Getting cited by an AI answer engine isn't the same problem as ranking on Google, even though the two share real technical overlap. Here's a checklist grounded in what a scoring engine actually measures, not guesses about what AI models supposedly prefer.
AI search vs. AI crawling — two different things
"AI crawling" is a bot fetching a page — GPTBot, ClaudeBot, PerplexityBot requesting a URL, the same mechanical act as any search engine crawler. "AI search" (or citation) is a separate, later step: whether that already-crawled content gets pulled into an actual generated answer when a real query matches it. A page can be crawled constantly and still never get cited, if what it says doesn't clearly answer anything a real query would ask, or if it isn't structured in a way that's easy to extract from. Getting crawled is necessary but not sufficient — see how to check whether AI bots have visited your site at all as the prerequisite check before anything below matters.
Six things AI engines look for
These map directly to the six weighted categories a real AI-readiness scoring engine checks — not a marketing list, the actual categories and weights behind ai-visibility's AI Readiness Engine, which this site's own free scanner is built on:
| Category | Weight | One concrete action |
|---|---|---|
| Crawlability | 20% | Confirm robots.txt explicitly allows GPTBot, ClaudeBot, and PerplexityBot — don't assume a default is a pass. |
| Structure | 20% | Use one H1 and an unskipped H2/H3 hierarchy so a machine can segment the page into extractable pieces. |
| Entity signals | 20% | Add Organization schema (and Person schema for author bylines) — this is how an AI system resolves who is saying something, not just what is said. |
| Citation readiness | 15% | State the direct answer to the page's core question in the first sentences, before any framing or preamble. |
| Content | 15% | Write self-contained sections — each one should make sense quoted alone, without needing the paragraph before it for context. |
| Authority | 10% | Add visible author attribution and real contact information — both are checks, not just nice-to-haves. |
Crawlability is weighted highest for a structural reason: a hard AI-crawler block zeroes out the entire score regardless of how good everything else is — it's a gate, not just one factor among six. See the full scoring methodology for how the weights combine and what all 30 individual checks cover.
Technical checklist
The fundamentals, in the order they're usually cheapest to fix:
- robots.txt — explicit
Allowrules for AI crawlers, not just an absence ofDisallow. See the AI crawlers explainer for exact syntax and the allow/block tradeoff for training crawlers specifically. - Server-side rendering — most AI crawlers don't execute client-side JavaScript, so content that only appears after a client-side render is invisible to them regardless of how good it is. If a page's core content requires JS to appear, that's the single highest-leverage technical fix available for a JS-heavy site.
- Bing Webmaster Tools — worth setting up specifically because Bingbot and Microsoft's own AI surfaces (Copilot) draw on the same index infrastructure; verifying and submitting a sitemap there is a distinct step from Google Search Console, not a duplicate of it.
- llms.txt — low-cost, unenforced, partial vendor adoption. Add it because it's cheap, not because it's proven to move a citation rate by itself — see the full llms.txt explainer for the honest state of adoption.
Small sites are not automatically excluded
AI citation isn't gated by domain authority the way competitive Google rankings often are — an AI engine's retrieval step matches content to a query, and a well-structured page from a smaller, independent site can score as citation-ready as a page from an established brand on the same structural checks. That's a real pattern in our own 50-site scoring study: SaaS and e-commerce sites scored highest on average not because of brand size, but because they tend to run modern frameworks with deliberate structure and schema already in place — a local/independent business site in that same study scored a respectable 59.6 average, ahead of both blogs and news publishers. The honest caveat: that study measured structural readiness, a proxy for citability, not confirmed AI-citation outcomes directly — but it's a real, reproducible signal that the technical checklist above is the lever worth pulling regardless of site size, not an authority-gated advantage only large brands can access.
Measure progress instead of guessing
- Score your current state:
npx ai-visibility audit https://yoursite.comfrom the command line, or run a free scan for the same report with no install. - Track it over time: re-run the same audit after each fix — the category breakdown shows exactly which of the six areas above moved and which didn't.
- Go further — measure actual AI mentions: once the structural score is solid, the brand measurement engine can query OpenAI, Perplexity, Gemini, and Anthropic directly (bring your own API key) and report whether your brand actually gets mentioned and recommended, with statistical confidence intervals — a different, later-stage question than the structural checklist above.
Check your current score and get a prioritized fix list: run a free scan at crawlpod.com/scan, or npx ai-visibility audit https://yoursite.com — no signup required either way.