claude/agents/resources/llms-txt-template.md
bastien 4b01b487b5 feat(seo/geo): split into parallel seo + geo agents with shared resources
Refactor the monolithic seo-analyzer into two specialist agents
orchestrated in parallel by the /seo skill, plus a standalone /geo
skill for AI-only audits.

Changes
- agents/seo-analyzer.md: refocused on classical engines (Google, Bing,
  DuckDuckGo). Adds Core Web Vitals 2.0 (LCP/INP/CLS + VSI), CSP + full
  security headers, hreflang audit, video SEO (transcripts), accessibility
  as ranking signal, image/video sitemaps.
- agents/geo-analyzer.md: new agent for AI engines (ChatGPT, Claude,
  Perplexity, Gemini, Google AI Overviews, Copilot). Covers AI crawler
  policy, llms.txt/llms-full.txt, Schema.org for AI extraction (QAPage,
  Speakable, Person+Article, Organization graph), entity SEO (Wikidata,
  sameAs, Knowledge Panel), content shape (Definition Lead, TL;DR,
  Q->A, citable stats, freshness), AI visibility testing.
- agents/resources/: shared knowledge base referenced by both agents —
  ai-crawlers-2026.md (25+ bots, training vs retrieval categories,
  permissive/restrictive templates), llms-txt-template.md, geo-schemas.md
  (incl. deprecated list: ClaimReview, CourseInfo, etc. removed June 2025),
  entity-seo.md, content-shape-for-ai.md, ai-visibility-tools.md,
  automation-catalog.md.
- skills/seo/SKILL.md: becomes parallel dispatcher. Collects context
  once (depth + business), spawns both agents in a single message for
  concurrent execution, merges envelopes into unified SEO.md. Includes
  authoritative file-ownership matrix to prevent parallel-edit races.
- skills/geo/SKILL.md: new standalone wrapper for GEO-only audits.

Scoring
- Combined score: GLOBAL = 0.80 * SEO + 0.20 * GEO (local B2C),
  0.75 * SEO + 0.25 * GEO (SaaS/national/content).
- GEO axis weight raised from 5% (old) to first-class dimension.

Policy
- AI crawlers: permissive default (maximise AI citations). Restrictive
  template available for premium/regulated content.
- Every user action in SEO.md section 11 must cite automation options
  from automation-catalog.md.

Tools
- WebFetch + WebSearch added to allowed-tools of both skills and
  both agents (needed for live CWV via PageSpeed API, AI visibility
  testing, Wikidata/Knowledge Panel lookups, competitor analysis).

Research basis (2026 state of the art validated via WebSearch):
- Core Web Vitals 2.0 (VSI signal, Google core update March 2026)
- AI Overviews trigger on ~48% of Google searches
- ClaimReview + 6 other schema types deprecated June 2025
- Definition Lead Architecture (CMU KDD 2024, +impression score)
- Citations + stats add up to 40% AI visibility (Aggarwal 2024)
- Wikidata grounds every major LLM (ChatGPT, Claude, Gemini, Perplexity)

Backup
- agents/seo-analyzer.md.bak kept for rollback reference.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-21 16:16:30 +02:00

