§01tl;dr
We audited 600 pages that showed up as citations across 50 B2B categories — pulled directly from LLM responses using our own tool. Pages that get cited regularly share four structural patterns. None of them are about keyword density, domain authority, or publishing cadence.
87% of frequently-cited pages have at least three of these four patterns. Pages with zero of them get cited in fewer than 4% of relevant queries.
§02the audit
We ran 600 targeted queries across six categories — dev tools, project management, CRM, payments, analytics, and security — and noted which pages appeared as citations more than twice across 30 runs. That left us with 312 “frequently cited” pages. We then manually audited each one for structural and content patterns.
Here’s what 87% of them share.
§03numbers beat adjectives
Every high-citation page leads with a specific, extractable claim. Not “enterprise-grade security” — “SOC 2 Type II certified, AES-256 encryption, zero data retention.” Not “blazing fast” — “p99 latency under 60ms, globally distributed across 18 regions.”
LLMs extract claims the way a researcher takes notes. Adjectives can’t be extracted into a coherent recommendation. Numbers can. If your page can’t be quoted, it won’t be.
The easiest audit: read your homepage headline and ask “what fact did I just learn?” If the answer is nothing, that’s your first fix.
§04comparison framing
67% of frequently-cited pages either are a comparison page or contain a structured comparison section. Not marketing fluff — a real “when to use us vs X” breakdown with honest trade-offs acknowledged.
LLMs are trying to give recommendations. They default to pages that already did the comparison work. A page that says “we’re faster than X but X has better enterprise support” is a citation goldmine — it’s structured, balanced, and immediately useful to someone asking a buying question.
Stripe’s pricing page compares itself to PayPal and Braintree. Linear’s about page explains when to use Linear vs Jira. Notion’s FAQ compares it to Confluence. These aren’t accidents.
§05third-party signals on your page
This one surprised us. It’s not enough to have third-party validation — G2 reviews, Reddit threads, analyst mentions. High-citation pages pull that signal onto the page itself.
A G2 rating in your homepage hero. A Reddit quote in your case studies section. An analyst excerpt in your about page. LLMs weight pages that show external validation in the text they actually read, not behind a link they’ll never follow.
“We added a single sentence from a G2 review to our homepage headline — ‘4.8/5 across 2,400 reviews’ — and our Perplexity citation rate on competitive queries went from 12% to 39% in six weeks.”— growth lead at a B2B analytics company
§06entity clarity
The page answers “who are you, what do you do, for whom” in the first three paragraphs — without jargon, without marketing language, without hedging.
This sounds obvious. Most pages fail it completely. “An AI-powered platform that helps teams move faster” tells a model nothing it can use. “Linear is issue-tracking software for software engineers, built around keyboard shortcuts and two-week cycles” — that’s citable.
A useful test: paste your above-the-fold copy into Claude and ask “what does this company do and who is it for?” If the answer is vague, the copy is vague.
§07the 30-minute fix
You don’t need to redesign your site. Here’s what to do this week:
- Homepage headline audit. Replace the top adjective with a specific number or outcome. “Ship faster” → “Ship in half the time — median team saves 4.2 hrs/week.”
- Add one comparison paragraph. Doesn’t need to be a full page. A single “how we compare to X” section on your pricing page is enough to start.
- Pull a G2 stat above the fold. If you have reviews, use them. Put the number where the model will see it — in body text, not just a widget.
- Rewrite your first paragraph. Subject = your company name. Verb = what you do. Object = who benefits. One sentence. No adjectives.
Then run a check and see where you land. The gap between where you are and where the cited brands are is almost always smaller than it looks.