A one-off AI SEO audit goes stale the week after it is run. WriteWorks crawls your site on a schedule, up to 10,000 pages on Enterprise, and keeps every audit. Compare any two to see which issues were fixed, which are new and which are still open, follow the trend crawl by crawl, get a weekly summary by email, and hand each page's fix to a developer as a ready brief.
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This is the working product, not a mockup: the same visibility scores, briefs and published content your team would be looking at. Start a free trial and point it at your own domain, or take the tour of what sits behind the screen.
Snapshots go stale, and two exports aren't a comparison.
An AI SEO checker you run once tells you about one day. A template change next month can undo the fixes, and nobody notices until traffic from AI answers dips.
Putting last quarter's export beside this one by hand, URL by URL, is slow, and it can't tell a fixed issue from a page that simply disappeared.
A developer needs the evidence, the steps and how to check, not a screenshot of a dashboard. Writing that ticket for every page is a job in itself.
Audits that stop at a few hundred URLs miss the templates where problems actually repeat.
Crawl on a schedule, compare audits, follow the trend, brief the fix.
Add your website and the first crawl runs automatically within a day. After that WriteWorks crawls weekly by default, or monthly, or only when you press New crawl. Scheduled crawls use no AI tokens; manual crawls use plan tokens for JavaScript rendering.
Pick the previous crawl, one from about 7, 30 or 90 days ago, or any two by date. Every issue on every URL is sorted into resolved, new or persisting, with the reason (fixed, page gone, regressed or new page) and the score and pillar changes alongside.
Every view charts its numbers crawl by crawl, from the score to pages with issues to each issue's affected pages, grouped daily, weekly, monthly, quarterly or yearly. After each scheduled weekly crawl, a summary email leads with what went well, then where to focus next.
Each page has a How to fix this page brief: what is wrong, the steps, what to aim for and how to check. Copy it for a developer or download it as Markdown. Every issue's affected URLs export as CSV.


What each brand fixed, measured before and after with the same audit, in their own words.
“Nobody had spotted that our market homepages carried no structured data at all. Now 100% of them tell AI exactly who GraftPal is, and every FAQ page in the audit carries a modified date.”
Everything that turns one crawl into a history.
Weekly by default, monthly or manual, with the first crawl automatic.
Resolved, new and persisting issues, with the reason for each.
On any issue, the pages that dropped out since the earlier crawl, and why.
Score, pillars, issues and pages, from daily to yearly.
Score and change, what went well and where to focus next.
Copy for developer or download as Markdown, built from the crawl's evidence.
Affected URLs for any issue, and the full Pages list.
Set a lower page maximum, and include or exclude paths.
From a quarterly snapshot to a weekly, provable record.
Scheduling, limits, comparisons, trends and handoff.
The people who run, fix and report on the site.
An AI search audit that keeps running, with proof of what each sprint fixed.
Fix briefs with the evidence, the target and how to verify.
The same audit for every client organisation, each with its own history.
A weekly read on whether the site is getting easier for AI to read.
“Honestly, the jobs board looked fine in a browser, so we never questioned it. The audit showed that only 5% of our job pages gave crawlers real content. We moved the listings into the server HTML, and the re-audit came back at 100%. The typical job page now carries 73% of its content before any JavaScript runs, and we're working through the rest.”
GoTeachingJobs team
Read the full storyEverything teams typically ask before getting started.
Pick any two audits. Each issue on each URL lands in one bucket, with the reason.
Gone since the earlier crawl. Marked fixed if the page is still there, or page gone if it isn't.
Appeared since the earlier crawl. Marked regressed on an existing page, or new page for a new URL.
On the same URL in both crawls: the real backlog.
Related solutions, adjacent use cases, and platform features.
A crawl of your whole site every week, every audit kept, and a clear view of what was fixed, what is new and what is still open.