Which software optimizes existing pages for AI search engines?
Which software optimizes existing pages for AI search engines? How we refresh pages for clients: diagnose first, edit with evidence, publish, then measure citations.
Clients rarely need more pages. They need the pages they already have to work for AI search engines. The software question is really three questions: how do we find which pages to fix, how do we edit them, and how do we know it worked? Here is how we handle each.
Diagnose before editing
We start from evidence. In Promptwatch, Agent Analytics shows IP-verified crawler logs with a crawl-to-citation path and a citation rate per page. A page that is crawled often but rarely cited is a content problem. A page that is never crawled is an access problem. Those need different work, and we do not want to rewrite copy when the real issue is a blocked bot. Crawler logs start on the Professional plan.
We then look at Citation Trends, which gives first cited date, ramp-up days, peak rate and decay half-life per page. A page whose citations are decaying is a refresh candidate. 360 Insights joins crawler logs, citation clicks and AI-referred visits per page, and Topic Insights flags pages that underdeliver for their topic. Page Tracker lets us follow a specific URL, including a competitor's.
Pick the prompt, then edit for it
Each refresh targets a prompt. Content gap analysis scores coverage per prompt, and the Answer Gap Report is what the agency Monks reports using for client content roadmaps. We read the page that is currently cited for that prompt and note what it does that ours does not. Usually it answers faster, or covers a follow-up question, or includes a table.
Edit with suggestions we can review
Content Refresh gives diff-style update suggestions for existing pages. We treat them like an editor's changes: accept, adjust or reject. Our standard edits are: put the direct answer in the opening lines, add the missing sub-questions, replace vague claims with sourced specifics, update stale facts, and add a comparison table where the prompt is a comparison.
We do not use AI edits to invent facts. Every number goes back to a source or comes out.
Publish without copy-paste
Promptwatch publishes to WordPress through an official plugin, to Webflow (including localized collections) and to Framer, with AI field mapping. One caution for Framer clients: there is no per-item publish, so going live redeploys the whole site. We schedule accordingly.
For clients on Business or Enterprise, the Content Agent can plan, write and publish on a schedule. We run it with the review inbox rather than hands-off, so an editor approves each change. Agency plans do not include the Content Agent.
Measure after
Two to four weeks later we check citation trends for the refreshed page, and AI-referred visits through visitor analytics. If nothing moved, we look at access and off-site corroboration before editing again. Reddit, YouTube and LinkedIn citation reports and the offsite mentions list show where competitors are mentioned and the client is not.
Where other tools fit
AthenaHQ and Scrunch AI take other approaches (schema and entity tagging, and serving AI-optimized pages to crawlers). Surfer and Clearscope are classic content optimization tools, and we have not tested their AI features on client work, so we will not claim anything about them. Our recommendation comes from the combination we use: diagnosis, edits and measurement together.
What we tell clients
An edit is a test, not a guarantee. We cannot promise a page will be cited after a refresh. We can promise the change was informed by evidence, and that we will report what moved.
We log every refresh with its date and target prompt.
We keep the before and after in a simple table for each client.