How often does AI recommend a business?

In BizLoc8's 2026 benchmark of 6,270 AI answers across 190 businesses, AI named competitors roughly 5 times more often than the brand being searched for. Up to 42% 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 42% of businesses never mentioned, followed by ChatGPT at 26% and Perplexity at 21%.

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

The brands that AI named consistently had three things: consistent business listings across Google Business Profile and directories, structured data (schema) that models can parse, and answer-shaped content that directly answers the questions buyers ask.

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

We analysed 6,270 real answers from ChatGPT, Gemini and Perplexity for 190 businesses across 378 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

42%

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.

Gemini42% invisible

ChatGPT26% invisible

Perplexity21% invisible

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.

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 #59%

#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

The businesses that showed up were not the biggest. They were the most legible to a model. AI pulls from a specific set of signals, and the brands that win have made themselves easy to cite.

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

190 businesses analysed across 378 cities
1,602 buyer-intent prompts (category and location specific)
6,270 individual AI answers captured and scored
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.

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. It is directional rather than a universal census, but the pattern held consistently across all three engines. Figures reflect the data as of the study period and are refreshed periodically. Source: BizLoc8.