How often does AI recommend a business?

In BizLoc8's 2026 benchmark of 6,678 AI answers across 215 businesses, pulled 10 September 2026, AI named competitors roughly 5 times more often than the brand being searched for. Up to 44% of businesses were never mentioned at all on Gemini. However, when a business was named, it was the number one recommendation 51% of the time.

Which AI engine is hardest to appear on?

In this benchmark, Gemini had the highest invisibility rate at 44% of businesses never mentioned, followed by ChatGPT at 32% and Perplexity at 20%. Per-engine coverage is uneven (Gemini 203 businesses, ChatGPT 118, Perplexity 104), so the gaps between engines are directional rather than exact.

What makes a business more likely to be recommended by AI?

This benchmark measures who gets named and where they rank; it does not isolate the cause. Based on how the engines source their answers, the practical levers are consistent business listings across Google Business Profile and the directories AI reads, structured data that models can parse, and content shaped around the questions buyers actually ask. BizLoc8 is running a separate analysis of what named brands have in common and will publish it when it is ready.

AI Visibility Benchmark · 2026

When customers ask AI who to buy from, is your name in the answer?

Name: BizLoc8 AI Visibility Benchmark 2026
Creator: BizLoc8
Published: 2026-09-10

We analysed 6,678 real answers from ChatGPT, Gemini and Perplexity for 215 businesses across 417 cities. Here is how often AI actually recommends a brand, and what separates the ones it names.

Check your AI visibility

5×

more often AI named a competitor than the brand itself

44%

of businesses were invisible on Gemini, never mentioned once

51%

of the time, a named business was the #1 pick

~9 in 10

mentions were positive in tone when AI did name a brand

Most businesses are invisible to AI

For a large share of the businesses we tested, AI never surfaced them at all when a buyer asked for a recommendation in their category and city. The rate varies by engine, but on every one, a meaningful chunk of brands simply do not exist as far as the model is concerned.

Gemini44% invisible

ChatGPT32% invisible

Perplexity20% invisible

Each engine was measured on a different number of businesses (Gemini 203, ChatGPT 118, Perplexity 104), so treat the gaps between engines as directional rather than exact.

And when a brand did appear, it was heavily outnumbered: across all answers, AI named competitors roughly five times more often than the brand being searched for (11,375 competitor mentions against 2,120 brand mentions).

But visibility is winnable

Here is the hopeful half of the data. When AI did name a business, it usually placed it right at the top. More than half of all mentions were the number one recommendation.

#1 (top pick)51%

#220%

#38%

#4 to #510%

#6 or lower12%

Being named is not a coin flip you cannot influence. It is a position you earn, and once earned, it tends to be a strong one.

What separates the brands AI names

A word on what this benchmark does and does not show. It measures who gets named and where they rank. It does not isolate the cause. What follows is the practical read from working on these audits and from looking at which sources the engines actually pull, not a controlled finding from the numbers above. We are running the trait analysis separately and will publish it when it is ready rather than assert it now.

Consistent listings

Clean, matching business information across Google Business Profile and the directories AI reads. Inconsistency makes a brand hard to trust and cite.

Structured data

Schema and clearly labelled entities so a model can parse exactly what you do, where, and for whom, without guessing.

Answer-shaped content

Pages written to answer the exact questions buyers ask, not just to read well for a human browsing. Most sites still do the latter.

The takeaway

AI visibility is not luck. The brands that get named made themselves easy to cite, and most of their competitors have not started. That is the opening.

Methodology

215 businesses analysed across 417 cities
1,726 buyer-intent prompts (category and location specific)
6,678 individual AI answers captured and scored
Per-engine coverage is uneven: Gemini 203 businesses, ChatGPT 118, Perplexity 104
Three engines: ChatGPT, Gemini and Perplexity
"Invisible" = the business never appeared across its prompts on that engine. "Mention" = it appeared in the answer to a relevant prompt. "Competitor" = another brand named in those same answers.

Figures pulled 10 September 2026. Note on scope: this sample is drawn from businesses that ran a BizLoc8 AI visibility audit, skewed toward local and small-to-mid businesses in India and Southeast Asia. It is directional rather than a universal census, but the pattern held consistently across all three engines. One caveat worth stating plainly: the base has roughly doubled since our July cut and now includes many businesses running a single first audit, which pushes the invisibility rates up. Some of the rise since the last refresh is that change in who is in the sample, not purely a deterioration in AI visibility. We refresh these numbers monthly and date them so drift is visible rather than silent. Source: BizLoc8.