AAA Auto Club Enterprises
AI-driven search campaign that customizes ad text and reaches long queries beyond the purchased keywords
With AI Max, the Google Ads Search campaign option that customizes ad text and reaches queries beyond the purchased keywords, AAA Auto Club Enterprises got 17% more conversion volume and 11% lower cost per lead, figures announced by Alphabet during its second quarter 2026 earnings call on July 22, 2026.
Key points
- AAA Auto Club Enterprises turned on AI Max for its Google Ads insurance Search campaigns.
- The system customizes creative and reaches insurance searches that keep getting more detailed.
- Google reports 17% more conversion volume and 11% lower cost per lead.
- Figures published by Alphabet, an interested party: no AAA or third-party source confirms them.
Objective
Reach American drivers and households at the moment they search for insurance on Google, including on long and very specific queries the club had not bought as keywords, and bring down the cost of an insurance lead in a market where the search auction is among the most expensive.
The deployment
AAA Auto Club Enterprises is the largest federation of AAA clubs in the United States. Its careers site states that it serves more than 18 million members across 24 states, and auto and home insurance is one of its main revenue lines. On Google Ads, the club turned on AI Max for its Search campaigns. AI Max is a campaign option Google took out of beta in 2026: instead of staying within the purchased keywords, the system reads the advertiser's ads and site content to reach queries no keyword covered, rewrites the ad text based on the search entered, and picks the landing page closest to the request itself. What this changes for the user: someone typing a very specific search, for example a driver profile or a particular insurance situation, sees an AAA ad whose headline has been rewritten to match that search, and lands on the matching quote page rather than on a generic one. Philipp Schindler, chief business officer of Alphabet, cited this case when the second quarter 2026 results were published, stating that AAA Auto Club Enterprises was using it to customize its creative assets and capture the growth of increasingly detailed insurance searches. The exact scope of the rollout, number of campaigns, states covered, product lines, has not been published.
Results Proof B
Both figures come from one and the same sentence, spoken by Philipp Schindler, chief business officer of Alphabet, during the second quarter 2026 earnings call on July 22, 2026. The sentence appears word for word in the official transcript published by Alphabet (S1) and in the full transcripts published by AlphaStreet (S2) and Investing.com (S3); the quote is anchored on S2, whose text is machine readable, where the official PDF exposes no extractable text layer. None of these three sources is independent: it is the same statement, and Alphabet is an interested party here, the seller of AI Max praising its product through a named advertiser. Searches on the Google Ads and Think with Google side turned up no AI Max case study citing AAA (the Think with Google page on AI Max cites ClickUp, Royal Canin and Klook, not AAA), and no established marketing press picks up or verifies the case. So there is no confirmation on the AAA side: no press release, no public appearance, no company figure isolating this effect. Not an A, for lack of financial reporting by the subject brand on its own result, and the B should be read with that reservation: a single voice, the platform's.
How it works
Inferred typical approachThe internal detail is not public. Here is a proven approach that leads to the same result, to adapt to your stack.
The stack in detail
- plateforme AI Max for Search campaigns A Google Ads campaign option out of beta in 2026. Google describes it as combining the elements provided by the advertiser, ads and site content, with richer signals, and it bundles three parts: search term matching, text customization and final URL expansion.
- plateforme Google Ads The advertiser account, conversion tracking and budget the AI Max campaign relies on.
How it runs, concretely
For ops teams-
1Prepare the material marketing
Provide the ads, landing pages and site content the system relies on to understand the offer. One quote page per insurance situation beats a generic page.
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2Turn on AI Max on an existing Search campaign acquisition team
The option is added to a campaign already in place; query matching is no longer limited to the purchased keywords.
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3Matching and rewriting at auction time AI
The system connects the search entered to the offer, adapts the ad text and selects the landing page.
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4Control what gets served acquisition team and compliance
Review the search terms captured and the text variants generated, exclude what falls outside the scope or touches regulated wording.
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5Arbitrate on cost per lead acquisition team and data
Track conversion volume and cost per lead, feed lead quality back from the CRM so that optimization aims at the policy and not at the form.
