seacoastCited.
AI-Visibility Audit

01

The headline gap

The single most important query — the one a ready-to-hire customer actually types — and who the AI hands them to.

02

The visibility scorecard

Every high-intent query × every AI engine. Green = named & recommended. Red = the engine names a competitor, not you.

Named & recommended Named but buried Invisible (competitor named) Inaccurate info Manual check pending
[ screenshots of each engine's answer are embedded here per query — the receipts ]
03

Who the AI recommends instead

Across every check, this is who the engines named — and how often. Share of voice is the market the AI is currently handing out.

04

Why this is happening

This is mechanical, not mysterious. Each cause ties to a fixable lever — which is exactly the work that moves you from invisible to named.

Likely cause
The tell
The fix
The engines don't know who you are (no entity)
No / thin schema markup, inconsistent name-address-phone across the web, sparse Google Business Profile
Entity foundation: Organization/LocalBusiness schema, sameAs links, GBP overhaul
No extractable answers on your site
Site is brochure-ware — no question-shaped headers the AI can lift an answer from
Answer-first content layer + FAQ / Service schema
Weak third-party corroboration
Few reviews; absent from the "best of" lists and directories the engines read
Reputation + citation building on sources engines trust
Competitors already did the work
The named businesses have reviews, content, and a clean entity you don't yet
Out-execute on all three — and track it monthly
05

What it's costing

Conservative estimate

Deliberately conservative — real high-intent volume is usually higher. We never overclaim attribution; AI-search measurement is new and we say so. The point isn't the exact dollar; it's that every named-competitor cell is work quietly routed elsewhere.

06

The path from invisible to named

One-time Foundation installs the plumbing and fixes the causes above. The monthly retainer compounds the signals and tracks every one of these queries so you can watch yourself move.

01
Foundation (one-time).

Entity foundation, schema, GBP overhaul, first answer-pages, and your baseline dashboard — the visible early win in the first few weeks.

02
Monthly retainer.

Answer-first content + corroboration placements, with a monthly dashboard tracking named-or-not per engine, share of voice, and leading indicators — reported honestly, movement and all.

03
The proof loop.

Re-run this exact scorecard every month. Watch the grid go from red to green. That's the whole product: visibility you can see.

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