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.
npx skills add seovendorco/sv-mcp-skills --skill sv-geo-auditgit clone --depth 1 https://github.com/seovendorco/sv-mcp-skillsWrote 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/seovendorco/sv-mcp-skills/sv-geo-audit)<a href="https://agentmods.dev/skills/seovendorco/sv-mcp-skills/sv-geo-audit"><img src="https://agentmods.dev/badge/skills/seovendorco/sv-mcp-skills/sv-geo-audit/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/seovendorco/sv-mcp-skills/sv-geo-audit"><img src="https://agentmods.dev/badge/skills/seovendorco/sv-mcp-skills/sv-geo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00070 | $0.00770 |
| Opus 5.5 | $0.00028 | $0.00308 |
| Sonnet 5.5 | $0.00014 | $0.00154 |
| Haiku 4.5 | $0.00007 | $0.00077 |
Grade A, and why
sv-geo-audit 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SV GEO Audit: geogptaudit
MCP tool: geogptaudit · Mode: asynchronous (usually several minutes)
API reference: GEO Audit
When to use this
Use for a deep audit of how a domain or page performs in generative engines such as ChatGPT, Gemini and Google AI Overviews, for entities the user already has in mind. It is deeper and slower than the technical check in sv-preliminary-audit. For open-ended questions like "what does AI associate with this site?" use the faster sv-insight-igniter.
Parameters
| Parameter | Required | Notes |
|---|---|---|
keyword |
yes | Target entities, comma separated, 1 to 5. Entities, not a single search phrase. |
url |
yes | A domain for a full-site audit, or a URL with a path for a single page. |
brand |
no | Defaults to the first entity. |
language |
no | 0 to 39. 0 = US English. |
scantype |
no | 0 = deep scan of all pages (default), 1 = quick scan of top pages. |
target_location |
no | Max 120 characters. |
wait |
no | See Async behavior below. |
Example call
{ "keyword": "white label seo, seo agency", "url": "https://example.com", "brand": "Acme SEO", "wait": true }
Result
A finished result includes ready, the audited url and brand, and a set of lettered modules (A to K). They cover pages and entity mappings, schema fixes, consistency risks, citation targets and competitor patterns, quick wins, a roadmap and citation plan, intent gaps, profile checks, misrepresentation risks, and recommendation readiness and review sentiment.
Chaining
Pair with sv-ranklens for the full picture: this tool audits the domain, RankLens measures brand visibility against competitors. If a gap needs done-for-you work, finish with sv-marketplace-services.
Gotchas
- Not every module is guaranteed to be present in every report. Parse defensively.
- When summarizing for a person, lead with the quick wins and the roadmap, not the raw module dump.
- A deep scan of a large site takes longer. Use
scantype: 1for a faster first pass.
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.
- today First seen · 55 lines · 0 tokens per session scan A ad60a63dc566
sv-geo-audit is a skill published in the GitHub repository seovendorco/sv-mcp-skills (2 stars, last pushed yesterday), licensed MIT. It adds 70 tokens to every session and 770 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-16.
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