Is Your Website AI-Ready? 8 Signs It's Not (And What to Fix)

Headlines like 'We help businesses grow' or 'Your partner in success' tell an AI nothing. AI search engines need to understand: What do you do? Who do you do it for? Where are you located?

Fix: Rewrite your homepage H1 to be specific. 'We help Manchester restaurants fill more tables with AI-powered marketing' beats 'We're a digital marketing agency' for AI citation every time.

Question-and-answer content is useful to an answer engine because each item is a self-contained question with a direct answer attached, which is the shape a generated response draws on. Most of that benefit is in the writing. Marking the pairs up in FAQPage schema plausibly helps on top, by making the question-to-answer boundary explicit rather than leaving a parser to infer it, though that is an association rather than a demonstrated effect.

Fix: Add an FAQ section to every key service page. Start with the 5–8 questions your customers most commonly ask. Answer each in 2–4 direct sentences, and make each answer true on its own without the question in front of it.

Schema.org structured data declares what an entity is in machine-readable form. Keep expectations calibrated: Google's May 2026 guidance states that no special structured data is required for its generative AI features, so treat schema as a rich-result and entity-clarity measure first, and as a possible parsing aid second.

Fix: Implement LocalBusiness schema on your homepage and Service schema on each service page. On FAQPage, separate two claims that usually get merged. Google deprecated FAQ rich results on 7 May 2026, removed the reporting in June 2026, and ended Search Console API support in August 2026, so it earns no search feature and is no longer measurable there. That is a fact about a Google SERP treatment, not a finding that the markup is useless to AI crawlers, which is plausibly helped by the explicit question-to-answer boundary. Add it as cheap hygiene rather than for a promised return, keep any you already have, and expect no number to move as a result.

A note on llms.txt, which belongs in a different category from everything above. It is an access convention for AI crawlers, not a schema type and never a search feature, so the deprecation reasoning does not apply to it at all. Google has said its crawler treats the file like any other text file, so serving one is a bet on other agents reading it, not on Google.

Traditional SEO copywriting often builds up to the answer: context, problem statement, then solution. AI search engines don't read like that. They scan for the answer immediately. If it's not in the first 100 words of a section, they move on.

Fix: Rewrite every section of your key pages to lead with the answer. If a section is about your pricing, start with your pricing. Don't build up to it.

AI search engines crawl your site to index your content. A slow-loading page (particularly one over 3 seconds on mobile) means less of your content gets crawled and indexed. This directly affects how often you're cited.

Local business signals (your city, region, service area, neighborhoods you serve) need to appear in your actual content, not just your contact page or footer. AI systems read content. They don't always infer location from metadata.

A service page with 150 words tells an AI very little about what you actually do. AI systems prefer content-rich pages that describe the service in detail, explain who it's for, address common questions, and include outcome examples.

AI search engines weight credible, verifiable information more highly. Specific results ('clients have seen 34-point AI search score improvements'), years of experience, certifications, and third-party mentions all function as credibility signals.