TRINZIK.AI

Blog · Paid media

AI Max turns one: the brief is the new bid

A year in, Google's AI Max for Search adds AI Brief: you steer the campaign with plain-language instructions instead of bids and match types. The skill in paid search just moved from managing numbers to writing the brief.

By Bob Michaels ·

A year after launch, Google's AI Max for Search has a new control surface, and it tells you where the skill in paid search is heading. On April 30, Google announced AI Brief: you steer the AI with plain-language instructions instead of bids and match types. The lever that used to be a number is now a paragraph.

What Google announced

Google marked AI Max's first birthday by naming it the standout in its category:

Since launch, AI Max has become the fastest-growing AI-powered Search ads product.

The centerpiece of the update is AI Brief:

Powered by Gemini, AI Brief offers a new way to use your own words to steer AI Max. You can provide rich context by informing AI on your business, what you want your messages to say and who you want to reach.

It splits your input into three kinds of instruction. Messaging guidelines tell the AI what ads should and should not say, with Google's own example being "never mention prices." Matching guidelines set which searches to chase or avoid, such as "prioritize searches for healthy pantry staples." Audience guidelines describe who to reach and how to speak to them. It runs a review loop rather than firing blind:

AI Brief keeps you in the driver's seat by sharing previews of sample assets and searches so you can provide feedback and iterate before you commit.

Google also brought AI Max to Shopping campaigns and travel formats, and launched text disclaimers so an advertiser in a regulated industry can keep mandatory text in its ads even while using final URL expansion. You can read the full update at https://blog.google/products/ads-commerce/ai-max-new-features/.

In plain English

For years, running a search campaign meant managing numbers: bids, budgets, match types, negative keyword lists. AI Brief replaces a large part of that with writing. You tell the system, in sentences, what to say, what to chase, and who to reach. Then you look at the previews it generates and correct them.

That is a different skill from the old one. Writing "prioritize searches for healthy pantry staples" well, and knowing why it beats a vaguer "prioritize grocery searches," is not bid management. It is editorial judgment about positioning and audience. The preview loop makes it a craft you improve by doing: you read what the AI proposes, you catch where it went wrong, you tighten the brief, you look again.

The three guideline types map onto three questions a good marketer already answers. Messaging is what to say. Matching is which demand to go after. Audience is who to say it to. AI Brief did not invent those questions; it just made your answers the direct input to the campaign, in plain words, where before they were buried in keyword lists and bid rules that only approximated them.

Why this matters for your business

Campaigns are not won at the bid anymore. They are won at the brief. And a vague brief produces a vague campaign. "Reach everyone interested in our products" tells the AI almost nothing, so it fills the gap with its own guesses, and you pay for those guesses.

The instructions that work are specific, and specificity comes from actually knowing the business: which searches are worth money and which look relevant but never convert, which claims are on brand and which quietly erode it, who the real buyer is versus who merely clicks. None of that lives inside the ad platform. It comes from strategy you already hold or need to develop.

There is also a review burden hiding in that preview loop. The system shows you sample assets and searches so you can catch mistakes before they run, but somebody has to actually read them, every time, with the judgment to tell what is off. Skip that step and AI Brief will confidently execute a bad brief at full scale.

Working with Trinzik on this

Writing the brief is the work we do. Our paid search practice is built around exactly this shift. We treat the messaging, matching, and audience guidelines as strategic copy, not settings. We write them from what we know about your buyers, we run the preview loop, and we revise the brief as the search-term data comes back.

If the lever is now a paragraph, it is worth having someone write it who does this every day. Start a conversation and we will show you what a well-written brief looks like against yours.

Questions this raises

What is AI Brief in Google's AI Max for Search campaigns?

AI Brief is a feature Google added to AI Max in April 2026 that lets an advertiser steer the AI with plain-language instructions instead of bids and match types. It is powered by Gemini and splits input into messaging guidelines (what ads should say), matching guidelines (which searches to chase or avoid), and audience guidelines (who to reach), with previews you can review before committing.

Has AI Max expanded beyond Search campaigns?

Yes. As of Google's April 2026 one-year update, AI Max expanded to Shopping campaigns, using Merchant Center feeds to answer conversational product queries, and to Search campaigns for Travel, which bring fragmented Travel campaign types into one interface.

Can regulated advertisers use AI Max's final URL expansion and still show required disclaimers?

Yes. Google introduced text disclaimers alongside the April 2026 AI Max update, which guarantee that required text always appears in an ad even when final URL expansion is active, letting advertisers in regulated industries maintain compliance while still routing clicks to the most relevant landing page.

Sources

  1. AI Max Turns 1 with new ways to steer performance and expansion to more advertisers · The Keyword (Google), April 30, 2026
  2. AI Max for Shopping campaigns
  3. Text disclaimers help documentation

Read your business the way an agent will.

Book a walkthrough and we'll run our measurement live against your own site, so you can see what the AI engines see.