Documentation

AgentFound Docs

Learn how local businesses become found, cited, and recommended by AI assistants.

AgentFound measures the gap between a business that exists online and a business an assistant can confidently use in an answer. These docs explain the score, the nine signal dimensions behind it, and the practical fixes that turn a weak report into a stronger assistant read.

The pages are written for business owners, marketers, and technical implementers. Each core signal page follows the same structure: what it measures, why it moves EAC, what the agent sees, how to improve it, and how to verify that the answer changed.

Start here

• What AI agent visibility is
• Earned Agent Citation explained
• The nine signals
• Fix playbooks
• Reading your report

What these docs are for

Use the docs whenever a report card says a fact is unclear, uncited, stale, blocked, or inconsistent. Every recommendation should lead to one of two outcomes:

1. A business fact becomes easier for an assistant to identify, verify, and cite.
2. A user can move from the assistant answer to a concrete next step such as call, book, request a quote, or get directions.

Now measure it

The score only matters when it reflects what assistants actually say. After applying a fix, re-run the audit and confirm that the answer changed.

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