# Agent-Ready Local

AI is becoming the front desk for local services.

When someone asks an assistant who to call, it will answer with a business. Agent-Ready Local shows whether that answer can be you — then fixes the gaps that make you hard to recommend.

## The Recommendation Audit

A diagnostic instrument, not a marketing checklist.

The audit shows what an AI assistant can understand, what it cannot verify, and exactly what should change so your business is easier to recommend when the customer is ready to call.

We test three things:

1. **Understand** — can AI extract what you do, where you do it, when you answer, and how a customer starts?
2. **Trust** — can AI find proof: licenses, warranties, experience, ownership, reviews, and dated claims?
3. **Recommend** — can AI choose you over a nearby competitor without guessing or inventing facts?

## What the snapshot shows

- AI answer test
- Service-area proof
- Trust graph
- Competitor delta
- Missing or weak fields
- Practical fix list

Example findings:

- Emergency rule is not explicit.
- Service area is buried in copy.
- Trust claims lack evidence.
- No agent-facing business profile exists.

## The fix path

We make the business easier to recommend.

1. **Run the audit.** Test real customer questions and score the site on understandability, trust, routing, and competitor delta.
2. **Fix the gaps.** Clean up the highest-value facts, pages, schema, and agent-facing profile so assistants can cite the business confidently.
3. **Verify the answer.** Rerun the prompts and show whether the assistant can now understand, trust, and recommend the business.

## Cost

**Recommendation Audit — $99**

A one-page AI visibility snapshot for one local-service website.

Includes:

- AI answer test;
- top recommendation blockers;
- competitor comparison;
- plain fix list.

**Agent-ready cleanup — from $750**

Implementation of the highest-value fixes uncovered by the audit.

Includes:

- service and location clarity;
- trust-proof cleanup;
- structured data and agent profile;
- before/after verification.

## Call to action

Want to know if AI can recommend you?

Send your website. We’ll show what assistants can understand today, what they miss, and what would make your business easier to recommend.

## Technical method

The technical detail lives on `/diagnostics.html`: crawlability, structured data, local facts, trust graph, AI answer tests, competitor deltas, and monitoring.

## Approval boundary

Validation-stage offer. No client claims, outreach, spend, account changes, or third-party commitments occur without approval.
