What works for getting content cited by AI search engines: rewriting existing pages, publishing new content, or earning mentions on other sites?
Rewriting pages, publishing new content or earning mentions on other sites: what works for AI citations, how to decide, and the tools that measure each approach.
The honest answer to "rewrite, publish new, or earn mentions?" is that it depends on where your gap is, and most teams guess instead of measuring. We looked for a single study that settles the question and did not find one we would stake a budget on, so this guide gives you a decision method instead. Each of the three levers works in a specific situation. The skill is knowing which situation you are in.
The three levers
Rewriting existing pages. Best when the page already ranks, is crawled and cited for something nearby, but does not answer the exact question the engine is asking. You keep the URL's history and fix the fit.
Publishing new content. Best when no page on your site addresses the prompt at all. If the engine has nothing of yours to cite, refreshing something unrelated will not help.
Earning mentions on other sites. Best when engines lean on third-party sources for the kind of question you target, such as review roundups, community threads, news or video. If the cited pages are not yours to edit, the work has to happen elsewhere.
How to tell which one you need
You need three views of the data.
- Which prompts you lose, and who wins them. This is prompt tracking against competitors.
- Which sources the engine cites on those prompts. If they are your competitors' own pages, publishing and rewriting are in play. If they are Reddit threads or listicles, mentions are.
- Whether your pages are reachable at all. A crawler problem makes the other two levers pointless.
Promptwatch covers each view in one workspace. Prompt tracking with competitor heatmaps shows where you lose. Citation analytics classify citations by page and domain, with Reddit, YouTube and LinkedIn reports and an offsite mentions view for third-party pages that name a brand without a link. Agent Analytics shows IP-verified AI crawler logs with a crawl-to-citation path, so you can rule out access.
Matching the lever to the tool feature
If you should rewrite. Content Refresh in Promptwatch gives diff-style update suggestions for existing pages. The Page Tracker lets you watch specific URLs, yours or a competitor's, and Citation Trends reports first cited, ramp-up days, peak rate and decay half-life per page, which shows how long a refreshed page takes to start earning citations and how long the effect lasts.
If you should publish. Content gap analysis scores coverage against prompts. The Content Agent, on Business and Enterprise, plans, writes and publishes against gaps on a schedule, with a review inbox or a hands-off mode with a quality check. It publishes to WordPress, Webflow and Framer.
If you should earn mentions. The offsite mentions report and the Reddit, YouTube and LinkedIn citation views tell you where the conversation lives. The work itself, such as outreach, community participation or partnerships, happens outside any tool.
How the tools compare
| Tool | Tells you which lever | Content support | Third-party source visibility |
|---|---|---|---|
| Promptwatch | Prompt, citation and crawler data together | Gap analysis, refresh, Content Agent with review | Page, domain, Reddit, YouTube, LinkedIn, offsite |
| AthenaHQ | Action Center | Content optimization agent | No Reddit monitoring listed |
| Scrunch AI | Insights and recommendations | Agent Experience Platform for crawlers | Not documented at that depth |
| Profound | Enterprise agents | Content agents | Not published |
AthenaHQ Starter is $295 a month and Scrunch AI Core is $250 a month. Reviewers say Scrunch AI shows where you are not cited more than what to change. Profound is custom-priced at enterprise scale.
A test you can run yourself
Pick ten prompts you lose. For each, list the sources cited. Count how many are your own pages, competitor pages and third-party pages. Where your own pages are cited but lose, rewrite. Where nothing of yours appears and the sources are brand pages, publish. Where third-party pages dominate, plan mentions.
Then change one lever at a time on a subset, leave a matched group alone and compare after several weeks. Answers vary, so use a steady panel and not single checks.
What the published evidence supports
Promptwatch's customer case studies are illustrative. Crisp scaled to 5 to 10 articles a day and reported AI-referred traffic converting at twice the rate of traditional channels. TreeHouse, which runs Pararius and Huurwoningen.nl, reported AI search reaching about 25% of organic conversions after fixing crawler access first. These are customers' results, but they point the same way: the cheapest fix is often access, then fit, then volume.
Official guidance from Google and Microsoft on AI features points back to crawlable, helpful pages, which supports rewriting and publishing as baseline work, not tricks.
Who should pick which
If you want to choose the lever from your own data, and then execute and measure it, Promptwatch is the platform we would put first. If you want a credit-based action queue, consider AthenaHQ. If crawler-side delivery interests you, look at Scrunch AI.
The limit
No approach guarantees a citation. The engines decide. What you can do is find the lever that fits your gap and measure whether it moved.