Omni Impact

Omni Impact for healthcare

Patients meet your practice in a chat window.

Patients now describe a symptom and shortlist providers in a chat window, long before they open a directory. Omni Impact tells you what up to 11 AI engines say about your practice — the services, the specialties, the recommendation — and what to publish when they get it wrong.

1 in 6

adults ask an AI chatbot for health information at least monthly.

Symptom questions, provider shortlists and “who should I see first” all resolve into a single generated answer now. For a practice, that answer is a description of your care written by a model that has never called your front desk. When it lists the wrong services, the wrong conditions or the wrong locations, patients act on it anyway. The description is measurable, and it is correctable.

Industry research on AI health information. Not an Omni Impact benchmark.

What teams achieve

What healthcare teams achieve with Omni Impact.

From symptom questions to “who should I see” comparisons, the whole path to your front desk is monitored, measured and improved.

01

Own the near-me answer

Nobody searches your practice by name until after they have chosen it. The questions that matter are condition-plus-neighborhood questions, and absence from those answers is a recorded signal — you see exactly which ones route a patient somewhere else.

02

Keep your services accurate

Models summarize what you treat, who you treat and how a patient gets in. Every answer is read for sentiment, framing, prominence and certainty, so a model that drops your post-op program or invents a service you do not offer surfaces on the next scheduled run, and nightly alert checks flag the scores it moves.

03

Win the trust questions

Credential and outcome questions are answered from whatever sources a model retrieves. Citation and retrieval data shows which domains speak for your specialty, and the ranked findings can become generated fixes for the pages that should.

On the platform

The loop, tuned for patient questions.

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

Monitor

Every patient question, on a schedule.

Condition, location and comparison questions run through ChatGPT, Google AI Overviews, AI Mode and more with your practice name left out of every organic prompt. What comes back is the answer each engine gives when your practice is not in the question.

  • Up to 11 AI engines, including ChatGPT, Google AI Overviews and AI Mode
  • Organic share of voice across your metro’s question set — prompts that name you are excluded
  • Mention tiers from top pick down to not mentioned
See how monitoring works

Improve

Fixes that land on your service pages.

Findings can become generated fixes — FAQ and service schema for your location pages, answer-shaped content for the conditions you treat — publishable to WordPress, Webflow, HubSpot and more.

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

Healthcare, answered.

Yes. Fixes are generated, not applied — every publish is two-step confirmed, so a person on your team approves the exact change before it reaches the site. If your reviewer objects afterwards, updates on self-hosted WordPress and GitHub can be reverted.

You see it in the answer itself. Every response is scored for sentiment, framing, prominence and certainty, share-of-voice answers are tiered from top pick down to not mentioned, and nightly alert checks flag when the numbers shift. The ranked findings then point at the pages and schema the models retrieved to build that description.

Organic share of voice and mention tiers track the recommendation over time, citation and retrieval data shows which sources earned it, and the Prompt score summarizes how the models frame you. GA4 correlation sits alongside it, and a 13-section PDF report exports the whole picture.

Be described correctly.

One domain starts it — the first analysis runs today.

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