
Marketing leaders everywhere are sitting in boardrooms right now trying to explain the unexplainable. Website traffic that plummeted 50% overnight. PPC campaigns that generated quality leads last quarter are now burning through budgets in days instead of weeks. Search results for their own company name buried beneath five competitor ads and AI-generated summaries.
If you’re looking for someone to blame, Google has given you plenty of ammunition. But if you’re ready to have a more strategic conversation about the future of your marketing program, there’s a different story to tell.
Part 1: What to Tell Your CEO (Google Made Me Do It)
This is the explanation that gets you through the meeting while you figure out your next move.
The Executive Summary
This isn’t a failure of our marketing strategy—Google fundamentally changed how its advertising platform operates in 2024-2025, and these changes are impacting all B2B advertisers.
Here are the specific changes affecting our performance:
Google Made Broad (Mis)Match the Default
In July 2024, Google reversed a long-standing setting—broad match is now enabled by default for all new Search campaigns. Previously, we could choose the keyword match type that best suited our strategy. Now, unless we actively turn it off, we’re automatically opted into broad match.
What this means for our campaigns: Broad match has become exponentially more expansive, making increasingly illogical interpretations of “relevance.” Our ads for “enterprise project management software” are now showing for searches like “birthday party planning”—connections that might make sense to Google’s algorithm, but result in wasted spend on unqualified traffic.
AI MAX: The Extreme Expansion
Google’s AI MAX system, launched May 2025, includes “keywordless technology” that shows our ads for searches we never specifically targeted. The system learns from its own interpretation of our keywords and decides when our ads should appear—often for completely unrelated searches.
“Keywordless Technology” – What This Actually Means:
Traditional PPC worked like this:
- You bid on “project management software”
- Your ad shows when someone searches for “project management software” (or close variations)
AI MAX works like this:
- You bid on “project management software”
- Google’s AI “learns” from this keyword
- The AI then decides your ad should ALSO show for searches you never targeted like:
- “how to organize team meetings” (AI thinks: project management = organizing)
- “birthday party planning tools” (AI thinks: planning = management)
- “construction timeline software” (AI thinks: timeline = project)
What makes it extreme: AI MAX removes keywords entirely from the equation. The AI decides what’s “relevant” based on patterns it finds in data – patterns that might be mathematically sound but may not represent actual business relevance or connect with buyer intent.
Expert Tip: “I’ve seen a lower impact of the AI MAX system in our campaigns,” notes RevKey, a PPC expert and Google Ads agency and partner. “But that’s most likely because we maintain such tight controls on our campaigns that we don’t enable these tools unless under specific circumstances. For agencies that run more automated campaigns, this can be a much bigger issue.”
Smart Bidding Reduces Control
Google heavily couples broad match with Smart Bidding, with their official documentation stating: “It’s critical to use Smart Bidding with broad match.” Which means, to use these new AI features effectively, Google requires automated bidding strategies. Performance Max campaigns—which Google heavily promotes—don’t allow manual CPC bidding. The system optimizes for volume metrics rather than the quality leads our B2B sales team needs.
What This Means for Our Budget
These changes explain our increased cost-per-lead and decreased lead quality. We’re not doing anything differently—the platform changed underneath us. To maintain previous performance levels, we need to either:
- Increase the budget to account for wasted spend on irrelevant clicks
- Invest time in constantly fighting against Google’s default settings
- Explore alternative channels less dependent on Google’s algorithm
Part 2: Here’s What’s Really Happening
This is the cold, hard truth you may need to face — it puts you in the driver’s seat and explains how exec teams are being sold a fantasy.
Google’s Seductive Pitch
Technically, broad match has always been the default—experienced PPC managers knew to add [exact match brackets] or “phrase match quotes” to maintain control over their targeting, or they would default to broad match. But it’s easier to blame Google.
The update Google doesn’t include in their press release: The recommendations dashboard now relentlessly persuades marketers to enable broad match for their exact match campaigns.
When Google’s own platform insists this will improve results, even experienced PPC managers who know better start second-guessing decades of expertise.
And when Google’s own documentation flaunts how campaigns will “reach a bigger audience without you having to build a huge keyword list,” the sell is clear: Reach more people with less input. You know: less work, more results! The easy button!
Even the toughest of us may crumble to the promise.
Expert Tip: PPC expert Michael Snyder explains the reality: “This shift has created an unlevel playing field when it comes to spend. When running Performance Max campaigns or Search campaigns with automated bid strategies for popular products with name recognition, you can expect a positive return on ad spend—the AI has plenty of data to work with. But when feeding Google’s AI with limited data from a less-known product with smaller budget spend, where every penny counts, it creates an incredible amount of time spent on negative keyword optimization. You’re constantly hunting down unwanted searches rather than optimizing for positive gains. Add to this that any major campaign changes restart the optimization process when using Smart Bidding, and the path to campaign success becomes much longer and harder with smaller budgets.”
How We Got Here (Newsflash: It Wasn’t Overnight)
Here’s what many marketers don’t realize: This broad match expansion isn’t a dramatic overnight shift. It’s the cumulative effect of Google’s ongoing AI integration across search and advertising over several years. We’ve been slowly boiled like frogs—each quarter, broad match gets a little more “broad,” each update promises better performance, each recommendation pushes us further from control.
