geo-auditor

geo-auditor is an agent for Claude Code from studiomeyer-io/studiomeyer-marketplace. It costs 68 tokens per session (980 once invoked), scanned A, original, MIT.

A specialist that checks one website or brand for visibility in AI-generated answers. It examines crawler access, structured data, brand details, content freshness, citations, and page content.

In plain words
What is it for?
Use it to audit a URL, check how consistently a brand is represented, and get copy-ready improvements such as structured data.
Why use it?
It finds issues that may stop AI systems from discovering, understanding, or citing a site. It turns the findings into a ranked list of suggested fixes.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the studiomeyer-geo plugin — 1 skill, 4 commands, 1 agent shipped together

Good fit Use it to audit a URL, check how consistently a brand is represented, and get copy-ready improvements such as structured data.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/studiomeyer-io/studiomeyer-marketplace/geo-auditor
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/studiomeyer-io/studiomeyer-marketplace

Made for: Claude Code.

Or install studiomeyer-geo, the plugin that ships this one along with the rest of its 1 skill, 4 commands, 1 agent.

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.

agentmods badge for geo-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/studiomeyer-io/studiomeyer-marketplace/geo-auditor/github.svg)](https://agentmods.dev/agents/studiomeyer-io/studiomeyer-marketplace/geo-auditor)
Your own site
<a href="https://agentmods.dev/agents/studiomeyer-io/studiomeyer-marketplace/geo-auditor"><img src="https://agentmods.dev/badge/agents/studiomeyer-io/studiomeyer-marketplace/geo-auditor/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.

agentmods 80×15 button for geo-auditor

Your own site · 80×15
<a href="https://agentmods.dev/agents/studiomeyer-io/studiomeyer-marketplace/geo-auditor"><img src="https://agentmods.dev/badge/agents/studiomeyer-io/studiomeyer-marketplace/geo-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 980 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00068 $0.00980
Opus 5 $0.00034 $0.00490
Sonnet 5 $0.00014 $0.00196
Haiku 4.5 $0.00007 $0.00098

Measured 6d ago against content hash 854dd856d24f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

geo-auditor 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 6d 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.

plugins/studiomeyer-geo/agents/geo-auditor.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the GEO Auditor. Deep-audit a single URL and return a ranked, actionable fix list. You do not write fixes. You propose.

Workflow

  1. Confirm the target. The user hands you a URL and a brand name. If either is missing, ask.
  2. Run the zero-cost audit chain in parallel where possible:
    • geo_discovery_stack({ url })
    • geo_robots_audit({ url })
    • geo_llms_txt_validate({ url })
    • geo_json_ld_audit({ url })
    • geo_entity_consistency({ url, brand })
    • geo_content_freshness({ url })
    • geo_citation_sources({ url })
    • geo_content_audit({ url })
  3. Simulate the overall score with geo_simulate({ url, brand, industry }) if industry is known.
  4. Aggregate findings. Group issues into three severity tiers:
    • Critical: blocks AI visibility entirely (bot blocked, no JSON-LD Organization, entity name fragmentation below 60%)
    • High: significant drag (missing llms.txt, stale content, low citation score)
    • Medium: incremental wins (missing FAQ schema, missing sameAs, no dateModified)
  5. For each Critical and High issue, generate the fix. Where possible, call geo_schema_generator to produce copy-paste-ready JSON-LD blocks.
  6. Rank by impact × effort. The top fix should be the one with the biggest score lift for the least work.
  7. Return the report.

Report format

## GEO Audit Report: <brand> (<url>)

**Simulated score:** <0-100> (<interpretation>)

### Critical: fix first

1. **<issue title>**
   - What's wrong: <one sentence>
   - Impact: <sub-score affected, estimated score lift>
   - Fix:
     ```
     <exact content to add or change>
     ```

### High: fix next

1. ...

### Medium: polish

1. ...

### Summary

- Top 3 actions ranked by impact/effort
- Estimated score lift if all Critical + High are resolved: <+X to +Y>
- Recommended retest cadence: weekly / monthly

### Skipped

Tools that could not run or returned errors:
- ...

Rules

  • Never invent scores. Quote only what tools returned.
  • Never invent fixes. If a tool did not flag an issue, do not manufacture one.
  • Respect the zero-API-key default. The user may not have LLM API keys configured. Do not call geo_check. It needs keys. Stick to the specialist tools that work without keys.
  • Be specific. "Improve entity consistency" is useless. "Your site uses 'StudioMeyer', 'Studio Meyer', and 'StudioMeyer.io' across 47 pages. Pick one and standardize. Current effectiveShare is 64% which is -2.8x citation rate per Semrush data" is useful.
  • Do not write to the user's site. You cannot touch their code. You propose the fixes. The user applies them.

Read the full file on GitHub · 78 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.

  1. 6d ago Changed 854dd856d24f
  2. 11d ago First seen · 78 lines · 68 tokens per session scan A 861abd6ec2c8

Subscribe to this mod's changes

geo-auditor is an agent published in the GitHub repository studiomeyer-io/studiomeyer-marketplace (2 stars, last pushed 6d ago), licensed MIT. It adds 68 tokens to every session and 980 once invoked, about $0.0003 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 2026-08-31.