What is AI search optimization? How we explain it to clients, and how we run it
AI search optimization is the work of getting named, cited and described correctly in AI answers. Here is how an agency measures it and where the effort goes.
When a client asks "what is AI search optimization", we skip the acronyms. It is the work of making sure that when a buyer asks an AI assistant a question in your category, your brand is in the answer, described accurately, and linked to a page that earns the click. You may hear GEO or AEO used for the same thing. We use them loosely, and so do most people.
It sits next to SEO, not instead of it. The crawling, content quality and authority that help in classic search also help here. The difference is that an AI answer cites a few sources and writes one response, so the question stops being "where do we rank" and becomes "are we one of the sources".
The four questions we ask in every engagement
Are we visible? We build a set of buyer prompts and track them daily across engines. The mix matters: category questions, comparison questions, brand questions, and a few from the sales team's real call notes.
Why or why not? This is where most programs stall. A mention count says nothing about cause. We look at citation analytics to see which pages and domains the assistants rely on, and at AI crawler logs to see whether the bots can reach the client's pages at all.
What do we change? Content gaps, structural problems, missing third-party mentions, pages that are fetched but never cited.
Did it matter? We want AI-referred visits and conversions, not just mentions.
Why we run client programs on Promptwatch
We use Promptwatch for client work because those four questions live in one workspace. Here is how each maps to a feature.
- Visible? Visibility Score, Share of Voice, Sentiment and Position in Answer, with prompt panels run daily per model, country and language. It monitors the live interfaces of ChatGPT (Search), Google AI Overviews, Google AI Mode, Microsoft Copilot, Gemini, Perplexity, Amazon Alexa and Meta AI, plus further models via API.
- Why? Citation analytics at page and domain level, plus Reddit, YouTube and LinkedIn reports and an offsite mentions view for brands named on third-party pages without a link. Agent Analytics gives IP-verified AI crawler logs for bots such as GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot, with a crawl-to-citation path and error tracking.
- What to change? The Action Board, a prioritized GEO to-do list. A Discovery agent investigates weekly and suggests up to five evidence-backed actions per run. Content gap analysis scores coverage against tracked prompts.
- Did it matter? Visitor analytics tracks AI-referred traffic and conversions through a lightweight script, a GTM template or the WordPress plugin.
Most of the tools we have looked at are strong on the first question and quiet on the rest. For us the crawler logs and traffic attribution tend to be the deciding factor, because they are the parts a pure tracker does not have. Crawler logs start on the Professional plan, so we set that expectation in scoping.
Where the effort usually goes
We do not publish percentages, because they would be invented. But the order of work is consistent.
- Access first. If the AI crawlers cannot fetch the client's key pages, nothing else counts. We check robots rules, CDN or firewall settings, and error responses in the crawler logs.
- Prompt set second. A weak prompt set produces a weak program. We use Prompt Explorer suggestions drawn from Search Console, ranking keywords and People Also Ask, then prune.
- Content gaps third. The gap analysis shows which prompts the client has no good page for. We write or refresh those pages.
- Off-site presence fourth. Assistants lean on third-party pages. If competitors are named on sources the client is absent from, we plan outreach and reviews.
- Attribution throughout. We install visitor analytics early so the baseline exists.
Content creation, with a human in the loop
Promptwatch includes content generation, and on Business and Enterprise a Content Agent that plans, writes and publishes against gaps on a schedule. We use a review inbox rather than hands-off mode for clients who care about brand voice, so an editor approves each piece. The publishing integrations cover WordPress, Webflow and Framer. For lighter needs, on-demand content creation from a brief and Content Refresh, which suggests diff-style updates to existing pages, are enough.
What we tell clients it cannot do
This part matters as much as the process.
- It cannot guarantee a recommendation. Engines change, answers vary between askings, and competitors publish too.
- It cannot make thin content win. If a page says what ten others say, the assistant has no reason to pick it.
- It is not a one-off project. Visibility is something you track and maintain, like rankings.
What we can promise is process: a baseline, a diagnosis, a prioritized list of fixes, and a way to see whether each change moved anything.
A starter checklist you can use today
- List 30 to 50 buyer prompts and run them.
- Check that AI crawlers can reach your top pages.
- Identify which three prompts matter most to revenue.
- Put visitor tracking in place before you publish anything new.
- Review the data weekly and write down what you changed.
Promptwatch has free tools for the first steps, including an AI Visibility Report that needs no login and an Agentic Readiness Check. Use them to see where you stand before you commit to a plan.