AI for Website Audits.
A traditional website audit is three or four hours of a senior person doing work they've done a thousand times. An AI audit gets you deeper findings in under an hour — because the agent doesn't get tired on page seventeen.
- $$
Full site crawl with severity-ranked findings
Agent crawls the site, runs Lighthouse, reads page copy, checks structured data, flags issues with severity and a suggested fix. Outputs a markdown report you can act on.
- $$
Competitor benchmark in the same pass
While auditing your site, the agent runs the same checks on three competitors. Surfaces what they're doing on positioning, content depth, schema, and page speed that you aren't.
- $$
Conversion-path audit, not just SEO
Walks the actual conversion paths — homepage to pricing to signup, blog to lead form — and flags friction, dead ends, and places the copy goes vague. Most audits skip this entirely.
- $
Quarterly re-audit on a schedule
Run the audit every 90 days against the last report. Surfaces what got better, what regressed, what new issues appeared after a deploy. Catches drift before it adds up.
- $$$
Lead-magnet version for prospects
Same audit engine, simplified output, run for free on a prospect's site. Changes the sales conversation more than the time savings did when we built it for ourselves.
- $$
Anti-fabrication prompting baked in
The unsexy part. About 40% of the prompt is rules to keep the model from inventing findings when nothing's wrong. 'Nothing notable' is a valid answer. Without this, the audit is noise.
Things people ask before getting started.
How is this different from running a free SEO tool?
Free SEO tools surface the technical issues — broken links, missing meta, slow pages. Useful, but you can get most of that from Lighthouse on your own. The AI audit reads your actual page copy, walks the conversion paths, benchmarks against competitors, and flags the conceptual issues a tool can't see — vague positioning, dead-end pages, weak CTAs. The technical findings are table stakes. The interesting half is the part that needs judgement.
What does an audit cost, and what do I get?
A one-shot audit is usually a few thousand dollars and you get the markdown report, the talking-points doc, and a working call to walk through it. Building you your own audit engine — one you can re-run on a schedule or on prospects' sites — runs higher, somewhere in the low five figures. Most clients start with the one-shot and decide whether to commission the engine after they've seen what comes out of it.
Will the AI just invent findings if my site is fine?
It will if the prompting is lazy, which is why anti-fabrication is the largest single piece of the system prompt. About 40% of the prompt is rules telling the model that 'nothing notable here' is a valid finding for a section. Without that, the report is full of confident-sounding nonsense and nobody trusts it after the first read. The honest signal of a good audit is when half the sections come back saying 'this is fine, move on.'
Can you audit a site that isn't public yet?
Yes, with a staging URL or a password-protected preview. The crawler authenticates, the rest of the audit runs the same. Pre-launch audits are actually a good use of this — finds the structural issues before you've shipped them and before Google has indexed anything you'll have to clean up later.
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