The buyer never sees your marketing page anymore
Here's the uncomfortable part of how AI assistants work. When a prospect asks ChatGPT or Perplexity whether your plan really includes unlimited seats, the model doesn't open your pricing page and read the headline. It pulls from everything you've ever published: the pricing page, sure, but also your help center, your changelog, your API docs, that community forum thread from 2022, and the support article an agent wrote to explain a workaround.
Your marketing team controls maybe a fifth of that surface area. The rest was written by support, engineering, and whoever answered a ticket at 4pm on a Friday. Those people were solving a different problem, and they were honest in a way marketing copy usually isn't. So when the pricing page says "unlimited" and a help doc says "performance degrades past 25 active users, contact us to raise your limit," the model has two sources that disagree.
It will pick one. You don't get a vote on which.
Same question, four sources, three different answers
| Comparison category | Surface | What it says about seat limits | Who wrote it |
|---|---|---|---|
| Pricing page | "Unlimited seats on every plan" | Marketing | |
| Help center article | "Soft cap of 25; email support to lift" | Support | |
| Changelog (v4.1) | "Added per-workspace quota enforcement" | Engineering | |
| Onboarding guide | "Add as many teammates as you need" | Product marketing |
Why the contradiction is worse than being wrong once
A single wrong fact is a small problem. An AI assistant confidently reconciling your own contradictory claims is a bigger one, because it makes a choice on your behalf and states it with full confidence. Sometimes it quotes the cautious support doc and a buyer thinks you oversold. Sometimes it quotes the pricing page and a buyer signs up expecting something the product doesn't actually deliver, then churns angry. Either way you lose, and you never see the query that did the damage.
This didn't matter much when buyers used a search box. They'd land on your pricing page, read the marketing framing, and the support doc stayed buried three clicks deep. AI assistants flattened that hierarchy. Every public page now competes equally to be the source of the answer, and the model has no idea which one your legal or revenue team considers authoritative.
The fix isn't to scrub honesty out of your support docs. It's to make your claims agree. If there's a cap, say so everywhere, including the pricing page, and explain how to lift it. If it's genuinely unlimited, update the help article that contradicts it. Consistency is the actual deliverable, and most teams have never audited for it because no one owned the whole surface at once.
Where Crescive fits
Crescive scans every public page your brand owns and checks your claims against each other, not just against a style guide. It flags where the pricing page, the help center, the changelog, and community answers state different things about the same fact, then shows you the specific pairs that conflict and which one an AI assistant is currently favoring when a buyer asks.
From there it drafts the fix, aligned to whichever version you mark as authoritative, and holds it behind a human approval gate so nothing ships without a person signing off. Then it re-runs the buyer-style questions against the assistants and shows you the before-and-after: the contradiction is gone, and the answer a prospect gets matches what you actually sell. You close the gap before an AI narrates it to someone in a buying cycle.
Key takeaways
- AI assistants pull from your entire public footprint, so a support doc can override your pricing page in the answer a buyer sees.
- A contradiction between what sales promises and what support documents is invisible in a search world and instantly visible in an AI answer.
- The fix is internal consistency across every surface, decided by which claim you mark authoritative, not louder marketing copy.
- Crescive audits your own claims for conflicts across pages, drafts aligned fixes behind an approval gate, and proves the change in AI answers.
FAQ
Why do AI assistants sometimes contradict a brand's own pricing page?
AI assistants pull from every public page a brand publishes, including help center articles, changelogs, and community answers, not just the marketing pricing page. When those sources state different things about the same fact, such as seat limits, the model picks one answer and states it confidently. It has no way to know which page the brand considers authoritative, so a support doc can easily override the pricing page in the answer a buyer receives.
How does Crescive catch contradictions between marketing and support content?
Crescive scans all of a brand's public surfaces and compares its claims against each other, flagging where the pricing page, help center, changelog, and community content disagree about the same fact. It shows which version an AI assistant currently favors, drafts a consistent fix aligned to the claim the brand marks as authoritative behind a human approval gate, and then re-tests the assistants to prove the contradiction is resolved.