Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Thibaultbm/claude-seo-geonpx agentmods add skills/thibaultbm/claude-seo-geo/seo-content-product-pageWrote 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.
[](https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-content-product-page)<a href="https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-content-product-page"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-content-product-page/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.
<a href="https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-content-product-page"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-content-product-page.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00220 | $0.09345 |
| Opus 5.5 | $0.00088 | $0.03738 |
| Sonnet 5.5 | $0.00044 | $0.01869 |
| Haiku 4.5 | $0.00022 | $0.00934 |
Grade A, and why
seo-content-product-page 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 13d 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.
| PDP-15 | Price as HTML text | Price and currency in the buy box as text in the server HTML, not in an image or injected by JavaScript; identical to the Offer markup | section_audit price_in_text, likely_js_rendered, cu How it starts
The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Page SEO and GEO
A product page (PDP) has two jobs: win the transactional query ("buy X", "X price", the product name) in Google, and be the page an AI assistant quotes when it recommends where to buy. Most PDPs fail both the same way: the manufacturer description every reseller also publishes, supplier photos, a price and reviews injected by JavaScript, a rating buried at the bottom, and markup that contradicts the page. Nothing on the page is unique, so Google picks a stronger domain and the assistant fills the gaps from a competitor.
This skill runs the four phases of the page skill standard (docs/page-skill-standard.md): spec, audit, benchmark, build. Rules come from 115+ real agency audits (labeled field heuristics) combined with sourced 2026 practices (labeled measured or documented, with the source).
Company knowledge first (Obsidian)
If the working environment contains an Obsidian vault or any local knowledge base (a folder of .md notes, often with a .obsidian directory), read the relevant notes before acting: brand and product facts, target keywords, competitors, and the SEO action log of what was already tried. Ground every recommendation in that context instead of asking the user for facts the vault already holds. At the end of the session, append the actions taken to the vault's SEO action log so the next session starts informed.
When to use
- Writing or rewriting a product description or a full product page
- Auditing a PDP with no rankings, no traffic, or traffic without sales
- Getting products recommended by ChatGPT, Perplexity, Claude, Gemini or Google AI Overviews
- Handling out-of-stock, seasonal, discontinued or variant product URLs
- Reviewing PDP titles, H1s, slugs, meta descriptions, images, reviews, trust badges or Product schema
- Any storefront: Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, Wix, Webflow Ecommerce, custom
| Case | Skill |
|---|---|
| Category, collection or listing pages (PLPs) | seo-content-collection-page |
| Service or offer pages outside e-commerce | seo-content-service-page |
| "X vs Y", alternatives and best-for pages | seo-content-comparison-page |
| Supporting blog content for a product | seo-content-blog |
| Keyword and intent mapping | seo-keyword-research |
| Whole-site audit | seo-geo-audit |
| Rendering, crawl access, AI crawler behavior, image weight | seo-technical |
| JSON-LD implementation details | seo-schema-markup |
| Passage-level citability writing | geo-visibility |
| Measuring AI citations and referrals | geo-tracking |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago Changed 588dfacbe086
- 18d ago Changed · +91 lines · +96 tokens per session 18eb081495d9
- 1mo ago First seen · 306 lines · 124 tokens per session scan A 693d53ebb7d3
seo-content-product-page is a skill published in the GitHub repository Thibaultbm/claude-seo-geo (17 stars, last pushed 2d ago), licensed MIT. It adds 220 tokens to every session and 9,345 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
found-by-ai
Measure whether AI engines actually recommend a business when buyers ask. Runs the free live scan at areyoufoundbyai.com (no auth, 60s), reads the verdict and the rivals AI names instead, hands back the fix plan, and wires monitored sites into a fix-and-re-measure loop over MCP.
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
agent-readiness-scan
Use when a client audit, GEO/AI-visibility snapshot, or remediation re-scan needs the Cloudflare agent-readiness score from isitagentready.com, e.g. Theo client audits, "is the site agent-ready", markdown negotiation / MCP / llms.txt / Content-Signal checks, or tracking score deltas after Tier 0/1 fixes.