI search results?
Run the same 20 to 50 category prompts on each AI platform. Count how often each brand is mentioned and cited, then calculate each brand’s share of voice. Repeat monthly, because AI answers change over time.
Does AI SEO replace traditional SEO?
No. Google’s AI features are grounded in its search index, so crawling and indexing still come first and quality still decides whether you get cited. AI SEO adds prompt tracking, citation analysis and off-site authority on top.
Cihan Geyik
Co-founder at Ansvisor
Cihan Geyik is the co-founder of Ansvisor, an open-source, cloud-ready AI Visibility platform for AI Search. With more than 15 years of experience in digital marketing and growth, he writes about AI visibility, AI search, AEO, GEO, citations, and answer engines. He focuses on helping brands understand and improve their presence across ChatGPT, Gemini, Perplexity, Google AI Overviews, and other AI-powered discovery platforms.
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