For sales and marketing teams prospecting by tech stack, BuiltWith is a website-technology profiler that identifies which tools, frameworks, and analytics platforms any site runs, then turns that into lead lists of companies using specific technologies.
Presence & Market Position
#23 of 113
GTM Developer Tools
▼ 5 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
BuiltWith works to hold the technographic layer of the GTM data stack, the reference point for what a website actually runs, and it has recently extended from pure stack detection toward company-identity data, with moves into VAT and registration lookups and AI-readiness scoring for websites. The conversation around outbound systems treats it as established infrastructure. It shows up inside nearly every technographic-signal breakdown, gets named alongside enrichment and orchestration tools in stack build-outs, and anchors tech-stack-displacement plays. Practitioners reference it as a default layer in the data stack rather than something still being proven out.
LeadMagic
Icypeas
PredictLeads
Findymail
TheirStackMouseflow, Listrak, Pearl Lemon, Carted
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Business Profile
BuiltWith started in 2007 as a side project built by Gary Brewer to identify the technology behind any website, run in spare evenings before Andrew Rogers joined as co-founder a few years later. The company has stayed self-funded and deliberately small, based in Sydney and run today by a team of four, reporting $31 million in revenue for 2026. That combination, a lean team supporting a widely used prospecting and technographic-data product, has become part of BuiltWith's own story, cited often as an example of how far a bootstrapped, tightly run software business can scale.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
BuiltWith ships its technographic lookups through an API, MCP server, and SDK, positioning the data as something an agent can query directly rather than a report a person reads. It has also turned that profiling method outward, scoring websites on AI Maturity, Openness, Agent Readiness, and Visibility as a shipped feature. Both moves treat machine-readable access, to its own data and to how ready a site is for agents, as core to the product.
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