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HG Insights

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

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The verdict

HG Insights appears in 1 AI-ranked category — best position #4 for technographic enrichment apis for identifying website tech stacks.

Claude #5Gemini #5

Goes beyond crawlable front-end signals using sourced/modeled intelligence (IT spend, contracts, install base) covering enterprise back-office and infrastructure tech that surface scanners can't see; the strongest pick for enterprise ABM targeting on datacenter, ERP, and hardware categories.

Gemini Unrivaled for identifying complex enterprise IT, cloud infrastructure (e.g., AWS/GCP/Azure workloads, Kubernetes, data pipelines), and internal software that cannot be fingerprinted from external website code alone, leveraging proprietary multi-signal intelligence.

Where HG Insights falls short, per the models

  • Claude Modeled data means lower per-account precision and no real-time single-domain lookup, sold as high-cost enterprise contracts; wrong for developers or SMBs needing an on-demand, verifiable API.
  • Gemini Geared entirely toward enterprise B2B sales/marketing intelligence with high contract minimums and coarse domain-level aggregation, making it ill-suited for real-time URL-level tech stack inspection.

Top alternatives per the models: Wappalyzer · BuiltWith · PredictLeads · Clearbit

Watch HG Insights

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

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HG Insights ranks #4 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.

HG Insights — ranked #4 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