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seo-sxo

seo-sxo

github.com/agricidanielMarketing & growth89472 installsUpdated 2w ago
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About seo-sxo

seo-sxo is a ChatGPT skill for diagnosing how a page or draft serves searchers’ tasks. It turns observed search and page evidence into sourced friction points, improvements, and a retest plan without inventing behavioral results.

Key features

  1. 01Classifies page tasks and search results
  2. 02Maps evidence to user stories
  3. 03Reviews content, trust, and navigation
  4. 04Connects frictions to specific fixes
  5. 05Defines retests with success criteria

Use cases

  1. 01Assess a page against observed search results
  2. 02Identify gaps in a search-to-task journey
  3. 03Plan a usability check for proposed changes

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/agricidaniel/chatgpt-seo --skill seo-sxo

After installing, type/seo-sxoin Claude Code to confirm it loaded.

Details

From the project README

Search experience

Input

A query/audience and page, plus observed search examples or funnel evidence if available.

Evidence and runtime

If a skill-resource reader fails to open a linked supporting file, try the available file or execution tool using the installed plugin root returned by the host or resolved from this skill's location. Do not hardcode a home folder, version, or working directory. Distinguish a failed reader call from an absent file, and files actually attempted from files not attempted. Report a resource as unavailable only after the supported access paths have failed. If no file or execution access is available, continue within the evidence you can read and state that limit.

Read the operating contract when this workflow is selected. Use runtime and data paths when choosing a tool or handling missing data. Recheck relevant search facts and primary sources before date-sensitive claims. For a quantitative diagnostic, read scoring; unavailable categories stay unknown.

Supporting resources

Read only the resources needed for the selected part of this task:

Workflow

  1. Classify the page's actual task and observed result types. Keep search sampling, locale and date explicit.
  2. Write concrete user stories from evidence: what a searcher needs to learn, compare, evaluate or do. Label inferred personas as hypotheses.
  3. Assess the first-screen promise, answer finding, navigation, decision information, trust evidence and task completion path.
  4. Use rendered and keyboard observations for interaction claims. A screenshot can reveal layout but not prove a form, checkout or accessibility works.
  5. Connect each friction point to an observed step and give a specific copy/layout/content improvement.
  6. Define a measurement or usability check with a success criterion. Keep any SXO rubric distinct from the SEO health score.

Deliverable

A search-to-task diagnosis, observed frictions, user-story improvements and an experiment/retest plan.

Boundary

Do not invent conversion rates, persona research, behavioral tests or a quantitative uplift.

Adapted from the public Claude SEO seo-sxo workflow.

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