Data study · Inspeccia

60% of businesses are invisible on Google to their own customers

During May 2026 we ran hundreds of visibility analyses on real websites: businesses of every type, size and country that wanted to know how Google sees them. The aggregate result is starker than we expected. Six out of ten are completely invisible on Google for the keywords they sell on. Not on page two. Nowhere.

We're not talking about ambitious or generic keywords. We're talking about each business's own commercial terms: what a customer would type right before buying. For 60%, that customer never finds them. And because almost nobody looks at what doesn't show up, most don't even know they have the problem.

Here's what the data shows, with no names and no spin.

How this study was done

Each of the analyses queries Google's first page live for ten to twelve of the site's own commercial keywords —the ones we detect from its content and category— and measures how many it appears for. That yields a visibility score from 0 to 100: a 0 means the site appears in none of its commercial searches; a 100, that it dominates them all.

Every number below is aggregated and anonymized. We publish no URL, no brand name and no contact detail of the businesses analyzed: this study is about the set, not about anyone in particular. The window is May 2026, so it's a recent snapshot, not a historical trend.

The number that hurts

60.2%

of analyzed sites are completely invisible on Google (score 0) for their own commercial keywords.

12.8

is the average visibility score, out of 100. The market "average" sits far closer to zero than to halfway.

14.2%

of its own commercial searches is where the average site appears. In the other 86%, it isn't there.

≈4×

better scores the average competitor (around 49/100) than the average analyzed site (around 13).

Averages mislead, so it's worth looking at the full distribution. It isn't that there are many mediocre sites and a few good ones: it's that the vast majority sits near zero and a tiny handful dominates.

How the analyzed sites split by visibility score

0 (invisible)60.2%
1 – 2520.0%
26 – 5010.4%
51 – 756.4%
76 – 1003.0%

Bar width proportional to the share of sites in each band. Base: the full study, May 2026.

Eight in ten sites score 25 or less. Only three in a hundred clear 75. If the market were a class, almost everyone would be failing and the "average student" would score barely over one out of ten.

Being on the internet isn't the same as being online

The most revealing cut appeared when we separated local businesses —those that depend on nearby customers, with a map listing— from those selling nationally or online. The gap is huge, and it runs against many people's intuition.

Percentage of invisible businesses, by type

Non-local / online81.3%
Local49.7%

Non-local: ≈a third of the base, average score 3.9. Local: ≈two thirds, average score 17.2.

The purely online business, with no geographic anchor, is the most invisible of all: 81% don't appear at all. It makes sense. The local business gets an enormous boost from Google —the map, the listing, the "near me" searches— that the national business doesn't. Whoever competes on the open internet, without that safety net, plays in the toughest league, and most are losing it.

The barefoot cobbler paradox

If there's one finding in this study built to sting, it's this. We grouped all the sites in the study by market vertical, and the worst-scoring sector —the most invisible of all— is marketing and web-design agencies.

Average visibility score by vertical (out of 100)

Food / Hospitality41.9
Travel / Tourism19.3
Health / Clinics17.6
Ecommerce12.6
Professional / Legal6.1
Marketing / Agencies6.9

Verticals with sufficient sample, except Food (small sample, included for contrast).

The marketing and web-design agencies we analyzed averaged a 6.9 score, and 72.5% were completely invisible. In other words: the companies that sell visibility to their clients are, on average, among those with the least visibility for themselves. The barefoot cobbler, SEO edition.

The most charitable explanation is the most likely one: an agency bills for client work, not its own, so its site is always left for "when there's a gap" —which never comes—. On top of that, they compete in one of the most saturated niches there is, full of other agencies who also know SEO. The result is a sector that preaches what it doesn't practice.

At the other end, food and hospitality appear best (score 41.9, only 25% invisible). No coincidence: restaurants and food businesses live off Google Maps and local searches, exactly the terrain where Google helps you show up most.

The competitor is almost always better positioned

Each analysis doesn't look at the site in a vacuum: it compares it against its real competitors at the top of Google. And there the picture is consistent. While the analyzed site averages a score near 13, the average competitor showing up in those same searches sits around 49: nearly four times more visible.

There's a finer detail that stings just as much. In 66.6% of analyses, at least one competitor beats the site to the rich snippets —those enriched results with stars, prices or questions that take up more space and pull more clicks—. Two out of three businesses are, literally, at a visual disadvantage on the very results page where they should be competing.

And it isn't for lack of demand: in 51% of cases there were advertisers paying to appear on those keywords. Someone knows those searches are worth money. Almost always, it isn't the owner of the analyzed site.

The pattern repeats so often it's worth stating plainly: most businesses aren't competing badly on Google; they simply aren't competing at all. They don't show up. And what doesn't show up can't be improved, because it isn't even measured.

Want to see where you stand? Run the same analysis, free — every site in this study started the same way.

What this has to do with artificial intelligence

This study measures visibility on Google, not on ChatGPT. We say that clearly so as not to inflate anything. But the connection is direct and worth understanding, because that's where the problem turns most urgent.

AI models don't invent who to recommend: they learn from the same web where these businesses are invisible. If a site doesn't appear for its own keywords, is barely mentioned by others and has competitors filling all the space, there's no material from which a model could conclude that brand matters in its category. The signals that sink you on Google —little presence, few mentions, low authority— are, per the available research, the same ones that decide whether AI names you. We unpack it in our guides on GEO and E-E-A-T.

Put simply: if you're invisible to Google, you're almost certainly invisible to ChatGPT too. Search visibility isn't an old topic that AI makes obsolete; it's the floor on which AI visibility is built. And this study shows that, for most, that floor doesn't exist yet.

What to do with this

If you run a business, the practical takeaway isn't depressing, it's encouraging: the bar is on the floor. When 80% of the market scores 25 or less, genuinely appearing for a handful of your commercial keywords already puts you ahead of nearly everyone. You don't need to dominate Google; you just need to stop being invisible.

The first step isn't producing more content or spending on ads: it's to measure. To know which of your commercial keywords you appear for and which you don't, and who's taking your place. Without that diagnosis, any investment is blind —and the data above suggests most are investing, or not investing, without looking at the scoreboard.

And if you run an agency: look at your own site before the next client's. The odds, by these numbers, aren't on your side.

Frequently asked questions

Where does this data come from?

From the hundreds of real analyses we ran on websites in May 2026. Each analysis queries Google's first page live for ten to twelve of the site's own commercial keywords and measures how many it appears for. The data is aggregated and anonymized: we publish no URL, name or contact detail of any business analyzed.

What exactly does the "visibility score" measure?

It measures a site's presence on Google's first page for its own commercial keywords, on a 0-100 scale. A 0 means the site appears in none of its commercial searches; a 100, that it dominates all of them. It isn't a traffic or product-quality metric: it's pure search visibility for the terms that business would want to show up for.

Why do marketing agencies score so badly?

It's the most talked-about finding of the study. The marketing and web-design agencies analyzed averaged a 6.9 score, and 72.5% were completely invisible. The reasonable hypothesis: they prioritize billable client work over their own, and compete in a category saturated with other agencies who also know SEO. The cobbler's children go barefoot.

What does this have to do with AI visibility?

The same signals that make you invisible on Google —little presence, few mentions, competitors taking your space— are, per the available research, the ones that also decide whether ChatGPT or Perplexity name you. If a business doesn't appear for its own keywords, it's very unlikely AI recommends it. Search visibility is the floor of AI visibility.

Methodology and data source

  1. Base: hundreds of visibility analyses run by Inspeccia on real websites between May 14 and 29, 2026 (≈73% in English, ≈27% in Spanish).
  2. Metric: presence on Google's first page for 10-12 of each site's own commercial keywords, queried live. Score normalized 0-100.
  3. Privacy: aggregated and anonymized data. No URL, name or contact detail of analyzed businesses is published.
  4. Verticals: grouped from the category detected in each analysis. Only cuts with sufficient sample are reported; small-sample cuts are flagged as such.

Are you in the invisible 60% or the 3% that dominates?

Inspeccia's analysis tells you, free and in 90 seconds, which of your commercial keywords you appear for on Google, who's taking your place and how AI describes you. It's the same analysis that generated the data in this study.