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Content quality and E-E-A-T analysis with AI citation readiness assessment.
Passed 18 of 22 test cases with the skill, and 10 of 22 without it.
and 8 more in the full report
9 fixed9 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
What underlying AI model family powers Google AI Mode's conversational search interface following Google I/O 2026 updates?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies Gemini 3.5 Flash as the model powering Google AI Mode. | Missed | Passed |
The instructions your model reads when the skill loads.
Before scoring E-E-A-T sub-factors, every page audit should pass Google's own three-question heuristic from the helpful-content guide:
| Question | What to look for |
|---|---|
| Who created it? | Visible byline, author bio page, professional credentials. Required where readers expect it; non-negotiable for YMYL. |
| How was it created? | Process disclosure where readers would reasonably ask — especially for AI-assisted content. Original research / first-hand evidence / lived experience. |
| Why does it exist? | "To help people" rather than "to attract search clicks." Watch for niche entry without expertise, content churn for freshness signals, content written to a word-count target. |
Primary source: https://developers.google.com/search/docs/fundamentals/creating-helpful-content
When all three answers are weak, the page is at risk under the core ranking system's helpfulness signals (formerly the standalone Helpful Content System, merged into core during the March 2024 update).
Read skills/seo/references/eeat-framework.md for full criteria.
test cases passed, vs 10 / 22 without
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