You Can Be #1 on Google and Still Get Almost No Visitors

I pulled raw Google Search Console data from several B2B SaaS websites across industries like fintech and logistics, to answer one question:

If you rank, do people still click?

The data suggests ranking alone is doing a lot less than it used to.

Here's what I found, and what I think that means for where B2B SaaS teams should spend their money this quarter.

P.S.: This is the pattern I saw across the sites I looked at, not a universal benchmark. Read the numbers as something to check against your own Search Console data, not a rule that holds for every B2B SaaS site.

01 · The old SEO rule is breaking

Ranking near the top of Google barely guarantees traffic anymore

For years, SEO followed a simple rule: rank higher and more people click.

That relationship has weakened a lot.

To see what rankings are actually worth for discovery, I removed branded searches and login-related queries. That leaves the searches from people who don't already know the company.

Even near the top of Google, very few of those people click.

Across the sites, top 3 CTR ranged from 0.2% to 12%, but most sat at or below 1.2%. One niche site performed much better than the others.

That means a top-three ranking for a discovery term often produces around one visit for every 100 times you appear.

And once you fall below the top three, the click rate gets even smaller.

So when your overall Google Search Console CTR looks healthy, check what is driving it. Brand searches and login traffic can make the numbers look much stronger than your actual discovery traffic.

Ranking on page one means Google found your page useful enough to read, but it doesn't automatically mean a buyer visited it.

02 · Clarity kills the click

The more specific the search gets, the fewer clicks you get

I also grouped searches by how many words they contained.

The pattern was clear.

Short queries still produced some clicks, but longer, more detailed questions produced almost none.

That creates an uncomfortable problem for B2B marketers.

The buyer who knows exactly what they need may type a detailed question into Google, get the answer directly, and never reach your website.

P.S.: The  length of a search  predicts more than clicks, it also tells you how far along the buyer is and how clearly they can describe what they need.

Here's what each length tends to mean:

You can see the pattern in the numbers. In the shortest searches, only about 2% are phrased as a question. By the longest, that climbs to roughly 97%.

A quick caveat, because someone will raise it. Word count is really standing in for something else: how easily Google can answer the search itself. Longer searches usually give it enough detail to do that, which is why they lose the most clicks. A short but commercial search like "compliance software pricing" can still send visits, and a long how-it-works question usually can't.

The longer a search gets, the more it reads like a question someone would ask a salesperson.

Is AI fan-out causing those long queries?

I checked because this is an important question.

AI systems can run multiple Google searches behind the scenes while answering one prompt. Those machine-generated searches can show up as strange, very long queries.

But they were a very small part of this data.

The machine-generated ones looked obviously machine-generated, for example:

Real searches below that length looked much more normal:

Then I removed the obvious machine queries and recalculated the CTR.

Nothing changed.

Long queries had a 0.08% CTR before removing them and 0.08% after.

So AI fan-out exists, but it is not what caused the drop.

The bigger issue is simpler: detailed searches are easier for Google to answer without sending the person anywhere.

Does a search with no click mean no value?

Not always. A search where nobody clicks can still put your name in front of a buyer, get your page cited inside an AI answer, or build enough familiarity that the same person later searches for you by name. That's real value, even though it never shows up as a session.

The mistake runs the other way too. Counting raw impressions as if they were pipeline. Visibility only pays off when it turns into branded demand, a demo, or a mention an AI tool repeats. Measure that, not the impression count.

  03 · Where the clicks hide

Brand searches produce a much bigger share of clicks than impressions

If discovery searches barely get clicked, where are the clicks coming from?

A large share comes from people who already know the company.

They search the company name, a product name, or a login page because they already know where they want to go.

Across the websites with established brands, branded searches accounted for roughly a 1/4 to 2/3 of clicks.

The average was about:

The more useful comparison is between impressions and clicks.

Brand queries represented only 2% to 10% of impressions, yet they generated 24% to 60% of clicks.

So a small part of everything these companies rank for produces a very large share of the actual traffic. Meanwhile, the much larger pool of non-brand content gets shown constantly and clicked far less often.

There is one important limitation here.

Google hides many queries for privacy, and those missing queries are heavily non-brand. Because of that, I wouldn't treat the exact branded-versus-non-branded percentage as a hard benchmark.

The safer takeaway is this:

Brand searches make up a small share of impressions and a disproportionately large share of clicks.

04 · Prompts, not keywords

People type prompts
instead of keywords

Search behavior itself is also changing.

People are giving Google full questions, context, and constraints instead of typing a few short keywords.

I saw this across every website. For example:

You want your company to be one of the names in the answer.

05 · The engine picks for them

Buyers are asking Google to choose vendors for them

Some searches ask for information:

“What is X?”

“How does X work?”

But other searches go much further:

“Which software is best for X?”

“Who is the top provider for X?”

At that point, the buyer is asking Google to build the shortlist.

And those searches generated almost no traffic.

The searches closest to a buying decision can therefore be some of the least likely to send traffic.

Google may simply answer with three vendors. If your company is one of those three, you made the shortlist. If it is not, the buyer may never see you.

Being named in the answer is becoming as important as ranking for the query.

06 · Comparisons you didn’t write

Google creates comparison pages whether you wrote them or not

Buyers also search things like:

“Company A vs Company B”

“Company A vs Company B vs Company C for underwriting.”

And Google can answer those questions even when none of the companies involved has written that comparison.

It pulls information from competitor websites, reviews, directories, and other sources.

I found this across the accounts. One lending company appeared in more than 100 different competitor matchups. The risk software company appeared in 36 comparisons it had never written.

Those comparisons are happening with or without your participation.

07 · Seen is not visited

Impressions are becoming much less meaningful on their own

Across the websites, companies had to appear in Google an average of:

That changes how I look at impression growth.

Seeing impressions rise used to feel like an early sign that traffic would follow, but that assumption is becoming much less reliable.

A company can appear hundreds of thousands of times while receiving almost no traffic. The risk software website is the clearest example: about 1,152 impressions for every visit.

So when impressions go up, ask a second question:

Are more people actually visiting the site?

If clicks stay flat, the extra visibility may simply mean Google is using your content more often while answering searches.

08 · Watch, don’t bet

There is one trend I would watch rather than bet on

Some of the findings in this data were consistent across every website:

Rankings produced very few discovery clicks.

Long queries produced fewer clicks.

Google answered vendor-selection questions directly.

Comparison searches happened even when the companies never wrote comparison pages.

Those are patterns I would plan around.

The direction of query length is less certain. There is a popular idea that searches will keep getting longer and more conversational as people get used to AI. That may happen.

But I have also seen long-query volume fall in other websites. Different industries are moving differently, and the pattern can change quarter to quarter.

So I would monitor how search behavior is changing for your own website without building an entire strategy around one prediction.

+ · Four more, for LEADERS

4 more things leaders should pay attention to

There were four other patterns in the live GSC data that matter when deciding where to spend marketing budget.

1. A top ranking is worth far fewer clicks than the old benchmark suggested

The traditional SEO benchmark said the #1 result could receive around 30 clicks for every 100 searches. Once we removed brand traffic, the sites in this study looked very different.

That is a massive difference. So if an SEO forecast still uses an old CTR curve to estimate how much traffic a ranking will generate, check the assumption carefully.

A high ranking can still be valuable, but you can't assume it will produce the traffic levels SEO teams expected several years ago.

2. A lot of content ranks where almost nobody clicks

That group generated plenty of impressions and very few clicks.

So publishing more content only helps when that content becomes genuinely competitive. A new article sitting on page three adds another ranking to a report, but practically nobody will see it.

That makes content quality and focus much more important than raw publishing volume.

3. Some “organic traffic” is really customers coming back

On every product site, the login page was one of the top two pages by organic clicks. For one delivery platform, the login page alone generated 19% of all organic clicks.

Then add people searching the brand name to reach the homepage. Suddenly, a meaningful part of what gets reported as “organic traffic” is existing customers navigating back to a product they already use.

That traffic is perfectly useful, but it tells you something very different from new buyers discovering the company.

4. A few pages earn most of the clicks

Traffic was also heavily concentrated. On one product site, three pages (the main product page, the homepage, and the login page) generated about 65% of all clicks. Dozens of blog posts shared roughly 4% between them.

But there was an important exception. On another site, a single genuinely useful how-to guide, built around a real operational question that company's buyers ask, pulled more clicks than most of its product pages. It was practical, specific, and tied to a problem the reader was actually trying to solve.

So useful top-of-funnel content can absolutely still work. The difference is that the winning page answered a specific question people genuinely cared about.

That is very different from publishing ten generic “best X software” articles every month because a content calendar says you need volume.

The better bet is to put more effort into your highest-value product pages and a smaller number of genuinely useful resources built around real buyer questions (use your sales meeting transcripts for this).

All of this brings me back to the biggest pattern in the data:

People who already know the company search its name and click.

Meanwhile, people discovering a company through broad or detailed non-brand searches are much more likely to get their answer directly from Google and leave without visiting a website.

That means some of the demand showing up in Google was created somewhere else first.

A buyer saw the company on LinkedIn, heard the founder on a podcast, met the team at an event, read a newsletter, heard about it from a peer, or saw it mentioned in a community.

Then they searched the name.

Google captured the click, but the interest started somewhere else.

→ · What to do about it

What I would do over the next 12 months

Stop treating rankings and impressions as proof that SEO is working. They tell you that Google can find and understand your content. They do not tell you whether buyers are visiting or entering your pipeline.

Track the numbers closer to the business outcome:

How much non-brand traffic actually reaches the site?

How much branded search demand are you creating?

Which pages produce qualified visits?

And when buyers ask AI tools for vendor recommendations, does your company get named?

If people who already know your name are much more likely to click, then giving buyers a reason to know your name becomes much more valuable.

That means putting more budget into the places where your buyers actually spend time before they search: LinkedIn, communities, newsletters, partnerships, podcasts, events, founder content, and other relevant channels.

Then, when those buyers eventually search, your brand is already familiar.

Search engines increasingly build the answer before the buyer visits a website. So give them accurate material to work with.

Publish clear comparison pages. Answer the real “which is best?” questions buyers ask. Explain exactly who your product is for, what it does, where it fits, and how it differs from alternatives.

The goal is to make your company easy to understand, compare, and recommend.

Search is becoming better at capturing existing interest than creating new interest. So your top of funnel can't depend entirely on someone discovering one of your blog posts through Google.

Build demand in channels where you can reach buyers directly and repeatedly. Then let search capture those buyers when they are ready to look you up.

This data shows that most clicks come from people already searching for the company by name. It doesn't tell you which channel first put the company on their radar. Finding that out means looking at your own funnel: branded search over time, direct traffic, and the "how did you hear about us" answers on your demo form. Use those to confirm which channels are creating the demand before you move the budget. This study measured Google Search Console, so that last point is a recommendation based on what the search data suggests. It is not a direct measurement of which outside channel creates the most demand.

The bottom line

Where I would put my money

Search still matters, but the role it plays is changing.

Your content can rank, appear thousands of times, and help Google answer a buyer's question without earning a visit. Meanwhile, people who already know your company are far more likely to search your name and click.

The clearest example in this dataset is the client with almost no brand demand: 453,000 impressions and only 393 visits.

So I would stop building SEO plans around publishing the most pages or collecting the most impressions.

👉 Build a brand buyers recognize. Publish information that search engines and AI systems can understand and trust. Create genuinely useful content around real buyer questions.