Google AI Max for Search: Complete Setup Guide 2025

When Google announced AI Max for Search at Google Marketing Live in May 2025, the promises were extraordinary: 14% average conversion lift, with up to 27% for campaigns using exact and phrase match keywords. Case studies showcased conversion surges of 263% and cost-per-acquisition reductions of 73%. But here's what Google didn't lead with: independent testing by Monks Agency found that 99% of AI Max impressions generated zero conversions across approximately 30,000 search terms, and a LinkedIn poll of PPC professionals revealed only 16% reporting good performance with the feature.

This isn't a story of Google making false promises or AI Max being worthless. It's a story about the massive gap between cherry-picked success stories and typical advertiser experiences. At Digital Applied, we don't tell you what Google wants us to say—we tell you what actually works. This guide presents both Google's official claims and independent testing results so you can make informed decisions about whether AI Max belongs in your advertising strategy.

AI Max for Search is a suite of AI-powered enhancements for Google Search campaigns that uses keywordless matching, generative ad copy, and dynamic landing page selection to expand your campaign reach beyond traditional keywords. When it works, it discovers high-converting queries you'd never think to target manually. When it doesn't, it burns budget on irrelevant clicks while providing limited transparency into why. Success depends heavily on your industry vertical, campaign structure, budget size, and willingness to actively manage an AI system that requires human oversight.

Key Takeaways

• The Reality Gap: Google claims 14-27% conversion lift, but only 16% of advertisers report good performance in independent testing.
• Exact Match Advantage: AI Max works best for campaigns heavily using exact/phrase keywords (27% lift potential vs 14% average).
• May 2025 Launch: Announced at Google Marketing Live, rolling out Q3 2025 with Smart Bidding Exploration and campaign-level negative keywords.
• Minimum Requirements: $50/day budget minimum required, but $750/day recommended for optimal performance based on agency testing.
• Search-Only Focus: Unlike Performance Max, AI Max enhances Search campaigns specifically with more transparency and control.

What is Google AI Max for Search?

AI Max for Search is not a new campaign type—it's an optional suite of AI-powered enhancements that can be enabled within new or existing Google Search campaigns. Officially announced on May 6, 2025 via the Google Ads blog and featured prominently at Google Marketing Live on May 21, 2025, AI Max began its global rollout in Q3 2025. It's currently available in the Google Ads web interface, Google Ads Editor, and Search Ads 360, with full API support arriving in H2 2025.

The core premise is straightforward: AI Max applies Google's latest artificial intelligence technology to three key campaign elements—search term targeting, ad copy creation, and landing page selection—to find conversions your traditional keyword-based campaigns miss. Unlike Performance Max, which operates as a black box across all Google properties, AI Max maintains the transparency and control of Search campaigns while adding AI-powered expansion capabilities on top of your existing keyword structure.

The Three Core Features

1. Search Term Matching: Expands beyond your keywords using broad match enhancement and keywordless technology to match queries you haven't explicitly targeted, similar to Dynamic Search Ads but more sophisticated.

2. Text Customization: Uses generative AI to create ad headlines and descriptions dynamically based on your landing pages, existing ads, and the specific search query, optimizing messaging in real-time.

3. Final URL Expansion: Analyzes your entire website and dynamically sends users to the most relevant landing page based on their search query, rather than using only your manually specified URLs.

Each feature can be toggled on or off independently at the campaign or ad group level, giving you granular control over how aggressively AI Max expands your campaigns. You can start conservatively with just search term matching, or enable all three features together for maximum AI-powered expansion. Google's case studies highlighting 263% conversion surges typically involve advertisers enabling all three features simultaneously, while more cautious implementations using selective feature activation report more modest (and more typical) results.

AI Max requires Smart Bidding strategies focused on conversions (Max Conversions or Max Conversion Value with optional CPA/ROAS targets), a minimum of 30 conversions in the past 30 days, and at least $50 daily budget. However, agency testing suggests the recommended budget is actually 15 times your target CPA—meaning if your target cost-per-acquisition is $50, you should budget $750 per day for optimal AI Max performance.

AI Max vs Performance Max: Complete Comparison

The most common misconception about AI Max is that it replaces Performance Max. It doesn't. These are complementary tools serving different strategic purposes, and Google explicitly recommends using both together in what they call the "Power Pack" approach. AI Max enhances Search campaigns specifically, while Performance Max operates as a standalone multichannel campaign type across all Google inventory.

