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Agentic Visibility Score
Measure and improve your product visibility for AI search
AVS analyzes individual e-commerce product pages to identify what may prevent AI platforms from understanding, comparing, and recommending your products. Get a product-level readiness score, uncover content and technical gaps, and receive prioritized recommendations to improve your AI visibility.
Hey Product Hunt 👋
We built Agentic Visibility Score (AVS) around a question we kept coming back to:
If a shopper asks an AI assistant what product to buy, is your product page giving that AI enough information to understand and recommend it?
Great SEO tools already exist, and a growing category of platforms tracks brand visibility across AI. But we saw an opportunity at the individual product/SKU level.
So we built AVS.
Give AVS an e-commerce product URL, and it analyzes the product's AI readiness across buyer-prompt coverage, product content, structured data, technical signals, imagery, and other recommendation-readiness factors.
You get a 0–100 AVS score, platform-specific readiness insights, gaps, and prioritized improvement recommendations.
One thing that's important to us: AVS does not claim that a high score guarantees an AI platform will recommend your product. The score measures how well prepared the product is against the signals AVS can evaluate.
This is also just Step 1 of what we're building. Next, we're working toward tracking actual AI visibility across prompts, competitors, and citations, followed by ongoing monitoring and business-impact measurement.
We'd love the Product Hunt community to try AVS with a real product page.
In particular, we'd love feedback on:
• Does the score make sense?
• Are the recommendations actionable?
• What would you want AVS to analyze next?
Thanks for checking it out! 🚀
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About Agentic Visibility Score on Product Hunt
“Measure and improve your product visibility for AI search”
Agentic Visibility Score was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #140 on the daily leaderboard. AVS analyzes individual e-commerce product pages to identify what may prevent AI platforms from understanding, comparing, and recommending your products. Get a product-level readiness score, uncover content and technical gaps, and receive prioritized recommendations to improve your AI visibility.
Agentic Visibility Score was featured in Analytics (173.8k followers), Artificial Intelligence (479.1k followers) and E-Commerce (41.9k followers) on Product Hunt. Together, these topics include over 158.6k products, making this a competitive space to launch in.
Who hunted Agentic Visibility Score?
Agentic Visibility Score was hunted by Richard George. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Agentic Visibility Score stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Richard George