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Example audit

What the free audit actually reveals.

This is an illustrative sample, not a client result. It shows the diagnostic logic: what AI systems can understand, what blocks them, and which fixes should happen first.

47
illustrative score · needs work

Imagine a real, trust-sensitive local business: good reviews, a credible team, useful services, and a website that looks fine to a person. The question is not whether the business is legitimate. The question is whether AI systems can understand and recommend it with confidence.

In this sample audit, the business has enough public proof to be recommended, but the proof is fragmented. The audit turns that vague problem into a ranked fix list.

Diagnostic view

Six practical checks, not a technical lecture.

Crawler readiness62

Readable pages, but weak machine-readable guidance.

Structured data34

Basic organization data only. Missing local and service detail.

Answer-focused content48

Service pages explain the offer, but not the questions customers ask AI.

Entity and credibility signals39

Proof exists, but it is not connected across the web.

Local profile consistency57

Core listings exist. Categories, names, and service areas drift.

Review and reputation signals44

Reviews are visible to people, but weakly summarized for AI systems.

A free audit is meant to answer one business question: what is stopping AI systems from understanding and recommending you?

The score is a triage tool. The useful part is the finding underneath it: which blocker matters most, whether it can be fixed quickly, and what order the work should happen in.

Sample findings

What a blocker looks like in plain English.

01
Blocker

AI can see the website, but it cannot form a clean business profile.

The homepage says what the business does, but the site does not give answer engines a reliable package of name, services, locations, phone, credentials, review sources, and official profiles.

Why it matters: AI systems have less confidence naming the business in recommendation answers.

02
Blocker

The strongest trust signals are scattered.

Reviews, professional credentials, local listings, press mentions, and staff expertise appear in different places. None of them are tied together with structured data or clear sameAs links.

Why it matters: A competitor with weaker proof but cleaner signals can look easier to verify.

03
Blocker

Service pages do not answer buyer questions directly.

The pages describe services, but they do not clearly answer practical questions about who the service is for, what happens next, how to compare options, and what makes the provider trustworthy.

Why it matters: AI systems have fewer quotable passages to use when a customer asks a specific question.

04
Blocker

The local footprint is inconsistent.

Directory categories, profile descriptions, service areas, and naming conventions are not aligned. Nothing is catastrophic, but the combined signal is fuzzy.

Why it matters: Local recommendation answers are more likely to name businesses with cleaner profile consistency.

How it becomes a plan

The audit should tell you what to do next.

1

Create a clean entity layer

Add structured data and profile links so AI systems can verify the business, locations, services, and official profiles without guessing.

2

Rewrite high-intent pages around answerable questions

Turn service pages into clear, quotable answers for the questions customers ask before they choose a provider.

3

Connect credibility signals

Tie reviews, credentials, press, team expertise, and third-party profiles back to the business entity.

4

Clean local profile consistency

Align categories, names, descriptions, service areas, and review profile data across the places AI systems read.

Audit versus scan

The free audit diagnoses. The scan measures.

The free audit is the lead-in: fast, practical, and focused on blockers. It gives you a prioritized action list.

The AI Visibility Scan is a paid-customer measurement product. It runs roughly 500 prompts across AI platforms, takes roughly 5-10 hours, and measures whether the business is named, absent, or losing to competitors. It is baseline and recurring measurement. It does not recommend fixes.

01

The free audit identifies blockers and ranks next steps.

02

The paid AI Visibility Scan measures live AI answers across roughly 500 prompts.

03

The scan reports whether you are named, absent, or losing to competitors. It does not recommend fixes.

Find your blockers first.

Send your URL. Forecite will run the free audit and show the highest-priority next steps before you spend anything.

Request your free audit