What are you optimizing for in paid search when keywords matter less?

Paid search platforms are getting better at deciding who should see your ads, often without relying on the keywords you choose. 

As that shift accelerates, optimization is moving away from query-level control and toward signals like audience data, landing page context, and conversion behavior. Understanding that change is key to knowing what to actually optimize for now.

When keywords gave us control and what comes next

A decade ago, our world was defined by the illusion of control. Every decision we made was anchored in the keyword. Hypersegmentation and single keyword ad groups (SKAGs) ruled the land.

If possible, we’d build a unique landing page for every single keyword in every single ad group. The process was tedious, manual, and we loved it because we felt like we were the ones driving the machine.

Fortunately (or unfortunately, depending on how much you miss spreadsheets and Editor), times have changed. We’ve long speculated about whether Google and Microsoft would finally sunset keywords altogether. That day feels closer than ever.

From Performance Max to the emerging AI Max solutions — and even the shift toward contextual, LLM-driven search like ChatGPT — the industry is moving toward a keywordless reality.

But if we take a step back, we have to admit why the keyword is so vital. It’s a window into clear intent that tells us exactly where a user is in their journey:

• The symptom: “Productivity tools for remote teams.”
• The consideration: “Asana vs. Trello comparison.”
• The decision: “Monday demo.”

If those signals are now handled behind the scenes by a black box, the role of the marketer changes. So what are we actually optimizing for?

Dig deeper: Beyond keywords: Mastering AI-driven campaigns

Signals are the new keywords

Intent is inferred from a complex web of signals that have rendered the individual keyword secondary. To win in 2026, your optimization focus must shift toward three core pillars.

Audience data (the ‘who’ over the ‘what’)

Google’s algorithms now prioritize customer match and first-party data over the query itself. With the full integration of the Data Manager API, the system knows which users in the auction match your closed-won deals.

You no longer bid on the query “cloud security.” You bid on the director of IT (because you’re sharing first-party data) who has a history of researching SOC 2 compliance, even if their current search is as vague as “scaling infrastructure.”

B2B match rates are notoriously stubborn. But this is exactly where you need to evolve your strategy. Move beyond one-to-one list matching and get creative with integration partners to enrich your signals.

Start by clustering individuals by shared pain points, then use on-site experiences to allow them to self-identify. By the time they hit a remarketing list, you aren’t just targeting a “user,” you’re targeting a verified intent state.

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Landing pages as living signals

Your landing page is a data source. Google’s AI scans your page to understand the nuance of your offering. Creative assets are also important signals and need to complement your targeted themes and keywords, plus your landing page content.

If your landing page clearly articulates a “mid-market manufacturing” use case, the AI will automatically find those users, even if they never type the word “manufacturing.” Your “keyword strategy” is now your content strategy.

You might think looking at Meta is a deviation here, but the parallels are impossible to ignore. Meta’s Andromeda retrieval engine now influences a massive portion of the social auction by using the creative itself as the primary targeting signal. 

If both platforms are moving toward a world where your assets (whether it’s a 15-second video or a high-value landing page) are what actually define your audience, you have to ask: How much weight are you giving your creative inputs versus your technical ones? 

Historical conversions and pipeline velocity

With journey aware bidding and value-based bidding, the algorithm isn’t just looking for the final click. It’s analyzing the historical sequence of a user’s journey.

Optimization now happens against “high-value need states.” You’re feeding the system data on which mid-funnel behaviors (like a whitepaper download or a webinar sign-up) actually lead to six-figure contracts.

Dig deeper: Why better signals drive paid search performance

The great intent shift: Query-level vs. user-level

The most significant mental hurdle for digital marketers is the shift from query-level intent to user-level intent.

Feature	Query-level intent (legacy)	User-level intent (2026 and beyond)
Primary driver	The specific words typed.	The user’s historical behavior and context.
Logic	“They are in state X, so they need Y.”	Triggered by a predicted “need state.”
Measurement	CTR and CPC.	Pipeline value and predicted LTV.
Auction entry	Triggered by a keyword match.	Triggered by a predicted “need state”

In the old model, a query like “how to manage payroll” might have been ignored by an enterprise SaaS company as “too informational.” In 2026, the AI knows if that user is a student or a VP of finance at a 5,000-employee firm.

If it’s the latter, the user-level intent is commercial, regardless of the query-level phrasing, assuming you’re providing the right signals (see what I did there?). If you’re advertising on Microsoft Ads, you can leverage LinkedIn’s profile targeting.

What should you actually be doing?

Now that AI is handling the matching, your job has evolved from a mechanic to a data architect.

• Feed the beast with better data: Your competitive advantage is the quality of your CRM integration. If you feed the AI junk leads, it will efficiently find you more junk. You must optimize for value-based bidding.
• Audit your signal health: Are your landing pages optimized for AI readability? Do they have the technical schema and depth of content that allows Google to categorize your “intent bucket” correctly?
• Embrace the black box with guardrails: Move away from micromanaging search terms, and start managing brand exclusion lists and negative intent themes.

The future of search isn’t about finding the right words. It’s about being the best answer for the right person at the exact moment their need state evolves.

Keywords were the training wheels. Now, the wheels are off. It’s time to see how fast your data can take you.

Dig deeper: Why PPC teams are becoming data teams