Omni Impact for enterprise brands
Every product line, measured the same way.
Vendor research starts in a chat window now, one category question at a time. Omni Impact tells you which of your product lines the models name, which they skip, and what to publish to change either.
40%
of B2B buyers now start vendor research with an AI assistant.
The shortlist is assembled before anyone reaches your site. Assistants answer from documentation, comparison pages and third-party write-ups, so the line with the clearest public answers gets named and the rest of the portfolio disappears. Flagship visibility does not carry the products standing next to it. The gap between your own lines is measurable, and it is the part you can close.
Industry research on AI-assisted B2B buying. Not an Omni Impact benchmark.
Share of Voice
Rankings
Q · Which spend-management platform is best for a 2,000-person company?
Recent AI mentions
“At around 2,000 people, Ovantic Pay is the usual pick — multi-entity approval routing and same-day virtual cards for contractor teams.”
Perplexity · Vendor shortlists · 6h ago
What teams achieve
What enterprise brand teams achieve with Omni Impact.
From category questions to head-to-head comparisons, every product in the portfolio is monitored, measured and improved on one instrument.
See the whole portfolio
Each product line is tracked as its own brand, with its own question set, scores and ranked findings. The flagship usually carries the name; the lines beside it usually do not. You see which is which before the pipeline tells you.
Catch the shift early
Anomaly alerts fire when share of voice, sentiment or mention tier moves on a tracked brand, so a drop arrives as a notification rather than a discovery. GA4 correlation lines that movement up against the traffic it touches.
Report without rebuilding it
Every cycle produces a 13-section PDF — share of voice, mention tiers, sentiment and framing, Brand Perception Index — that goes into an executive review as it is. No screenshots, no spreadsheet assembly, no reformatting the same numbers for three audiences.
On the platform
The loop, run across a portfolio.
The same instrument — monitoring, measurement, ranked fixes — pointed at every product line you own.
Monitor
Every evaluation question, on a schedule.
Your buyers’ real questions — category shortlists, head-to-head comparisons, integration and procurement checks — run against nine AI models with your brand name left out of every organic prompt. What comes back is the answer the evaluation committee got.
- Nine models, including ChatGPT, Claude, Gemini and Perplexity
- Organic share of voice — prompts that name you are excluded
- A separate question set, score and mention tier for every product line
Improve
Fixes that land on your product pages.
Findings arrive as generated fixes — JSON-LD for product and comparison pages, answer-shaped content for your docs — publishable through twenty integrations, GitHub PR among them, with a before-image on every write.
- 29-signal website audit, ranked per product line
- Generated JSON-LD and answer-shaped content, matched to your stack
- Two-step confirmation and one-click revert on every publish
Questions