REPOGEO REPORT · LITE
millionco/expect
Default branch main · commit 39e97500 · scanned 5/21/2026, 1:47:06 PM
GitHub: 3,480 stars · 154 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface millionco/expect, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Update repository topics to clarify AI agent testing focus
Why:
CURRENTagent, browser, expect, test
COPY-PASTE FIXai-agent-testing, browser-automation, qa-automation, playwright
- highreadme#2Strengthen README's opening statement to differentiate from generic tools
Why:
CURRENT**Expect** is a skill for testing your agent's code in a real browser.
COPY-PASTE FIX**Expect** is a skill for testing your AI agent's code in a real browser, *automatically generating tests from your changes*. Unlike traditional assertion libraries or generic browser testing frameworks, Expect gives your agent QA superpowers.
- mediumlicense#3Add license clarification to the README
Why:
COPY-PASTE FIX## License Expect is licensed under [Specify License Name(s) here, e.g., 'a custom license combining MIT and Apache-2.0']. Please refer to the `LICENSE` file in the repository for full details.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Playwright · recommended 2×
- Cypress · recommended 2×
- Selenium WebDriver · recommended 1×
- Puppeteer · recommended 1×
- TestCafe · recommended 1×
- CATEGORY QUERYHow to automatically test my AI agent's web application interactions in a real browser?you: not recommendedAI recommended (in order):
- Playwright
- Selenium WebDriver
- Cypress
- Puppeteer
- TestCafe
AI recommended 5 alternatives but never named millionco/expect. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a tool for autonomous browser-based QA that generates tests from code changes.you: not recommendedAI recommended (in order):
- Cypress
- GitHub Actions
- GitLab CI
- CircleCI
- Jenkins
- Playwright
- Testim.io
- Applitools Ultrafast Test Cloud
- Selenium
- Mabl
- Reflect
- Autify
AI recommended 12 alternatives but never named millionco/expect. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of millionco/expect?passAI named millionco/expect explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts millionco/expect in production, what risks or prerequisites should they evaluate first?passAI named millionco/expect explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo millionco/expect solve, and who is the primary audience?passAI named millionco/expect explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of millionco/expect. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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millionco/expect — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite