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BuiltWith

What ChatGPT, Claude, Gemini & Grok actually say · September 2026

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The verdict

BuiltWith appears in 1 AI-ranked category — best position #2 for technographic enrichment apis for identifying website tech stacks.

Claude #2Gemini #1

Unmatched breadth and historical depth, maintaining the largest pre-computed database of web technologies across hundreds of millions of domains, including DNS, SSL, CDN, and framework footprints; assumes offline bulk domain enrichment matters more to the typical practitioner than real-time DOM execution.

Claude Deepest historical depth and breadth of any commercial provider — technology install/uninstall history, spend estimates, and lists/lead-gen filtering across ~50k+ technologies; the strongest choice when you need to build target lists ("who uses Shopify Plus") or track adoption trends over time rather than just enrich a single domain.

Where BuiltWith falls short, per the models

  • Claude Expensive at scale and its per-domain live accuracy can trail crawlers on fresh changes; overkill and pricey for someone who only needs occasional single-lookup enrichment.
  • Gemini Prone to stale "ghost" detections where abandoned tracking pixels or legacy script remnants persist as false positives, making it poorly suited for practitioners who require strictly verified real-time active usage without heavy data cleanup.

Top alternatives per the models: Wappalyzer · PredictLeads · HG Insights · Clearbit

Watch BuiltWith

Boards re-poll weekly and the models change their minds. One short email only when BuiltWith's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.

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BuiltWith ranks #2 for best technographic enrichment apis for identifying website tech stacks by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.

BuiltWith — ranked #2 for Best technographic enrichment APIs for identifying website tech stacks by AI models on ModelsAgree
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Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology