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A founder posted a problem on r/b2bmarketing last week. Zero search volume for his product. C-suite buyers who don't know an automated solution exists. Competitors, but only fragmented ones, each solving a slice of the problem.
He asked how to do market research when the market doesn't have a name yet.
This is not a rare problem. It's the default condition for any company doing real category creation instead of competing inside an existing one. And it has a repeatable answer.
Keyword tools measure a category's name. They don't measure the problem that category solves.
That distinction matters more than most SEO strategies admit. 92% of all keywords get fewer than 10 searches a month, and a large share of those are new product categories and industry-specific problems that haven't been named yet. The tools aren't wrong. They're reporting on vocabulary, not demand.
Before Salesforce existed, nobody searched "cloud CRM." They searched "sales reporting," "manage customer contacts," "track sales leads." The solution category was invisible to keyword tools. The problem behind it was everywhere.
This is the gap a founder in a zero-volume market has to work: the category term is silent, but the problem language is loud. Find where buyers talk about the problem, and you find the market research the keyword tool couldn't give you.
Gartner's buying-journey research breaks the B2B decision into six buying jobs, but it starts with a specific moment: someone inside the organization recognizes a problem. A missed target. An operational bottleneck. A competitive threat. At this point, the buyer is problem-aware and solution-unaware. They don't know your category exists. They know something is broken.
Most companies show up too late for this moment. Only 20% of B2B companies are present during the problem-recognition phase of the buying journey, and the data on what that costs is blunt: 74% of deals go to the vendor that creates value first, not the vendor with the best product at the comparison stage.
The LinkedIn B2B Institute has a name for the situations that trigger this recognition: category entry points, or CEPs. Jenni Romaniuk's research describes them as buyer territory, not brand territory — they exist whether or not your company exists. A buyer doesn't wake up thinking about your product. They wake up thinking about a Tuesday that's going wrong, and a category entry point is the language they reach for when they try to name it.
This reframes the zero-volume problem entirely. You are not searching for keywords about your product. You are searching for the buying situations — the Tuesdays going wrong — that your product happens to fix.
Marc Benioff didn't launch Salesforce into a keyword. He launched it into a cost problem.
In the late 1990s, enterprise CRM took six to twelve months to install and ran on hardware and software licenses that could run into the millions. As much as 65% of Siebel Systems' CRM licenses went unused once installed — bought, deployed, and left on the shelf. Nobody was searching "software as a service" in 1999. The term barely existed. But procurement teams were absolutely searching for a way out of six-figure implementations that never got used.
Benioff's entire early marketing campaign was built around that pain, not around a product category. "No Software" wasn't a feature claim. It was a rejection of the buying experience his prospects already hated. Salesforce staged stunts where actors played salespeople trapped in cages, and threw installation discs into toilets at launch events — theater built entirely around a problem buyers already recognized, long before "SaaS" was a word anyone typed into a search bar.
That's the pattern. Category creators don't wait for the category name to have search volume. They anchor to the specific, nameable pain the category will eventually replace, and let the category name catch up later.
The Reddit founder's other worry was a market full of point solutions instead of one obvious competitor. That's not a red flag. It's the setup.
Buyers are actively fatigued by exactly this fragmentation. Gartner projects that by 2027, half of enterprises will run on fewer than 150 applications, down from 300-plus today, and 68% of tech leaders are already planning vendor consolidation this year, most targeting 20% fewer providers. Buyers stitching together five separate point tools to solve one end-to-end problem are not satisfied customers of those five vendors. They're a waiting audience for whoever names the whole problem first.
This is also where the fragmented competitors do useful work for you, without meaning to. Each one has already built content and paid campaigns around their slice of the problem — "sales email tool," "assign sales leads," "generate sales reports," to use the CRM-era examples. That content is validated keyword intelligence. It tells you exactly which sub-problems buyers already search for, even while the category-level term stays silent.
Once the market is understood as problem-first rather than category-first, the keyword architecture follows a three-tier structure.
Tier 1 — Problem and awareness terms. The language buyers use before they know a solution category exists. "Manual data entry sales team," "why is our sales pipeline inaccurate," "reduce time spent on X." These are rarely branded, rarely mention any product type, and often carry decent volume precisely because they predate the category.
Tier 2 — Point-solution terms. The keywords your fragmented competitors already own, because each of them solves one piece of the problem. This is where competitor keyword research pays off directly: pull the terms your point-solution competitors rank and advertise on, and treat that list as a map of the sub-problems your end-to-end solution needs to speak to.
Tier 3 — Category terms. The name for the whole solution, however small its current volume. This tier gets built into your homepage and core positioning, not chased as a primary traffic source yet. It's where you plant the flag for the category name you're trying to make searchable.
The content strategy that follows: independent landing pages for each Tier 2 point-solution problem, tangential Tier 1 content that captures problem-aware buyers earlier, and a Tier 3 homepage and core pages that frame the category as a whole. Buyers land on the specific problem they searched for and get educated, in that content, about the broader category they didn't know existed yet.
A keyword tool reporting zero volume is reporting a detection floor, not an absence of buyers. Two checks close that gap.
Google Search Console over keyword tools. Third-party tools estimate volume from clickstream panels and sampling. If a query already shows impressions in your own Search Console data, that's first-party proof of real search demand, independent of what any external tool reports. This is the strongest signal available, because it's your actual buyers, not an estimate of someone else's.
Where buyers talk before they search. SaaS buyers describe their problems in communities long before they type anything into Google — Reddit threads, niche Slack and Discord communities, G2 and Capterra reviews of the fragmented point solutions. That language, gathered directly from the buyer rather than inferred from a keyword tool, becomes the seed list for Tier 1 content. It's also, not coincidentally, exactly how the Reddit thread that inspired this piece started: a founder asking a question in the same language his buyers would use to ask it.
Common approach: Wait for search volume to appear before investing in content, on the theory that content should follow demonstrated demand.
Sharper approach: Map the Tier 1 problem language directly from customer conversations and competitor point-solution keywords, publish against that language now, and build the Tier 3 category page to receive the traffic once buyers start connecting the dots.
Why it works: By the time the category term develops real search volume, competitors who waited for that volume are starting from zero. The company that published against the underlying problem two years earlier already owns the terms that got buyers to the category page in the first place.
How to use this: Pull your Search Console data this week for any query with impressions and no ranked position. Cross-reference against the keyword lists your point-solution competitors already rank for. That overlap is your Tier 1 content calendar for the next two quarters.
The failure mode isn't ignoring zero-volume keywords. It's treating category creation as a content problem when it's actually a positioning problem first.
Category creation, at real scale — the kind Play Bigger's research describes, where a handful of category creators account for over half of the Fortune 100's revenue growth — typically takes years and serious capital, and depends on a genuine market shift a company can ride. Most growth-stage B2B companies don't have those conditions, and forcing the full category-creation playbook onto a company without them burns budget chasing a category name nobody needs yet.
The honest version of this strategy is smaller and more achievable: own the problem language and the point-solution language first, build genuine authority there, and let the category-level positioning grow out of content that was already working. That's positioning discipline, not category invention — and it's available to a team with a fraction of a Category King's runway.
Zero search volume for your category is not the absence of a market. It's a market that hasn't learned your vocabulary yet. The buyers are already searching — for the problem, for the point solutions, for a way out of the fragmentation they're currently stitching together by hand. The work is finding that language before the category name catches up to it.
June 26, 2026
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