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Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword.
Passed 11 of 19 test cases with the skill, and 3 of 19 without it.
and 8 more in the full report
10 fixed3 passed either way8 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When generating an improved SOLL wireframe for a SaaS landing page targeting 'crm software', an editor suggests using placeholders like '[Insert call to action button here]'. Does this suggestion follow the required wireframing guidelines?
| Checked | Without skill | With skill |
|---|---|---|
| Rejects generic placeholder text for wireframe components. | Passed | Passed |
| Requires concrete placeholders specifying exact copy and target path details. | Missed | Passed |
The instructions your model reads when the skill loads.
SXO bridges the gap between SEO (what Google rewards) and UX (what users need). Traditional SEO audits check technical health. SXO asks: "Does this page deserve to rank for this keyword based on what Google is actually rewarding in the SERP?"
A page can score 95/100 on technical SEO and still fail to rank because it is the wrong page type for the keyword. If Google shows 8 product pages and 2 comparison pages for your keyword, your blog post will never break through -- no matter how well-optimized it is.
| Command | Purpose |
|---|---|
/seo sxo <url> | Full SXO analysis (auto-detect keyword from page) |
/seo sxo <url> <keyword> | Full SXO analysis for a specific keyword |
/seo sxo wireframe <url> | Generate IST/SOLL wireframe with concrete placeholders |
/seo sxo personas <url> | Persona-only scoring (skip SERP analysis) |
scripts/render_page.py --mode auto (SPA-aware and SSRF-safe)scripts/parse_html.py to extract: title, H1, meta description,
headings hierarchy, word count, schema markup, CTAs, media elementsRead references/page-type-taxonomy.md for classification rules.
test cases passed, vs 3 / 19 without
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