The Faro AI Visibility Assessment: What We Check and Why It Matters
Key takeaways
- An AI visibility assessment has three parts: query sampling, citation source audit, and gap analysis.
- The most common reason Miami small businesses are invisible in AI results is incomplete or inconsistent information across citation platforms — not a lack of reviews.
- Businesses that fix their citation infrastructure first tend to see measurable AI visibility changes within 60 to 90 days.
The first question most business owners ask when they learn about AI search visibility is: "Am I showing up?"
The honest answer is: it depends on the query, and you probably don't know.
Unlike Google, where you can type your business name and see your ranking, AI search doesn't have a results page to check. ChatGPT gives different answers to different phrasings of the same question. Claude might cite your business for some query types and not others. Perplexity draws on different source weightings than either.
This is why an assessment process matters before any improvement work begins. You can't fix what you can't measure.
What does an AI visibility assessment actually check?
A Faro AI visibility assessment has three components: a structured query sample across AI platforms, a citation source audit, and a gap analysis that connects the two.
The query sample is the most labor-intensive part. We run 15 to 20 distinct queries across ChatGPT, Claude, Perplexity, and Gemini — queries that represent the actual language a customer might use to find a business like yours. For a Hialeah auto repair shop, that might be: "trusted mechanic in Hialeah", "where to get my car fixed near Hialeah", "good auto repair shop for a Toyota in Miami-Dade." We vary the phrasing, the specificity, and the platform, and we record which businesses get named, how often, and in what context.
The citation source audit identifies which sources each AI platform is drawing on for businesses in your category. This varies by industry. For restaurants, Yelp and TripAdvisor carry the most weight. For professional services — accounting, legal, medical — Google Business Profile and industry-specific directories tend to dominate. For home services like HVAC and plumbing, Angi (formerly Angie's List), HomeAdvisor, and Nextdoor matter alongside the general platforms.
The gap analysis maps your citation presence against the sources that matter most in your category, identifies where you're missing or inconsistent, and prioritizes actions by estimated impact.
Why do some businesses show up in AI results and others don't?
The single most consistent predictor of AI citation is information consistency and depth across multiple platforms — not review score, not website quality, and not social media following.
This surprises most business owners. They assume the business with the most five-star reviews wins. That's true on Google search, where reviews are a primary ranking signal. It's not how AI citation works.
What AI systems are doing, at a simplified level, is assembling information from multiple sources to form a recommendation. A business that appears on Yelp with the same address and hours as its Google Business Profile, and that's also mentioned in a local news article, and that has a current TripAdvisor listing — that business has high citation coherence. Multiple independent sources agree on the same entity. That coherence makes the AI more confident in citing it.
A business with 400 Google reviews but no Yelp presence, no local press mentions, and an outdated Google Business Profile has low citation coherence. Even with strong reviews, it's at a disadvantage.
The other major factor is local press. A single article in the Miami Herald, Eater Miami, or a neighborhood publication creates a third-party citation that AI systems weight heavily. It functions like a reference — an independent source saying "this business exists and is noteworthy." For businesses in competitive categories (restaurants, beauty, home services), local press coverage is often the differentiating factor.
What makes a business "AI-citable"?
An AI-citable business has complete, consistent information on the platforms AI reads most, at least one third-party editorial mention, and an active managed presence (recent reviews, recent photos, recent responses) that signals the business is currently operating.
Breaking that down:
Completeness means every field on every major platform is filled in. Business name, address, phone number, hours, description, category, and photos. Not partially filled — fully. AI systems interpret empty or sparse profiles as low-confidence sources.
Consistency means the same information everywhere. If your restaurant is "El Palacio de los Jugos" on Yelp and "El Palacio" on Google and "El Palacio Restaurant" on TripAdvisor, that inconsistency creates uncertainty about whether these are the same entity. Standardize your name, address format, and contact information across every platform.
Third-party editorial mentions are harder to manufacture but more powerful. A local journalist writing about your business creates a durable citation that AI systems treat as a credibility signal. Earned press matters more here than paid advertising.
Active management signals tell AI systems (and the people who train them) that the business is current. Stale profiles — no new photos in a year, no owner responses to recent reviews, outdated hours — read as lower confidence. Simple ongoing activity keeps your profile fresh.
What does a realistic improvement timeline look like?
For a Miami small business starting from a typical baseline — active Google Business Profile, some Yelp reviews, no local press — the timeline from assessment to measurable AI visibility improvement is generally 60 to 90 days.
The first two weeks are the assessment itself. The next 30 days are the highest-priority fixes: correcting information consistency issues, completing sparse profiles, and submitting to any missing relevant directories. These are mostly one-time tasks.
The longer-duration work — getting local press coverage, building review depth on secondary platforms, establishing presence in industry-specific directories — unfolds over months, not weeks.
What we've observed is that the consistency fixes tend to produce the earliest results. A business that had conflicting address formats across platforms often sees improvement within a single AI platform update cycle after standardizing.
The local press milestone is less predictable but higher-impact. When it happens — when a neighborhood blog runs a feature or a food critic mentions the restaurant — the citation effect can be rapid and durable.
We track all of this through monthly query sampling, so clients get a written report each month showing exactly which queries they're appearing in, how that's changed from the previous month, and what the next-priority action is.
We're currently accepting early clients for AI visibility assessments in Miami-Dade and Broward County. Join the waitlist to get started — we're onboarding ten pilot clients and will work with each one directly.
Further reading:
Frequently asked questions
- How long does an AI visibility assessment take?
- The assessment itself takes about two weeks: one week to collect query data across AI platforms, and one week to audit citation sources and compile the report. The output is a two-page written summary and a prioritized action list. Most clients can complete the highest-priority actions within 30 days.
- Will the assessment tell me exactly why I'm not showing up in AI results?
- It will tell you the most likely reasons based on what we observe in your citation profile relative to competitors who are showing up. AI systems don't publish their reasoning, so there's always some uncertainty — but the citation source patterns are consistent enough that we can give confident prioritization guidance.
- How do you know the assessment methodology actually works?
- We built the methodology by reverse-engineering AI citation patterns: systematically testing which source types, information completeness factors, and citation depth correlate with AI recommendations for local businesses in Miami. We're refining it continuously as we work with early clients. This is new territory — we'll be transparent about what we know and what we're still learning.
Want this for your business?
Faro tracks how AI recommends Miami businesses and gets you cited where it matters.