The conversions reported to Google Ads, here insurance leads (quote request, form, call). The system optimizes on this signal and on cost per lead. If the lead is reported without any quality attached, the campaign learns to produce form volume rather than policies; if tracking breaks or falls under consent, broad matching becomes blind spend.
How your customers perceive this type of use
Sourced studiesLe pricing algorithmique est le terrain le plus inflammable : 68% des consommateurs disent se sentir leses quand les marques utilisent le pricing dynamique et 80% jugent plus dignes de confiance les marques aux prix constants (Gartner, 2024). L'equite percue varie selon le secteur : le pricing dynamique n'est juge juste que par 33% a 40% des repondants selon qu'il s'agit de concerts ou de cinemas (YouGov, 17 marches). Le prix personnalise par les donnees individuelles est le plus rejete : 47% des Americains s'y opposent fermement (Consumer Reports, 2024).
Acceptance conditions
- La constance des prix comme signal de confiance : 80% jugent plus fiables les marques aux prix stables (Gartner 2024)
- Le secteur conditionne l'equite percue : le pricing dynamique est mieux tolere pour les cinemas (40% le jugent juste) que pour les concerts (33%) (YouGov 2024)
Red lines
- Le pricing dynamique percu comme abus : 68% se sentent leses (Gartner 2024)
- Le prix individualise a partir des donnees personnelles : 47% d'opposition ferme (Consumer Reports 2024)
- Les frais caches et hausses imprevues, vecus par 79% des consommateurs sur un an et associes a la perte de confiance (Gartner 2024)
Sources: Gartner 2024 · YouGov 2024 · Consumer Reports 2024
How to replicate
Inference, not sourcedData prerequisites
- Reliable conversion tracking on the insurance lead (quote, form, call), compliant with consent
- A lead quality feed from the CRM, otherwise optimization aims at the form and not at the policy
- Landing pages per insurance situation, so that automatic page selection has something to choose from
- A body of ads and site content explicit enough about the offer
Org prerequisites
- A Google Ads account with Search campaigns already in place and a conversion history
- A compliance validation route for generated ad texts, mandatory in insurance
- A routine for reading the search terms captured and updating exclusions
Possible stack
- Google Ads with AI Max turned on for the Search campaigns
- The Microsoft Advertising equivalent on automated campaign formats
- Measurement layer: offline conversion import from the CRM to requalify leads
The plan, step by step
- Step 1Make conversion tracking on the insurance lead reliable and connect the offline conversion import from the CRM.Deliverable: A conversion signal that tells a completed form apart from a policy.
- Step 2Map the existing quote pages by insurance situation and fill the gaps.Deliverable: A set of landing pages granular enough for automatic selection.
- Step 3Turn on AI Max for a representative Search campaign, keeping a control campaign on the previous setup.Deliverable: A readable comparison on conversion volume and cost per lead.
- Step 4Put in place the review of captured search terms and generated text variants, together with compliance.Deliverable: An exclusion list and a written frame for what the machine may rephrase.
- Step 5Extend to the other campaigns once cost per lead holds, keeping the CRM quality reading as the arbiter.Deliverable: A gradual rollout backed by lead quality, not by volume alone.
First step: Check that the lead is reported to Google Ads with its real quality, by importing from the CRM the leads that end in a policy, before opening matching beyond the purchased keywords.
Sources
- S1 Alphabet Q2 2026 Earnings Call Transcript (transcription officielle publiee par Alphabet) Interested party archive pending
- S2 Alphabet Inc. (GOOGL) Q2 2026 Earnings Call Transcript - AlphaStreet Secondary archive pending
- S3 Earnings call transcript: Alphabet beats Q2 2026 estimates, shares fall on capex surge Secondary archive pending
- S4 AAA Auto Club Enterprises Careers (site officiel : plus de 18 millions de membres dans 24 Etats) Primary archive pending
- S5 Google's Dynamic Search Ads are upgrading to AI Max Interested party archive pending
An error, newer info, a source?
This page lives on its accuracy. If a figure has moved, if the deployment has changed, or if you have a higher-quality source, tell us. Every sourced correction is verified before publication.