Aspect	AI Max for Search	Performance Max
Campaign Type	Enhancement to Search campaigns	Standalone campaign type
Inventory	Google Search only	All Google properties (Search, YouTube, Display, Gmail, Maps, Discovery)
Transparency	Full search terms reporting with source attribution	Limited transparency ("black box")
Control	Keyword-level control maintained, campaign/ad group negatives	Campaign-level negative keywords only, limited keyword control
Targeting	Keyword-based + AI expansion	Goal-based, fully automated
Best For	Search transparency with AI performance	Maximum reach across all channels
Setup	Add to existing Search campaigns	New campaign structure required

When to Use AI Max

• You want to maintain Search campaign structure and transparency
• Keyword-level control is important for your business
• You need detailed search terms reporting for optimization
• You're primarily focused on Search inventory rather than multichannel
• Your campaigns heavily use exact and phrase match keywords (27% lift potential)
• You're in a regulated industry requiring tight messaging control

When to Use Performance Max

• You want maximum reach across all Google channels simultaneously
• You're willing to sacrifice transparency for automation and scale
• You have strong creative assets for display, video, and discovery formats
• Your goal is multichannel brand awareness and conversions
• You need to scale quickly without manual campaign management

The Portfolio Approach (Recommended)

Rather than choosing one or the other, Digital Applied recommends a portfolio strategy for most advertisers: allocate 40-50% of budget to traditional Search campaigns for core brand and high-intent terms, 25-30% to AI Max Search for expansion and discovery, and 20-25% to Performance Max for multichannel reach and remarketing. This approach captures the benefits of each campaign type while hedging against the weaknesses of any single automated solution.

Key Features & Capabilities

AI Max for Search consists of three main features that work independently or together to expand your campaign reach beyond traditional keyword targeting. Each feature addresses a specific limitation of manual Search campaigns, and each comes with its own set of benefits and risks that require careful management.

1. Search Term Matching (Keywordless Technology)

What It Does: Expands beyond your existing keywords using both broad match enhancement and keywordless matching technology to find relevant search queries you haven't explicitly targeted. Think of it as Dynamic Search Ads combined with more sophisticated broad match—it analyzes your landing pages, ad assets, and campaign context to predict which searches are likely to convert, then matches your ads to those queries even without specific keyword triggers.

The Reality: While Google presents this as intelligent expansion, Monks Agency's testing revealed that less than half of AI Max search terms show they're matched to an existing keyword, meaning the majority function as keywordless advertisements without clear targeting logic. The search terms report displays "AI Max" as a new match type for these incremental queries, but reviewing those terms often reveals relevance issues.

Control Options: Search term matching can be toggled on or off at the ad group level, giving you selective control over which parts of your campaign use keywordless expansion. Campaign-level and ad group-level negative keywords are fully respected.

2. Text Customization (Generative Ad Copy)

What It Does: Uses generative AI to dynamically create and optimize ad copy including headlines, descriptions, and calls-to-action based on your website content, existing ad assets, and the specific search query. Rather than serving static responsive search ads, the AI assembles customized ad combinations in real-time to match user intent more precisely.

The Reality: Text customization can generate highly relevant ad copy, but it can also pull content from unexpected places. Advertisers have reported seeing headlines pulled from blog articles rather than product pages. This unpredictability creates brand safety concerns. AI-generated copy could include misleading claims, legally risky statements, or messages that violate industry regulations.

Control Options: Can be toggled on or off at the campaign level. Important limitation: If Final URL Expansion is enabled, pinned RSA assets will NOT be respected.

3. Final URL Expansion (Dynamic Landing Pages)

What It Does: Analyzes your entire website and dynamically sends users to the most relevant landing page based on their specific search query, rather than using only the manually specified final URL. The AI evaluates page content across your site to determine which page best matches the searcher's intent.

The Reality: Final URL expansion only works if text customization is also enabled, and it requires a comprehensive, well-organized website to function properly. The risk is sending traffic to wrong or low-converting pages—about pages, blog posts, outdated content, or pages not designed for conversion.

Control Options: Toggle on/off at campaign level, with URL exclusions at campaign level to prevent specific pages from being used, and URL inclusions at ad group level to prioritize certain pages. Enabled by default when AI Max is activated.

