Skip to content

What AI search optimization is and where to start

Gold signal rings radiating from a point on a dark field, cover image for "What AI search optimization is and where to start"

The short answer

AI search optimization is the work of getting your pages cited when Google AI Overviews, ChatGPT or Perplexity answers a question you can answer. For an agency or a local service business, it is mostly SEO done well on the pages you already have. Put a direct answer at the top of key pages, keep facts current, and test the questions customers actually ask.

AI search optimization is the work of getting your pages cited when Google AI Overviews, ChatGPT or Perplexity answers a question you can answer. For an agency or a local service business, it is mostly SEO done well on the pages you already have. I would not buy it as a separate channel. Put a direct answer at the top of your key pages and keep the facts on them current. Then test the questions your customers actually ask.

What AI search optimization means

AI search optimization means shaping your site so answer engines can find your pages and cite them. Michael Bonebright of Directive writes in How to Optimize Content for AI Search in 2026 that "AI Search Optimization is the practice of adapting SEO principles to how AI-generated answer systems read, interpret, and cite information." I agree with that definition. It keeps SEO at the center, where it belongs.

Other writers use other names. Itamar Haim at Elementor calls the same work Generative Engine Optimization, or GEO, and argues in his June 2026 guide that it is a new discipline. I see it differently. The crawling, the page structure and the trust signals are the same ones good SEO has always needed. What changed is the goal. A ranking used to be the win, and now the win is your business named inside the answer, with or without a click.

For a dental practice or an agency, the label matters less than the decision it drives. Be careful with any vendor who sells AI search optimization as a fresh budget line with no connection to your existing pages. The work starts with pages you already own.

How AI answers choose which pages to cite

AI answer engines pick sources in two steps, and a page has to pass both. Itamar Haim describes the process in Elementor's guide to AI search as retrieval followed by generation. First the system pulls short passages that match the question. Then the language model writes an answer from those passages and decides which ones to credit.

Each step rewards something different. Retrieval rewards structure. A passage that answers one question clearly under its own heading is easy to lift. Generation rewards trust, so a page with a named author, current facts and sources that check out gives the model a reason to cite it over a vague competitor.

The practical rule is simple. Write every section of a key page so it answers one question by itself, with no reference to the section above it. A paragraph that opens with "as mentioned earlier" makes a weak passage once it is cut loose from the page.

Which searches trigger AI answers

Long, specific questions are the searches most likely to get an AI answer, and they are the questions local customers ask. Michael Bonebright cites a 2025 Pew Research report in Directive's AI search guide showing that only 8% of one- or two-word Google searches triggered an AI summary, against 53% of searches with 10 or more words. The same report found that 60% of searches starting with who, what or why returned one.

Think about what that means for a dental practice. Nobody types "dentist" and stops. Patients type "does any dentist near me take Delta Dental on Saturdays" or "how much does a crown cost without insurance." Your service pages should answer questions like those in their first lines, in the words a patient uses.

An agency can run the same test for every client. Pull the questions from sales calls, intake forms and reviews. Then check whether a page on the site answers each one in its opening paragraph. Where none does, you have found the first task.

What to fix first on an existing site

Fix access first, then the top of your best pages, then the facts. No amount of writing helps a page that answer engines cannot reach. On an established site, I would work in this order.

  • Check that AI crawlers can reach the site. Directive's guide recommends allowing GPTBot, CCBot and Google-Extended in robots.txt, and warns that security plugins or CMS settings can block them by accident. Open the file and look.
  • Rewrite the opening of the handful of pages that already bring in calls or leads. Each one should start with a short, direct answer to the main question the page exists to answer.
  • Put the facts an answer engine would repeat in plain text on the page. Hours, service area, accepted insurance and booking steps belong in sentences, and they should match your Google Business Profile exactly.
  • Add a visible updated date, and change it only when you change the content.
  • Add structured data. Directive suggests FAQPage and Article markup among others. For a local practice I would add LocalBusiness markup with the same address and hours shown on the page.

The step most sites skip is the third one. When an AI answer gets your hours or your insurance list wrong, the cause is often a page that says one thing and a directory listing that says another. Answer engines repeat what they find. Give them one consistent version.

