Stop Targeting Keywords And Start Targeting Intent

By Heather Brousell - Monday July 13, 2026 Share (Twitter) WhatsApp Summarize ChatGPT Perplexity Grok Google AI Most PPC practitioners built their careers on keywords. The job was to find the right terms, organize them precisely, manage match types, and use negative lists to keep targeting clean.

It was methodical work, and when done well, it worked, but now that model is breaking down. Google no longer uses keywords as the primary trigger for ad serving – they’re one signal among many, frequently overridden by machine learning that thinks it knows your searcher better than your keyword list does. Broad match serves queries you’d never have chosen.

Exact match isn’t exact anymore. Phrase match is synonymous with broad match. And Performance Max doesn’t use keywords at all. The question for practitioners isn’t whether this shift is happening – it already has. The question is whether your accounts are built to work with the new model or against it.

Keywords Were Always a Workaround It helps to understand what keywords were actually doing before examining why they’re losing relevance. Keywords were never the point. They were just the closest thing advertisers had to reading a searcher’s mind. And for a long time, they were close enough.

Someone searching “project management software” was almost certainly shopping for it. The word matched the want. The system worked. But searchers have never been perfectly consistent.

The same intent – “I want to buy project management software” – can surface as dozens of different queries: “best tools for team task tracking,” “how do I manage multiple projects at once,” “alternatives to spreadsheets for project planning.” A keyword list can only capture what it anticipates. It structurally cannot capture demand it didn’t know to include.

Google figured out that what a searcher means matters more than what they type. Its language models can now find the same intent across completely different phrasing, something no keyword list could ever do. Keywords didn’t just lose accuracy. They got replaced by something better.

What Google’s AI Is Actually Doing to Match Types The clearest sign that keywords are losing relevance isn’t a product announcement, it’s what has quietly happened to match types.

Broad Match No Longer Means What It Used To Broad match was always the loosest match type, but its historical behavior was still fundamentally keyword-anchored: it matched variants, synonyms, and related terms. The keyword still drove the match. That’s no longer true. Broad match now looks at what someone means, not what they typed.

Google’s systems identify what intent a keyword represents and serves ads against any query they believe shares that intent, regardless of whether a single word overlaps.

An advertiser bidding on “CRM software” in broad match may serve against “how do I keep track of my sales pipeline” because the machine has determined these expressions of intent are equivalent. When paired with smart bidding, broad match isn’t a reach expansion tool to be managed carefully.

It’s Google’s preferred mechanism for letting the algorithm find conversion-ready traffic that the keyword list didn’t know to target. Most accounts are still using it the old way – adding negatives to contain the drift – when the more productive use is to let it surface intent and use conversion data to train the system on what good traffic looks like.

Exact Match Is No Longer Exact Exact match has been quietly changing for years. Most accounts are still built as if it hasn’t. Exact match now includes close variants: misspellings, abbreviations, reordered words, implied words, and paraphrases that Google’s algorithm determines carry the same meaning.

In practice, an exact match keyword list built for precision is not delivering the control it appears to provide. The keyword list looks exact. The actual query pool it’s drawing from is fuzzier and broader than any keyword audit will reveal.

What looks like a tightly controlled campaign may be serving on dozens of query variants the advertiser never explicitly approved. This isn’t necessarily a performance problem. But it is a conceptual one: if exact match doesn’t mean exact, the foundational premise of keyword-as-control-mechanism has already been dismantled by the platform itself.

Phrase Match Is No Longer a Middle Ground Phrase match now functions much closer to broad match than most advertisers realize. Google’s algorithm determines whether a query shares the intent of your keyword, not just whether it contains the words. Word order, once the defining constraint of phrase match, carries far less weight than it