Technographic filtering exists in many data tools. What is usually missing is the exclusion, which is the half that qualifies. A list of everyone running a platform is a big list and an undifferentiated one. A list of everyone running the platform without the piece you sell is smaller, and every company on it has a specific reason to take the call.
Running it in Claude adds the step that normally requires a second tool: resolving the technology names before searching, so a typo does not silently return a plausible list built on a filter that never applied. That failure mode is quiet and expensive, because the output looks exactly like a successful search.
The reveal-by-field structure is what keeps this affordable at territory scale. You build the account list for one credit, qualify a shortlist on department headcount for one credit each, and only then spend on contact details for the accounts that survived both steps.
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FAQ
How do I find companies using a competitor’s product?
Filter by detected technology. The more useful version adds an exclusion: companies running one tool and not running another, which isolates the gap you sell into rather than returning everyone in the category. Resolve the exact technology names first, since a name that does not match the taxonomy filters nothing and returns a list that looks fine.
How many credits does a technographic search cost?
1 credit per batch of up to 25 companies. The exclusion costs nothing extra because it narrows a single search rather than running two. Revealing per-company fields such as department headcount or estimated IT spend costs 1 credit each, and contact details are separate again at 1 credit per email and 5 per phone.
Does technology detection mean they definitely use it?
Presence is strong evidence; absence is weaker. Detection reflects what is observable externally, so a company shown as running something almost certainly does. A company not shown as running it may still be running it privately or in one business unit. Use the exclusion to rank rather than to disqualify outright.
How do I know whether a company is big enough to need my product?
Reveal department headcount on the shortlist. Company size alone is a poor proxy — a 900-person business with four people in the function you sell to is a worse prospect than a 300-person one with thirty. At 1 credit per company this is the cheapest qualification step available, and it runs before any contact reveals.
Why did my technology search return nothing?
Almost always an unresolved technology name rather than an empty segment. Product names change, modules get rebranded, and the filter matches a controlled list. Confirm what each name resolved to before concluding the market is not there.
What should I do with the account list once I have it?
Qualify, then map, then reveal, in that order. Reveal department headcount to confirm the team exists, build the buying committee at the accounts that pass, and only then spend credits on contact details. Reversing the order means paying for contacts at companies you would have disqualified for a credit.
