Who it's for
Digital agencies, local media companies selling digital services, and marketing services resellers working the small business tier. It is aimed squarely at the seller who needs a reason to call a business that has never advertised.
What it sets out to do
To convert a public digital footprint into a diagnosis. The platform examines a small business's website, mobile performance, search visibility, listings and citations, review profile, social presence and advertising activity, scores each area, and translates weak scores into recommended services with talking points attached. More recent versions lean heavily on generated pitch content built from that audit.
Where the data comes from
Public web signals, gathered by crawling: the business's own site, search results, business listing directories, review platforms, social profiles and observable ad presence, combined with licensed firmographic data to identify and classify the business.
Nothing here is proprietary in the way a survey panel is. The value is assembly speed, not exclusive access — which is worth being clear-eyed about when weighing the cost.
When it's current, and when it goes stale
Audits are generated on demand and reflect the moment they run, so currency is not really the issue. The issue is the opposite: a snapshot can misread a business that is mid-redesign or seasonally quiet.
Scores also drift as the scoring model changes, so a score from a year ago is not comparable to one generated today. Re-run rather than reuse.
Why it matters
It solves the cold-open problem. Walking in with a specific, verifiable observation — the site fails on mobile, the listing has the wrong hours, there are eleven unanswered reviews — is a materially different conversation from asking whether they have considered advertising. For a media company adding digital services, it also creates a repeatable qualification process that does not depend on the individual rep's technical knowledge.
The corresponding risk is tone. An automated audit that leads with everything wrong reads as a lecture, and a small business owner who has heard the same pitch from four vendors this quarter will recognize the format. The diagnosis is a starting point for a conversation, not the conversation.
When updates land
- Audits — generated on demand, reflecting current public signals.
- Firmographic data — refreshed on the licensed provider's cycle.
- Scoring models and product features — revised periodically by the vendor.
How it gets compiled
The platform resolves a business to a record, crawls its associated public properties, runs a battery of technical and presence checks, weights the results into category scores and a composite, then maps deficiencies to a service catalogue and generates recommended messaging. It is a rules engine over public data with a generation layer on top.