1-2 week audit, 2-4 weeks implementation
Agentic Web
Discovery, comprehension, action, A2A. Twenty-eight checks.
AI assistants like ChatGPT, Claude, and Perplexity are becoming the primary way people discover businesses. Most websites are invisible to them — built as SPAs with empty HTML that AI crawlers can't read.
We rebuild or retrofit your site with four layers of AI readiness: discovery (SSR, llms.txt, sitemaps), comprehension (JSON-LD schema, /api/ai endpoints), action (MCP server, WebMCP tools), and agent-to-agent communication (A2A protocol).
What You Get
Agentic Web Audit (Layer 1/2/3 gap analysis)
Server-side rendering migration
llms.txt and context.md creation
JSON-LD schema on every page
MCP server for agent actions
WebMCP declarative and imperative API
Example Use Cases
SPA to Next.js migrationsLLM visibility improvementAI referral traffic captureMCP server implementationStructured data audit and fixAgent-readable API endpoints
Agentic web in production
We practice what we preach. Two live sites running the full 4-layer stack.
Live sitep0stman.com — our own agentic rebuild
This site runs the full stack: llms.txt, JSON-LD on every page, MCP server, A2A AgentCard, IndexNow, and 28 agentic readiness checks passing. Run the audit yourself.
28 / 28agentic checks passing
