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 mshahiddigital/agentic-local-seo-audit --skill ai-seogit clone --depth 1 https://github.com/mshahiddigital/agentic-local-seo-auditWrote 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/mshahiddigital/agentic-local-seo-audit/ai-seo)<a href="https://agentmods.dev/skills/mshahiddigital/agentic-local-seo-audit/ai-seo"><img src="https://agentmods.dev/badge/skills/mshahiddigital/agentic-local-seo-audit/ai-seo/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/mshahiddigital/agentic-local-seo-audit/ai-seo"><img src="https://agentmods.dev/badge/skills/mshahiddigital/agentic-local-seo-audit/ai-seo.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 | $0.00081 | $0.07743 |
| Opus 5 | $0.00041 | $0.03871 |
| Sonnet 5 | $0.00016 | $0.01549 |
| Haiku 4.5 | $0.00008 | $0.00774 |
Grade A, and why
ai-seo 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 659 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Visibility & AI SEO Audit — Phase 14
Executive Summary
AI search is the fastest-growing traffic channel in 2025. Google AI Overviews appear for 20–35% of local service queries (SparkToro 2025). ChatGPT Search has 200M+ monthly active users. Perplexity processes 100M+ queries/month. Being cited in AI answers = significant visibility gain; being absent = invisible to AI-first searchers. This phase audits where the client appears (or doesn't) across all major AI platforms, identifies content gaps causing AI invisibility, and produces a prioritized action plan for AI citation dominance.
2025 AI search benchmarks:
- AIO citation rate: pages with FAQPage schema cited 3.2× more than pages without (Amsive 2025)
- ChatGPT freshness: pages updated within 30 days cited at 76.4% rate vs. 31.2% for 90+ day old pages
- Perplexity local query share: 18% of all queries are local business intent (Perplexity data, 2025)
- AIO + organic position 1 = ~45% CTR combined (vs. ~25% for position 1 alone when AIO shows)
Tools for This Phase
| Tool | Purpose | Cost |
|---|---|---|
| Google Search (incognito) | Test AIO presence for top 20–30 target keywords | Free |
| ChatGPT (GPT-4o with Search) | LLM visibility test — local service queries | Free/Paid |
| Perplexity | AI search citations for local service queries | Free |
| Google Gemini | Gemini AI visibility test + source attribution | Free |
| Microsoft Copilot | Bing-powered AI visibility | Free |
| Google Rich Results Test | FAQPage, HowTo, Speakable schema validation | Free |
| Ahrefs | Featured snippet ownership — AIO pulls from snippets | Paid |
| SEMrush | Featured snippet tracking per target keyword | Paid |
| AlsoAsked.com | PAA question mapping — AIO uses PAA patterns | Freemium |
| Otterly.ai | Track AIO mentions over time (monitoring) | Paid |
The AI Search Landscape (2025-2026)
AI search is no longer emerging — it IS the mainstream:
- Google AI Overviews: Shown for ~20-30% of queries (growing)
- Google AI Mode: Full conversational search experience
- ChatGPT Search: Now default for 200M+ users with web access
- Perplexity: 100M+ monthly queries, growing fast
- Microsoft Copilot: Integrated into Windows/Edge/Bing
- Gemini (Google): Deep integration with Android + Google Workspace
- Claude (Anthropic): Growing presence with web search
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.
- 12d ago First seen · 659 lines · 81 tokens per session scan A fba95cb834f8
ai-seo is a skill published in the GitHub repository mshahiddigital/agentic-local-seo-audit (20 stars, last pushed 5mo ago), licensed MIT. It adds 81 tokens to every session and 7,743 once invoked, about $0.0004 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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