A lightweight CRM brand noticed its citation share was zero on the single highest-intent query cluster in its market: “best CRM for small business.” Source flagged the gap, Solve drafted a landing page against it the same day, and within a few weeks the brand went from uncited to the top-cited answer on that query across two of the three platforms tracked.
The signal
Source’s AI Answer Researcher ran the brand’s standard query set across Claude, Gemini, and ChatGPT. One cluster, “best CRM for small business” and its variants (“CRM for small teams,” “simplest CRM”), came back with zero citations for the brand, while HubSpot and Pipedrive were cited in nearly every answer.
The draft
- Solve pulled the signal along with the competitor language the models were already citing
- It drafted the landing page answer-first: “The CRM your team will actually use.” as the h1, with the core claim, set up in an afternoon, no admin required, in the first two sentences
- The draft linked out to a “Loop vs HubSpot” comparison page and a pricing explainer, both cluster pieces already in the content graph, because comparison queries carry the strongest switching intent
The result
| Metric | Before | After 3 weeks |
|---|---|---|
| Citations on this query cluster | 0 | 12 |
| Brand visibility (this cluster) | 0% | 41% |
| Ranking vs. named competitors | Not cited | #1 |
Full instrumentation for a case study like this lives in Operate, visibility and ranking, tracked automatically, not stitched together after the fact.