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Optimize content to rank in AI search engines (AI Overviews, Perplexity, ChatGPT) via generative engine optimization (GEO), citability audits, and schema markup.
Passed 14 of 22 test cases with the skill, and 8 of 22 without it.
and 3 more in the full report
6 fixed8 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Just draft it: Formulate an attributed statistic pattern for our cybersecurity report benchmark showing that 68% of breaches involve human error.
| Checked | Without skill | With skill |
|---|---|---|
| Includes both the named source organization and publication year in the statistic block. | Missed | Passed |
| Includes specific numerical or percentage data. | Passed | Passed |
The instructions your model reads when the skill loads.
Generative engine optimization (GEO) for getting cited by AI search platforms — not just ranked in traditional results.
AI SEO, generative engine optimization, GEO, AI overviews, Google SGE, ChatGPT citations, Perplexity SEO, Claude citations, AI search optimization, semantic search, entity optimization, LLM visibility, AI-generated answers, structured data, schema markup, content extractability, AI citability, GPTBot, PerplexityBot, ClaudeBot, answer engine optimization
Before optimizing, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 8 / 22 without
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