Google Ads is moving into a new era where AI [Artificial Intelligence] is no longer just a small optimization feature inside the platform. AI [Artificial Intelligence] is becoming the operating layer behind keyword expansion, ad copy customization, landing page selection, bidding, creative testing, product discovery, and campaign measurement.

One of the most important updates in this shift is AI Max for Search campaigns.

AI Max is Google’s AI-powered upgrade for Search campaigns. It is designed to help advertisers find more relevant searches, customize ad text more effectively, and send users to landing pages that better match their intent. Google describes AI Max as a suite of targeting and creative features that uses Google AI [Artificial Intelligence] to optimize ads in real time and tailor messaging to customers.

However, there is one important clarification marketers need to understand:

AI Max is currently a Search campaign feature. It is not a separate Shopping campaign type.

That means advertisers should not think of AI Max as a replacement for Shopping campaigns, Performance Max, or Demand Gen. Instead, AI Max should be understood as the AI [Artificial Intelligence] layer for Search campaigns, while Shopping, PMax [Performance Max], and Demand Gen use their own campaign systems, product feeds, creative assets, and optimization models.

The best Google Ads strategy is not to force AI Max into every campaign type. The better strategy is to understand how AI Max works in Search, then connect it intelligently with Shopping, PMax [Performance Max], Demand Gen, Merchant Center, and conversion tracking.

Quick Answer: What is AI Max in Google Ads?

AI Max is a set of AI-powered features for Google Search campaigns. It includes search term matching, text customization, and Final URL expansion. These features help Search campaigns expand beyond existing keywords, create more relevant ad messaging, and send users to landing pages that better match their search intent.

Google says advertisers that activate AI Max in Search campaigns typically see 14% more conversions or conversion value at a similar CPA [Cost Per Acquisition] or ROAS [Return on Ad Spend], based on Google internal 2025 data for non-retail advertisers.

That does not mean AI Max is a magic button. It means AI Max can create more opportunity when the account has strong inputs, such as clean conversion tracking, strong landing pages, relevant ads, accurate website content, and a clear campaign structure.

AI Max vs. Search vs. Shopping vs. Performance Max vs. Demand Gen

Before using AI Max, advertisers need to understand what each Google Ads campaign type is designed to do.

Campaign Type	Main Role	Uses Keywords?	Uses Product Feed?	Best Use Case
Search with AI Max	Capture high-intent demand with AI-powered expansion	Yes, plus AI expansion	No	Services, lead generation, ecommerce search intent
Standard Search	Capture high-intent demand with more keyword control	Yes	No	Traditional paid search control
Standard Shopping	Show product ads from Merchant Center	No traditional keywords	Yes	Product visibility and retail sales
Performance Max	Drive conversions across Google channels	No traditional keywords	Optional, often yes for retail	Cross-channel sales or lead generation
Demand Gen	Create and convert demand with visual ads	No traditional keywords	Optional	YouTube, Discover, Gmail, visual discovery

Shopping campaigns use Merchant Center product data rather than keywords to decide when and where products can show. Google explains that Shopping ads use existing product data, not keywords, to match ads to relevant searches.

PMax [Performance Max] is different. Google defines Performance Max as a goal-based campaign type that allows advertisers to access Google Ads inventory from a single campaign across channels such as YouTube, Display, Search, Discover, Gmail, and Maps.

Demand Gen is also different. It is designed for visually rich demand creation across Google surfaces and can use product feeds to help retailers show products in more visual discovery environments.

How AI Max Works in Search Campaigns

AI Max has two major functional areas:

Search term matching
Asset optimization

Together, these features help Search campaigns move beyond rigid keyword lists and respond to more complex, conversational, and long-tail search behavior.

1. Search Term Matching

Search term matching is one of the most important features in AI Max.

Google says search term matching uses broad match and keywordless technology to help advertisers find relevant and high-performing search queries that may not already exist in their keyword list. It learns from inputs such as existing keywords, creatives, and URLs.

This matters because search behavior has changed.

People do not always search with short, predictable keyword phrases anymore. They ask longer, more specific questions. They compare options. They search by need, problem, location, feature, budget, use case, and urgency.

For example, a traditional keyword list may include:

“Google Ads agency”
“PPC agency”
“paid search management”

But real users may search:

“agency to manage Google Search Ads for local businesses”
“how to get more qualified leads from Google Ads”
“best paid search partner for service companies”
“Google Ads consultant for ecommerce growth”
“PPC management company with conversion tracking”

AI Max helps Search campaigns expand into relevant queries that traditional keyword targeting may miss.

2. Asset Optimization

Asset optimization includes text customization and Final URL expansion.

Google says text customization can generate customized assets based on the advertiser’s domain, landing pages, existing ads, keywords, ad group content, and other assets. Final URL expansion can send users to more relevant URLs on the advertiser’s domain when Google predicts it may improve performance.

In plain English, AI Max helps Search campaigns do three things:

Find more relevant searches.
Customize ad messaging to better match intent.
Send the user to a more relevant landing page.

That combination is powerful because paid search is no longer only about exact keyword coverage. It is increasingly about intent coverage.

What Happens When You Turn On AI Max?

When AI Max is activated in a Search campaign, Google enables AI-powered settings such as search term matching, text customization, and Final URL expansion. Google’s documentation says text customization and Final URL expansion are part of the asset optimization panel, and turning on AI Max turns them on for the campaign, although advertisers can manage them individually.

This is important because AI Max gives Google more flexibility. That flexibility can help performance, but only when the advertiser uses the right controls.

Advertisers should review:

Campaign goals
Conversion actions
Landing pages
URL exclusions
Negative keywords
Brand controls
Location settings
Ad group themes
Compliance requirements
Reporting structure

One important operational note: Google’s documentation states that AI Max is not yet available in Google Ads API [Application Programming Interface] or Google Ads Editor. This matters for advertisers who rely heavily on bulk editing, scripts, or API [Application Programming Interface] workflows.

Does AI Max Replace Keywords?

No. AI Max does not remove the need for keywords.

The best way to think about it is this:

Keywords still define your strategic direction. AI Max expands the tactical reach.

Your keywords, ad groups, landing pages, and ads still help Google understand what your campaign is about. AI Max then uses those signals to find additional relevant queries.

For example, if you are advertising a professional service, your keyword strategy may focus on:

“business consulting firm”
“accounting firm near me”
“cybersecurity consulting company”
“tax planning services”
“Google Ads management agency”

AI Max may help expand into longer and more specific searches such as:

“firm that helps businesses with tax planning”
“consulting company for cybersecurity risk”
“agency to improve Google Ads lead quality”
“local accounting firm for business owners”

The advertiser still needs strategic control. AI Max expands from the foundation you build.

Does AI Max Respect Negative Keywords?

Yes. Google states that AI Max respects negative keywords.

That is critical because AI Max gives Google more matching flexibility, but advertisers still need to prevent irrelevant traffic.

Negative keyword management should remain active. Advertisers should review search terms and exclude irrelevant searches related to:

jobs
salary
training
free
templates
definitions
unrelated locations
low-quality research intent
unsupported services
products not sold
audiences the business does not serve

AI Max can help discover new demand, but negative keywords help keep that discovery aligned with business goals.

Final URL Expansion: One of the Most Important AI Max Features

Final URL expansion allows Google to send users to a more relevant page on your website instead of always using the Final URL attached to the ad.

Google says Final URL expansion is an opt-in, campaign-level setting available through AI Max for Search campaigns. It can send traffic to the most relevant URLs on your domain when Google predicts it is likely to improve performance. Google also says Final URL expansion will only send traffic to URLs that are query-relevant and themed to the ad group.

This can be very useful, but it also creates risk.

If your website is organized well, AI Max may help match users to stronger landing pages. If your website is messy, outdated, or full of irrelevant pages, AI Max may have a harder time selecting the right destination.

Before using Final URL expansion, review your website for:

outdated pages
thin service pages
low-quality blog posts
careers pages
login pages
privacy policy pages
terms pages
support pages
irrelevant location pages
duplicate content
pages with weak calls to action

Use URL exclusions to prevent Google from sending paid traffic to pages that should not receive campaign traffic.

