“AI search” is the moment an assistant answers a buyer’s question by quoting sources instead of returning ten blue links. Getting your product into that answer isn’t a new dark art. It’s a handful of concrete moves, most of which also make the page better for humans. Here’s the practical checklist.
First, how it differs from SEO
SEO optimizes a page to rank in a list. AI search optimization makes your sentences quotable so an assistant cites them in a direct answer. They share a foundation (clarity, structure, crawlability), but AI search leans harder on self-contained sentences and labeled facts. You can rank well and still never get quoted; the goal here is the quote.
The checklist
1. Answer real questions, in order of importance
Build the page around what buyers actually ask, and put the most-asked questions highest. (The full method is in making product content answer real questions.)
2. State facts as specifics
Replace every adjective doing a fact’s job with the number underneath it. “Affordable” → “$19/month.” “Fast setup” → “live in 15 minutes.” Specifics are what an agent can quote without hedging.
3. Keep facts in text, not images
Price, specs, and comparisons must exist as real text, not only in graphics, because an agent reads words, not layout. (More in what AI sees when it reads your page.)
4. Add Product and FAQ schema
Product schema labels price, availability, and attributes; FAQPage schema exposes your Q&A. Together they remove ambiguity about exactly the facts a buyer’s question hinges on.
5. Make every claim verifiable
Agents favor sources they can stand behind. A claim tied to a number, a date, or a named reference is safer to quote than a superlative. Drop the unprovable “best-in-class” and state what’s actually true.
Run the checklist automatically
Agent Speak checks your product page against the questions a buyer would ask, flags what’s missing, and generates the copy and schema to close the gaps.
Verify like an agent
After the edits, do the plain-text test: copy all the page’s text into a blank document and confirm each buyer question has a clear, specific answer in it. If it survives that view, it’ll survive an assistant’s read. This is the difference between hoping you’re optimized and knowing.
Common questions
SEO optimizes a page to rank in a list of links; AI search optimization makes its sentences quotable so an assistant cites them in a direct answer. They overlap on clarity and structure, but AI search rewards self-contained, specific sentences and schema more heavily.
Yes. Product schema labels price, availability, and attributes so an agent reads them without inferring; FAQPage schema exposes your Q&A. Schema doesn’t replace clear copy, but on product pages it materially reduces ambiguity.
It mostly isn’t, and that’s the point. Writing clearly and specifically is 80% of AI search optimization. Schema and the plain-text check are the technical layer on top of good writing, not a substitute for it.
Written by Michelle Savage, creator of Agent Speak. Related: Which page types to optimize for AEO first.