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AI Visibility Scorecard
next2025challenge.devpost.com · Technology
Somewhat visible. AI bots can read Google Cloud x MLB(TM) Hackathon – Building with Gemini Models, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 7 times
Claude · ChatGPT · Meta AI
#24,728 of 2,624,033 in Technology for AI visibility
7
/10
AEO Score
from our crawl and measurement
Google Cloud x MLB(TM) Hackathon Building with Gemini Models describes itself simply: "<h5 id=calling-all-devs-step-up-to-the-plate-and-knock-it-out-of-the-park>Calling all Devs: Step up to the plate and knock it out of the park! <img." Measured against the twelve signals AI engines rely on, it scores 7.0 out of 10, a strong showing.
Our crawl found structured data on the page (Event). It is missing an llms.txt file, a sitemap and a heading structure that lays out what it offers.
AI crawlers have visited 5 times in our tracking, including ClaudeBot (Anthropic), GPTBot (ChatGPT) and Meta AI.
Higher is better · 0-10
Structured Data
3
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
6
Clear headings and answer-style content.
Entity Clarity
4
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
4
Experience, Expertise, Authority, Trust markers.
Technical AEO
0
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
8
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
10
Inbound links from other sites.
Domain Trust
6
Established authority for your domain.
Entity Presence
10
Recognized in AI knowledge graphs.
News Mentions
1
Press and news coverage.
Community
8
Forum and community discussion.
8
Reddit mentions and discussion.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 7/10, Google Cloud x MLB(TM) Hackathon – Building with Gemini Models has a working base to build on - fixable, and the signals above are where to start.
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Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/next2025challenge-devpost
Cite this score: Engagemii (2026). "AEO Score for Google Cloud x MLB(TM) Hackathon – Building with Gemini Models." Retrieved from https://engagemii.com/aeo/brands/next2025challenge-devpost
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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