Technical SEO audits for AI search in 2026: the tools and checks we rely on
How we run technical SEO audits for AI search in 2026, the crawlability and log checks that matter, and why real AI crawler logs sit at the center.
A technical audit for AI search starts with an uncomfortable fact: your site can look perfect to Googlebot and still be unreadable to the bots behind ChatGPT, Claude and Perplexity. We have seen it on client sites more than once. A firewall rule, a CDN setting, a robots.txt line added years ago. Nobody noticed because nothing in the usual reports flagged it.
What we check, in order
1. Access. Are GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-User and PerplexityBot allowed in robots.txt, and also at the CDN or firewall level? Robots rules are only half of it.
2. What bots really request. A crawl simulates a bot. Server logs show a real one. We want to see which pages AI bots fetch, how often, and whether they get errors.
3. Rendering. Does the key content exist in the HTML as delivered, or only after JavaScript runs? Not every bot executes scripts.
4. Structure. Clear headings, canonical tags, sensible internal links, and schema where it fits the content.
5. Supporting files. llms.txt and an accurate robots.txt are cheap to review and generate. We treat llms.txt as optional rather than a ranking lever.
6. Crawl-to-citation. Of the pages bots fetch, which get cited? Pages fetched often but never cited need a content fix, not a technical one.
The tools
For classic crawl audits we still use a traditional crawler where the client already has one. For the AI layer, we run client programs on Promptwatch.
Its weekly Site Health audit runs 21 checks, produces a health score, shows what changed since the last run, and emails a summary. Site Content and Site Linking reports and crawlability checks fill in the rest. Agent Analytics provides IP-verified real-time AI crawler logs with spoofed user agents filtered out, so the numbers are not polluted by scrapers pretending to be GPTBot. It shows a crawl-to-citation path with a citation rate per page, error tracking with explanations for failures, stackable path filters and CSV export. The logs connect through Cloudflare, AWS CloudFront, Fastly, Vercel, Netlify, Akamai, Google Cloud CDN, a custom feed or the WordPress plugin.
360 Insights joins crawler logs, citation clicks and AI-referred visits per page, which helps us decide whether a page needs a technical fix, a content fix or nothing.
One point on plans, since it surprises people: Essential at $95 a month includes the site audit but no crawler logs. Crawler logs start on Professional at $245 a month. Agency plans, from $199, include both.
Alternatives we have looked at
Botify is the enterprise option, built for large sites with engineering support, with no published price. Scrunch AI includes site audits and bot traffic reporting. Okara ships technical fixes as pull requests that a human approves. SE Ranking, Semrush and Ahrefs offer AI tracking inside suites. Each has a use. For ongoing client work, we need real bot logs tied to citations, which is why we settled where we did.
Our fix workflow
- Open the weekly audit and note new failures.
- Check logs for AI bot errors on high-value pages.
- Fix access first, then rendering, then structure.
- Confirm in the logs that the bots now fetch the pages.
- Watch citation rate per page for the following weeks.
What audits cannot promise
A clean audit removes a barrier. It does not guarantee a citation, and AI answers vary run to run. We frame technical work as removing reasons you cannot be cited, then let content and sources do the rest.
If you are only going to do one thing this month, check whether AI bots can fetch your top ten pages.