AI Max and URL Controls

AI Max does not mean giving up all control. Google provides URL controls to help advertisers guide where traffic can go.

URL inclusions and exclusions are important because they help Google understand which pages are eligible or ineligible for ad traffic. Google’s documentation explains that URL controls help guide Google AI by specifying which parts of a website are eligible for ad serving.

Use URL inclusions for:

high-converting service pages
high-margin product category pages
strong landing pages
location pages
product collection pages
campaign-specific landing pages
pages with strong conversion intent

Use URL exclusions for:

blog content that is not conversion-focused
careers pages
privacy policy pages
terms pages
login pages
support documentation
low-quality or outdated pages
pages with unavailable products
pages outside the campaign theme

This is one of the most important best practices for AI Max.

AI Max and Responsive Search Ads

AI Max can work with RSA [Responsive Search Ads], but advertisers need to understand how asset flexibility changes when AI Max uses Final URL expansion.

Google’s documentation explains that pinned RSA [Responsive Search Ads] assets may not always be respected when Final URL expansion or URL inclusions are enabled, because the selected landing page may require different messaging to match user intent.

This matters for industries with strict compliance or legal review.

Be careful with AI Max if your ads require:

mandatory disclaimers
approved legal language
exact headline wording
strict brand messaging
regulated financial claims
healthcare restrictions
insurance compliance
franchise-level copy requirements

If pinned messaging must serve exactly as approved, review Google’s AI Max settings carefully before enabling Final URL expansion or URL inclusions.

How to Use AI Max for Lead Generation

AI Max can be very useful for lead generation, but only if conversion tracking is strong.

If the campaign only optimizes toward basic form submissions, AI Max may find more form fills without necessarily improving lead quality. For lead generation, the real goal is usually not more leads. The goal is more qualified leads, booked calls, appointments, opportunities, and revenue.

A stronger lead generation setup should track:

contact form submissions
phone calls
appointment bookings
quote requests
qualified leads
sales-qualified leads
closed deals
conversion value
offline conversions from CRM [Customer Relationship Management] data

AI Max performs best when Google has high-quality signals. Weak conversion tracking teaches the system to optimize toward weak outcomes.

Recommended AI Max Structure for Lead Generation

For a service-based business, a clean Search structure may look like this:

Campaign 1: Core Service Search

This campaign should focus on the highest-intent service terms.

Examples:

“business consulting services”
“Google Ads management agency”
“commercial cleaning company”
“tax planning services”
“cybersecurity consulting firm”

AI Max can help expand into related long-tail queries while the advertiser controls negatives, locations, and landing pages.

Campaign 2: Local Search

This campaign should focus on geography-based searches.

Examples:

“digital marketing agency in Columbus”
“accounting firm near me”
“IT consulting company in Ohio”
“local PPC agency”
“business consultant near me”

This works well when local intent is important.

Campaign 3: High-Value Service Line

This campaign should focus on the service that has the highest margin or strongest business value.

Examples:

“enterprise cybersecurity assessment”
“fractional CFO services”
“paid search management”
“commercial insurance broker”
“B2B software implementation partner”

Separating high-value services allows better budget control and performance analysis.

Campaign 4: Brand Search

Brand campaigns should be handled carefully. AI Max may not be needed on every brand campaign because brand terms often require tighter control.

How to Use AI Max for Ecommerce

For ecommerce, AI Max should support the Search layer of the account. It should not replace Shopping or PMax [Performance Max].

Use AI Max Search campaigns to capture:

category searches
problem-based searches
comparison searches
use-case searches
feature-based searches
high-margin product searches
non-brand product discovery searches

Neutral examples include:

“best office chair for back support”
“waterproof running shoes for men”
“modern dining table for small apartment”
“wireless headphones for work calls”
“affordable standing desk with storage”
“organic skincare set for sensitive skin”

These searches may not always be covered perfectly by Standard Shopping or PMax [Performance Max]. AI Max Search can help capture this demand through text ads and relevant landing pages.

AI Max and Shopping Campaigns: What Advertisers Need to Understand

This is one of the biggest areas of confusion.

AI Max is not currently a Standard Shopping campaign feature.

Standard Shopping campaigns use Merchant Center product data. Google explains that Shopping ads use product data rather than keywords to determine how and where ads show.

So when advertisers talk about “AI Max for Shopping,” they should usually mean one of two things:

Using AI Max Search campaigns to support ecommerce search intent.
Improving Shopping performance through better Merchant Center product data.

The real AI foundation for Shopping is not AI Max. It is the product feed.

Product Feed Quality Is the Core of Shopping Performance

For Shopping, PMax [Performance Max], and Demand Gen product ads, the product feed is one of the most important performance levers.

Google’s Merchant Center documentation says product data is used to match products to the right queries, and accurate, correctly formatted product data is essential for successful ads and free listings. Google also warns that incorrect or missing product data can cause disapprovals or display issues.

Important product feed attributes include:

product title
product description
product type
Google product category
brand
GTIN [Global Trade Item Number]
MPN [Manufacturer Part Number]
image link
additional image link
price
sale price
availability
condition
shipping
color
size
material
custom labels

If your feed is weak, Shopping performance will likely suffer. If your feed is strong, Google has better data to match your products to relevant demand.

How to Write Better Product Titles for Shopping and PMax

Product titles should be descriptive, accurate, and search-friendly.

A weak title may say:

“Dining Table”

A better title may say:

“Solid Wood Round Dining Table 60 Inch Natural Oak”

A weak title may say:

“Running Shoes”

A better title may say:

“Men’s Waterproof Trail Running Shoes Black Size 10”

A weak title may say:

“Desk Chair”

A better title may say:

“Ergonomic Office Chair with Lumbar Support and Adjustable Armrests”

Good product titles help Google understand what the product is, who it is for, and which searches it should match.

How AI Max and Shopping Should Work Together

AI Max and Shopping should support different parts of the customer journey.

Use AI Max Search for:

long-tail product searches
product comparison searches
problem-based queries
category education searches
high-intent non-brand searches

Use Standard Shopping for:

product listing visibility
product-level control
feed-based product matching
category or product group segmentation

Use PMax [Performance Max] for:

cross-channel conversion growth
product feed expansion
audience-based discovery
automated bidding across Google inventory

Use Demand Gen for:

visual product discovery
upper-funnel demand creation
product feed ads across visual surfaces
remarketing with strong creative

Together, these campaign types can create a more complete Google Ads system.

AI Max and Performance Max

AI Max and PMax [Performance Max] are not the same.

AI Max enhances Search campaigns. PMax [Performance Max] is a separate goal-based campaign type that can serve across Google channels. Google says Performance Max is designed to complement keyword-based Search campaigns and help advertisers find more converting customers across channels like YouTube, Display, Search, Discover, Gmail, and Maps.

PMax [Performance Max] uses asset groups, conversion goals, audience signals, creative assets, product feeds, and automated bidding to find conversions across Google’s inventory.

How Asset Groups Work in Performance Max

Google defines an asset group as a collection of creatives centered on a theme or target audience within a Performance Max campaign. The assets in the group are used to assemble ads across applicable formats for the campaign objective.

A strong asset group should be built around one clear theme.

Examples of strong PMax [Performance Max] asset group themes:

Best sellers
New arrivals
High-margin products
Seasonal promotion
Women’s apparel
Men’s footwear
Luxury furniture
Professional services
Local service offering
Enterprise software solution

Avoid creating one generic asset group for everything if the business has multiple product lines, audiences, or service categories.

Listing Groups in Performance Max

For retail advertisers, listing groups are essential because they determine which Merchant Center products are included in the PMax [Performance Max] asset group.

Advertisers can structure listing groups by product attributes such as:

brand
product type
item ID [Identifier]
custom label
condition
channel
category

Useful custom labels include:

high margin
low margin
best seller
new arrival
seasonal
clearance
priority product
low inventory
high inventory
premium product

This helps advertisers align budget and automation with business strategy.

Video Assets in Performance Max Matter

PMax [Performance Max] is not only a Shopping campaign. It can serve across visual inventory, including YouTube.

Google says video ads are critical to Performance Max campaigns and can help campaigns run on additional video inventory. Advertisers can upload videos, create videos in the Asset library, or allow Google AI [Artificial Intelligence] to create videos using existing assets.