Smart Bidding Exploration (Related Feature)

Announced alongside AI Max at Google Marketing Live 2025, Smart Bidding Exploration represents Google's biggest bidding update in over a decade. It expands Smart Bidding to explore high-potential search queries previously overlooked, including more general or early-stage customer intent queries. Google claims it delivers an 18% increase in unique search query categories with conversions and 19% more conversions on average.

Complete Setup Guide: Step-by-Step

Setting up AI Max correctly from the start significantly impacts your results. The difference between successful implementations and failed tests often comes down to proper prerequisites, strategic feature selection, and choosing the right testing methodology.

Prerequisites Checklist

• Smart Bidding Active: Must use Max Conversions or Max Conversion Value (with optional CPA/ROAS targets)
• Conversion Tracking: Minimum 30 conversions in past 30 days (100+ recommended for optimal performance)
• Budget Adequacy: $50/day minimum required, $750/day recommended (15x target CPA)
• Negative Keywords: Comprehensive negative keyword lists in place before enabling
• Website Quality: Well-organized site with comprehensive content for AI analysis
• Enhanced Conversions: Enabled for better conversion tracking and optimization

Setup Option 1: New AI Max Campaign

1. Create New Campaign: In Google Ads, click "+" → "New campaign" → Select "Search" as campaign type → Choose conversion goals
2. Configure Bidding: Select Max Conversions or Max Conversion Value → Optionally set target CPA or ROAS → Set daily budget (minimum $50, recommended 15x CPA)
3. AI Max Opt-In: When you reach the "AI Max" page during creation, toggle to opt-in → All three features enabled by default
4. Configure Features: Choose which features to enable (conservative: search term matching only; aggressive: all three)
5. Set Exclusions: Add brand exclusions, URL exclusions, and campaign-level negative keywords
6. Complete Setup: Add keywords (will work alongside AI), create RSA ads, configure targeting
7. Ad Group Settings: Toggle search term matching per ad group, add URL inclusions, set locations of interest if needed

Setup Option 2: Enable on Existing Campaign

1. Verify Eligibility: Confirm campaign uses Smart Bidding and meets minimum requirements
2. Access AI Max Settings: Within campaign settings, locate "AI Max" section → Toggle to enable
3. Configure Campaign-Level: Choose features to enable → Set URL exclusions and brand settings
4. Configure Ad Group-Level: Toggle search term matching per ad group → Add URL inclusions
5. Monitor Closely: Watch for performance changes during 2-4 week learning period

Setup Option 3: Test with Experiments (Recommended)

This is the safest approach for testing AI Max without risking your existing campaign performance. Digital Applied recommends this method for all first-time AI Max implementations.

1. Create Experiment: Navigate to "Experiments" in Google Ads → Select campaign to test → Choose "Create custom experiment"
2. Set Parameters: Base Campaign = existing Search (control) → Experiment Campaign = duplicate with AI Max (treatment) → 50/50 traffic split
3. Enable AI Max: In experiment campaign only, enable AI Max settings → Choose features to test
4. Match Budgets: Apply same daily budget to both campaigns for fair comparison
5. Run 4+ Weeks: Minimum 2-4 weeks learning period plus 2+ weeks evaluation period
6. Evaluate Results: Compare conversions, CPA/ROAS, conversion rate, search terms quality
7. Decision Point: If experiment wins, apply AI Max to base campaign → If underperforms, disable and optimize approach

Feature Selection Strategy

Conservative Approach: Start with search term matching only, monitor for 2-4 weeks, then add text customization if performing well, finally add final URL expansion only if website is comprehensive and well-organized.

Aggressive Approach: Enable all three features together from day one for maximum AI-powered expansion. This is what Google's highest-performing case studies did (L'Oréal, Royal Canin, ClickUp), but it also carries the highest risk.

Selective Approach: Enable different features at different ad group levels based on performance and risk tolerance.

Performance: Google's Claims vs Independent Testing

This is where we separate marketing promises from actual results. Google's official announcement promised extraordinary performance gains, backed by cherry-picked case studies. Independent testing tells a dramatically different story.

