ExplainerAnswer engine optimization
Pricing Pages That AI Engines Can Read Correctly
by the AEO GEO Labs team3 min read
Of all the facts an AI engine can get wrong about a company, pricing is the one we see mangled most often. Old plan names. A monthly figure quoted as annual. A "from $29" that was retired last year. A free tier that no longer exists.
When we trace these back, the source is usually not a third party. It is the pricing page. The page is correct for a human with a mouse and wrong for anything else.
How pricing pages hide their own numbers
The toggle. Monthly and annual prices live in the same table, and a JavaScript toggle switches between them. A text-only fetch sees both sets of numbers, or neither, with no indication of which is which. The engine picks one. Half the time it picks wrong.
Per-seat math in a calculator. The price is computed on the fly from a slider. The fetch sees "$0" or an empty element.
Regional pricing by geolocation. The crawler sees whatever region its IP resolves to, which may not be your main market.
Contact-sales everything. If the page says "custom pricing" for every tier, the engine goes looking for a number elsewhere, and finds one on a review site, a Reddit thread, or a competitor's comparison page. Now the number in the answer is one you never published.
Run your pricing page through a JavaScript visibility checker. If the numbers in the raw HTML do not match what a visitor sees after the scripts run, you have found the problem.
What a readable pricing page looks like
The goal is a page where each plan can be described in one plain sentence that exists somewhere in the HTML as text.
State the price in prose, not just in a table. Beneath or beside the pricing table, include a short paragraph: "The Starter plan costs $12 per user per month billed annually, or $15 billed monthly, and includes up to 5 projects." An engine can quote that sentence. It cannot easily quote a table cell whose meaning depends on a column header and a toggle state.
Render both billing periods in the HTML. If you use a toggle, make sure both prices are in the markup with clear labels, not swapped in by script. "$12/user/month (annual)" and "$15/user/month (monthly)" as visible text.
Name the plans consistently. The same plan names on the pricing page, in your docs, in your schema, in llms.txt, and in your sales deck. We have seen "Pro" on the pricing page and "Professional" everywhere else, and engines treat those as two products.
Say what is included in words. Checkmark grids are unreadable to a text fetch. A short bulleted list under each plan, in text, is readable.
Give a number even when pricing is custom. "Enterprise plans typically start around $2,000 per month; contact sales for a quote" is far better than silence, because silence gets filled by someone else's guess.
Date the page. A visible "Pricing current as of December 2026" line helps an engine weigh your page against a stale third-party mention.
Add Product and Offer schema
Mark up each plan as a Product with an Offer stating price, priceCurrency, and the billing period, with values identical to the visible prices. A schema markup generator produces the JSON-LD; the discipline is updating it every time the page changes. Schema that says $29 under a table that says $35 is worse than no schema.
Keep the old prices from winning
When prices change, the old ones persist on review sites, partner pages, and in old blog posts. After every pricing change, search your old price with your brand name and update what you can. Add the change to your changelog with the date. Update llms.txt. The more places the new number appears with a date, the faster retrieval-based engines tend to converge on it.
A test you can run today
Ask ChatGPT, Perplexity, and Gemini "how much does [your product] cost" and compare the answers to your page. Then ask "what is included in the [your cheapest plan] plan." If either answer is wrong, check the raw HTML of your pricing page for the correct fact before blaming the engine.
At AEO GEO Labs pricing is one of the first pages we check in a visibility audit, because it is the page most likely to be both wrong in answers and fixable in a day. If you want a quick read on whether yours is readable, AEO GEO Labs offers a free JavaScript visibility checker and a schema markup generator that cover the two most common problems.