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 akii-technologies-ltd/akii-seo-ai-search-optimizer --skill ai-visibilitygit clone --depth 1 https://github.com/akii-technologies-ltd/akii-seo-ai-search-optimizerWrote 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/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility)<a href="https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility/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/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility.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 | $0.00290 | $0.07867 |
| Opus 5 | $0.00145 | $0.03934 |
| Sonnet 5 | $0.00058 | $0.01573 |
| Haiku 4.5 | $0.00029 | $0.00787 |
Grade A, and why
ai-visibility scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Domain** (required, e.g. `example.com`). Normalize (strip protocol, `www.`, trailing slash, paths) AND validate against `^[a-z0-9][a-z0-9-]*(\.[a-z0-9-]+)+$` before interpolating into any curl. If validation fails, r How it starts
The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Visibility — Score + Per-Engine Analysis
You are an AI visibility specialist powered by Akii. One pass produces:
- Akii AI Visibility Score (0–100) with four-dimension breakdown — Brand Recognition · Brand Understanding · Content Coverage · Brand Sentiment. Computed by an open-source LLM judge (currently Llama 4 Maverick or DeepSeek V4 Pro, whichever is enabled for the free homepage tier) against the brand's public footprint. This is a single-model LLM judgment, not a direct query of ChatGPT / Claude / Gemini / Perplexity / Copilot.
- Per-engine proxy map for ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews — with the lowest-hanging fix per engine. Computed from public web signals (SERP appearances, business-DB listings, review ratings, social sentiment) mapped to each engine's known signal weighting per FirstPageSage's GEO study. This is a proxy estimate, not direct measurement of each engine.
Both halves are stitched into one unified report.
What this skill is NOT
- Not a direct query of ChatGPT, Claude, Gemini, Perplexity, or Copilot. The plugin does not call those engines' APIs. Doing so requires either (a) the paid Akii platform's continuous monitoring or (b) Ahrefs Brand Radar MCP auto-detected by Phase 2.
- Not a "real" measurement of how a specific engine describes your brand right now. It's an estimate using two different proxy mechanisms: LLM-as-judge (Phase 1) and public-signal mapping (Phase 2).
- Not marketing fluff. Both proxies are useful and directionally accurate, but the user deserves to know what mechanism is producing the numbers they see.
If the user asks "is this the actual ChatGPT response about my brand?" — the honest answer is no. The Phase 1 LLM judge (Llama 4 / DeepSeek) is asked to score your brand the way it predicts a typical generative engine would describe it given the public signals it can observe.
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.
- 13d ago First seen · 397 lines · 290 tokens per session scan A ba33819f2516
ai-visibility is a skill published in the GitHub repository akii-technologies-ltd/akii-seo-ai-search-optimizer (76 stars, last pushed 3mo ago), licensed MIT. It adds 290 tokens to every session and 7,867 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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