What happens at each step

1. Submit benchmark inputs

You provide the business, category, services, city/state, known competitors, and contact details. The free step does not require a website URL.

2. Sample AI recommendation prompts

We log prompts, systems sampled, raw outputs, target appearances, competitor mentions, and referral/recommendation counts.

3. Review benchmark evidence

The benchmark review explains what the sampled results showed, what they do not prove, and whether optional deeper review is needed.

4. Decide whether deeper review is needed

The optional deeper review is where website clarity, proof gaps, location confusion, and other issues that may be helping competitors show up first are diagnosed.

5. Choose optional help only after the benchmark

If deeper work is later chosen, fixes can be scoped, published, measured, and refined over time.

What never happens in the free benchmark

We do not crawl your website, score pages, diagnose robots/sitemaps, or give page-level website recommendations inside the free benchmark.

Public proof you can inspect before you request the benchmark

Why buyers take this seriously

Buyers can verify Matt LaClear’s public SEO background before requesting the benchmark. The free benchmark stays narrow: sampled AI recommendation answers, competitor/source patterns, and a recommended next step.

Verify Matt LaClear's background
  • MattLaClear.com public profile and media page
  • 17 years / 13,277+ campaigns stated on MattLaClear.com/media
  • DigitalMarketer podcast appearance
  • No ranking, lead, or revenue guarantees

Decision checkpoint

Check whether this process finds a local visibility gap

Start with the sampled benchmark, then decide whether the visibility gap is real enough to investigate further.

Start the Free AI Referral Visibility Benchmark
Start the AI benchmark intake assistant

Where this fits

The AI referral visibility benchmark path

Every step answers one first question: are you being surfaced, skipped, or outranked in sampled local AI answers?

Free AI Referral Visibility Benchmark

Are AI systems recommending you, ignoring you, or recommending competitors?

Benchmark Review

What did the sampled results show?

Optional next decision

After the benchmark, decide whether any deeper review or help is needed.

Platform scope

ChatGPT-first does not mean Google-last.

The process prioritizes ChatGPT when standalone AI referral measurement is available, while still treating Google AI, Search, GBP, crawlability, and helpful local content as core discovery infrastructure.

Free benchmark

Counts only the listed systems, prompts, and captured answer samples.

$97 audit

Connects benchmark symptoms to page types, proof sources, and measurement evidence when available.

No overclaiming

No ChatGPT, Gemini, Claude, ranking, lead, or revenue claim is made unless the evidence was actually tested or measured.

Public background

Why the person reviewing the benchmark matters

Matt’s public profile, media page, and published work are available before you decide whether the benchmark or any deeper review is a fit.

Verify Matt LaClear's public background

Start with sampled AI Referral Visibility evidence.

Then decide later whether a optional deeper review is the right next step.

Request the Free Benchmark