AB seo-geo-optimizer
Optimize any website for SEO and GEO (AI search engines) — keyword strategy and clustering, site architecture and multilingual URL structure, page-level on-page SEO, AI-citation-ready content, topical-authority planning, internal linking, and structured-data schema (FAQPage, HowTo, LocalBusiness, Service). USE THIS SKILL whenever the user wants to audit, plan, or rewrite SEO/GEO assets, choose keywords, structure a site, write title tags and meta descriptions, add schema, or make content citable by AI search. Ties every recommendation to traffic quality, rankings, AI-citation potential, or conversion. Reads the project's market-profile for positioning, audience, and language.
Optimize any website for SEO and GEO (AI search engines) — keyword strategy and clustering, site architecture and multilingual URL structure, page-level…
As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 65/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 22 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1676 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 684: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 22 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.