BenchRank
#30 in Product AnalyticsUpdated 2026-08

GazeHawk

by GazeHawk · Webcam eye tracking for web pages, adverts and images

BenchRank score

12.8 — BenchRank score out of 100

Screenshots of GazeHawk

Homepage · GazeHawk

Homepage of GazeHawk

Overview

GazeHawk runs eye-tracking studies using participants' ordinary webcams instead of dedicated hardware. You send a URL or an image to test, GazeHawk sends the link to its testers or you use your own testers with webcams, and results come back in a dashboard. The company describes the technology as patent-pending and proprietary.

Best for
Teams who want to see where visitors look on a web page, ad or image without lab hardware.
Pricing
No prices are shown in the captured text; the site links to a pricing and sign-up page and offers a quote on request.

Strengths and trade-offs

Strengths

  • Uses ordinary webcams, not dedicated eye-tracking hardware
  • Studies run remotely in testers' own homes
  • You can use GazeHawk's testers or supply your own
  • Results are returned in a dashboard

Trade-offs

  • Founders have joined Facebook and work on unrelated projects
  • Team is inviting suggestions on the product's future direction
  • No prices shown; you must sign up or request a quote
  • Site content dates to 2013

How GazeHawk markets itself

A structured read of the promise, proof and page design on GazeHawk’s captured homepage.

Homepage capture

“See where your users are looking.”

  • Angle: Outcome / benefit-led
  • Hero: Illustration

Pricing

Published plans and prices from GazeHawk’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

This doesn’t look right — report a problem with GazeHawk’s score

Where this comes from

The GazeHawk pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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