This means advertisers should not leave video creative to chance.

Strong PMax [Performance Max] video assets may include:

product demos
customer testimonials
service explainers
brand overview videos
use-case videos
short vertical videos
offer-focused creative
educational content

If the advertiser does not provide strong video, Google may create something functional, but it may not fully match the brand’s standard.

AI Max and Demand Gen

Demand Gen is not AI Max, but it is part of Google’s broader AI-driven advertising ecosystem.

Demand Gen campaigns are designed to help advertisers create demand with visually engaging ads across surfaces like YouTube, Discover, and Gmail. Google’s documentation explains that Demand Gen campaigns include creative asset reporting, product feed options, and best practices for images and videos.

Demand Gen can also use Merchant Center product feeds. Google states that Demand Gen product feed ads render as a single ad where relevant products and offers from the Merchant Center feed populate the ad.

This makes Demand Gen useful for ecommerce brands that want to show product visuals before the user begins an active search.

When to Use Demand Gen

Use Demand Gen when the goal is to create or nurture demand.

Demand Gen is useful for:

ecommerce prospecting
product discovery
remarketing
visual storytelling
YouTube engagement
seasonal promotions
brand consideration
customer education
audience expansion

Demand Gen is different from Search. Search captures demand that already exists. Demand Gen helps create demand before the search happens.

Demand Gen With Product Feeds

For ecommerce, Demand Gen with product feeds can act like a visual storefront across Google surfaces.

Use product feeds in Demand Gen when you want to:

show product images
promote product categories
retarget product viewers
support seasonal promotions
introduce new collections
drive users back to product pages
create visual product discovery

Google’s Demand Gen best practices explain that retailers can use Merchant Center product feeds to help consumers discover brands and products, and those feeds can appear in Demand Gen and other Google campaign types.

How AI Max, Shopping, Performance Max, and Demand Gen Work Together

A mature Google Ads account does not rely on one campaign type. Each campaign type should have a defined role.

Search With AI Max

Use this to capture high-intent searches and expand into relevant query variations.

Best for:

lead generation
service searches
product category searches
local intent
high-value non-brand queries
long-tail query discovery

Standard Shopping

Use this for product feed-driven visibility with more direct product grouping and control.

Best for:

product listing ads
retail campaigns
controlled product segmentation
product-level performance analysis

Performance Max

Use this for broader conversion growth across Google inventory.

Best for:

ecommerce sales
lead generation with strong tracking
product feed expansion
cross-channel conversion growth
new customer acquisition

Demand Gen

Use this to create visual demand and support discovery.

Best for:

upper-funnel product discovery
remarketing
visual storytelling
YouTube-based engagement
product feed-based discovery

Example Strategy for an Ecommerce Brand

Let us say an ecommerce brand sells home goods, fashion, electronics, or specialty retail products.

A strong Google Ads structure could include:

AI Max Search Campaigns

Use AI Max for high-intent searches such as:

“best office chair for back support”
“modern dining table for small apartment”
“noise-canceling headphones for work”
“waterproof running shoes for men”
“organic skincare for sensitive skin”

Standard Shopping Campaigns

Use Shopping campaigns to promote products directly from Merchant Center and maintain product group control.

Performance Max Campaigns

Use PMax [Performance Max] for broader conversion growth across Google inventory.

Structure PMax [Performance Max] by:

best sellers
high-margin products
new arrivals
seasonal products
clearance inventory
product categories

Demand Gen Campaigns

Use Demand Gen for visual product discovery, lifestyle creative, and remarketing.

Remarketing

Retarget users who:

viewed product pages
added items to cart
watched videos
visited category pages
started checkout
engaged with previous ads

This structure gives the brand high-intent capture, product visibility, cross-channel automation, and visual demand creation.

Example Strategy for a Lead Generation Business

Let us say a business provides professional services, healthcare services, financial services, home services, consulting, or B2B [Business to Business] solutions.

A strong structure could include:

AI Max Search Campaigns

Use AI Max to capture high-intent queries such as:

“business consulting company near me”
“Google Ads agency for lead generation”
“cybersecurity consulting firm”
“tax planning services for businesses”
“commercial cleaning company”

Performance Max Campaigns

Use PMax [Performance Max] carefully for lead generation, but only when conversion tracking is strong enough to distinguish lead quality.

