
An AI business audit scores a local service website against fixed methodology in under a minute — the same seven layers whether it’s an HVAC contractor in Phoenix or a window company in Pennsylvania. On ARDMOR Windows & Doors, a $2M+ contractor, it surfaced eleven specific fixes in under thirty seconds.
This is the Analysis layer of the MAA framework — Metrics, Analysis, Action — compressed so the human team moves straight to execution. It is not a generic crawl and not a vanity report. Here is exactly how the audit works, so an agent or a person can reproduce it on any contact page.
Start With The Contact Page
Most owners treat the contact page as an afterthought — a phone number, an email, maybe a form. Google treats it as a primary source of entity, service, and location signals, which makes it the highest-leverage page on the site and the most consistently under-optimized.
It is also where the fixes pay back fastest, because they are concrete: an H1 rewrite, a city list, a schema block, an FAQ section. Moving from position four to position one in the local map pack roughly doubles or triples call volume for most local categories.
Run The Seven Layers In Order
An agent runs all seven layers on every audit, then returns findings ranked by revenue impact. A reviewer can open any contact page and reproduce the same findings from this list.
| Layer | What the agent checks | Common failure |
|---|---|---|
| 1. NAP & entity | Name/address/phone vs GBP, schema, Wikidata | Tracking number not on GBP |
| 2. Heading hierarchy | H1 names business + service + geography | “Contact Us” tells Google nothing |
| 3. Service area | Every dispatch city named + linked | Only a region, no city names |
| 4. Schema markup | LocalBusiness, AggregateRating, FAQPage JSON-LD | Looks credible, tells Google nothing |
| 5. Entity authority block | License, years, rating, certs in one block | Signals scattered across sections |
| 6. Conversion & trust | Response promise, review, photo, mobile call-tap | Ranking that never books a job |
| 7. FAQ & intent | Top 5–10 customer questions with FAQ schema | No FAQ — the most common gap |
Open any local business contact page and check Layer 2 first: does the H1 name the business, the service, and the city, or does it just say “Contact Us”? That single heading is the highest-leverage, twenty-minute fix on most local sites — the first thing a young agency owner should look for.
Rank Fixes By Revenue, Not Severity
The audit ranks findings by money, not by how broken they look. A 100% gain on two clicks a week is still four clicks; a 20% gain on a hundred clicks a week is twenty extra clicks. At a $3,500 average ticket for a window replacement — or $8,000 for a full HVAC install — those twenty clicks are real jobs on the schedule.
For most contact pages the priority order lands the same way: rewrite the H1 with service and geo, add an FAQ section with schema, expand the service area with specific city names, consolidate the entity authority block, implement full schema, then strengthen trust near the form.
See It Applied: ARDMOR Windows & Doors
ARDMOR is a real $2M+ contractor with a 4.9-star rating, over 1,300 reviews, and valid license numbers in two states. The contact page looked credible to a human, yet the audit returned eleven fixes in under thirty seconds — every one mapped to a layer above.
The H1 read “CONTACT — How can we help?” instead of naming the business, service, and geography (Layer 2). The page named Pennsylvania and New Jersey but never Philadelphia, Willow Grove, Doylestown, Cherry Hill, or Hackensack (Layer 3). License numbers and years in business were scattered across three sections (Layer 5). There was no FAQ section and no FAQ schema (Layer 7), and no LocalBusiness, AggregateRating, or GeoCoordinates JSON-LD at all (Layer 4). The agent ranked the H1 first, the FAQ second, the city list third.
Pull the client’s dispatch list from ServiceTitan, Housecall Pro, or Jobber and count the cities. Then count how many appear by name on the contact page. Every missing city is a missed map-pack ranking — a finding you can quantify in minutes and hand straight to the client.
Run It Yourself, With An Agent, Or With Us
The methodology is the same regardless of who runs it. Work the seven layers top-to-bottom and ship the fixes in priority order — this article is the SOP. Or feed a contact page URL to an AI agent with the seven layers as the prompt scaffold and have it return a ranked report across an entire client roster.
The whole approach is downstream of real operator experience and validated on conference stages and in production deployments. To see the broader engagement and the full audit hub it sits inside, start with the Quick Audit.
We will run this exact agent-driven audit on your contact page and hand you the fixes ranked by revenue impact — the highest-leverage ones first.
