Omni Impact for SaaS

Win the comparison before the demo.

Software evaluation starts in a chat window now — the shortlist forms before anyone opens a pricing page. Omni Impact tells you how up to 11 AI engines answer the comparison questions in your category, and what to publish when the answer favors someone else.

Get started See the platform

Share of voice

30 days

project-management question set

11.3% +2.4 pts #3 of 5 brands

1 Palette Ops 18.4%

2 Northloop 14.1%

3 Cutline Studio You 11.3%

4 Loomcraft 8.2%

5 Tandem Deck 5.1%

1 in 2

software evaluations now include an AI assistant before the demo call.

The shortlist forms before a form is filled. A buyer asks which tool fits a team like theirs, gets three names with a reason attached to each, and books the demo from there. Products the models can retrieve — docs, changelogs, comparison pages they can parse and trust — end up on that list; everything else drops out of the evaluation before it starts. The decision moves one step earlier than your analytics can see it.

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

What teams achieve

What software teams achieve with Omni Impact.

From category questions to head-to-head comparisons, the whole evaluation is monitored, measured and improved.

Win the versus question

Comparison prompts decide shortlists — your product against the incumbent, against the free tier, against the one with the bigger marketing budget. Omni Impact runs those questions on a schedule and shows which tool the models name first, and on what grounds.

Correct the stale description

Models still describe products by the feature set they shipped two releases ago. Every answer is read for sentiment, framing, prominence and certainty, so when a model calls your integrations limited or prices you wrong, you see it on the next scheduled run.

Make your docs the source

Answers about software lean on documentation, changelogs and comparison pages. Source influence shows which domains the models actually retrieved and cited for your category, so you can tell whether your own docs are speaking for you or a three-year-old forum thread is.

On the platform

The loop, tuned for software.

The same instrument — monitoring, measurement, ranked fixes — pointed at the questions buyers ask before they ever book a demo.

Monitor

Every comparison question, on a schedule.

Your category’s real questions — best-for-my-team lists, “X vs Y”, migration and pricing questions — run through ChatGPT, Google AI Overviews, AI Mode and more with your product name left out of every organic prompt. What comes back is the answer each engine gives when your product is not in the question.

Up to 11 AI engines, including ChatGPT, Google AI Overviews and AI Mode
Organic share of voice on head-to-head prompts — any that name you are excluded
Mention tiers from top pick down to not mentioned

See how monitoring works

Improve

Fixes that arrive as a pull request.

Findings can become generated fixes — schema for your product and pricing pages, answer-shaped comparison and migration content — and land in your docs repo as a GitHub pull request, or in Webflow, WordPress and more.

29-signal website audit against the AEO playbook
Generated JSON-LD and content, matched to your stack — docs site included
Two-step confirmation on every publish; updates can be reverted on self-hosted WordPress and GitHub

See how fixes ship

Questions

SaaS, answered.

Yes. GitHub is one of the publishing integrations, so a generated fix arrives as a pull request against the repo behind your docs or marketing site — reviewed in the diff your team already reviews. Every publish is two-step confirmed. On self-hosted WordPress and GitHub, updates can be reverted.

Monitoring runs on a schedule, so a changed answer surfaces in the next execution cycle across the models on your plan, and nightly alert checks flag a sudden drop in the numbers. What you control is the supply: an updated changelog or comparison page is what gives the models something new to retrieve.

Each cycle produces a PDF report with thirteen sections — share of voice, mention tiers, sentiment and framing, source influence, the Prompt score and the ranked fix list. GA4 correlation sits alongside it, so movement in the answers can be read next to your own traffic.