Picture pressing an elevator button that never lights up. You’d press it again. And again. Maybe you’d give up and take the stairs, or wait for someone else to come along and confirm it doesn’t light up for them either. That tiny glow does a lot of work, and plenty of marketing right now is starting to feel like an unlit button.
In the past few weeks, Google Search Console began showing how often your pages appear in AI Overviews and AI Mode, but not how many clicks those appearances earn. Over in Google Ads, Search campaigns using broad match and automatically created assets are being moved into AI Max, where more of the targeting happens behind the curtain. The tools are getting smarter while the signals coming back to us become quieter.
Why every marketing effort needs a feedback loop
Marketing runs on a simple loop: we try something, we watch what happens, we adjust. The faster and clearer the signal coming back, the smarter the next move. Think of a thermostat’s click or a moving progress bar or a little “delivered” checkmark: small cues that tell you your effort landed.
When a platform holds back part of that signal, the loop doesn’t break. It just needs a little rewiring, with a few more signals that come from you and your customers instead of a dashboard.
Five ways to rebuild your marketing feedback loop
Lean on signals you own. Platform rules will keep evolving, just as we saw when LinkedIn started ranking comments by relevance. Your email list, form fills, customer inbox and sales conversations are yours, and they keep talking even when a dashboard goes quiet.
Ask people how they found you. An open-text “Where did you first hear about us?” field is wonderfully low-tech, and it captures the AI answers, group chats and podcasts no tracking pixel can see.
Bonus: those answers often point straight to the marketing message that’s already true for your customers.
Watch patterns, not single numbers. Impressions without clicks still tell a story. If AI visibility climbs and branded searches or direct visits rise a few weeks later, that’s a signal worth celebrating.
Keep the loop short. Feedback is most useful when it arrives quickly. A 20-minute check-in every two weeks to line up what changed with what moved beats a big quarterly scramble.
Write down your guess first. Before you launch a change, jot what you expect to happen. Feedback teaches the most when there’s a prediction to compare it to.
A feedback loop in action
Meet Juniper & Pine, a maker of refillable dish soap concentrates (and anonymized client study). Its AI impressions were rising while site clicks stayed flat, so the team added an open-text “Where did you first hear about us?” box at checkout. Within a month, “AI on Google” and “a group chat” kept popping up.
So they rewrote their product pages to answer the exact questions shoppers were asking, and tucked a share-with-a-friend card into every order. Same budget, a much clearer picture, and a team that finally knew which buttons were lighting up.
Turning quiet signals into clear ones
AI is taking on more of the busywork, and that’s often a gift. Google itself reports that advertisers using the full AI Max feature set see about 7% more conversions at a similar cost. Our part is making sure we still get our little lit-up button: a signal that shows what our effort actually did. Build a few of those into your week, and the quiet starts to sound a lot more like a conversation.
