Omni Impact

Omni Impact for commerce & retail

Get named when the shortlist forms.

Product research now starts with a question and ends with three or four product names, chosen and described by a model. Omni Impact tells you whether yours is one of them, how it is described, and what to publish when it is missing.

Half

of shoppers say they have asked an AI what to buy.

Consideration used to run through a search page and a category grid. It now runs through one answer that names a handful of products and explains why. Retailers whose product pages, specs and reviews the models can retrieve and trust get named in that answer; everyone else loses the shopper before the shelf. The selection is measurable, and it moves.

Industry research on AI-assisted shopping. Not an Omni Impact benchmark.

What teams achieve

What retail brands achieve with Omni Impact.

From the first best-of question to the last comparison before checkout, the whole buying path is monitored, measured and improved.

01

Cover the whole product question

Shoppers ask for the best shoe under $150, then whether it runs narrow, then how it compares to the pair a friend owns. Your question set covers all three shapes — best-of, sizing, head-to-head — with your brand name left out of every organic prompt, so what comes back is the shortlist each engine gives when your brand is not in the question.

02

Catch the wrong spec early

Every answer is read for sentiment, framing, prominence and certainty: durable or disposable, premium or overpriced, recommended outright or hedged. When a model attaches a stale price band or a discontinued spec to your product, it surfaces on the next scheduled run, and nightly alert checks flag the scores it moves.

03

Earn the roundup citation

Product answers lean hard on roundups, buying guides and review sites. Citation vs retrieval shows which of those domains the models actually pulled for your category, and ranked findings can become generated fixes — product schema, comparison content — aimed at earning the next citation.

On the platform

The loop, tuned for retail.

The same instrument — monitoring, measurement, ranked fixes — pointed at the questions shoppers ask before they buy.

Monitor

Every buying question, on a schedule.

Your shoppers’ real questions — best-of lists, sizing, head-to-head comparisons — run through ChatGPT, Google AI Overviews, AI Mode and more with your brand name left out of every organic prompt. Absence is not a blank; it is a recorded signal you can watch move.

  • Up to 11 AI engines, including ChatGPT, Google AI Overviews and AI Mode
  • Organic share of voice across best-of, sizing and comparison prompts
  • Mention tiers from top pick down to not mentioned
See how monitoring works

Improve

Fixes that go straight to your site.

Findings can become generated fixes — product and FAQ schema for your PDPs, answer-shaped sizing and comparison content for your guides — publishable to WordPress, GitHub and more.

  • 29-signal website audit against the AEO playbook
  • Generated JSON-LD and 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

Commerce & retail, answered.

It shows up in the sources. Citation vs retrieval reports which domains the models actually retrieved and cited for your category — your own product pages, partner listings, roundups and review sites — so you can see who is speaking for your product. Fixes publish to the properties you control; for the rest, the citation data shows exactly which pages are carrying the answer.

Each self-serve plan tracks one brand end-to-end. House-of-brands teams get isolated client workspaces and a portfolio view on Enterprise — talk to us.

The crawl and the 29-signal audit finish in the first session, so ranked fixes exist on day one. Share of voice and mention tiers fill in as the first execution cycle completes across the models on your plan, and nightly alert checks flag sudden swings in the numbers as the season turns.

Own the shortlist.

Add your store’s domain — the first analysis runs today.

Get started