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Analyze LinkedIn profiles to score AI readiness with personalized recommendations. **Instantly see how AI-ready any LinkedIn profile is.** AgentAya's AI Readiness Scorer analyzes LinkedIn profiles and activity in real time, giving you a clear score out of 100 — so you can quickly understand someone's AI expertise, engagement, and potential. **How it works:** Visit any LinkedIn profile and AgentAya automatically scans their headline, experience, skills, education, and certifications to generate an AI Readiness Score. Navigate to their activity page and it analyzes their posts for AI-related content too. No clicks needed — results appear right on the page. **What you get:** - A score badge displayed directly on the profile, right next to their name - A detailed score breakdown across key categories (Headline, Experience, Skills, Education, and Overall) - AI keyword highlighting — relevant terms like "Machine Learning", "LLM", "Prompt Engineering" and more are visually highlighted across the profile - Strengths and personalized recommendations for improving AI readiness - A dedicated Content Score for activity pages, analyzing post depth, originality, and engagement with AI topics - A floating side panel with quick access to the full report **Built for recruiters, founders, investors, and anyone evaluating AI talent:** - Recruiters: Quickly assess candidates' AI capabilities beyond buzzwords - Founders & hiring managers: Identify team members ready to lead AI adoption - Investors: Evaluate leadership teams' AI fluency at a glance - Professionals: Benchmark your own AI presence and get actionable tips to stand out **Privacy-first approach:** AgentAya only reads publicly visible LinkedIn profile data. No data is stored on your device. Analysis is powered by AgentAya's secure backend — your browsing remains private. **Powered by AgentAya** — the multilingual AI tools discovery platform helping businesses find and adopt the right AI solutions. Learn more at agentaya.com
Mar 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.