What Is AI SEO (AISEO)? Meaning, Examples and How to Start

Short answer: AI SEO (AISEO) has two meanings. The first is optimising your content so AI search tools such as ChatGPT, Perplexity, Microsoft Copilot and Google’s AI Overviews find, trust and cite it. The second is using AI tools to do SEO work faster, from keyword research to audits. A good programme does both, with people checking the output.

This guide is for business owners, marketing managers and in-house SEO teams who keep hearing “AI SEO” and want to know what it actually involves, how it differs from SEO, AEO and GEO, and what to do first.

The term gets used loosely, which causes confusion. One agency means “we’ll get you into ChatGPT answers”. Another means “we use AI to write your meta descriptions”. Both are real, they need different skills, and mixing them up leads to bad buying decisions.

Below you’ll find a plain definition of each meaning, a comparison table of SEO, AEO, GEO and AISEO, a practical plan, and an honest list of what AI can’t do for your SEO.

What does AI SEO (AISEO) mean?

AI SEO means either optimising for AI-powered search engines, or using artificial intelligence to carry out search engine optimisation. Most people searching the term mean the first. Most SEO software vendors mean the second.

The rest of this guide covers both, starting with optimising for AI search.

How do AI search engines choose which content to use?

AI search engines run one or more web searches behind the scenes, retrieve pages, and write an answer from the passages they find most relevant and reliable, usually with links to sources. To be used, your page has to be crawlable, indexed and the clearest answer to the specific query.

The vendors describe this openly. OpenAI’s help centre says ChatGPT rewrites a user’s question into targeted queries, sometimes sends them to third-party search providers, and ranks results using factors meant to surface relevant, reliable information. Google says AI Overviews and AI Mode may use a “query fan-out” technique, running multiple related searches across subtopics to build a response.

Two practical consequences follow:

• Access comes first. Each assistant uses its own crawler. ChatGPT search uses OAI-SearchBot, and OpenAI’s documentation says sites that block it won’t be shown in ChatGPT search answers. Perplexity uses PerplexityBot, and Anthropic uses Claude-SearchBot.
• Passages compete, not just pages. Because answers are assembled from several sources, a page wins by having a clear, self-contained section that answers the sub-question being asked.

For the ChatGPT-specific steps, see our guide on how to get cited by ChatGPT.

How is AI SEO different from SEO, AEO and GEO?

SEO aims to rank pages in search results. AEO aims to be the direct answer to a question. GEO aims to be cited inside AI-generated responses. “AI SEO” is mostly used as an umbrella for the last two, sometimes also covering the use of AI tools. They overlap heavily and share the same foundation.

Don’t treat these as separate programmes competing for budget. Google says there are no additional requirements or special optimisations needed to appear in AI Overviews or AI Mode. A page must simply be indexed and eligible to show with a snippet. Good SEO is the entry ticket to AI search, and AEO and GEO add the extra layer that makes you quotable.

For deeper comparisons, read SEO vs GEO and what Answer Engine Optimization is.

Is SEO still relevant if people get answers from AI?

Yes. AI search engines retrieve pages from web indexes, so a site that isn’t crawlable, indexed and relevant is unlikely to be cited. Technical SEO, helpful content and authority still matter. What changes is how you write and measure.

The four traditional pillars of SEO still apply. Each one just has a slightly different job in AI search:

What content patterns help you get cited by AI?

Content that answers a question directly, supports its claims with sources and numbers, and is organised into self-contained sections is easier for AI systems to quote. Stuffing keywords does not help.

The best-known research on this is “GEO: Generative Engine Optimization” by Aggarwal and colleagues (accepted at KDD 2024). In their tests, adding quotations, adding statistics and citing sources improved visibility in generative engine responses by a relative 30–40%. Keyword stuffing gave little to no improvement, and on Perplexity it did 10% worse than the baseline. The authors note that results vary by domain.

Microsoft’s advice to publishers points the same way. Bing’s February 2026 announcement of AI citation reporting recommends clear headings, tables and FAQ sections, claims backed by data and sources, deeper coverage of core topics, and regular updates.

In practice that means:

• A two-to-three-sentence direct answer at the top of the page and under each heading.
• Headings phrased as the questions your customers ask.
• Specific facts (numbers, dates, named standards, price ranges) with links to primary sources.
• Something original: your own process, data, examples or opinions based on experience.
• Tables for comparisons and numbered lists for steps.
• A visible “last updated” date, and facts that are actually kept current.

How can you use AI tools to do SEO?

AI tools are most useful for SEO tasks that involve large amounts of data or repetition: clustering keywords, drafting briefs and outlines, auditing thousands of URLs, suggesting internal links, generating first drafts of metadata and summarising reports. They save time on the routine work so your team can spend it on strategy and original content.

Manual SEO doesn’t scale well. SEO is several jobs at once (keyword research, content optimisation, technical fixes and link building), and none of them is ever finished. A site with a few thousand pages can’t have every title, heading and internal link reviewed by hand every quarter. That’s where AI and automation earn their keep.

Established SEO platforms such as Semrush, Ahrefs, Moz Pro, Serpstat and Screaming Frog cover much of the auditing, rank tracking and research work, and general AI assistants handle drafting and analysis. If you need workflows tailored to your business, such as automated content briefs or reporting pipelines, that’s a job for custom AI automation.

