Most sites do not have one version of their facts. They have several: the pricing page, last year's launch post, a comparison page written before the last release, a docs page nobody owns. Each was true when it was written. Together they disagree.
People reading your site usually land on one page and never see the conflict. An answer engine reads several at once and has to choose. That choice is where freshness conflicts cost you citations, and sometimes the truth.
What is a freshness conflict?
A freshness conflict is the same fact stated two ways on pages an answer engine can read, without a clear signal of which one is current.
The facts that conflict are the ones that change:
| Fact | Where the old version hides |
|---|---|
| Price and plan limits | Launch posts, comparison pages, review-site tabs |
| Supported platforms and integrations | Old docs, partner pages, feature tables |
| What the product does not do | "Coming soon" lines that shipped long ago |
| Company facts | Team size, location, funding, founder titles |
| Product names | Pages written before a rename |
A conflict does not need to be on your own site. A review site with last year's price and your pricing page with this year's are a conflict too. But the ones on your own site are the ones you can settle today.
How does a freshness conflict show up in an AI answer?
We have a clean example from our own workspace. On 2026-10-03 ChatGPT answered "Attensira vs Profound" three times. Every answer leaned on one page first: our own comparison page, written before AI crawler analytics shipped. Two of the three answers repeated its table, which marked crawler analytics as missing for us. At the same moment our crawler logs page and our documentation described the feature as live.
So the engine had two of our own pages disagreeing, and it picked the one that answered the question in the shape the buyer asked: a side-by-side comparison. Freshness lost to format.
The same answers show the other side. One of them repeated a "checked September 2026" note our comparison page carried beside competitor prices. A date written next to a fact travels with the fact. That is the behaviour you want for every fact that changes.
Why do answer engines pick the stale version?
Engines do not have a reliable way to know which of two pages is newer, and they are not trying to find out. They are trying to answer the question. That favours:
- The page whose shape matches the question. A comparison question pulls the comparison page, whatever its age.
- The version repeated in more places. If a stale fact was copied into three listicles and the new one lives only on your pricing page, the stale one has more votes.
- The page the engine already read. A page cited last month is a known source. A page published yesterday has not been read yet.
- The clearer sentence. A plain sentence beats a table cell, and a table cell beats a footnote.
Dates help only when they are visible and true. Google's own guidance on publication dates asks for a prominent, labelled date ("Published", "Last updated"), and for that date to match the one in the page's structured data. Engines that read the page see the same thing a person does: a date at the top or nothing.
How do you find freshness conflicts on your own site?
Work fact by fact, not page by page.
- List the facts that change. Prices, plan limits, supported engines or platforms, integrations, the things you do not do yet, team and company facts. Twenty facts is a lot.
- Search your own site for each. Use your site search, your repository, or a
site:search on Google. Include docs, blog, changelog, comparison pages and help articles. - Record every page that states the fact, and what it says.
- Mark the conflicts. A fact with more than one value is a conflict. A fact stated without a date on a page that will age is a future conflict.
- Check what the engines are quoting. Ask the questions buyers ask and read which of your pages the answers cite. A conflict on a page nobody cites can wait. A conflict on your most-cited page cannot.
The last step is what turns a long list into a short one. Of every page that states a fact, only a few are the ones the engines read.

