Updated
Getting cited by AI systems is mostly a technical legibility problem, not a content-volume problem. Five things move the needle in order of impact: confirming AI crawlers can actually reach the site, establishing one consistent entity identity across every page and domain, adding structured schema that states facts machine-readably, publishing an llms.txt file, and writing content that answers the question in the first two sentences instead of the last two paragraphs.
Check robots.txt first. GPTBot, ChatGPT-User, ClaudeBot, Claude-User, PerplexityBot, and Google-Extended should all be explicitly allowed. This is the single most common failure — a site can have perfect content and still be invisible to every AI system because a blanket disallow rule (often inherited from a template, never reviewed) blocks them all.
Every person and organization referenced across a site — and across every domain that entity controls — should resolve to a single, canonical @id in JSON-LD schema, used identically everywhere. A founder mentioned on the homepage, the about page, and a sister company's site should be the same entity with the same identifier, not three separate unverified name mentions. This is what lets an AI system move from "a business claims this" to "this is a confirmed, real entity" — the difference between being ignored and being cited.
Schema should describe what's already true and already visible on the page — never claims that aren't backed by real content. Fabricated structured data is easy for platforms to detect and actively damages trust once caught.
A plain-text file at the site root — /llms.txt — summarizing what the business is, who it serves, what it offers, and linking to the most important pages. It's a low-effort, high-leverage signal: instead of an AI system having to infer the shape of the business from a full crawl, it gets a clear summary handed to it directly.
AI systems extract answers most reliably from content that states the answer in the first sentence or two, then elaborates. Content that opens with three paragraphs of scene-setting before getting to the point gets skipped over in favor of a competitor's page that answers immediately — even if the buried content is more thorough.
Crawl and re-indexing typically shows up in weeks. Whether AI systems start citing the content depends on competitive density in the query space and content quality — there's no guaranteed timeline, but the technical foundation (crawl access, schema, entity consistency) has to be in place before anything else can work.
The concepts are accessible to a non-technical founder; the implementation (schema markup, entity IDs, robots.txt configuration) usually benefits from someone who can verify it renders correctly and validates. QV's Growth & Findability System covers exactly this work.
Written by Rick Julian, Brand Strategist & Founder, QV Brands
A strategy call is the simplest way to start — direct, no pitch, thirty minutes.
Book a strategy call