Demand Gen Campaigns

Use Demand Gen for awareness, education, retargeting, and trust-building.

Landing Pages

Create service-specific landing pages with:

clear headline
service explanation
proof points
location relevance
testimonials
strong CTA [Call to Action]
form and phone tracking

Offline Conversion Tracking

Import qualified lead and sales data into Google Ads when possible. This helps Google optimize toward business outcomes, not just raw form submissions.

AI Max Best Practices

1. Start With Clean Conversion Tracking

Do not enable AI Max if your conversion tracking is weak.

Track meaningful actions such as:

phone calls
form submissions
purchases
appointments
qualified leads
closed deals
revenue
conversion value

The quality of the input affects the quality of the optimization.

2. Use Thematic Ad Groups

AI Max needs clear signals.

Avoid mixing unrelated products or services in the same ad group.

A weak ad group may include:

consulting
software
accounting
design
training

A better structure would separate those into individual ad groups or campaigns.

3. Keep Search Term Reviews Active

AI Max expands reach, but search term reviews still matter.

Use the search terms report to identify:

new keyword opportunities
irrelevant searches
negative keyword needs
emerging customer language
high-performing long-tail queries

Google’s AI Max reporting documentation says advertisers can use reporting metrics such as the search terms report, keyword report, asset report, and landing pages report to understand AI Max performance.

4. Use URL Exclusions

Exclude pages that should not receive paid traffic.

This includes:

careers pages
privacy policy pages
login pages
terms pages
unrelated blog posts
outdated landing pages
low-converting content
unavailable product pages

5. Use Strong Landing Pages

AI Max can find more searches, but landing pages still convert the traffic.

Strong landing pages include:

clear headline
relevant offer
strong CTA [Call to Action]
proof points
reviews or testimonials
simple form
mobile-friendly design
fast load speed
clear next step

6. Be Careful With Compliance

If you work in a regulated category, review AI Max settings carefully.

Pay attention to:

text customization
Final URL expansion
pinned assets
brand controls
claims language
required disclaimers

7. Do Not Launch AI Max Across Everything At Once

Start with a test.

Choose a campaign with:

enough conversion volume
strong landing pages
clear ad group themes
accurate tracking
clean negatives
manageable budget

Then compare performance before expanding.

8. Use Automated Bidding

AI Max is designed to work with automated bidding. Google’s documentation says search term matching does not work with Manual CPC [Cost Per Click] because AI Max depends on signals from automated bidding strategies like Maximize Conversions or Maximize Conversion Value.

9. Align AI Max With PMax and Shopping

Do not let campaign types compete without a strategy.

Define the role of each campaign:

AI Max Search captures intent.
Shopping shows products from the feed.
PMax [Performance Max] expands across channels.
Demand Gen creates visual demand.
Remarketing brings users back.

10. Improve Merchant Center Feed Quality

For retail advertisers, feed quality is campaign quality.

Optimize:

product titles
descriptions
images
categories
product type
GTIN [Global Trade Item Number]
brand
custom labels
price
availability

Google uses this product data to match products to relevant queries.

Common Mistakes to Avoid

Mistake 1: Thinking AI Max Is a Separate Campaign Type

AI Max is not a standalone campaign type. It is a feature suite for Search campaigns.

Mistake 2: Thinking AI Max Is Available for Standard Shopping

AI Max does not run inside Standard Shopping campaigns. Shopping relies on Merchant Center product data.

Mistake 3: Turning On Final URL Expansion Without Reviewing the Website

Final URL expansion can send users to more relevant pages, but only if the site has strong pages and proper exclusions.

Mistake 4: Optimizing Toward Weak Conversions

If the campaign optimizes toward low-quality form fills, AI Max may find more low-quality form fills.

Mistake 5: Ignoring Product Feed Quality

For Shopping, PMax [Performance Max], and Demand Gen product ads, weak product data creates weak matching.

Mistake 6: Using One Generic PMax Asset Group

Performance Max asset groups should be structured around clear themes, categories, or audiences.