Google's Official Claims (May 2025)

• 14% average conversion lift at similar CPA/ROAS (based on internal Google data from 2025 campaigns)
• 27% lift for exact/phrase match-heavy campaigns (representing the upper range for optimal campaign structures)
• Important exclusion: The 14% benchmark explicitly excludes retail advertisers

Google's Featured Case Studies

• Royal Canin (Pet Products): 263% surge in conversions, 73% reduction in CPA
• Klook (Travel/Tourism): 161% increase in conversion value, 25% increase in ROAS within one month
• L'Oréal (Beauty): 2X higher conversion rate, 31% lower cost-per-conversion
• ClickUp (SaaS/B2B): 20% incremental conversion lift, 16% higher incremental ROAS, 22% lower CPA

These case studies represent Google's most successful implementations—not typical results.

Independent Testing Results

• Monks Agency Multi-Account Analysis: Testing across ~30,000 AI Max search terms revealed that 99% of impressions had zero conversions. Less than half of search terms showed they were matched to a keyword.
• LinkedIn Poll (Adriaan Dekker): Only 16% of PPC professionals reported good performance with AI Max, while 84% reported neutral or negative results.
• PPC Live Community Testing: Mixed outcomes reported. Some campaigns showed minimal spend and low conversions, others achieved positive ROAS. Common theme: unusual and unexpected query matching with search term relevance issues.
• B2B Case Example: Anonymous B2B advertiser reported AI Max conversion rate of just 0.76%—their worst-performing match type in the entire account.

Why the Reality Gap Exists

1. Cherry-Picked Case Studies: Google features only their most successful implementations representing the top 1% of outcomes.
2. Industry Vertical Matters Enormously: Google explicitly excludes retail from the 14% benchmark.
3. Account Maturity Affects Results: Well-optimized accounts with 5+ years of performance data see fewer gains.
4. Implementation Quality Varies Widely: ClickUp's success came from enabling all three AI Max features together.
5. Budget Adequacy is Critical: Real-world testing shows $750/day budgets deliver significantly better results than the $50/day minimum.
6. Beta Participants vs. General Rollout: Google's 14% data comes from beta participants who were highly engaged advertisers.

Success Factors & Best Practices

After analyzing Google's case studies, independent testing, and agency implementations, clear patterns emerge around what makes AI Max succeed.

Campaign Prerequisites

• Smart Bidding Already Working: AI Max amplifies Smart Bidding performance. If your Target CPA or Target ROAS isn't stable, fix that first.
• Quality Conversion Tracking: 30+ conversions minimum, but 100+ monthly conversions deliver optimal performance.
• Comprehensive Negative Keywords: Build extensive negative keyword lists before enabling AI Max.
• Budget Adequacy: Agency testing shows $750/day (15x target CPA) is what actually delivers consistent results.

Account Structure That Excels

Exact and Phrase Match Heavy Campaigns: This is where Google's 27% lift claim applies. Campaigns that rely heavily on exact and phrase match have the most untapped search volume for AI Max to discover.

Maxed Out Impression Share: Campaigns already showing for 90%+ of searches on current keywords can't grow without expanding targeting. AI Max finds the incremental volume.

Website Content Quality

AI Max needs comprehensive, well-organized landing pages to function properly. Text customization pulls headlines from your site content—if product descriptions are thin or blog content is sparse, the AI has less material to work with.

Best-Performing Industries

1. E-commerce: Clear conversion events, product feeds provide rich data. Royal Canin achieved 263% conversion surge, L'Oréal saw 2X conversion rate improvement.
2. B2B/SaaS: AI Max matches conversational search patterns. ClickUp achieved 20% conversion lift with 16% higher ROAS.
3. Travel/Tourism: Long-tail conversational queries dominate travel searches. Klook saw 161% conversion value increase.
4. Utilities/Services: Lead generation when properly configured. MyConnect achieved 16% more leads at 13% lower CPA.

Active Management Requirements

AI Max is not "set and forget." Successful implementations require daily monitoring during the first 2 weeks, then weekly search terms review ongoing. Watch for competitor brand bidding, search term relevance issues, and Search Partner Network problems (37% lower ROAS on SPN). Many experts recommend excluding Search Partner Network entirely when using AI Max.

