Generate llms.txt files, track bot traffic, and create expert content via API. One platform to make your website discoverable by AI agents and LLMs.
Platform
From content generation to bot analytics, a complete API-first toolkit for the AI-discovery era.
Auto-generate spec-compliant llms.txt and llms-full.txt files following the llmstxt.org standard. Keep your site indexed by AI agents.
Track and classify visits from OpenAI, Anthropic, Google, Perplexity, Meta, and 13+ bot families. Know who's reading your content.
5-phase AI pipeline that adapts to your site's voice. Style extraction, skeleton drafting, writing, fact-checking, and mechanical audit.
Secure API key authentication with SHA-256 hashing. Generate, rotate, and revoke keys programmatically. Built for developers.
Pay only for what you use. Credits map directly to actual LLM token consumption with transparent per-model pricing.
Poll content generation jobs phase-by-phase. See token usage, phase progress, and quality scores as your content is built.
Workflow
No manual prompt engineering. No copy-pasting into ChatGPT. Just API calls.
Create an account, generate an API key, and add credits to your balance.
POST your topic, keywords, and reference URLs. Choose from 8 format profiles. Credits reserved upfront.
Five phases: style extraction, skeleton, draft writing, fact-check, and mechanical audit. Poll for progress.
Retrieve the finished article, edit report, and quality scores. Unused credits are refunded automatically.
Free Tool
Enter your URL and get llms.txt, llms-full.txt, and llms-ctx.txt generated instantly. Up to 25 pages crawled — no signup required.
Starting crawl...
API
Clean REST endpoints. Bearer token auth. JSON responses. Everything you'd expect from a modern API.
# Submit a content generation job curl https://agentgeo.io/api/v1/content/jobs \ -H "Authorization: Bearer sk-ag-..." \ -H "Content-Type: application/json" \ -d '{ "topic": "AI Agent Security", "keywords": "guardrails, sandboxing", "reference_urls": [ "https://example.com/article" ], "format_name": "article" }' # Response: 202 Accepted { "id": "a1b2c3d4-...", "status": "pending", "estimated_credits": 150 }
Case Study
Swarm Signal — an autonomous AI research publication — uses AgentGeo to stay discoverable across every major AI agent.
Swarm Signal publishes daily research coverage via an autonomous pipeline that reads arXiv papers and writes them up for practitioners. With AgentGeo, every article is immediately discoverable by OpenAI, Anthropic, Google, and Perplexity bots — complete with structured metadata, citation-ready context files, and real-time bot traffic analytics.
Generated files live at:
Pipeline
Each phase uses a specialist model and validation gate. No hallucinated facts. No AI slop. Content that reads like a human expert wrote it.
Scrapes your reference URLs and extracts a structured Style JSON — sentence patterns, vocabulary, tone markers, and structural habits.
Builds a detailed article skeleton with section headings, argument flow, and evidence placement. Validated for structural completeness.
Generates the complete article following the skeleton and Style JSON. 12-point mechanical checker catches AI writing patterns in real-time.
Independent fact-verification pass flags unsupported claims, generates an edit report, and produces a corrected draft.
Mechanical verification catches em dashes, escalating triples, forbidden words, and 12 other AI writing tells. Returns a pass/fail quality report.
Pricing
No hidden fees. Credits are consumed based on real LLM token usage with per-model transparency.
Starter
$29/mo
For individual creators and small sites
Professional
$99/mo
For content teams and growing publications
Enterprise
Custom
For agencies and large-scale operations
Credit rates: Haiku — 1 credit/1K input tokens, 5 credits/1K output tokens | Sonnet — 3 credits/1K input tokens, 15 credits/1K output tokens | Typical article: ~150 credits
Start generating AI-optimised content today.
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