A page-level analysis of how often a specific web page is cited or mentioned by AI-powered search tools. Generative Engine Optimization, or GEO, is the practice of improving content so systems such as Google AI Overviews, Perplexity, or ChatGPT are more likely to cite it.

Use it to review a target URL, compare its AI-search citation footprint with its important keywords, and get recommendations for making the page easier for AI systems to cite.

It shows where a page already appears in AI-search answers and where it is missing from answers it should support. This turns a broad AI-search concern into changes for one URL.

seo-geo — Skill for Claude Code by seranking

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.

Any agent

npx skills add seranking/seo-skills --skill seo-geo

Clone the repo

git clone --depth 1 https://github.com/seranking/seo-skills

Made for: Claude Code.

Or install seo-skills, the plugin that ships this one along with the rest of its 32 skills, 1 MCP server.

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/skills/seranking/seo-skills/seo-geo/github.svg)](https://agentmods.dev/skills/seranking/seo-skills/seo-geo)

Your own site

<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-geo"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-geo/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/skills/seranking/seo-skills/seo-geo"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-geo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,571 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found 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	$0.00128	$0.02571
Opus 5	$0.00064	$0.01286
Sonnet 5	$0.00026	$0.00514
Haiku 4.5	$0.00013	$0.00257

Measured 11d ago against content hash 353dfa52c109, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

seo-geo scanned grade A with 0 findings 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 11d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

seo-geo — 88% identical, 22 lines differ

skills/seo-geo/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Example output: examples/seo-geo-notion-share-pages-20260514/GEO.md

Page-Level GEO (Generative Engine Optimization)

For one URL, surface its AI-search citation footprint and recommend the page-level changes that would improve citability across AI Overview, Perplexity, ChatGPT, and other LLM-powered search engines. Different from the domain-level brand-vs-brand share-of-voice — this is page-level diagnosis.

Prerequisites

SE Ranking MCP server connected.
Claude's WebFetch tool available.
User provides: a target URL. Optional: target country (default us), specific keywords to focus on (defaults: the URL's top-5 traffic-weighted keywords from SE Ranking).

Process

Validate target & preflight. See skills/seo-firecrawl/references/preflight.md for the canonical 3-stage preflight (credit balance, Firecrawl availability, Google APIs). Skill-specific notes:
- Confirm URL is fetchable before continuing.
- Estimated SE Ranking cost for this skill: ~10–20 credits typical (URL keyword footprint, AIO presence + leaderboard for top 5 keywords).
- Firecrawl: optional, ~3 Firecrawl credits if available. When available, the JSON-LD parse in step 7 and the AI-protocol-files step 8 use it. Without it, those steps emit (skipped — Firecrawl not installed; install via extensions/firecrawl/install.sh) notes in GEO.md rather than failing the run. Pass --no-firecrawl to skip Firecrawl even when available (saves credits).
- Google APIs: not used.
URL keyword footprint DATA_getUrlOverviewWorldwide and DATA_getDomainKeywords (URL-filtered)
- Pull URL's overview (keywords, traffic).
- Pull all keywords the URL ranks for. Sort by traffic-weighted score.
- Take the top 5 as the GEO investigation set (or use user-supplied keywords).
AIO presence per keyword DATA_getAiOverview
- For each keyword, query AIO presence + citation list.
- Flag: AIO present? Is the candidate URL cited?
- Capture the AIO answer text — it tells you what passage shape Google's models prefer.

Read the full file on GitHub · 164 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.

11d ago First seen · 164 lines · 128 tokens per session scan A 353dfa52c109

Subscribe to this mod's changes

seo-geo is a skill published in the GitHub repository seranking/seo-skills (139 stars, last pushed 2mo ago), licensed MIT. It adds 128 tokens to every session and 2,571 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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