How to measure AI search visibility without fooling yourself

Measure AI search visibility with a fixed list of questions, checked on a schedule, across more than one engine. A single screenshot proves almost nothing. Answers change from one run to the next and from one platform to another.

The platforms behave differently from each other, too. Rebekah May of Marketing Aid reported in September 2024 that across 500 test searches, Perplexity linked its sources 100% of the time outside writing and creative requests, Gemini showed sources about 30% of the time, and ChatGPT gave no links unless asked. Those figures come from September 2024, and the products have changed since. A result from one month is a snapshot. A trend takes months of the same questions.

A workable log for a small team records these items for every check.

  • The exact question, written once and never reworded
  • The date and the engine
  • Whether your business was named
  • Which page was cited, yours or a competitor's
  • Any wrong fact in the answer

Log your page updates as well, because freshness affects what gets cited. A 2025 Ahrefs study found that the average page cited in AI answers was nearly a full year newer than pages in traditional search results, according to Directive's summary. In the same guide, Michael Bonebright recommends updating high-value pages every three to six months. On a small site, I would pick fewer pages and keep them truly current rather than touch everything lightly.

Why video and format variety help a page get cited

Answer engines pull from more than written pages, so a business with a short video on a common question gives them one more thing to cite. Rebekah May reported in her Marketing Aid study that Perplexity cited an average of 8 articles per answer in her test searches, and that videos showed up far more often on general questions than on health or finance questions. She recommends YouTube for that reason.

For a dental practice, that split matters. Health questions sit in the category where her test found fewer videos and more high-authority sources like universities and government sites. I would still record a short video on booking, insurance or what a first visit looks like, because those are practical questions rather than medical advice. Embed it on the page that answers the same question in text. The page and the video then support each other.

Where big-company playbooks do not fit a small team

Most published AI search playbooks are written for marketing departments, and a local practice or small agency should scale them down hard. Elementor's June 2026 guide proposes a budget that puts 40% into core SEO, 25% into digital PR and 20% into data and reporting, with the rest on training and experiments. That split assumes a team with a PR function and money for enterprise tracking tools.

A dental practice with one office manager has a different budget. It is hours. I would put almost all early effort into the pages and facts you control. Itamar Haim is right that trust carries weight in the final answer, and outside mentions help build it. Trust cannot rescue a page that is hard to parse or blocked, so earn the basics first and spend on reach later.

The same logic applies to tracking software. Directive's guide mentions citation-tracking tools such as Scrunch. A tool like Scrunch can help an agency watching many clients at once. A single practice can run its question log in a spreadsheet for months before any tool earns its cost.

What a good AI search engagement includes

A good AI search engagement works on your existing pages and promises nothing it cannot control. At NorthSignal, our SEO and AEO service reviews search access, indexing signals and priority pages, improves existing service or category pages, and checks live changes and documents search and AI visibility observations. It does not guarantee rankings or AI citations, and new pages or backlink campaigns need their own scope.

I hold every vendor to that standard, including us. Anyone who guarantees AI citations is guessing, because no outside party controls which passages Google or OpenAI choose to quote. I run every engagement myself, from scope to handoff, with no account team between you and the work.

How this post was made: drafted with AI assistance (Claude Opus 5.5) from the sources linked above and checked by an automated quality gate that matched every figure and quotation to its source on 2026-10-27.

Thank you for reading. If you want a second opinion on where your site stands, bring one question you wish AI answers got right about your business to a free Growth Audit Call, and we can look at it together.

Request a Growth Audit

Key takeaways

  • AI search optimization is, in Michael Bonebright's words at Directive, the practice of adapting SEO principles to how AI-generated answer systems read, interpret, and cite information.
  • A 2025 Pew Research report cited by Directive found that only 8% of one- or two-word Google searches triggered an AI summary, against 53% of searches with 10 or more words.
  • A 2025 Ahrefs study found that the average page cited in AI answers was nearly a full year newer than pages in traditional search results.

NorthSignal

Want help applying these ideas to a real workflow in your business?

Book a free call

Apply the ideas

Choose the work your team needs. A focused page or workflow improvement may be enough without an AI agent.

Next Step

Put the next useful idea to work.

NorthSignal helps you choose a useful workflow, implement an agreed improvement, and check the result. That may mean agentic consulting, search, Shopify, CRM, or lifecycle work.