Inception Agents
Enterprise
AI agents are the gatekeepers to enterprise software.
Agents don't care how polished your website is. They're working to get their user the best answer as fast as possible. Developers ask Claude and Copilot what to use — and the agents evaluate, recommend, and even install. Empower them to discover, evaluate, trial, and adopt your product through the conversation itself. Inception Agents unlocks the agentic gatekeeper.
of developers use AI coding assistants daily
of tech buyers discover tools via AI chatbots
B2B transactions influenced by AI agents by 2028
more trials initiated through agent recommendations
The agentic gatekeeper
Your site was built for humans. The gatekeeper speaks data.
Your site was built for humans — rich visuals, marketing copy, interactive demos. Agents skip all of it. They need structured data, clear answers, and machine-readable content. They're not browsing. They're evaluating.
A developer asks Claude Code to recommend an auth library. Claude evaluates five options in seconds — scanning docs, comparing APIs, checking community signals. It recommends yours and scaffolds the integration in the same conversation. That developer brings your product to the team. The team evaluates. The deal starts. And you never knew the gatekeeper existed.
How agents drive enterprise adoption
Developer asks AI: "What's the best auth library?"
Agent evaluates: docs, APIs, pricing, community
Based on data quality, not design
Agent recommends and scaffolds integration
Installation in the same conversation
Developer validates → Team adopts
Enterprise deal starts
From agent recommendation to contract
What humans see
What agents need
The evaluation gap
Your site speaks human. Agents speak data.
An AI agent doesn't scroll your homepage. It doesn't watch your demo video. It doesn't read your customer testimonials. It queries your structured data, evaluates your documentation completeness, parses your pricing, and compares your integrations against five competitors — in under three seconds.
Inception Agents makes your product fluent in the language agents actually speak. Structured content, machine-readable positioning, and optimized responses — so when the gatekeeper evaluates, your product wins.
"You don't manipulate the agent. You structure your information so clearly and compellingly that when the agent evaluates your product, the recommendation feels inevitable."
Plant the idea. Let the agent draw its own conclusion.
This is the principle behind everything we build. Agents can't be gamed — but they can be given the best data. The clearest positioning. The most complete picture. When the information is structured right, the conclusion follows naturally. That's inception.
Intent Graph
See exactly where you win and lose in agent evaluations.
Your Intent Graph maps every evaluation signal across every agent platform. Which features do agents prioritize? Where do competitors outposition you? Which integrations drive the most recommendations? The graph reveals your blind spots — and Inception Agents auto-optimizes how your site engages agents to achieve better outcomes. Every evaluation makes you sharper.
Learn more →Enterprise Intent Distribution
Enterprise Agent
AI Agent
Empower the gatekeeper with the full picture.
When an AI coding agent evaluates your tool, your Inception Agent ensures it has complete, structured, compelling data. Not just docs — competitive positioning, integration guides, migration paths, and real customer outcomes.
Structure the information so clearly that the recommendation feels inevitable.
Learn more →Agentic distribution
Developers don't just evaluate with agents. They adopt through them.
A developer asks Cursor to add rate limiting to their API. The agent recommends your library, installs it, configures it, and writes the integration tests. That's not a lead — that's an adoption.
Agentic coding is the fastest enterprise distribution channel that's ever existed. Every agent-assisted installation is a trial. Every trial is a potential enterprise deal. Inception Agents ensures your product is the one agents recommend and install.
From recommendation to enterprise contract
Agent recommends your product
Based on docs quality, API design, community signals
Agent installs and configures
npm install, config scaffolding, integration tests
Developer validates and ships
Team adopts → Enterprise deal
Weeks, not quarters
Intent Targeted Re-activation
The agent opened the door. Intent targeted re-activation keeps it open.
An AI agent just recommended your product to a developer at a Fortune 500 company. Your Intent Graph captured the evaluation signal. Now intent targeted re-activation reaches the broader team — reinforcing the agent's recommendation while the evaluation is still warm.
The gatekeeper opened the door. Re-activation walks the whole team through it.
Learn more →Enterprise Re-activation
Developer asks Claude for auth library recommendations
Intent: enterprise-grade, SSO support, SOC 2
Re-activation to the company: "See why teams choose [Product]"
Enterprise demo request — full attribution
What we optimize for enterprise.
Six dimensions that determine whether AI agents recommend, install, and champion your product.
Documentation Structure
Machine-readable docs that agents can parse and compare. Structured so the gatekeeper finds answers in milliseconds, not minutes.
Developer Experience Signals
API design, SDK quality, quickstart paths, and code examples. The signals agentic coding tools use to decide what to recommend.
Competitive Positioning
How you compare on the criteria agents evaluate. Honest, structured, data-backed positioning that builds trust with every platform.
Pricing Transparency
Clear tier structure for automated evaluation. Agents can't recommend what they can't parse. Structured pricing data closes deals.
Integration Ecosystem
Compatibility matrix, connector coverage, and migration paths. The integration depth that drives agent recommendations in enterprise.
Agentic Distribution
Optimize for agent-driven installation and trial. When agents can install your product in one conversation, the adoption curve steepens.
Unlock the agentic gatekeeper.
Plant the idea. Let the agent draw its own conclusion.