When to Use AI Max (and When to Avoid)

Test AI Max If You Have:

• Exact/Phrase Match Heavy Campaigns (60%+ of keywords)
• E-commerce with Strong Product Content
• B2B/SaaS Targeting Conversational Queries
• Maxed Out Impression Share (90%+ of existing searches)
• $750+/day Budgets
• Comprehensive, Well-Organized Website
• 100+ Monthly Conversions

Avoid AI Max If You Have:

• Lead Generation Without Offline Tracking
• Regulated Industries (pharmaceutical, healthcare, legal, financial)
• Budget Constraints Under $50/day
• New Accounts Without Conversion History
• Already Using 70%+ Broad Match
• Poor Website Quality
• Strict Messaging Requirements

Decision Framework

Ask yourself: (1) Do I have exact/phrase match-heavy campaigns with room to expand? (2) Can I allocate $750+/day for testing? (3) Do I have 100+ monthly conversions and quality tracking? (4) Is my website comprehensive and well-organized? (5) Am I willing to actively monitor and optimize for 4+ weeks? If you answer yes to all five, test AI Max with experiments.

Optimization Strategies for Better Results

AI Max requires active optimization to succeed. Unlike traditional Search campaigns where you optimize keywords and bids, AI Max optimization focuses on guiding the AI's exploration through strategic exclusions and signal reinforcement.

First 2 Weeks: Daily Monitoring

Search Terms Review (Daily): Download the search terms report filtered to "AI Max" match type. Look for: competitor brand terms, queries that miss user intent, and high-impression zero-conversion terms. Add negative keywords immediately.

RSA Headline Analysis: Identify headlines generating conversions versus those burning budget.

Landing Page Performance: If using Final URL expansion, check which pages AI is selecting. Add URL exclusions for pages that shouldn't receive paid traffic.

Weeks 3-4: Learning Period Evaluation

Performance Comparison: If running experiments, compare control vs treatment after 2-4 weeks. Segment by match type.

Budget Pacing: Is the campaign spending its full budget? Budget-limited campaigns prevent AI from exploring.

Search Partner Network Audit: If Search Partner Network shows 30%+ lower ROAS, exclude SPN from the campaign.

Ongoing Optimization (Weekly)

Negative Keyword Expansion: AI Max requires more aggressive negative keyword management than traditional Search.

Extract High Performers: Identify search terms from AI Max that consistently convert well, then add them as exact match keywords to your traditional Search campaigns.

Feature Toggle Testing: If performance is mixed, try disabling features one at a time to isolate what works.

When to Pause AI Max

Consider pausing if:

• After 4+ weeks, CPA is 30%+ higher than traditional Search with no improvement trend
• 99%+ of impressions generating zero conversions
• Search terms report shows consistently irrelevant queries
• Budget consumption accelerates without corresponding conversion increases

Remember: 84% of advertisers report neutral or negative results. There's no shame in pausing.

Conclusion: Setting Realistic Expectations

AI Max for Search represents Google's vision of AI-powered advertising's future—campaigns that discover opportunities you'd never find manually, generate contextually relevant ad copy in real-time, and dynamically match users to your best landing pages. When it works, it's genuinely impressive: Royal Canin's 263% conversion surge, ClickUp's 20% lift with higher ROAS, Klook's 161% conversion value increase. These outcomes are real, documented, and achievable.

But they're not typical. The reality gap between Google's 14-27% improvement promises and the community's experience—where 84% report neutral or negative results and one major agency found 99% of impressions with zero conversions—isn't about Google lying. It's about the massive variability in outcomes based on industry vertical, account maturity, budget adequacy, website quality, and implementation approach.

At Digital Applied, we don't tell clients what Google wants us to say—we tell you what actually works based on both official data and independent testing. Our recommendation for AI Max: Test it if you meet the success criteria (exact/phrase-heavy, adequate budget, quality tracking, comprehensive website), but use experiments rather than wholesale adoption. Give it 4+ weeks to learn and optimize, but don't hesitate to pause if it's burning budget without delivering conversions. Achieving 10% improvement is a success that puts you ahead of 84% of advertisers.

The most important insight from six months of AI Max testing: It's a complementary tool, not a replacement for traditional Search campaign management. The advertisers seeing the best results run a portfolio approach—40-50% traditional Search for core terms and stability, 25-30% AI Max for expansion and discovery, 20-25% Performance Max for multichannel reach.

Google's push toward AI-powered advertising is inevitable—AI Max is just one step in that direction. The question isn't whether to adopt AI tools, but how to do so strategically while maintaining human oversight and accountability. Test AI Max with realistic expectations, monitor performance honestly, and scale only what delivers measurable incrementality.

