Greg Isenberg Agent-Native Business Framework

// When should I use the Greg Isenberg Agent-Native Business Framework?

Use this skill when auditing an existing business or website for agent-readiness, or when generating new startup ideas in the agentic era. Trigger it any time someone asks 'how do I future-proof my product' or 'what should I build for the next 10 years of the internet.'

// What information do I need before applying the Agent-Native Business Framework?

• Product or business descriptionrequired
  What the product or service does, who currently uses it, and how it is currently sold or discovered.
• Current tech stack or integrations
  What tools the business already uses (e.g. Stripe, Notion, Slack) so agent-native equivalents can be identified.
• Existing customer journey
  How a human customer currently finds, evaluates, buys, and uses the product — to be remapped onto the Agent Buying Journey.

// What are the core principles behind the Agent-Native Business Framework?

// How do you apply the Agent-Native Business Framework step by step?

1. 1

   Map the existing business onto the Agent Buying Journey

   Walk through each stage of the Agent Buying Journey for the given product: Finding (can an agent locate it programmatically?), Evaluating (are docs, pricing, and APIs machine-readable?), Trust-checking (are policies, limits, and identity requirements explicit?), Transacting (can an agent pay, book, sign, or subscribe autonomously?), Using (can an agent invoke tools, file tickets, change settings without scraping a UI?), Recommending (will the product surface in agent-to-agent referrals?). Flag every stage where the current product fails or is absent.

2. 2

   Audit the five Agent Infrastructure requirements

   For the product in question, check whether it provides each of the five things agents need that humans do not: (1) Identity — who is this agent acting for? (2) Tools — what actions can it safely invoke? (3) Inbox — where do OTPs, docs, and threads land for the agent? (4) Memory — what does it know about preferences and rules? (5) Wallet — what can it spend and who approves it? (6) Receipts — what did it see, decide, change, and buy? Note: treat this like onboarding a new employee — as agent trust grows, permissions and spend limits expand.

3. 3

   Convert the human-readable homepage into an agent-readable presence

   A human-readable homepage uses brand, video, copy, social proof, demo, and pricing. An agent-readable presence requires: structured docs and schemas, policies, examples, endpoints, MCP tools, SDKs, OAuth, checkout, sandbox, and receipts. Recommend adding a dedicated '/agents' entry point to the website. The goal is a capability manifest — agents care less about slogans and more about what they can DO with the product.

4. 4

   Swap human-era defaults for agent-era equivalents across every business function

   Apply the following substitutions systematically: SEO → AEO (Agent Experience Optimisation — optimise for agents deciding who to cite, trust, and recommend); Forms → Tool calls (the call to action becomes an action endpoint); Support docs → Executable support (agents perform the refund, return, reschedule, troubleshoot, escalate); Landing pages → Capability manifests; Sales calls → Agent procurement (buyers send agents to shortlist before a human ever appears); Analytics → Agent analytics (which agents visited, what did they ask, where did they fail, what did they bounce, what was the agent conversion rate).

5. 5

   Identify the missing infrastructure layer the product could own

   Every step of the Agent Buying Journey has missing infrastructure because the old internet assumed a person was doing the work. Ask: which gap does this product uniquely fill? Reference the rapid-fire idea categories to pressure-test: agent identity and permissions technology, agent receipts and audit trails, agent inbox security, agent-ready docs generators, agent-readable pricing pages, MCP servers for the vertical, agent support desk, sandbox for agents to test SaaS, agent SEO agency.

6. 6

   Generate the agent-native version of the product

   Take the original product category and ask: 'What is the version of this built purely for agents?' Use the pattern: '[existing tool] for agents' is the starting point, but push further — the agent-native version may have entirely different pricing models (API calls vs. seats), trust mechanics (spend caps, approval rules, shared payment tokens, audit trails), and distribution (agent-to-agent recommendation graphs). Validate by checking whether a non-human actor could complete the full Agent Buying Journey end-to-end without human intervention.

// What does the Agent-Native Business Framework look like in practice?

// What mistakes should I avoid when building for AI agents?

• Building for human persuasion when the buyer is an agent — slogans, hero videos, and testimonials are invisible to machine customers. Capability and structured trust signals are what matter.
• Assuming the current web infrastructure scales to the agent era — every category of SaaS gets rebuilt, not just adapted. Bolting on an API to a human-first product is not the same as being agent-native.
• Ignoring agent-to-agent recommendation as a distribution channel — in the agent economy, getting recommended by one agent to other agents may be worth more than any human SEO or social campaign.
• Overlooking the identity and permissions layer — agents need to prove who they are acting for, what they are authorised to do, and what they can spend. Products that skip this will fail trust-checks and be bypassed.
• Measuring success with human analytics only — standard conversion funnels and voice-of-customer surveys do not capture agent behaviour. Without agent analytics (what agents asked, where they failed, what they bounced on), optimisation is impossible.
• Waiting for the shift to be obvious before building — almost nobody is building for the machine-to-machine economy yet. The window to establish agent-native infrastructure is open now, not after agent traffic exceeds human traffic.

// What are the key terms in the Agent-Native Business Framework?

Agentic Era

The current and emerging phase of the internet where AI agents — not just humans — are active users, buyers, and operators of software and services.

Agent Buying Journey

The end-to-end sequence an AI agent follows when acting on behalf of a user: Finding → Evaluating → Trust-checking → Transacting → Using → Recommending.

Machine-to-Machine Economy

An economic layer where agents transact with, invoke, and recommend other agents and services without direct human involvement at each step.

Agent-Native

Designed from the ground up for AI agent consumption — agent-native payments, agent-native communication, agent-native memory — as opposed to human-first products retrofitted with an API.

Capability Manifest

The agent equivalent of a landing page: a structured declaration of what actions an agent can safely take with a product, replacing slogans and persuasion copy.

AEO (Agent Experience Optimisation)

The agent-era successor to SEO — optimising a product or website to be cited, trusted, and recommended by AI agents making decisions on behalf of users.

Executable Support

Support infrastructure where agents perform the actual resolution action (refund, return, reschedule, escalate) rather than serving static documentation to a human.

Agent Procurement

The buying process in which a buyer's agent shortlists, evaluates, and recommends vendors before any human sales interaction occurs.

Agent Analytics

A measurement layer tracking agent-specific behaviour: which agents visited, what they queried, where they failed, what caused them to abandon, and what the agent conversion rate is.

Agent Social Graph

The network through which agents recommend tools and services to other agents — the machine-to-machine equivalent of word-of-mouth distribution.

MCP Server

A structured interface that gives agents a defined set of tools to invoke against a SaaS product (search, create, refund, update, report) without scraping or simulating human UI interaction.

Bifurcated Internet

Greg Isenberg's term for the emerging split of the internet into two parallel layers: the human internet (designed for people) and the agent internet (designed for AI agents).

/agents entry point

A dedicated URL path on a website (e.g. yoursite.com/agents) that serves as the structured, machine-readable portal for AI agents to understand and interact with a product.

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