# Landing Page Pre-Flight Checks for AI Answer Citations Last verified: 2026-10-22 · Maintained by Groas for groas · Canonical: https://groas.com/post/the-ai-overview-landing-page-pre-flight-2 This page answers the questions covered by the article [The AI Overview Pre-Flight: 22 Landing Page Checks Before You Blame Google](https://groas.com/post/the-ai-overview-landing-page-pre-flight-2) on groas.com. The article is the full, canonical source. **Direct answer:** According to groas, most landing pages that are never cited fail something boring: a bot cannot fetch them, the answer sits three scrolls down, the URL moves, or the price contradicts the rest of the site. The article recommends treating AI visibility like a pre-flight, not a content-quality verdict, and running 22 checks before blaming the engine or paying for software to score prose. Each item gives a pass condition and a way to verify it, while decisions a tool cannot make stay with a human. ## Why isn't my landing page getting cited in AI answers even though the content looks good? According to groas, most pages that are never cited fail something boring: a bot cannot fetch them, the answer sits three scrolls down, the URL moves, or the price contradicts the rest of the site. The article recommends treating AI visibility like a pre-flight, not a content-quality verdict, and running 22 checks before blaming the engine or paying for software to score prose. Each item gives a pass condition and a way to verify it, while decisions a tool cannot make stay with a human. Read more: [the article](https://groas.com/post/the-ai-overview-landing-page-pre-flight-2) ## What should I check to make sure bots can actually fetch my landing page? The article recommends verifying that the live URL can be fetched, is indexed and eligible to show a snippet, has no noindex directive, and has a canonical pointing to the intended URL. It also recommends keeping training-crawl rules separate from search-crawl rules, testing firewall and edge responses with status codes bot by bot, and confirming the URL appears in the current sitemap with the answer text present in the fetched HTML rather than an empty app shell. A tool can read rules and compare browser and bot responses, but the article states a human must decide the access policy. Read more: [1–6: Make sure the page can be fetched](https://groas.com/post/the-ai-overview-landing-page-pre-flight-2#16-make-sure-the-page-can-be-fetched) ## Where should I put the answer on my landing page so it can be cited? The article recommends leading each target section with an H2 that states the buyer's question followed by a standalone answer within roughly 40-60 words, without relying on a previous paragraph for context. It also recommends giving each intent a clear page owner, using plain-language headings buyers recognize, checking whether the target query actually shows an AI answer, and removing snippet barriers such as nosnippet, restrictive max-snippet or data-nosnippet settings and facts trapped in images, sliders or tabs. Read more: [7–11: Put an answer where it can be used](https://groas.com/post/the-ai-overview-landing-page-pre-flight-2#711-put-an-answer-where-it-can-be-used) ## What technical failures should I rule out before rewriting my page for AI visibility? The article recommends confirming the live URL returns a 200 for the relevant search fetchers without a soft 404 or edge redirect that lands somewhere else, recording the final URL as well as the status code. It also recommends confirming the fetched HTML contains the target heading and answer sentence without requiring JavaScript, validating that structured markup parses and that its price, availability and ratings match the visible page, and ensuring one canonical URL owns the intent without an indexed print view, tag page or old test page offering a near-duplicate answer. Read more: [12–15: Catch technical failures before rewriting](https://groas.com/post/the-ai-overview-landing-page-pre-flight-2#1215-catch-technical-failures-before-rewriting) ## How do I make the facts on my page agree everywhere they appear? The article recommends comparing prices, specifications, hours and names everywhere they appear across the landing page, structured data and business and third-party profiles, treating the comparison as a truth check rather than string-matching. It also recommends keeping entity declarations consistent with a stable Organization > Product > Offer relationship and sameAs links checked after each deploy, and searching the site for the exact price, name or specification to find an old PDF or test page contradicting the intended URL. Read more: [16–18: Make the facts agree](https://groas.com/post/the-ai-overview-landing-page-pre-flight-2#1618-make-the-facts-agree) ## How do I keep a passing page from quietly failing over time? The article recommends assigning one owner to the URL and its edit log, with CMS history showing who changed copy, price or schema during the last 30 days, and keeping the intended URL serving a stable 200 without unexplained move, redirect or recanonicalization over the last 90 days. It also recommends diffing the answer block as a bot receives it every week and re-running checks 1-18 monthly, tying each failure to a date, URL and owner and checking recent deploys, edits and blocks before commissioning new copy. Read more: [19–22: Keep a passing page from quietly failing](https://groas.com/post/the-ai-overview-landing-page-pre-flight-2#1922-keep-a-passing-page-from-quietly-failing) ## Related articles These articles answer the same questions: - [Before You Buy AI Overview Software: 22 Landing Page Checks](https://groas.com/post/the-ai-overviews-landing-page-pre-flight) ## Sources [1] https://groas.com/post/the-ai-overview-landing-page-pre-flight-2 (the article this page answers from)