Service
AI Source Gap Analysis
Discover which third-party sources support the competitors AI recommends, and which of them have no record of your business at all.
The problem this addresses
Competitors keep appearing in AI answers and nobody can tell you why. Publishing more blog posts has not changed it.
When an AI assistant recommends a business, it is usually drawing on an evidence ecosystem: directory profiles, association listings, review platforms, local press, industry publications, forum discussion, and pages on sites nobody in your company has heard of.
We collect the sources cited across the measured answers, work out which ones repeatedly support the businesses being recommended, and compare that set against where your business currently appears. The gap between those two lists is the most actionable thing in the entire engagement.
The point is to stop guessing. Instead of producing content on the theory that volume helps, you get a ranked list of specific, named sources where the businesses AI already trusts are present and you are not.
What it includes
- Citation and domain extraction from the measured answers
- Frequency analysis — which sources influence recommendations repeatedly, not once
- Competitor presence mapping per source
- Your presence, or absence, on each
- Authority, geographic relevance and industry relevance assessment
- A ranked opportunity list with a recommended action per source
What you receive
An AI Source Gap Report: one row per source, showing which competitors appear on it, whether you do, how relevant it is to your market and category, and what specifically to do about it.
What this does not do
Some gaps cannot be closed, or should not be. Editorial coverage cannot be bought, some directories are worthless, and a few sources are not worth the effort. The report says so rather than padding the list.
How this is measured
Every service sits inside the same measurement loop. Work is proposed from recorded evidence, and its effect is assessed by re-running the identical benchmark rather than by asserting that it must have helped.
Usually paired with
AI Recommendation Baseline →
Find out whether AI assistants currently recommend your business, who they recommend instead, and which sources they relied on to decide.
Entity Authority Optimization →
Make your business consistently understood across the web — one name, one location, one set of services, everywhere a system might look.
Every engagement starts with a measurement
Tell us about your business and we will establish where you currently stand.