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5.0 KiB
Markdown

# llms.txt / llms-full.txt — template and strategy
## Status as of 2026-04
**Honest assessment**: llms.txt is a proposed standard by Jeremy Howard
(Answer.AI, Sept 2024). No major AI crawler has publicly confirmed they
extract content via `/llms.txt`. A Search Engine Land study (2025) found
8 of 9 sites saw no measurable traffic change after adoption.
**Why include it anyway**:
- Low cost (small static file).
- Real value for developer-facing sites — AI coding assistants (Cursor,
Continue, Claude Code, GitHub Copilot Chat) DO read it for doc retrieval.
- Signals intent to AI ecosystem. Early mover advantage if adoption grows.
- Reduces RAG token consumption when third parties ingest your content.
**Do not promise ranking gains.** Frame as "no-regret hedge", not "quick win".
## Where it goes
- `/llms.txt` — root of domain. Index of your content in markdown.
- `/llms-full.txt` — root of domain. Full text of your most important pages
concatenated. Optional but recommended for docs/blog/knowledge base.
Both MUST be reachable over HTTPS, content-type `text/plain` or
`text/markdown`, and NOT blocked in robots.txt.
## Canonical structure
```markdown
# <Site or Project Name>
> <One-sentence elevator pitch. This is the single line AI systems extract
> as your site summary. Be concrete. Include entity + category + differentiator.>
<Optional free-form paragraph providing more context. Keep under 400 chars.>
## Docs
- [Getting started](https://example.com/docs/getting-started): What it does, how to install.
- [API reference](https://example.com/docs/api): All endpoints with examples.
- [Tutorials](https://example.com/docs/tutorials): Step-by-step walkthroughs.
## Examples
- [Quickstart example](https://example.com/examples/quickstart.md): Minimal working demo.
## Optional
- [Changelog](https://example.com/changelog.md): Version history.
- [Blog](https://example.com/blog/index.md): In-depth articles.
```
## Structure rules (Jeremy Howard spec)
1. First line: `# <Name>` (H1 with project/site name).
2. Second non-comment line: `> summary` (blockquote, one sentence).
3. Optional paragraphs of free-form context after the blockquote.
4. H2 sections grouping links: `## Docs`, `## Examples`, `## Optional`, etc.
5. Each link: `[Title](URL): description.` — description under 120 chars.
6. Any link pointing to a `.md` version of the page is preferred.
7. Total file: target under 8 KB. If larger, split into `llms-full.txt`.
## llms-full.txt
Concatenation of the full text (stripped of nav/footer/ads) of your most
important pages. Separator between pages:
```
---
URL: https://example.com/docs/getting-started
Title: Getting Started
---
<full markdown content of that page>
---
URL: https://example.com/docs/api
Title: API Reference
---
<full markdown content of that page>
```
Target under 500 KB. If your corpus is larger, trim to highest-value pages
(most-linked, most-traffic, most-updated).
## Generation patterns
### Static sites (Astro, Hugo, Jekyll, 11ty, Next.js SSG)
Best practice: generate both files at build time from the same source as
your regular pages. Examples:
**Astro**: add a `src/pages/llms.txt.ts` endpoint:
```typescript
import { getCollection } from 'astro:content';
export async function GET() {
const docs = await getCollection('docs');
const body = [
'# My Project',
'',
'> One-sentence pitch.',
'',
'## Docs',
...docs.map(d => `- [${d.data.title}](https://example.com/docs/${d.slug}): ${d.data.description}`),
].join('\n');
return new Response(body, { headers: { 'Content-Type': 'text/plain' } });
}
```
**Next.js App Router**: `app/llms.txt/route.ts`:
```typescript
export async function GET() {
// similar — pull from your CMS/MDX/db
return new Response(body, { headers: { 'Content-Type': 'text/plain' } });
}
```
**Hugo**: custom output format `llms``llms.txt` template in layouts.
### CMS (WordPress, Drupal, Ghost)
Use a plugin OR a cron job that regenerates files weekly. Flag stale
files (older than site content) in audits.
### Static HTML / PHP
Hand-maintained file. Flag in audits if older than 90 days.
## Automation tools (for SEO.md §11 "automatisation possible")
- **`llms-txt-action`** (GitHub Action) — generates on each deploy
- **Mintlify** — auto-generates for Mintlify-hosted docs
- **Fern** — auto-generates for Fern-generated API docs
- **`llmstxt-hub`** — community directory of examples
- Custom script + cron — works for any static content source
## What NOT to put in llms.txt
- Login walls / private content
- Pricing tables (change frequently → stale risk)
- Testimonials (authenticity risk if AI quotes them)
- Marketing fluff without factual anchors
## Validation checklist
- [ ] File reachable at `/llms.txt` over HTTPS
- [ ] Content-type `text/plain` or `text/markdown`
- [ ] H1 + blockquote present as first two non-comment lines
- [ ] All linked URLs resolve (200)
- [ ] No broken markdown (valid CommonMark)
- [ ] Mentioned in `/sitemap.xml`? Optional, debated
- [ ] NOT blocked in `/robots.txt`