How we work with AI
Technical SEO
A website can load perfectly for a human visitor while being partially closed to Google, ChatGPT, Perplexity, Claude or other discovery systems. This checklist explains what to review before blaming the content.
Technical SEO:
How we work with AI / technical seo
29 July 2026 · 12 min read
A website can load perfectly for a human visitor while being partially closed to Google, ChatGPT, Perplexity, Claude or other discovery systems. This checklist explains what to review before blaming the content.
Key points
Most teams check a page by opening it in a browser. If it loads, they assume everything is fine. For SEO and ai visibility, that is not enough. A crawler may receive a different response because of user agent, location, IP range, request frequency or a security rule.
The common failure mode is a service page that returns 200 to a normal visitor but 403 or 429 to Google-Extended, gptbot, OAI-SearchBot, perplexitybot or claudebot. In that case the copy is not the first problem: access is.
Google describes robots.txt as a way to tell crawlers which URLs they may access and to manage server load. It should not be used as a privacy mechanism or as a substitute for noindex. Private content needs real access control.
For ai visibility, the practical decision is to separate general search crawlers, AI search or answer crawlers, and training crawlers. Some may be useful to allow and others may be limited, but the choice should be intentional.
HTTP codes are basic crawlability signals. A 200 delivers content. A 301 can consolidate a migration. A 404 or 410 communicates absence. A 403 means blocked. A 429 means too many requests. A 5xx means the server failed to respond correctly.
The audit must test these codes with several user agents. Browser-only validation misses many problems because the failure often appears only when a request looks like a crawler.
Cloudflare supports custom rules, managed challenges, rate limiting and exceptions. Those tools are useful, but an aggressive setup can make a website technically published and practically invisible to crawlers.
The right answer is rarely to allow every bot everywhere. A better setup protects login paths, forms, internal APIs and abusive parameters while keeping important public pages accessible when the request pattern fits legitimate crawling.
A sitemap does not force indexing, but it helps discovery and communicates modified URLs. This matters when content is new, multilingual or not yet strongly linked internally.
Canonical and hreflang complete the structure. Canonical points to the preferred version when duplicates or variants exist. Hreflang connects equivalent Spanish, English and Catalan pages so they do not compete blindly.
Not all AI bots have the same purpose. OpenAI separates crawlers for search, training and user-triggered requests. Anthropic documents different agents for different uses. Perplexity documents its crawler for search results.
If a company wants assistant visibility, blocking everything related to AI can be counterproductive. If it needs to limit content use, allowing everything without policy can also be wrong. The decision should follow the use case.
Before a landing page, service page or article is considered finished, it should pass a basic technical checklist. This is not decorative work: it prevents content from existing only for users who already know the URL.
The review must happen in production because real issues often come from CDN, WAF, cache, redirects, SSL or hosting rules rather than the local HTML.
A useful output is not a huge list of errors. It is a decision per URL: index, redirect, remove with 410, keep blocked or improve. Mixing those cases creates noise.
For ai visibility, priority pages are the ones that explain what the company does, who it serves, where it operates and why it is trustworthy. Those pages must be accessible, clear, linked and supported by verifiable signals.