Omni Impact

AI answer monitoring

Your buyers already asked. We track what AI answered.

We run the questions people actually type through ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity and Claude, depending on plan, with your brand name left out of every organic prompt. ChatGPT, AI Overviews, AI Mode and Gemini check every tracked prompt daily. What comes back is the answer each engine gives when your brand is not in the question.

Organic share of voice

Ask the question your buyer asks. Not the one that flatters you.

Put brand names in the prompt and the model will say them back. That is a mirror, not a measurement.

Brand-injected

All three get named. You learn nothing you did not already put in.

Organic

The model answers freely. Being left out is a result, and it counts.

3 brand names

Rank these brands: Paxora, Kestrow, Brellan Finance.

0 brand names

What's the best AP automation?

01

No brand injection

Prompts are written from your market category, never from a list of brands. Every name in the answer got there on its own merit.

Paxora
Kestrow
Brellan Finance
Never sent with the prompt
02

Tiered mention parsing

Each answer is graded, and the tiers are not worth the same. Being the top pick counts for fifteen times what a passing mention does.

Top pick 15
Recommended 8
Discussed 3
Mentioned 1
Not mentioned 0
Weight per mention
03

Statistical confidence

Each answer is a single sample, so the share of answers that mention you is shown with its sample size and, once enough distinct prompts have run, a 95% confidence interval. You can see how far one answer can move the number.

Each cell is one sampled answer

Prompt intelligence

Nine kinds of question. Every engine on your plan. Each on its own cadence.

Buyers do not ask one question. Coverage is graded across the whole intent spread, not just the prompt with your name in it.

ChatGPTWhich AP tools suit a multi-entity group?
PerplexityIs AI invoice capture as good as manual entry?
GeminiAP software that finance teams actually like
ClaudeWhich AP tools won't break our approval chain?
ChatGPTCheapest AP automation per invoice processed
PerplexityWhich vendors handle multi-currency payables?
GeminiCan AP automation replace manual three-way matching?
ClaudeMost recommended AP platforms for manufacturers
GeminiWhy do invoice approvals stall at month-end?
ChatGPTWhich AP vendors keep a real audit trail?
ClaudeIs per-invoice pricing worth it?
PerplexityAP platforms with no per-user fees
ChatGPTWhat's trending in finance automation?
GeminiHow many days should month-end close take?
PerplexityBest spend tools for a fast-growing team
ClaudeIs AP automation actually worth it?

Brand discovery

“Who makes AP automation for manufacturers?”

Recommendations

“Best AP automation for manufacturers?”

Comparisons

“Paxora vs Kestrow — which is better?”

Use case

“How do I approve bills across entities?”

Trust & authority

“Which AP platforms are independently audited?”

Pricing & buying

“What does AP automation cost per invoice?”

Industry landscape

“How is the AP automation market changing?”

Troubleshooting

“Why do our invoices keep failing to match?”

Listicle & roundup

“Best AP automation tools of the year”

Cadence by engine

ChatGPT, Google AI Overviews, AI Mode and Gemini check every tracked prompt daily; Perplexity and Claude run daily, weekly or monthly by engine and plan, faster on your daily prompts — so no single model’s mood becomes your score.

Engine Cadence Last check
ChatGPT Daily 06:02
AI Overviews Daily 06:04
AI Mode Daily 06:05
Gemini Daily 06:07
Perplexity By plan 06:12
Claude By plan 06:15

Example run

Starter 4
Pro 5
Premium 6

Freshness

Every stored answer keeps its timestamp and its source list, so you can tell a score built on this week’s answers from one built on last quarter’s.

  • ChatGPT Today, 06:02
  • AI Overviews Today, 06:04
  • Gemini Tue, 06:07
  • AI Mode Mon, 06:05
  • Perplexity Jul 14
  • Claude Jun 3
Today
This week
This month
Older

Source influence

Retrieved is not the same as cited.

A model can open your page and still not name it. The distance between those two is where the work is.

Retrieved
The model fetched the page while it was working out what to say.
Cited
The model named the page in the answer it gave.

85%

of brand mentions sit on domains a brand does not own — reviews, forums, roundups, comparison pages. Your own site is one voice in the room.

Industry research on AI answer citations. Not an Omni Impact benchmark.

Source influence

30 days
Domain Total Cited Retrieved
apreview.example 128 91 37
cfodesk.example 104 68 36
finopswire.example 87 71 16
paxora.example You 62 24 38
cfoforum.example 55 30 25
kestrow.example 41 27 14

Your own domain is retrieved more often than it is cited — the page is being read, then set aside.

Search Lenses

Native search is one retrieval path. Run the same prompt through two more.

Every model already retrieves in its own way when it answers. A lens reruns the identical prompt through Tavily or Exa instead, so independent retrieval sits right next to what native search already showed you.

What's the best AP automation?

Native
Each model answers with whatever retrieval it already does on its own — nothing added, nothing swapped.
Lens
The same prompt, re-run through Tavily or Exa instead of the model’s own search — set per prompt, not per account.
Tavily
Exa

Lens runs never change your scores — they sit beside them. Available as an add-on for Agency and Enterprise organizations.

Perception

Not just whether you are named. How you are framed.

Every answer is read for sentiment, prominence, certainty and the story the model is telling about you.

Up close

Four readings from the same set of answers.

Every run leaves a trail: how the score moved, how each kind of question frames you, which domains the models lean on, and where an answer got the facts wrong.

Aug 01 74
Jul 04 Jul 11 Jul 18 Jul 25 Aug 01

Watch the score move

Your visibility score is recomputed after every run and plotted across the window. Each point is a day of answers, so a fix you shipped on Tuesday shows up as movement rather than a hunch.

GoodNeutralBadRecommendationsComparisonsUse caseTrustPricing

How every answer frames you

Answers are read for sentiment and graded by the kind of question that produced them — recommendations, comparisons, use case, trust, pricing. The shape shows which questions you win and which ones leave you thin.

apdaily.example 146 citations
cfohub.example 133 citations
paxora.example You 128 citations
spendbrief.example 119 citations
apguide.example 104 citations

Who speaks for you

Every citation is traced to the domain that earned it and ranked by how often the models lean on it. Your own site sits in that list next to the reviews and roundups that outrank it.

Inaccurate claim

Paxora discontinued its multi-entity plan.

Seen in 3 of 41 answers this week

Ground truth

Multi-entity is core — on every plan, updated monthly, cited from paxora.example.

What the models get wrong

Models repeat details that are out of date — a line you never discontinued, a spec that was never yours. Each claim is checked against what your pages actually say, and the correction is filed next to it.

Know where you stand.

ChatGPT, Google AI Overviews and more. Your questions. No brand injection.

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