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Measure predicted human attention for display ads, placements, and webpages using Viomba’s AI eye-tracking models AI-powered human attention measurement for display advertising. AdSpector helps publishers, creative agencies, and media agencies evaluate how display ads and placements are likely to attract real human attention. Use AdSpector to see how your creatives appear on any website, analyze ad placements automatically, and generate predicted attention scores without installing pixels, tags, or server-side software. Powered by Viomba’s AI attention models, trained on more than a decade of empirical infrared eye-tracking data, AdSpector scores creatives and placements based on how they look in real browsing environments. What you can do with Viomba AdSpector Upload display ad creatives and test them on any webpage Analyze a page with one click Generate attention heatmaps and fogmaps for the visible viewport Automatically identify ad placements on a page Predict “human viewed / impressions” rates and compare them against market benchmarks Crawl and score multiple pages automatically Measure mobile layouts consistently with built-in device emulation Export results as CSV, Excel, or JSON AdSpector connects securely to Viomba’s servers and is MCP-tool ready, making it easy to integrate attention measurement into your production workflows. Try it for free. Affordable to use. Built for professional media and creative teams.
Jul 3, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.