Paid search captures demand, it does not create it

Google Ads is a harvesting machine, not a demand-generation machine, and once that lands every keyword decision you make gets easier.

What paid search actually does

When someone types a query into Google, they have already decided they have a problem and gone looking for an answer. Paid search puts your offer in front of that person at the precise moment of intent. It does not plant the idea, build the category, or warm a cold audience the way a LinkedIn ad or a cold email tries to. It intercepts a hand that is already raised.

This is the opposite of how most founders instinctively use it. They treat Google Ads like a billboard, buying broad keywords about their industry and hoping to "get the name out there". For a lean B2B company that is the fastest way to burn a budget, because you pay for every click whether or not the searcher was ever going to buy.

Why the distinction decides everything

If paid search only harvests existing demand, then your entire job is to find the queries where demand already lives and ignore the ones where it does not. That single filter reframes keyword research, budget, and expectations.

Demand-capture keywords carry intent in the words themselves. "B2B payroll software", "invoice automation for accountants", "CRM for manufacturers" — each one is a person actively shopping. Demand-generation keywords describe a topic with no buying signal: "what is payroll", "how to manage invoices", "why CRM matters". Those belong in your content and SEO, not your paid-search account.

The exact steps to apply the model

1. List the problems your product solves, in your buyer's words, not your feature names.
2. For each problem, write the queries a buyer types when they are ready to act — these usually name a solution, a category, or a "near me" / "for [industry]" qualifier.
3. Separate every research-style query ("how to", "what is", "best practices") into a content backlog. They are real, but they are not paid-search work.
4. Rank the remaining capture queries by how directly they signal a purchase. The closer to "I want to buy this now", the higher the priority and the more you can afford to pay.

Worked example

A 14-person B2B SaaS selling field-service scheduling started by bidding on "field service management" — high volume, broad, expensive. They were paying around 9 EUR a click for traffic that bounced. When they reframed around capture intent and shifted budget to "field service scheduling software" and "[trade] dispatch software", click volume dropped by roughly 60 percent but qualified demo requests rose from 3 a month to 11, because every remaining click was a buyer in-market rather than a researcher browsing.

Pitfalls

• Bidding on awareness terms. Broad category words feel important but rarely convert; route them to content instead.
• Confusing volume with value. A keyword with 100 searches a month and pure buying intent beats one with 10,000 searches and none.
• Expecting Google Ads to "create interest". If nobody is searching for what you sell yet, paid search is the wrong channel; you need demand generation first.

Handoff

With the harvesting model in place, the next move is to organise the account so each of those capture intents gets its own clean home. Next we structure the account around how buyers actually search.