Brand bidding is running paid ads on your own brand terms — and the live decision now is whether to let Google’s AI Max broaden those campaigns or lock them to exact match. It matters because AI Max can quietly spend your brand budget on adjacent, lower-intent searches the exact-match discipline was built to exclude.
- ▪Brand bidding = paying for ads on your own brand terms; AI Max vs. exact match is the current control decision.
- ▪Demand is down ~52% year-over-year with a sharp March spike — debated and cyclical, not settled.
- ▪KD 1 is a mirage: the real page is LinkedIn (DR 99), Reddit (DR 95), and brand-protection vendors.
- ▪AI Max can broaden a brand campaign onto adjacent searches that erode the efficiency exact match protects.
- ▪Our edge: we decide match type from the data, defending the brand terminal without overpaying for it.
Brand bidding used to be a simple, almost boring tactic: bid on your own name, defend the top of the page, done. Then Google put AI Max in front of it, offering to broaden the campaign automatically — and turned a settled tactic back into a live decision. The question is no longer whether to bid on your brand, but how much control to hand the machine when you do.
The emergence
The demand curve tells you this is contested, not resolved. It fell from 1,044 US searches to around 500 over the year — down roughly 52% — then spiked hard to 1,223 in March before settling again. That is the shape of a topic advertisers return to whenever the platform changes the rules, which AI Max just did. The debate re-emerges every time automation reaches into a place that used to be manual.
The commercial pull
A $7.00 CPC on a term Ahrefs rates KD 1 is the tell. This is not a hobbyist keyword; it is researched by advertisers with brand budgets and a specific fear — that money meant to defend their name is leaking onto searches that were never worth defending. The commercial stakes sit right at the brand terminal, the most efficient and most easily wasted line in the account.
Who’s competing for attention
The KD 1 score is one of the most misleading in this whole refresh. The real page is anything but trivial: a LinkedIn article at DR 99, a DR-95 Reddit thread arguing the case against brand bidding, and a wall of brand-protection vendors like Adthena and BrandVerity. The definition is well covered; the practitioner decision — AI Max or exact match — is where an operator’s judgment actually earns its place.
Growth or decline
The raw curve is declining, but the topic is cyclical rather than fading — it reawakens with every platform change, and AI Max is a big one. Expect the debate to persist as long as Google keeps offering to automate the one campaign type advertisers most want to keep on a short leash. This is not a dying question; it is a recurring one, and the recurrence is the opportunity.
| AI Max (broad) | Exact match | |
|---|---|---|
| Reach beyond brand terms | Yes | No |
| Control over matched queries | Low | High |
| Risk of adjacent spend | Higher | Lower |
| Defends the brand terminal | Partially | Fully |
| Predictable efficiency | Lower | Higher |
How PPC Snobs executes here
We treat the brand terminal as the account’s crown jewel — cheap to protect, expensive to leak. Our approach is to make the AI Max-versus-exact-match call from the search-term data, not the sales pitch: lock to exact match where broadening only invites waste, open it selectively where genuine incremental demand exists, and monitor the query mix so the brand line stays the efficient defender it is supposed to be. Optimised to the sale, not to the platform’s appetite for reach.
AI Max was quietly turning our cheapest campaign into a broad one. Pulling it back to exact match recovered the efficiency we thought we already had.