A 2026 Checklist to Make Your Site AI-Readable

Most AI-visibility problems trace back to a small set of fixable technical and structural gaps. This is the order we'd work through them in at Scoutern, starting with the checks that can silently block you entirely and ending with the ongoing habits that keep you visible as engines and competitors change. Run it once end to end, then keep the tracking habit going — this isn't a set-and-forget list.

1. Crawl access (do this first)

• Check robots.txt for a blanket Disallow rule that accidentally blocks every AI crawler at once
• Explicitly confirm GPTBot, PerplexityBot, Google-Extended and ClaudeBot aren't disallowed by name
• Re-check after any CDN, security-plugin or hosting change — these often silently reset robots.txt to a restrictive default

This step goes first because it's binary and invisible: everything else on this list is wasted effort if the crawler that would read it is blocked. It's also the single most common gap we find during audits, usually left over from an old security default nobody has reviewed since it was set.

2. An llms.txt at your domain root

• A short, plain-language description of your product and who it's for
• Curated links to pricing, top features and comparison pages, each with a one-line summary
• Keep it current — update it whenever pricing or positioning changes

3. Structured data on your highest-intent pages

• Organization schema sitewide, so a model can confirm who you are before citing you
• FAQPage schema on pricing and comparison pages, matching how buyers actually ask questions
• Product or SoftwareApplication schema with accurate, current pricing

4. Content structured for extraction

• Lead each section with a direct, quotable answer sentence before the supporting detail
• State pricing, positioning and category in plain language — avoid making a model infer it from metaphor
• Keep a visible publish or last-updated date on comparison and pricing content

5. Independent validation

• Make sure accurate, current information about you exists on third-party review and comparison sites
• Correct outdated pricing or feature claims about you wherever you find them online

6. Track it, don't just set it and forget it

Every item above is a one-time or occasional fix, but AI answers themselves are not static — they shift as engines re-crawl, retrain and as competitors publish new content. Run through this checklist once, then check your actual visibility on a schedule rather than assuming the fixes stuck permanently.

How long does the full checklist take?

For a small-to-mid-size site, expect a focused day or two for steps one through four — crawl access, llms.txt, core schema and rewriting a handful of key openings. Steps five and six are ongoing: third-party validation builds over weeks and months, and tracking is a permanent habit, not a task you finish.

A composite example: a mid-market HR software company ran through this exact list over a single week — fixing a partially blocked ClaudeBot rule, adding an llms.txt, adding FAQPage schema to their pricing page, and rewriting the opening two sentences of their top three comparison pages. Within a month, they went from being absent on three of five tracked engines to appearing on all five for at least one of their core buyer questions. Nothing about the product changed in that window — only how easy it was for a model to find, parse and trust.

Once the fundamentals are in place, the highest-leverage next step is tracking the actual questions your buyers ask and watching how your share of voice moves against real competitors over time.