69% of Google searches now end without a click. AI decides which brands get cited and which get ignored. If AI can't parse your site, humans never see you. AgentGeo fixes that.
The Problem
AI search engines don't rank links — they synthesize answers. If your content isn't structured for machine extraction, you simply don't exist.
69% of Google searches now end on Google's own page. AI Overviews grew zero-click from 56% to 69% in a single year. Your traffic funnel is broken at the source.
LLMs don't return ten blue links. They read the entire web and pick which brands to name. If the model can't parse your site, it cites your competitor instead.
Princeton research proves keyword stuffing performs 10% worse than doing nothing at all. Generative models penalise manipulation that degrades readability.
Seer Interactive changed a footer and AI outputs updated within 36 hours. Every element on your site — nav, footer, sidebar — shapes what AI believes about you.
Traditional searches averaged 4 words. AI queries average 23. Users give full context and expect complete answers — thin keyword pages can't compete.
Brands publishing original research and first-party statistics see 30-40% higher visibility in LLM responses. AI trusts data, not marketing copy.
Platform
AgentGeo applies Princeton's GEO framework to your site. From structured content to bot analytics, everything you need to get cited by AI.
See what AI actually sees when it reads your site. We check structured data, content extractability, Schema markup, and citation-worthiness against the Princeton GEO framework.
Track visits from GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, and 13+ bot families. Know which AIs are reading you — and which are ignoring you.
5-phase AI pipeline writes content engineered for AI extraction — dense statistics, expert quotes, structured formatting, and proper citations. Not keyword-stuffed filler.
Auto-generate spec-compliant llms.txt files to give AI agents a structured content layer for your site. Complement your HTML and Schema with agent-native access.
Track how often AI models cite your brand across key industry prompts. Measure Citation Quality, Share of Model, and downstream branded search velocity.
Clean REST endpoints, bearer token auth, JSON responses. Automate audits, track bots, and generate content programmatically. Built for developers and agencies.
Workflow
AgentGeo audits what AI sees, fixes what's broken, and tracks your visibility over time.
We crawl your site like an AI would. Get a GEO score covering structure, extractability, Schema, citations, and content quality.
Get prioritised recommendations: add statistics, fix heading structure, deploy Schema markup, and restructure content for machine extraction.
Our 5-phase AI pipeline writes content that AI models trust to cite: data-dense, well-sourced, clearly structured, and free of AI writing tells.
Monitor your Mention Rate, Citation Quality, and Share of Model across ChatGPT, Perplexity, Gemini, and AI Overviews.
Free Tool
Enter your URL and we'll generate llms.txt files — the structured content layer that helps AI agents understand your site. Up to 25 pages crawled, no signup required.
Starting crawl...
API
Clean REST endpoints. Bearer token auth. JSON responses. Audit, generate, and track programmatically.
# 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 ensure every article is structured for AI extraction and discoverable by ChatGPT, Perplexity, and Gemini.
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
Princeton research shows statistics, citations, and clear structure boost AI visibility by up to 40%. Our 5-phase pipeline bakes these tactics into every piece of content.
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
Credits map to real LLM token usage. Transparent per-model pricing. No hidden fees.
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
69% of searches end without a click. The brands that AI cites win. The rest disappear. Don't be invisible.