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SEO and AI discovery (GEO) - schema, ChatGPT/Perplexity optimization
Passed 14 of 23 test cases with the skill, and 10 of 23 without it.
and 4 more in the full report
5 fixed9 passed either way8 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to display a key metric callout in an article with clear source attribution. What HTML structure and class names are used for stat callouts?
| Checked | Without skill | With skill |
|---|---|---|
| Uses a div container with class stat-box. | Missed | Passed |
| Includes a span element with class stat-number. | Missed | Passed |
| Includes a span element with class stat-source. | Missed | Passed |
The instructions your model reads when the skill loads.
For creating web content optimized for both traditional SEO and AI discovery (ChatGPT, Perplexity, Claude, Gemini).
Sources: GEO Complete Guide | AI Search SEO | LLM Optimization | Generative Engine Optimization
SEO gets clicks. GEO gets citations.
Traditional SEO optimizes for Google rankings. Generative Engine Optimization (GEO) optimizes for being cited by AI assistants. Modern content needs both:
AI traffic grew 1,200% between July 2024 and February 2025. Google's search share dropped below 90% for the first time in a decade. Optimize for both.
Write for humans, structure for machines.
AI systems prefer:
test cases passed, vs 10 / 23 without
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