ai-presence-auditor

ai-presence-auditor is a skill for Claude Code, Codex from OptimizerTeam/agent-skills. It costs 104 tokens per session (1,110 once invoked), scanned A, original, MIT.

An audit of whether a local or home-service business appears when customers ask AI assistants for provider recommendations. It covers assistants such as ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot.

In plain words
What is it for?
Use it to assess a business's AI visibility using its name, services, area, website, and optional competitors. It produces specific fixes for the relevant websites, business listings, and other information sources.
Why use it?
It shows where a business is missing from the sources AI assistants use and turns those findings into prioritized improvements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess a business's AI visibility using its name, services, area, website, and optional competitors. It produces specific fixes for the relevant websites, business listings, and other information sources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/optimizerteam/agent-skills/ai-presence-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.

Any agent
npx skills add OptimizerTeam/agent-skills --skill ai-presence-auditor
Clone the repo
git clone --depth 1 https://github.com/OptimizerTeam/agent-skills

Made for: Claude Code, Codex.

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 ai-presence-auditor

README.md
[![agentmods](https://agentmods.dev/badge/skills/optimizerteam/agent-skills/ai-presence-auditor/github.svg)](https://agentmods.dev/skills/optimizerteam/agent-skills/ai-presence-auditor)
Your own site
<a href="https://agentmods.dev/skills/optimizerteam/agent-skills/ai-presence-auditor"><img src="https://agentmods.dev/badge/skills/optimizerteam/agent-skills/ai-presence-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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/optimizerteam/agent-skills/ai-presence-auditor"><img src="https://agentmods.dev/badge/skills/optimizerteam/agent-skills/ai-presence-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,110 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 $0.00104 $0.01110
Opus 5.5 $0.00042 $0.00444
Sonnet 5.5 $0.00021 $0.00222
Haiku 4.5 $0.00010 $0.00111

Measured 1mo ago against content hash 997e98ee0b3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-presence-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 1mo 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.

skills/ai-presence-auditor/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Presence Auditor

Customers increasingly ask an AI assistant "who should I call for a plumber in Austin?" instead of scrolling Google. AI names only a handful of businesses — you're either in the answer or you're invisible. This skill audits where a local business stands across the surfaces AI actually reads, and returns a prioritized list of fixes.

What you need (inputs)

  • Business name
  • Primary service(s)
  • City / service area
  • Website URL
  • 2–3 competitors (optional but useful)

How AI actually picks local businesses (the model the fixes follow from)

There is no single "AI" — different assistants read different sources, so "get found by AI" is a multi-surface job, not one listing:

  • ChatGPT leans on the Bing index + your website + Yelp/Foursquare structured data — not primarily Google Business Profile.
  • Google AI Overviews / AI Mode / Gemini lean on your Google Business Profile + the local pack.
  • Microsoft Copilot ← the Bing ecosystem. Siri / Apple Maps ← Apple Business Connect.

A few ground rules that shape every recommendation:

  • AI recommends a small set (~3–5) of businesses, and often not the Google #1. Being cited is not the same as being recommended.
  • Reviews act as a trust filter — roughly 4+ stars is table stakes; thin or below-average review profiles get left out. (There's no proven exact numeric cutoff — don't invent one.)
  • Multi-source consistency beats any single listing: consistent name/address/phone (NAP) across Google, Bing, Apple, Foursquare, Yelp, and directories is what lets the AI trust the entity.
  • Reality check: AI-sourced recommendations are still a small share of local demand today versus the Google local pack and the phone. Treat this as a growing edge, not the whole game — and say so.

The audit

  1. Run representative buyer prompts. Across ChatGPT + Perplexity + Google AI (and Gemini/Copilot if available), use real customer phrasing: "best emergency plumber in {city}", "who should I call for {problem} in {city}", "top-rated {service} near {neighborhood}". For each prompt record: Is the business named? Which competitors are named? What reason or source does the AI give?
  2. Diagnose the surfaces. Check presence + completeness on Google Business Profile, Bing Places, Apple Business Connect, Foursquare, and Yelp. Flag any that are missing or unclaimed.
  3. Check NAP consistency (name, address, phone) across those registries — mismatches confuse the entity and suppress recommendations.
  4. Check reviews — volume, recency, average rating, and response rate. Below-average or thin → likely filtered out regardless of everything else.
  5. Check the website. Does it state, in plain text, exactly what you do and where ("24/7 emergency plumbing in {city}")? Are there service and service-area pages, and an FAQ that matches how people ask AI? Vague "quality solutions for all your needs" copy is effectively invisible to AI.
  6. Check third-party mentions/citations — is the business named in local "best-of" round-ups, directories, and review sites the AI pulls from?

Read the full file on GitHub · 82 lines

Files

What ships with it

1 file 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.

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. 1mo ago Changed 997e98ee0b3e
  2. 2mo ago First seen · 82 lines · 104 tokens per session scan A effae6a5752a

Subscribe to this mod's changes

ai-presence-auditor is a skill published in the GitHub repository OptimizerTeam/agent-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 104 tokens to every session and 1,110 once invoked, about $0.0004 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 2026-08-31.

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