Frequently Asked Questions
Get found. Get recommended. Get the details.
Straight answers on how AI search works, why some businesses show up in ChatGPT and Perplexity and others don’t, and what it takes to change that. Browse by topic below, or jump straight to your question.
AI Visibility Tools
What are the best AI visibility tools for small businesses?
The tools that matter aren’t ad platforms. They’re structural fixes — a consistent Google Business Profile, schema markup, third-party citations, and content that answers buyer questions in plain language.
AI platforms don’t accept paid placement. So “tools” here means diagnostics that reveal what’s missing, not media buys.
Our Light Diagnostic scores a business across the Six Variables — Discoverability, Interpretability, Verifiability, Consistency, Comparability, and Buyer Readiness. It identifies the specific gap keeping you invisible to AI search, free and in about 60 seconds.
AI Discoverability Audits
What does an AI discoverability audit measure?
An AI discoverability audit tests whether AI platforms can find, describe, and recommend a business using only public data. It’s the same way a buyer would ask ChatGPT or Perplexity for options in a category.
It scores six factors:
- Discoverability — how easily you surface in a category search
- Interpretability — whether AI describes you correctly
- Verifiability — whether independent proof exists
- Consistency — whether your name, address, and phone match everywhere
- Comparability — whether you appear when AI compares options
- Buyer Readiness — whether a buyer’s questions get answered before they’d need to call
We run this exact audit as a free Light Diagnostic. You get a score plus the single biggest gap.
NAP Consistency
How does name, address, and phone (NAP) consistency affect AI search results?
AI platforms cross-reference multiple sources before recommending a business. That includes your Google Business Profile, directories, social profiles, and your own website. When your name, address, or phone don’t match across those sources, AI’s confidence in the recommendation drops.
Inconsistent NAP data is one of the most common reasons an established business gets skipped. A newer competitor with cleaner data often gets the recommendation instead.
Fixing it means auditing every place your business is listed and matching the details exactly. That includes formatting — “St.” vs. “Street” — plus retired suite numbers and old phone numbers still sitting on legacy listings.
It’s also one of the faster gaps to close. That’s why it’s scored as its own variable in our free diagnostic.
AI Procurement & Supplier Discovery
How do international buyers use AI to find suppliers?
Buyers increasingly use AI platforms to pre-screen suppliers before first contact. They ask for exporters in a category, region, or commodity, and get a shortlist back without a phone call.
That means your structured, public information has to answer a buyer’s due-diligence questions before they ever reach out. That’s certifications, regulatory compliance, verifiable trade history, and bilingual content.
For LATAM exporters, this matters most in regulated commodities like cacao, flowers, seafood, and oil. Verifiability against public standards carries more weight than a sales pitch.
This is the exact gap our exporter diagnostic is built to close.
AI Replacing Google
Is AI replacing Google Search for finding businesses?
For many buyers, yes. Asking ChatGPT, Perplexity, or Google’s AI Overviews for a recommendation is replacing an older habit. Buyers used to scroll a list of links and compare sites one by one.
AI gives a direct answer instead of a list of options. A business either makes that shortlist, or isn’t mentioned at all.
Traditional SEO tactics don’t move an AI’s answer the way they moved a Google ranking. Backlinks, keyword density, and ad spend carry far less weight. AI accepts no advertising and reads structured, verifiable information instead.
Whether your business currently makes that shortlist is exactly what an AI-Selected score tells you.
SEO vs. AI Discoverability
What’s the difference between SEO and AI discoverability?
Traditional SEO optimizes to rank on a results page a human scrolls through. AI discoverability optimizes to be the answer an AI gives directly, with no page to scroll.
SEO tactics like backlink building and keyword targeting still help AI find a site. But they don’t guarantee AI can describe the business accurately, or trust it enough to recommend it. That depends on structured, verifiable, consistent information across public sources.
The two overlap at the Discoverability layer, then diverge. SEO stops at ranking. AI discoverability also has to earn interpretation, verification, and comparison.
Our Six Variables framework is built specifically to pick up where SEO leaves off.
ChatGPT vs. Perplexity
Which AI platform surfaces local businesses better — ChatGPT or Perplexity?
Perplexity leans heavily on live web citations. It tends to surface businesses with strong, recent third-party mentions.
ChatGPT blends its training knowledge with real-time lookups and Google Business Profile–style local data, when browsing is enabled.
Neither platform accepts paid placement. So the practical answer is the same either way. The businesses that show up have consistent, verifiable, well-structured public information — not the biggest ad budget.
The more durable approach is building the underlying signal both platforms read from. That beats optimizing for one platform over the other. It’s what a Six Variables audit is built to strengthen.
Getting Recommended by AI
Why won’t AI recommend my business?
The most common reasons:
- Discoverability gap — you don’t come up at all for your category and location
- Interpretability gap — AI can’t tell exactly what you do or who you serve
- Verifiability gap — there’s no independent evidence behind your claims, like reviews or certifications
- Consistency gap — your name, address, and phone don’t match across listings
AI platforms don’t accept advertising. So a low-visibility business doesn’t fix this by spending more. It fixes it by correcting the underlying structured data these systems read from.
A free Light Diagnostic shows you which of the four is actually holding you back, instead of guessing.
AI-Selected & Scoring
What is AI-Selected?
AI-Selected is Hola CEOs’ term for the capacity to be Found, Understood, and Selected by AI platforms. That’s ChatGPT, Perplexity, Google AI Overviews, and Gemini — whenever a buyer asks for recommendations in a category.
It’s measured with a 100-point score across six variables: Discoverability, Interpretability, Verifiability, Consistency, Comparability, and Buyer Readiness.
A business scoring low is typically missing structured signal in one or two variables, not failing across the board. That’s why the score comes with the single biggest gap, not a generic report.
Getting your own score takes about 60 seconds and costs nothing.
How AI Finds Local Businesses
How does AI find local businesses?
AI platforms pull from live web data, Google Business Profile information, and third-party directories and review sites. Platforms with browsing enabled add real-time search results on top. They cross-reference all of it for consistency before recommending a business.
A business that isn’t showing up usually has a gap in one of two places. Either it’s genuinely thin on public, structured information — a Discoverability problem. Or the information exists but is inconsistent or unverifiable across sources — a Consistency or Verifiability problem.
A free AI-Selected diagnostic tells you which one it is.
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