Make the web ready for autonomous users.
AI Agent Sync was created around a simple observation: the industry is making agents dramatically more capable, but much of the web still assumes every user is a human looking through a browser.
Why we built it
A website can look excellent to a person and still be difficult for an autonomous agent to discover, interpret, compare, recommend or use. Those failures may happen before a traditional analytics session ever begins, leaving businesses unaware of the opportunity they are missing.
The next competition for digital visibility is not only search ranking. It is whether your business earns a place in an agent's decision set.
Commerce is only the beginning.
An agent may be researching a plumber, comparing bank accounts, evaluating insurance, planning travel, choosing software, finding a doctor, understanding a government service or completing an authorized workflow. The common requirement is the same: the digital experience must be understandable by machines as well as people.
Universal understanding
Public information should be discoverable, structured, coherent and evidence-backed so agents can accurately represent the organization.
Governed action
When an agent needs to act, identity, authentication, authorization, least privilege, policy and auditability become mandatory—not optional.
The missing layer in the agent economy
Agent platforms are becoming increasingly capable. They solve horizontal problems such as models, orchestration, identity, tool use and enterprise governance. AI Agent Sync is not trying to replace those systems. We solve the destination problem they make increasingly important.
| Layer | What is being built | What still needs to happen |
|---|---|---|
| Agent platforms | Reasoning, orchestration, identity, security, memory, observability and tool use | Agents still need digital destinations they can reliably understand and use |
| Traditional website tooling | SEO, accessibility, performance and technical diagnostics | Most tools stop at reports and are not designed around autonomous-agent journeys |
| AI Agent Sync | Agent-facing compatibility analysis, governed remediation and independent verification | Close the loop from detection to proven modernization |
What AI Agent Sync actually does
Detect
Compare human and identified-agent experiences and test discovery, rendering, structured information, capability exposure, policy and actionability.
Modernize
Turn verified gaps into narrowly authorized remediation work performed by specialist agents with bounded capabilities.
Govern
Keep objectives external to the model, enforce permissions deterministically, supervise runtime behavior and require approvals for sensitive changes.
Prove
Use independent read-only verification. If the evidence cannot support success, report unverified rather than guessing.
Protect
Keep sensitive customer data on-device or inside customer-controlled enterprise infrastructure.
Continue
Optionally monitor for future regressions as sites, frameworks, policies and agent ecosystems change.
AI recommendations are already part of the customer journey.
People already ask AI which provider to choose, which bank has the best rate, which hotel fits a trip, which software solves a problem, or which local business is most appropriate. AI Agent Sync does not try to manipulate those answers. It helps organizations expose complete, current and machine-understandable evidence so AI systems have a better factual basis for understanding and comparing them.
Answer Engine Optimization
After technical modernization, AI Agent Sync checks entity identity, question-answer coverage, authoritative attribution and decision-critical information that answer engines need to represent an organization accurately.
Recommendation readiness
AI Agent Sync identifies where missing or ambiguous facts may leave an AI system with less evidence about one organization than its alternatives.
Search optimized the web for discovery. AI Agent Sync prepares it for AI understanding, evaluation and action.
Three rules we refuse to compromise
The agent cannot change its own objective.
The agent cannot expand its own permissions.
The agent cannot certify its own success.