Today, “project management software” ads show for “birthday party planning.” Tomorrow? Who knows. Like any AI tool, Google’s AI-powered broad match demonstrates how AI can find patterns that don’t translate to meaningful business relevance, creating irrelevant traffic and, yes, wasted spend.
Smart Bidding: The Price of Admission
Here’s the catch: Google dangles the carrot (“AI will make everything better!”) but to get the full benefits, you’re “required” to give up manual control over your bids.
It’s a brilliant business model for Google—automated bidding often leads to higher CPCs since the system will bid whatever it takes to hit conversion goals, optimizing for Google Ad volume, not your ROI.
(get ready, tough love on its way)
Now, to be fair, you’re not completely locked out of ALL AI features without Smart Bidding. Yes, Google does make it very difficult to use them without it. Mostly because it will constantly warn you that it won’t work well—those yellow warning boxes will haunt your dashboard.
But, you CAN technically use broad match without Smart Bidding, and it will take more work to clear out all those broad term matches. Be smarter and stronger than the dashboard notifications!
The Expertise Gap Alert
Google’s AI recommendations are a perfect example of why deep-domain marketing expertise matters more than ever. Remember: Google’s definition of “better performance” means more ad spend and clicks—not necessarily your ROI.
While AI can automate many tasks, it can’t replace:
- Battle-tested wisdom about what actually converts in B2B
- Discerning critique of platform recommendations
- Deeper, contextualized knowledge about your specific audience
- The ability to see through manipulative platform “improvements”
Always approach Google’s “performance improvement” recommendations with caution and have a deep-domain expert review before implementation.
Part 3: What to Really Tell Your CEO
This conversation requires more courage, but it positions you as a strategic leader rather than a victim of circumstance.
The Real Problem Started Long Before AI
The issue we’re facing didn’t start with Google’s recent changes—it started with:
- our over-reactions to algorithm updates,
- over-reliance on technical shortcuts, and
- over-reporting and obsession with metrics that create disconnection from real business outcomes, like revenue.
But here’s the thing: Our obsession with building extensive keyword lists and optimizing for algorithms is always a distraction from what actually works—understanding the language our audience uses and creating content that genuinely speaks to their challenges.
While Google’s AI integration has made old tactics less effective, it’s also forcing us to do marketing the right way.
Google’s Purpose Hasn’t Changed
Google’s entire purpose, aside from maximizing ad revenue and increasingly keeping traffic within its own properties, is to serve up valuable content that matches what people are looking for. They keep getting smarter at detecting the shortcuts and hacks that marketers use to game the system.
Think about the major shifts that have had marketers scrambling over the years: semantic search that prioritized meaning over exact keyword matches, mobile-first indexing, E-E-A-T (Experience, Expertise, Authority, Trustworthiness) updates that rewarded expertise over keyword density. Each time, Google refined its ability to understand what users actually want rather than what marketers think they should want.
The Evidence Is Clear
SEO expert Rand Fishkin’s analysis of 332 million Google queries reveals that only 26% of searches are brand-related, while the majority are informational queries spanning everything from arts and entertainment to specific how-to questions. This demonstrates why broad keyword strategies miss the mark and why we need to understand the specific language our customers actually use.
A third-party study analyzing over 2,600 PPC accounts found that:
- 70.79% of accounts had better cost-per-acquisition with exact match keywords
- 72.52% achieved better return on ad spend with exact match targeting
This data contradicts Google’s claims about the superiority of broad match and proves that precise targeting, based on a deep understanding of customers, beats algorithmic guessing every time.
Part 4: The Strategic Advantage of Doing Hard Work
The data proves what experienced marketers already know—real work beats shortcuts every time.
Google’s changes feel disruptive because they dismantle the shortcuts we’ve built and rely on (remember hashtags?). Companies that thrive after platform updates don’t scramble for new hacks—they double down on fundamentals.
As we keep reminding ourselves (and you): this is just another Tuesday in B2B marketing. Economic downturns, privacy changes, algorithm updates—they’re not disruptions, it’s what we do.
Every year, we write another article about “knowing your audience” because every year, there’s a new reason we’ve lost our way. This time it’s Google’s fault. Last year it was search hijacking email inboxes. The year before that, it was the economy. Next time? Who knows—probably AI eating our lunch.
The real work that keeps companies thriving:
- Deep customer research: Actually talking to customers about how they search, what problems they’re trying to solve, and what language they use
- Creating valuable content: Not keyword-stuffed pages, but resources that genuinely help your audience
- Building channel resilience: Not putting all your eggs in Google’s basket
- Measuring what matters: Quality of leads, not quantity of clicks
As we discussed in our latest Marketing Honestly podcast episode, algorithm disruptions are the wake-up calls B2B marketers need. They force us back to what’s always worked: understanding customers deeply and creating content that actually helps them. Seeing platform changes not as obstacles to overcome, but as validation of the customer-centric approach.
Let’s stop mourning the loss of our shortcuts and get back to work.
Ready to build marketing that works regardless of platform changes? Start with a strategic playbook that focuses on customer understanding rather than technical optimization.