3 items
See how often AI answer engines actually recommend your brand — and who's being recommended instead. By Arobis AI. Your buyers are building their shortlist inside AI — before they ever visit a website. They're asking ChatGPT, Perplexity, Gemini, Claude and Copilot "what's the best [category] tool?" and acting on the answer. If AI doesn't recommend you, you're losing demand before the buying journey ever reaches your site. Ranking on Google is no longer enough. Visibility gets you seen. Recommendations get you chosen. **Arobis Lens shows you the truth in seconds:** • **Recommendation Frequency** — how often AI answer engines actually recommend your brand • **Your AI Shortlist rank** — where you sit versus the competitors buyers are being sent to • **The Recommendation Gap** — exactly how far behind the leader you are • **Where you're invisible** — the buyer questions where you never show up at all • **Platform-by-platform** — your standing across ChatGPT, Perplexity, Gemini, Claude and Copilot Enter your brand and the category your buyers search for. Arobis Lens asks the AI engines what a real buyer would ask — and scores the answers. Then it hands you the next move: a full **AI Visibility Audit™** from Arobis AI, the AI Search Demand Generation firm that helps SaaS companies get recommended inside AI answers — not just measured. Because the companies AI recommends capture demand before their competitors even enter the conversation. **Built for** B2B SaaS founders, CEOs, CMOs, VPs of Marketing, Growth and Demand Generation leaders who can see AI reshaping how buyers choose. Free to install. Free to check.
Jul 29, 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.