Investor Overview
# The control layer for how AI reads the web
Every website will need AI-ready infrastructure. Legible is building the platform that manages how AI systems crawl, understand, and represent web content, giving publishers control in the AI-first era.
The market shift
# The internet is moving from human-first to AI-mediated consumption
AI assistants increasingly act as the interface to information, answering questions instead of linking to websites. 58% of Google searches already end without a click. The web was built for humans browsing with a mouse. AI systems need something fundamentally different.
This shift creates a new infrastructure category. Just as CDNs emerged when the web went global, and analytics platforms emerged when traffic became measurable, AI Content Infrastructure is the layer the web needs now.
~80%
token waste on typical webpages
Legible internal dataThe problem
# Businesses have no control over how AI uses their content
Today, when ChatGPT or Perplexity visits a website, it encounters a mess of JavaScript, navigation menus, and formatting code. The actual content, the part worth citing, is buried in noise. A typical page wastes over 15,000 tokens on structure that AI can't use.
The technical standards are fragmented and complex. Getting AI visibility right requires configuring robots.txt, llms.txt, JSON-LD structured data, Vary headers, Content-Signal headers, Markdown delivery, AI-specific sitemaps, cache strategies, and training opt-out controls. Most teams don't know where to start, and the standards keep evolving.
The result: businesses are invisible to the fastest-growing discovery channel in a decade. They have no visibility into which AI systems read their content, no control over how it's used, and no way to optimize for AI citations.
The solution
# Legible: the unified AI consumption layer
Legible provides the complete infrastructure layer that manages how AI systems crawl, understand, and use web content. One connection, and the entire technical stack configures itself.
## Crawler Policy Engine
AI-specific access controls with smart presets. Decide what AI can read, summarize, and train on. Conservative defaults protect publishers.
## Markdown Delivery
Every page converted to clean, token-efficient Markdown. ~80% fewer tokens means AI reads 5x more content in the same budget.
## RAG Export & Content Chat
Built-in chat interface for testing content quality, with ready-made export to Intercom, Zendesk, and custom chatbot deployments.
## AI Crawler Analytics
The Search Console for AI. Track which AI systems read your content, how often, and which pages are most accessed. 20+ crawler types identified.
## Auto-Configuration
12+ technical requirements (robots.txt, llms.txt, JSON-LD, headers, sitemaps) generated and maintained automatically. Updates on every publish.
## CMS Integrations
One-click setup for Webflow, WordPress, and Drupal. No migration, no code changes, no engineering resources required.
Use cases
# Who needs AI Content Infrastructure
## Customer support automation
Turn website content into AI-powered chatbots. Deploy on Intercom, Zendesk, or custom systems. Content stays current automatically.
## Documentation & knowledge bases
Make technical docs, help articles, and guides instantly consumable by AI systems. Ensure accurate citations and reduce support load.
## SaaS marketing sites
Get cited in AI-generated answers about your product category. Be the brand AI recommends when customers ask for solutions.
## E-commerce product data
Structured product descriptions, specs, and reviews delivered in a format AI systems can parse and cite accurately.
Market opportunity
# A new category for every website on the internet
Every website globally will need AI-ready infrastructure, just as every website eventually needed SSL, analytics, and CDN services. This is not an optimization of an existing category. It's the emergence of a new one: AI Content Infrastructure.
The shift from SEO (Search Engine Optimization) to GEO (Generative Engine Optimization) is creating demand for tooling that doesn't exist yet. Legible is building the default layer for this transition, starting with the businesses that need it most urgently and expanding as AI consumption becomes universal.
Competitive advantage
# One layer where others have fragments
Existing players address pieces of the problem. Legible is the only platform that unifies AI crawling, content delivery, policy, analytics, and chatbot deployment into a single infrastructure layer.
Infrastructure-level, but complex and low-level. No analytics, no content intelligence, no RAG pipeline. Permissive defaults favor AI companies, not publishers.
Built for traditional search rankings. Not designed for AI citation, content delivery, or generative search optimization. Measuring the old game.
Focused on content creation and human-facing delivery. No AI content optimization, no crawler analytics, no policy engine. Publishing, not AI infrastructure.
Unified AI consumption layer. Content-aware infrastructure with smart defaults. Publisher-first approach with conservative permissions. Analytics, control, delivery, and chatbot deployment in one platform, one connection.
Business model
# SaaS subscription with expansion into enterprise
Core SaaS. Tiered subscription pricing based on content volume and AI traffic. Free tier for adoption, scaling to enterprise plans for high-traffic sites with advanced analytics and custom integrations.
Enterprise integrations. Chatbot deployments (Intercom, Zendesk, custom), RAG pipeline APIs, and dedicated support for organizations deploying AI-powered customer experiences at scale.
Future expansion. Usage-based pricing for API consumption, premium analytics and optimization features, and a marketplace of AI consumption integrations as the ecosystem matures.
Roadmap
# Control → Visibility → Optimization → Platform
## Control
Crawler policy engine, Markdown delivery, RAG-ready export APIs. Ship the foundation that gives publishers control over how AI consumes their content.
## Visibility
AI crawler analytics, content performance tracking, and AI interaction simulator. Give publishers the data to understand and optimize their AI presence.
## Optimization
AI content tuning, citation detection, semantic embeddings, and content scoring. Move from passive infrastructure to active optimization of AI citations.
## Integrations & Platform
Chatbot deployments (Intercom, Zendesk, custom), RAG pipeline APIs, and a marketplace of AI consumption integrations. Become the platform layer for AI-ready web content.
Vision
# The default infrastructure layer for AI-ready web content
Legible's long-term vision is to become the standard layer between websites and AI systems. Every website that wants to be cited, understood, and accurately represented by AI will run through Legible.
# Let's talk.
We're building the infrastructure layer for the AI-first web. If you're interested in the opportunity, we'd love to share more.
Get in touch