The Recommendation Audit

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.

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.

Understand

Can AI extract what you do, where you do it, when you answer, and how a customer starts?

Trust

Can AI find proof: licenses, warranties, experience, ownership, reviews, and dated claims?

Recommend

Can AI choose you over a nearby competitor without guessing or inventing facts?

AI answer testService-area proofTrust graphCompetitor delta
Missing

Emergency rule is not explicit

The site says “fast service,” but does not state after-hours or same-day availability in a way an assistant can cite.

Weak

Service area buried in copy

Lakewood appears in marketing text, but there is no clean, structured service-area statement.

Proof gap

Trust claims lack evidence

Warranty and license language is present but not tied to a clear proof point or as-of date.

Fix

Create an agent-facing profile

Add a simple page and structured data that tells assistants how to understand and route the customer.

We make the business easier to recommend.

The cleanup is practical: rewrite unclear service facts, expose trust signals, add structured data, and verify the before/after answer. No AI theater. No generic SEO package.

01

Run the audit

We test real customer questions and score the site on understandability, trust, routing, and competitor delta.

02

Fix the gaps

We clean up the highest-value facts, pages, schema, and agent-facing profile so assistants can cite you confidently.

03

Verify the answer

We rerun the prompts and show whether the assistant can now understand, trust, and recommend the business.

Start with proof. Then decide what to fix.

Pricing comes after the evidence because the snapshot should make the next move obvious.

Recommendation Audit

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

$99
  • AI answer test
  • Top recommendation blockers
  • Competitor comparison
  • Plain fix list

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.

Open sample snapshot