Mistake 7: Not Uploading Video Assets

PMax [Performance Max] can use video inventory. Google says video ads are critical to campaign success and can help campaigns run on additional video inventory.

Mistake 8: Measuring Only Platform-Level Leads

For lead generation, advertisers should measure qualified leads, sales-qualified leads, opportunities, and closed deals where possible.

Reporting Framework for AI Max, Shopping, Performance Max, and Demand Gen

Each campaign type should be measured differently.

AI Max Search Metrics

Track:

conversions
conversion value
CPA [Cost Per Acquisition]
ROAS [Return on Ad Spend]
search terms
keyword performance
asset performance
landing page performance
cost per qualified lead

Shopping Metrics

Track:

product revenue
ROAS [Return on Ad Spend]
product-level clicks
product-level conversions
feed disapprovals
product group performance
impression share
margin-adjusted performance

Performance Max Metrics

Track:

conversion value
ROAS [Return on Ad Spend]
asset group performance
listing group performance
audience insights
search category insights
new customer acquisition
product-level performance

Demand Gen Metrics

Track:

conversions
assisted conversions
video engagement
product feed interaction
remarketing performance
view-through conversions
branded search lift
audience-level performance

Recommended Google Ads Account Structure

A strong account may include:

Search

Brand Search
Non-Brand Search with AI Max
Local Search
High-Value Service Search
Product Category Search

Shopping and PMax [Performance Max]

Standard Shopping for controlled product visibility
PMax [Performance Max] for best sellers
PMax [Performance Max] for high-margin products
PMax [Performance Max] for seasonal products
PMax [Performance Max] for new customer acquisition

Demand Gen

Prospecting
Remarketing
Product feed discovery
Seasonal promotion
Video education

Measurement

Google Ads conversion tracking
GA4 [Google Analytics 4]
Enhanced conversions
Offline conversion imports
CRM [Customer Relationship Management] integration
Revenue or lead value tracking

Final Takeaway

AI Max is one of the most important Google Ads updates for Search campaigns because it combines expanded search term matching, text customization, and Final URL expansion into one AI-powered Search layer.

But AI Max is not the same as Shopping, PMax [Performance Max], or Demand Gen.

The right way to use Google AI [Artificial Intelligence] is to give each campaign type a clear job:

Use AI Max Search to capture high-intent searches and expand into relevant query variations.
Use Shopping to show product ads from Merchant Center product data.
Use PMax [Performance Max] to drive cross-channel conversion growth.
Use Demand Gen to create visual demand and product discovery.
Use Merchant Center as the retail data foundation.
Use conversion tracking to teach Google what business success actually means.

AI Max gives advertisers more reach and more flexibility. But the advertisers who win will not be the ones who blindly turn on automation. They will be the ones who provide better inputs, cleaner data, stronger landing pages, sharper creative, and clearer campaign structure.

FAQ [Frequently Asked Questions]

Is AI Max available for Shopping campaigns?

No. AI Max is a Search campaign feature. Standard Shopping campaigns use Merchant Center product data rather than keywords to determine when products appear.

Is AI Max the same as Performance Max?

No. AI Max enhances Search campaigns. PMax [Performance Max] is a separate goal-based campaign type that can run across Google inventory such as YouTube, Display, Search, Discover, Gmail, and Maps.

Should ecommerce brands use AI Max?

Yes, but primarily for Search campaigns. Ecommerce brands can use AI Max to capture product-related searches, while using Shopping, PMax [Performance Max], and Demand Gen for product feed-driven campaigns.

Does AI Max respect negative keywords?

Yes. Google states that AI Max respects negative keywords.

Does AI Max work with Manual CPC [Cost Per Click]?

Google’s documentation says AI Max search term matching does not work with Manual CPC [Cost Per Click] because it relies on automated bidding signals.

What is the biggest risk of AI Max?

The biggest risk is enabling AI Max without strong conversion tracking, URL exclusions, negative keywords, landing page quality, and compliance controls.

What should retailers optimize before using Shopping, PMax [Performance Max], or Demand Gen product ads?

Retailers should optimize their Merchant Center product feed. Google says accurate and correctly formatted product data is essential for successful ads and free listings.