Omni Impact

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.

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.

01

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.

02

Catch the shift early

Nightly alert checks flag when share of voice, rank or visibility scores move 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.

03

Report without rebuilding it

Every cycle produces a 13-section PDF — share of voice, mention tiers, sentiment and framing, Prompt score — 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 through ChatGPT, Google AI Overviews, AI Mode and more with your brand name left out of every organic prompt. What comes back is the answer each engine gives when your brand is not in the question.

  • Up to 11 AI engines, including ChatGPT, Google AI Overviews and AI Mode
  • Organic share of voice — prompts that name you are excluded
  • A separate question set, score and mention tier for every product line
See how monitoring works

Improve

Fixes that land on your product pages.

Findings can become generated fixes — JSON-LD for product and comparison pages, answer-shaped content for your docs — publishable to Contentful, WordPress and more, or as a GitHub pull request.

  • 29-signal website audit, ranked per product line
  • Generated JSON-LD and answer-shaped content, matched to your stack
  • Two-step confirmation on every publish; updates can be reverted on self-hosted WordPress and GitHub
See how fixes ship

Questions

Enterprise, answered.

Enterprise tracks each line as its own brand, with its own question set, scores, mention tiers and ranked fixes, so the teams behind them are not reading one blended number. Isolated workspaces and a portfolio view keep the whole account together — talk to us.

Every cycle produces a 13-section PDF report covering share of voice, mention tiers, sentiment and framing, Prompt score and source influence. It is written to be read by people who never open the platform, and GA4 correlation puts the movement next to the traffic it touches.

No. Every publish is two-step confirmed, and the integrations include GitHub PR — so a fix can enter your normal review path instead of going live behind it. On self-hosted WordPress and GitHub, updates can be reverted.

Measure the portfolio.

Add one product line’s domain — the first analysis runs today.

Get started