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System for collecting user feedback in Rubin documentationGitHubDownloadCommitPull requestBranchTagVersionsEditDownLeftRightUpLawMenuDownloadEditSidebar rightSidebar leftVersionsMortar boardClose
What this score means
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. System for collecting user feedback in Rubin documentationGitHubDownloadCommitPull requestBranchTagVersionsEditDownLeftRightUpLawMenuDownloadEditSidebar rightSidebar leftVersionsMortar boardClose just got measured.
4/10 means System for collecting user feedback in Rubin documentationGitHubDownloadCommitPull requestBranchTagVersionsEditDownLeftRightUpLawMenuDownloadEditSidebar rightSidebar leftVersionsMortar boardClose is borderline visible. AI bots can crawl your site but your structured-data signals are thin. You are at risk of being skipped when buyers ask AI for a recommendation.
About System for collecting user feedback in Rubin documentationGitHubDownloadCommitPull requestBranchTagVersionsEditDownLeftRightUpLawMenuDownloadEditSidebar rightSidebar leftVersionsMortar boardClose
A straightforward way to determine the effectiveness of documentation, and determine ways to improve that documentation, is to let our users tell us. This technote describes the architecture for a system for collecting feedback such as ratings and comments from Sphinx/Documenteer documentation sites published on lsst.io and storing that feedback for subsequent querying in Sasquatch/InfluxDB. Ook, the documentation librarian service, serves as an intermediary for safely receiving feedback submissions.
Key Topics
Details
Category: Technology
sqr-090.lsst.ioAI Visibility Breakdown
1
Structured Data
8
Content Structure
5
Entity Clarity
3
E-E-A-T Signals
6
Technical AEO
2
AI Discoverability
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Source & Attribution
Scored by Engagemii on June 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/sqr-090-lsst-io
Cite this score: Engagemii (2026). "AEO Score for System for collecting user feedback in Rubin documentationGitHubDownloadCommitPull requestBranchTagVersionsEditDownLeftRightUpLawMenuDownloadEditSidebar rightSidebar leftVersionsMortar boardClose." Retrieved from https://engagemii.com/aeo/brands/sqr-090-lsst-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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