AI Page Generation
Mentionable finds the questions where AI engines answer without mentioning your brand, then writes the page that gets you into the answer. The draft is built from the pages ChatGPT, Perplexity and Gemini already cite on that exact question, so it matches what the engines reward on that topic.
What problem does page generation solve?
Tracking tells you that ChatGPT recommends three competitors and never you on "best CRM for freelancers". Knowing that changes nothing on its own. The work that follows is the hard part: figure out what page to write, research what the cited sources cover, structure it the way the engines like, add the schema markup, publish, then wait and wonder whether it moved anything.
That is the step where most brands stop. Not because they lack the data, but because they lack the time or the writer. Page generation removes that step. Mentionable reads the gap, reads the competition, and hands back the page.
How does Mentionable pick which page to write?
Mentionable looks at every prompt you track, over the last 30 days. A prompt becomes an opportunity when at least one AI engine answered it and none of those answers mentioned your brand. An engine that never scanned the prompt is neither absent nor present, so it never creates a false gap.
Opportunities are ranked by how many engines ignore you. A prompt where five out of seven engines skip your brand sits above one where a single engine does, because that is where a page pays off most. Next to each opportunity, Mentionable shows the domains cited instead of yours, so you see who currently owns the answer.
Once a prompt has a generated page, it leaves the list. You never pay twice for the same gap.
What is in the draft?
Two things.
The markdown page: title, heading structure, and body copy, written in the format of the pages the AI engines already cite on that prompt. Mentionable reads those sources first, extracts the angles they cover and the way they organize an answer, then drafts yours the same way.
The JSON-LD block: structured data built only from facts Mentionable actually holds. Paste it into a script tag of type application/ld+json in your page head. No invented properties, no placeholder values.
What about the facts only you know?
They are flagged, not invented. Your pricing, your customer count, your case studies, your delivery times: Mentionable marks each one as a gap to fill before publishing, in the language of the page.
This is a deliberate constraint. A generated page that confidently states the wrong price for your own product does more damage than no page at all. You get a complete draft with a short, explicit list of what to complete.
Does Mentionable publish the page for you?
No. You review the draft, edit it, and publish it on your own site, in your own CMS. Mentionable never touches your website.
What it does do is close the loop afterwards. Paste the published URL back and, from the next daily scan on, Mentionable looks for that URL in what the AI engines cite. When one starts citing it, the page is marked as cited with the date, and you can see which prompts it now wins. Most GEO work ends at publication and leaves you guessing. This one reports back.
How much does it cost?
150 credits per generated page. Every Mentionable plan is credit-based, so the price is the same everywhere: Growth includes 1,500 credits a month, Pro 3,000, Agency 5,000. Credits are a single pool shared between daily tracking, page audits, Reddit enrichment and page generation, so you decide each month where they go.
Who is it for?
Brands and teams without a content writer on hand. A solopreneur who knows they are invisible on three questions but has no idea what to write. An in-house marketer who has the data and no bandwidth. A consultant who wants a first draft in thirty seconds instead of an afternoon.
It needs no technical setup. Pick a prompt, click generate, review, publish. Teams who prefer to drive everything from their own AI stack can reach the same data through the Mentionable MCP server, but page generation works entirely from the dashboard.
How does it compare to the page audit?
They solve opposite problems and work well together.
The page audit takes a page you already own and tells you exactly what to fix on it: copy changes, missing schema, GEO score. It defends and improves what exists.
Page generation starts where nothing exists. No page on that topic, no citation, no presence. It creates the asset.
A typical month: generate pages for the gaps where you are completely absent, audit the pages you already rank with. One covers new ground, the other holds it.