Agent Access transforms your web presence so AI systems can find, understand, and transact with your business — automatically, without a human in the loop.
Your business, transactable by AI.
Search changed. Buying changed. The companies adjusting now will own the next five years. The ones waiting will lose ground they can't recover.
Organic click-through rates are down 25% as AI Overviews intercept queries before users reach your site.
–25% CTRAI agents query business data through protocols, not pages. If your site doesn't expose structured tools, agents skip you entirely.
28% Fortune 500 readyWebMCP — co-authored by Google and Microsoft — ships Chrome stable Q2–Q3 2026. After that, every browser becomes a native agent client.
~6 monthsAn AI agent is a system that acts on behalf of a user — booking appointments, comparing vendors, placing orders — without the user clicking through your site. For an agent to work with your business, three things must be true.
Your business information must be structured, labeled, and machine-readable — not buried in images or locked inside a CMS that agents can't parse.
Booking a call, checking pricing, triggering your intake flow — these actions need to be wrapped as callable tools that an agent can invoke on command via MCP.
When a human does show up mid-transaction, the interface adapts to what the agent already knows — no starting over, no lost context.
Agent Access makes all three true. You don't need to understand the protocols. You need the result: your business, transactable by AI.
Agent accessibility for businesses at every stage of readiness. Start with Foundation, expand as your agent infrastructure matures.
Minimum viable agent infrastructure — enough to be discoverable, readable, and callable. Deliverable today, no WebMCP dependency.
After this engagement: AI agents can find your business, read your information, and understand what you offer.
agent.json discovery file — tells AI agents your business exists + llms-full.txt optimization — a machine-readable summary AI models use to understand youBest for: Service businesses, local practices, e-commerce under $2M revenue.
Get StartedFrom discoverability to active agent commerce. A custom MCP server, dynamic interface layer, and 90-day monitoring.
After this engagement: AI agents can take actions with your business — book appointments, pull pricing, answer questions, and complete transactions on behalf of users.
Best for: Mid-market brands, multi-location businesses, e-commerce $2M–$20M, SaaS with a sales motion.
Get StartedCustom architecture and a dedicated partner managing your full agent ecosystem long-term.
After this engagement: Your full business operation is wired into the agentic web with custom architecture, multi-system integrations, and ongoing optimization.
Best for: Enterprise brands, platform businesses, complex product catalogs, compliance-heavy organizations.
Schedule a CallWe assess your infrastructure: API availability, structured data completeness, content architecture, integrations, security posture. Scored report with specific gaps identified before we write a line of code.
We map your business logic to agent-callable tools. What can an agent do on your behalf? We define tool schemas, data I/O, and authentication before implementation begins.
MCP server build. Structured data implementation. AG-UI interface layer. All endpoints tested against live agent frameworks — not just unit tests, real agent calls.
Real agent query testing across the full transaction chain: booking flows, pricing lookups, FAQ calls. Documentation, credentials, and monitoring setup handed off to your team.
Agents handle scheduling for consumers. If your booking process isn't callable, you're losing leads before they reach your site.
73% of shoppers use AI during research. If an agent can't read your catalog and pricing, you're invisible at the decision layer.
Agent readiness is still a differentiator. That window closes when WebMCP ships stable. First movers compound this advantage.
AI Overviews intercede before clicks happen. Agent Access is how you show up in the new layer — not the old one.
Your tools should be callable by enterprise agent orchestration systems. MCP makes your product native to agent workflows.
You need website design, brand strategy, or content as your primary engagement. Agent Access is infrastructure — it requires a live, functioning web presence as the starting point.
MCP (Model Context Protocol) is an open standard — originally Anthropic, now Linux Foundation — that lets AI agents call tools and read data from external systems. An MCP server sits between your business data and any AI agent that wants to interact with it. Think of it as a secure API designed specifically for AI consumption. 97 million developers download the SDK every month.
AG-UI is a design pattern where your interface adapts dynamically based on how a visitor arrived and what context they carry. If a customer started with an AI agent and got handed off to your site mid-transaction, AG-UI picks up where the agent left off — pre-filled context, right next step, no starting over. Built on the open AG-UI protocol from CopilotKit.
WebMCP is a W3C standard co-developed by Google and Microsoft that allows websites to expose structured tools directly to AI agents through the browser. When it ships Chrome stable in Q2–Q3 2026, every browser becomes a native agent client. Businesses with agent-ready infrastructure will be the default choice. Businesses without it will spend the next two years retrofitting.
Foundation: no — routine maintenance is minimal and we document everything. Standard and Enterprise: we recommend a technical point of contact who can manage API credentials and flag issues, but you don't need a dedicated engineer. Ongoing monitoring is included in your retainer.
That's a head start, not a reason to skip. Existing structured data is rarely complete enough for agent consumption. Existing APIs are almost never MCP-compatible. We audit what you have, preserve what works, and build the gap.
The AI Visibility Audit (Tier 1) tells you exactly where you stand — your score across ChatGPT, Perplexity, Gemini, and AI Overviews, and what's blocking you. AI Readiness Setup (Tier 2) implements the foundational fixes: Schema.org, llms.txt, robots.txt. Agent Access (Tier 3) goes further — it makes your business actively transactable by AI agents, not just visible to them. Many clients start with an audit and progress through the ladder.
WebMCP ships stable in months. Find out where your business stands in the next 48 hours — before your competitors do.