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What is AI SEO? A plain-English guide for marketing teams

AI SEO is the work of getting your brand named inside ChatGPT, Gemini, Perplexity, and AI Overviews answers. What it involves, how it differs from classic SEO, and how to measure it.

Ask ChatGPT for the best CRM for a ten-person sales team and you won't get ten blue links. You'll get a paragraph and four or five brand names, maybe with a short reason next to each. If your brand isn't one of them, that buyer may never reach your site at all.

AI SEO is the work of changing that. Some people call it generative engine optimization (GEO), others answer engine optimization (AEO). The labels differ but the goal is the same: get your brand named and cited when AI assistants answer questions in your category.

How it differs from classic SEO

Classic SEO competes for positions on a results page. You pick keywords, build pages that match the intent, earn links, and track where you rank. The reward is a click.

AI SEO competes for a spot inside a generated answer, and that changes a few things.

The unit is a prompt, not a keyword. People type full questions into AI assistants, often with context like budget, team size, or location. "Accounting software" becomes "what accounting software works for a freelancer who invoices in euros and dollars?" Those prompts need their own research.

The answer pulls from sources you don't own. Engines with live search read review sites, comparison articles, Reddit threads, and YouTube videos before they answer. Your own site is one input among many, and sometimes not the most important one.

There's no fixed position. Run the same prompt twice and the brand list can shift. Run it on Gemini instead of ChatGPT and it can change completely. Visibility is a rate across many runs, not a single rank.

The crawlers are different. OpenAI, Anthropic, and Perplexity each run their own bots. A site that Googlebot crawls perfectly can still be blocked, slow, or empty for them.

What the work involves

Most AI SEO programs come down to four jobs.

The first is prompt research. Find the questions buyers ask at each stage and check which brands the engines name today. That becomes your baseline.

The second is source analysis. For every prompt where you're missing, look at which pages the engine cited. Those citations tell you whether the fix is on your site (a page that answers the question directly) or off it (a review site or listicle that leaves you out).

The third is fixing access and content. Make sure AI crawlers can fetch your important pages, that the content is in the HTML rather than loaded by JavaScript, and that the pages state facts a model can quote: who the product is for and how it compares.

The fourth is measurement. Track whether your mention rate changes, whether citations to your pages increase, and whether AI-referred visitors arrive and convert.

Does classic SEO still matter?

Yes. Engines with live search lean on search indexes to find candidate pages, so a page that never ranks anywhere has a harder time getting cited. Good technical foundations and authority help on both sides. What's changed is that strong rankings no longer guarantee a mention. A brand can sit on page one for a term and still be left out of the AI answer to the matching question.

How to measure it

This is where a lot of teams stall. Checking prompts by hand in a chat window tells you very little. Results vary by run, by engine, and by location, and you can't see why an answer came out the way it did.

We run every client program on Promptwatch because it covers the whole chain in one place. Prompt tracking runs your question set across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and other engines, and records which brands appear. Citation analytics shows the exact pages and domains each answer leaned on. Agent Analytics reads your AI crawler logs, so you can see whether those bots fetched the page you want cited. Visitor analytics then ties AI-referred sessions to conversions.

That last step matters more than it looks. A rising mention rate is encouraging. Seeing that the visitors it sends actually sign up is what keeps a budget alive.

Where to start

Pick 20 to 30 prompts your buyers would really ask, run them across the main engines, and write down who gets named. That short exercise tends to make the case for AI SEO better than any slide deck. When you're ready to track it properly, set the same prompts up in a platform that shows citations and crawler activity, not only mentions, and make your first fixes where the gap is widest.