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 agentmods add skills/ziniman/ai-instruct/seo-llmonpx skills add ziniman/ai-instruct --skill seo-llmogit clone --depth 1 https://github.com/ziniman/ai-instructWrote 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/ziniman/ai-instruct/seo-llmo)<a href="https://agentmods.dev/skills/ziniman/ai-instruct/seo-llmo"><img src="https://agentmods.dev/badge/skills/ziniman/ai-instruct/seo-llmo.svg" alt="Measured on agentmods" 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 | $0.00278 | $0.12516 |
| Opus 5 | $0.00139 | $0.06258 |
| Sonnet 5 | $0.00056 | $0.02503 |
| Haiku 4.5 | $0.00028 | $0.01252 |
Grade C, and why
seo-llmo scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s https://yourdomain.com/ | python3 -c "import sys,json,re; [print(b['description']) for b in json.loads(re.search(r'application/ld\+json[^>]*>(.*?)</script>', sys.stdin.read(), re.S).group(1)).get('@graph', []) if Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Verify: `curl -s https://yourdomain.com/llms.txt` - confirm the file is accessible and the H1 and blockquote render correctly. How it starts
The opening of the file, as written. The whole thing — 1,140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO & LLMO Implementation Guide
Applies to: Any website or web app | Updated: April 2026
A practical guide for implementing Search Engine Optimization (SEO), Large Language Model Optimization (LLMO), and agent-readiness - making your site discoverable and usable by search engines, AI chat tools, and autonomous agents.
Agents (ChatGPT deep research, Claude with web, Perplexity, Cloudflare Agents, browser agents) don't just index your page, they fetch and act on it. That raises the bar on three things beyond classic SEO: telling crawlers what they may do with your content (Content Signals), serving a clean Markdown version on demand, and advertising any programmatic entry points you expose. You can check your agent-readiness score at isitagentready.com.
Section 0: Before You Start
Answer these questions before generating any code. Each has a default - use it if the user hasn't said otherwise.
Q: What kind of site is this? (blog, online shop, company/marketing site, web app, documentation) Default: company/marketing site - drives which schema types to prioritize.
Q: How is the site built?
(plain HTML, React/Vue/Angular SPA, Next.js/Astro/Nuxt with server rendering, WordPress/CMS)
Default: if a framework config file (e.g. vite.config.*, next.config.*, astro.config.*) is visible in the project, detect from that; otherwise assume plain HTML.
Q: Where are your visitors? (one country, multiple countries/languages, worldwide) Default: worldwide, single language - skip hreflang unless multiple languages are confirmed.
Q: What's your main goal with SEO? (show up in Google search, get cited by AI chat tools like ChatGPT/Perplexity, be usable by autonomous agents, social sharing, all of the above) Default: all of the above - the baseline checklist covers Google + AI chat citation + agent-readiness in one pass.
Q: Do you already have a robots.txt, sitemap, or structured data set up? Default: no - but check for existing files before creating new ones, and merge rather than overwrite.
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.
- 6d ago First seen · 1,140 lines · 278 tokens per session scan C 13855b0b43e3
seo-llmo is a skill published in the GitHub repository ziniman/ai-instruct (28 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 278 tokens to every session and 12,516 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, 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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