Does Google penalise AI-generated content?

Not for being AI-generated. Google rewards high-quality content however it is produced, but using AI to churn out pages mainly to manipulate rankings breaks its spam policies.

Google’s February 2023 guidance on AI-generated content says its systems aim to reward original, high-quality content that shows experience, expertise, authoritativeness and trustworthiness (E-E-A-T), focusing on “the quality of content, rather than how content is produced”. The same post says that using automation, including AI, to generate content “with the primary purpose of manipulating ranking” is spam.

Google’s current guidance on using generative AI content adds two practical rules:

• Generating many pages without adding value for users may violate the scaled content abuse policy.
• You should manually fact-check and review all AI-generated content before publishing, including titles, meta descriptions, structured data and alt text.

What can’t AI replace in SEO?

AI can’t replace first-hand experience, original data, strategic judgement, accountability for accuracy, or real relationships with customers and publishers. These are exactly the things that make content worth citing, so they matter more as AI search grows, not less.

• Experience and original information. An AI tool can summarise what is already published. It can’t tell readers what happened on your last 30 projects, what your prices are or what your customers actually ask. That’s what gives AI search engines a reason to cite you over everyone else.
• Strategy. Deciding which markets, services and questions to go after, and what to ignore, depends on your business model, margins and sales process.
• Fact-checking and accountability. AI drafts can contain confident errors. Someone has to check every claim and stand behind it, as Google’s own guidance requires.
• Brand voice and trust. Readers and AI systems both respond to consistent, credible expertise. Generic text erodes it.
• Relationships and digital PR. Mentions in industry publications, partnerships and genuine reviews come from people, not prompts.
• Interpreting results. A tool can show that citations fell. Working out why, and what to change, takes judgement.

How do you get started with AI SEO?

Start by making sure AI search crawlers can reach your site, then rewrite your most important pages to answer customer questions directly, and set up a simple way to track whether AI assistants mention you. Bring in AI tools to speed up the routine work once the basics are in place.

1. Check crawler access. Review robots.txt and your CDN or firewall settings for OAI-SearchBot, PerplexityBot, Claude-SearchBot, Googlebot and Bingbot.
2. Confirm indexing. Use Google Search Console and Bing Webmaster Tools to make sure your key pages are indexed. Consider IndexNow to notify Bing and other participating engines when pages change.
3. Build a question list. Collect 20–50 questions your buyers ask, from sales calls, support tickets and search data.
4. Test your current visibility. Ask those questions in ChatGPT, Perplexity, Copilot and Google, and record who gets cited.
5. Rewrite priority pages. Add direct answers, question headings, tables, sourced facts and FAQs, and include original information only you can give.
6. Strengthen your entity and mentions. Keep business details consistent across your site and profiles, and work on accurate mentions in the publications and comparison pages AI tools cite in your category.
7. Add AI tools to the workflow. Use them for audits, briefs, clustering and reporting, with a human review step before anything is published.
8. Measure monthly. Track rankings and traffic as before, plus citation rate across your question list. Bing Webmaster Tools’ AI Performance report shows citations in Copilot and Bing’s AI summaries. digiPanda’s Upranke tracks whether you show up in AI answers.

For a full working list, use our GEO checklist for AI search optimisation.

Frequently asked questions

Is AI SEO the same as GEO?

Mostly, when people mean optimising for AI search. Generative Engine Optimization (GEO) is the more precise term for getting your content cited in AI-generated answers from tools like ChatGPT, Perplexity and Google AI Overviews. “AI SEO” is a broader, looser label. It often includes GEO and AEO, and sometimes also means using AI tools to do SEO work. When hiring help, ask which meaning a provider has in mind.

Can ChatGPT do SEO for me?

ChatGPT can help with parts of SEO: brainstorming topics, grouping keywords, drafting outlines, rewriting text and explaining technical issues. It can’t see your analytics, set your strategy or take responsibility for accuracy. Google’s guidance says AI-generated content should be fact-checked and reviewed before publishing. Treat ChatGPT as a fast assistant for an experienced person, not a replacement for one.

Do I need special markup or an llms.txt file for AI search?

Not for Google. Google states that you don’t need new machine-readable files, AI text files or special schema.org markup to appear in AI Overviews or AI Mode. Being indexed and eligible for a snippet is enough. Structured data is still useful for describing your business clearly, but crawler access and well-written, sourced answers matter more.

Will AI search reduce my website traffic?

It can reduce clicks on simple informational questions, because people get the answer without visiting a site. But AI answers also link to sources, and Google says clicks from results pages with AI Overviews tend to be higher quality, with users more likely to spend time on the site. The safest response is to become a cited source and to measure conversions, not just visits.

How long does AI SEO take to show results?

Technical fixes, such as unblocking a crawler, can take effect within days. OpenAI, for example, says robots.txt changes take about 24 hours to apply to its systems. Content and authority work takes longer, because pages need to be recrawled, indexed and judged relevant. Track a fixed set of questions every month so you can see trends rather than relying on one-off checks.

AI SEO isn’t a replacement for SEO. It builds on it: get the foundations right, write pages that are genuinely the best answer, and use AI to work faster without handing it your judgement. If you’d like a team to run classic SEO and AI-search optimisation together, see our SEO services.