Frequently Asked Questions

What is Google AI Max for Search?

AI Max for Search is an optional suite of AI-powered enhancements for Google Search campaigns, announced at Google Marketing Live in May 2025 and launched globally in Q3 2025. It's not a new campaign type—rather, it's a feature you can enable within new or existing Search campaigns. AI Max consists of three main capabilities: search term matching, text customization, and final URL expansion. Google claims advertisers typically see 14% more conversions at similar CPA/ROAS, with up to 27% lift for campaigns heavily using exact and phrase match keywords. However, independent testing reveals significant variability—a LinkedIn poll found only 16% of advertisers report good performance.

How does AI Max differ from Performance Max?

AI Max enhances Search campaigns specifically while maintaining full transparency and control—you get detailed search terms reporting with source attribution, keyword-level control, and campaign/ad group negative keywords. Performance Max is a standalone multichannel campaign type that runs across all Google inventory with limited transparency and campaign-level negative keywords only. Google explicitly recommends using both together in a 'Power Pack' portfolio approach.

Does AI Max really deliver 14-27% conversion lift?

Google's official data shows 14% average conversion lift (27% for exact/phrase match-heavy campaigns). Featured case studies showcase extraordinary results: Royal Canin saw 263% conversion surge, Klook achieved 161% conversion value increase, L'Oréal doubled their conversion rate. However, independent testing tells a different story. Monks Agency found 99% of impressions with zero conversions across ~30,000 AI Max search terms. A LinkedIn poll revealed only 16% of PPC professionals report good performance, while 84% report neutral or negative results.

What are the minimum requirements for AI Max?

Google's official minimum requirements are: Search campaign type only, Smart Bidding strategy focused on conversions, minimum 30 conversions in the past 30 days, and $50 daily budget minimum. However, recommended requirements for success: 100+ monthly conversions, $750 daily budget (15x your target CPA), Enhanced Conversions and Data-Driven Attribution active, and comprehensive negative keyword lists in place before enabling.

Can I use negative keywords in AI Max campaigns?

Yes, and this is one of AI Max's most significant advantages over Performance Max. AI Max fully supports negative keywords at both campaign and ad group levels. This matters enormously for keywordless matching—while AI Max expands beyond your explicit keywords, you can proactively block irrelevant terms, competitor brands, and low-intent queries.

Is AI Max good for B2B campaigns?

AI Max can work well for B2B campaigns, often performing better than Performance Max for B2B lead generation. ClickUp's case study demonstrated 20% incremental conversion lift with 16% higher ROAS specifically because AI Max captured complex business software searches. However, challenges exist without proper offline conversion tracking. For B2B success: implement offline conversion imports, use Enhanced Conversions to track lead quality, avoid enabling on brand defense campaigns, and monitor lead quality closely.

What budget should I allocate to AI Max?

Google's official minimum is $50 daily budget, but the recommended budget is 15 times your target CPA as daily budget—meaning if your target cost-per-acquisition is $50, you should budget $750 per day. One home services company saw 8 conversions weekly at $100/day but 47 conversions weekly at $750/day at the same CPA—6X more volume with maintained efficiency.

How long is the AI Max learning period?

AI Max typically requires 2-4 weeks for the learning period, during which performance may fluctuate significantly. Minimum 4 weeks total (2-4 weeks learning plus 2+ weeks evaluation) before making decisions. If after 4-6 weeks AI Max still shows 30%+ higher CPA than traditional Search with no improvement trend, it's reasonable to pause.

What is Smart Bidding Exploration?

Smart Bidding Exploration is Google's biggest bidding update in over a decade, announced alongside AI Max. It expands Smart Bidding to explore high-potential search queries previously overlooked. Google claims it delivers 18% increase in unique search query categories with conversions and 19% more conversions on average. Requires Target ROAS bidding strategy with 10-30% ROAS flexibility.

Why does Google exclude retail from the 14% benchmark?

Google's decision to exclude retail advertisers from the 14% conversion lift benchmark implies that retail/ecommerce advertisers either don't see the 14% lift or performance is so variable that including retail would significantly lower the reported average. Yet paradoxically, Google's most impressive case studies feature ecommerce brands—Royal Canin (263% surge), L'Oréal (2X conversion rate). This suggests retail CAN succeed spectacularly with AI Max, but success isn't consistent enough to include in the general benchmark.