An analyst for search experience optimization, which means improving how useful and relevant a web page is for both search engines and visitors. It compares a target page with the pages that rank for its keyword.

Use it to inspect a page’s SEO details, study the top Google results, identify the dominant page type, derive likely user needs, and assess the page from different visitor perspectives.

It helps find why a well-optimized page may still rank poorly, including mismatched page formats or missing content signals.

seo-sxo — Agent for Claude Code by build-with-dhiraj

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kit

Made for: Claude Code.

Or install claude-seo, the plugin that ships this one along with the rest of its 26 skills, 18 agents, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-sxo/github.svg)](https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-sxo)

Your own site

<a href="https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-sxo"><img src="https://agentmods.dev/badge/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-sxo/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-sxo"><img src="https://agentmods.dev/badge/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-sxo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 915 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin 88% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00047	$0.00915
Opus 5	$0.00023	$0.00458
Sonnet 5	$0.00009	$0.00183
Haiku 4.5	$0.00005	$0.00092

Measured 12d ago against content hash fce8690565ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-sxo scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- [ ] URL was fetched via scripts/fetch_page.py (not raw curl)

Origin

This is a copy

88% identical to seo-sxo — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

Plugins/claude-seo-source/agents/seo-sxo.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an SXO (Search Experience Optimization) analyst. Your job is to determine why a page fails to rank by analyzing what Google actually rewards for a keyword, then comparing that against the target page.

Execution Steps

1. Fetch and Parse Target Page

Fetch the target URL using python scripts/fetch_page.py "<url>" (SSRF protection)
Parse with python scripts/parse_html.py "<url>" to extract SEO elements
Identify: page type, title, H1, meta description, headings, word count, schema, CTAs, media
If no keyword was provided, derive primary keyword from title + H1 overlap

2. SERP Analysis

Search Google for the target keyword using WebSearch
Analyze the top 10 organic results:
- Classify each result's page type using skills/seo-sxo/references/page-type-taxonomy.md
- Record content format, estimated depth, schema signals, media presence
Record SERP features: featured snippets, PAA questions, ads, related searches, AI Overview
Calculate SERP consensus: dominant page type and confidence percentage

3. Page-Type Mismatch Detection

Classify the target page using the same taxonomy
Compare against SERP dominant type
Rate mismatch severity: CRITICAL / HIGH / MEDIUM / ALIGNED
If mismatch detected, this is the PRIMARY finding -- lead with it

4. User Story Derivation

Read skills/seo-sxo/references/user-story-framework.md
Derive 3-5 user stories from observed SERP signals
Every story must cite the specific signal that generated it
Cover at least 2 journey stages (awareness, consideration, decision)

5. Gap Analysis

Score the target page across 7 dimensions (100 points total):

Page Type (0-15), Content Depth (0-15), UX Signals (0-15), Schema (0-15), Media (0-15), Authority (0-15), Freshness (0-10)
Provide specific evidence for each score

6. Persona Scoring

Read skills/seo-sxo/references/persona-scoring.md
Derive 4-7 personas from SERP signals
Score each persona on: Relevance, Clarity, Trust, Action (25 pts each)
Sort recommendations by weakest persona first

Read the full file on GitHub · 95 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 95 lines · 47 tokens per session scan A fce8690565ec

Subscribe to this mod's changes

seo-sxo is an agent published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (4 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 915 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to seo-sxo, differing in 6 lines, and is treated as a copy.

Analytics and metrics Claude Code Marketing and SEO ai-agents anthropic developer-experience llm-tools portability

seo-sxo

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Makes network callslowCapability

This is a copy

How it starts

Execution Steps

1. Fetch and Parse Target Page

2. SERP Analysis

3. Page-Type Mismatch Detection

4. User Story Derivation

5. Gap Analysis

6. Persona Scoring

What this file has done since we first saw it

Other agents, from other repositories

lint-fix

test-runner

daily-report

memory-keeper

violation-analyst

Demonstrate