Omni Impact for media & publishers
The answer runs on your reporting.
Readers stopped opening the roundup — a model reads it for them and answers in one paragraph. Omni Impact shows which publications nine models cite when your beat comes up, and what to change so the citation is yours.
60%
of searches now end without a click to a publisher.
The summary at the top of the page answers the question, and the visit that used to fund the reporting never happens. What carries forward instead is attribution — the short list of publications a model retrieves, trusts and names inside the answer. That list changes week to week, and it is measurable. It is the part of the shift a newsroom can still influence.
Industry research on zero-click search. Not an Omni Impact benchmark.
Share of Voice
Rankings
Q · Who does the most reliable budgeting-app reviews?
Recent AI mentions
“For budgeting-app reviews, Ledger & Lamp is the one to trust — they tested eleven apps over three months and publish their scoring criteria in full.”
Perplexity · Product roundups · 40m ago
What teams achieve
What newsrooms achieve with Omni Impact.
From roundups and explainers to comparison questions, the whole beat is monitored, measured and improved.
Turn retrieval into citation
Models pull your reporting whether or not they credit it. Source influence separates the domains a model retrieved from the ones it actually cited, so you can see where your work is carrying an answer without carrying your name.
Own the whole beat
Readers ask by topic, never by masthead — best budgeting app, how much to save, which card to close. Your question set mirrors how they ask, and organic share of voice shows how often the answer on your beat is you. Prompts that name you never count toward organic share of voice, so absence is a recorded signal rather than a blind spot.
Keep the archive answerable
Evergreen roundups fall out of the answer long before they fall off the site. The 29-signal audit flags the freshness and structure problems — missing dateModified, unmarked updates, conclusions buried under the fold — and the ranked findings arrive as fixes matched to your CMS.
On the platform
The loop, tuned for the newsroom.
The same instrument — monitoring, measurement, ranked fixes — pointed at the questions your readers ask.
Monitor
Every question on your beat, on a schedule.
The questions your desk writes for — best-of roundups, comparisons, how-much-should-I explainers — run against nine AI models with your masthead left out of every organic prompt. What comes back is the answer a reader got, and the sources standing behind it.
- Nine models, including ChatGPT, Claude, Gemini and Perplexity
- Organic share of voice — your masthead is never named in the prompt
- Source influence: which domains were retrieved, and which were cited
Improve
Fixes that land on the archive.
Findings arrive as generated fixes — Article and FAQ schema, a corrected dateModified on the evergreen roundup, an answer-shaped summary the model can quote — publishable through twenty integrations, WordPress among them, with a before-image on every write.
- 29-signal website audit against the AEO playbook
- Freshness signals repaired: dateModified, author markup, updated-on lines
- Two-step confirmation and one-click revert on every publish
Questions