Your next customer is an agent.
AI agents are starting to choose, trust, and buy for the people they work for. Presenc makes your business the one they pick.
Where agents look. Across every major model and rail. Neutral by design.
ChatGPT
Perplexity
Gemini
Claude
Grok
QwenEvery request to presenc.ai is logged at the edge in real time
Discovery has moved from links, to search, to language models. The next step removes the human from the middle entirely. Agents will discover, decide, and transact for us.
AI agents have reasoning, memory, tools, and MCP. What they lack is a commercial layer: a way to know which business to trust, what it costs, and how to buy.
Search is moving to agents·Businesses aren't machine-readable·No trust layer exists for agent commerce
TodayAgents can reason, plan, and call tools.
The gapThey cannot tell which business is real, reliable, or safe to act on.
TodayAgents can read a marketing site, barely.
The gapNo structured way to know what a service costs, or how it compares.
TodayAgents can hold a payment credential.
The gapNo standard signal for which provider to choose, or how to pay it.
We make businesses machine-readable and machine-transactable for AI agents. The discovery layer, where agents find and cite you, is live today. Trust, pricing, and transaction are the next layers. No incumbent owns the full stack: each holds one piece and competes for the rest.
Every agent decision runs the same loop: find a provider, check trust, compare price, transact. Presenc is the layer agents consult at each step, so your business is the one they choose.
Across ChatGPT, Perplexity, Gemini, Claude, Grok and Qwen, an agent surfaces the businesses that could do a task.
Presenc exposes machine-readable reputation and authority so an agent knows which business is safe to act on.
Machine-readable pricing lets the agent benchmark options and pick the best value, not just the loudest brand.
The agent settles on the rail the buyer already uses, x402, AP2 or card. We never move the money.
Three shifts are happening at once. Discovery is going agentic, services are exposing themselves to agents, and autonomous payment rails are live. Nothing connects them yet.
800M+
weekly AI assistant users
LLM assistants are becoming the front door to discovery. Increasingly, an agent acts on what they surface, not a human clicking a link.
OpenAI, 2025
1,000s
MCP servers live
Businesses are exposing services directly to agents over MCP. The supply side of agent commerce is forming now.
MCP ecosystem, 2026
>1B
HTTP 402 / day
Cloudflare Pay-Per-Crawl, x402, and AP2 mean agents can already pay autonomously. The plumbing for agent transactions exists at internet scale.
Cloudflare, 2025
$105B
AI agent market by 2034
As commerce shifts from human search to agent decisions, the infrastructure that routes those decisions is still unbuilt.
Market projection
Click through the real app: visibility by engine, citations, sentiment, and competitor benchmarks. The first layer agents read from, live today. Not a mockup.
Tracker plans start at $49/mo. See plans →
Ecosystem Recognition
Proud member of the NVIDIA Inception Program, supporting AI startups with infrastructure, technical resources, and ecosystem partnerships.
The internet was built for humans. The next one is run by agents that discover, evaluate, and transact on their own. We are building the trust, pricing, and transaction layer they rely on. Read the full thesis.
See our vision
You spent a decade keeping automated traffic off your site. Now the buyer is automated, and your mitigation stack cannot tell a shopping agent from a scraper. Agents do not abandon carts. They fail integration tests.
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AI agents are starting to buy, not just browse. A whole payments stack is forming underneath them, from x402 to AgentCash to Stripe. Here is a field guide to the protocols and the players.