The Illusion of High Click-Through Rates
When I first audited the Google Search Ads account for a premier Swiss coworking and flexible office provider operating across Zurich, Basel, Geneva and Zug, the dashboard initially painted a picture of success. Click-through rates hovered comfortably above ten per cent, the account optimisation score appeared respectable, and conversion counters were steadily ticking upward.
On paper, the digital acquisition engine seemed to be firing on all cylinders. However, the underlying commercial reality was vastly different. Despite substantial monthly ad spend across multiple key locations, actual B2B pipeline growth for high-value flexible office leases had stalled. The business was trapped in a classic performance paradox: Vanity metrics looked exceptional in executive reports, yet true business growth was non-existent.
The AI Max Feedback Loop and Competitor Leakage
An inspection of the search terms report—what I refer to as the invoice of reality—revealed the root cause. The account had succumbed to automated account settings, specifically the widespread activation of AI Max features and auto-generated broad match keywords.
Because Google’s algorithm was instructed to drive conversion volume, it began chasing the path of least resistance to hit its targets. Instead of acquiring local business decision-makers and Digital Nomads actively searching for commercial office space, the campaigns were spending heavy budget on the provider’s own branded searches, direct competitors such as WeWork, Regus, and Impact Hub, and completely irrelevant queries including restaurant job postings and navigation requests.
Because existing brand searchers and accidental clicks convert easily on basic forms or call buttons, the algorithm interpreted these actions as a major success. This created a destructive negative feedback loop: AI Max continuously expanded targeting into competitor names and broad informational queries to capture cheap conversion signals. In doing so, it cannibalised free organic traffic while completely failing to attract real B2B prospects. To make matters worse, geotargeting was set to the entire country, serving local Zurich or Basel office ads to users across Switzerland who had no intention of renting local space.
Reclaiming Human Control with Surgical Precision
To stop the financial bleed, we immediately replaced blind algorithmic trust with expert human control. We disabled AI Max keyword auto-generation across all ad groups and dismantled the messy, overlapping campaign structure.
We restructured the account by isolating search intent with absolute discipline. Branded queries and competitor terms were completely removed from core acquisition campaigns. We re-architected the account around local generic search intent, establishing tightly controlled exact match keyword sets focused squarely on terms like coworking space near me, flexible office rental, serviced office space, and local team offices.
Geotargeting was shifted from nationwide broadcasting to strict local presence within specific cantons and city radii. Additionally, we overhauled the asset architecture, removing automated AI sitelinks and assigning location-specific, intent-focused callouts and structured snippets directly at the ad group level.
The Commercial Impact of Intent-Driven Traffic
The outcome proved once again that precision always beats volume. By cutting out algorithmic noise and irrelevant traffic, overall impression volume dropped, but traffic quality skyrocketed. The exact match impression share increased dramatically, ensuring that every Swiss Franc spent was actively competing for actual buyers in Zurich, Basel, Geneva or Zug.
Within weeks, the account stopped paying premium click prices for competitor phone calls and job-seekers. By shifting the strategy to buy real generic local traffic, the client finally built a predictable, scalable lead generation pipeline for commercial office tenancies.
