"We innovate by starting with the customer and working backwards. That becomes the touchstone for how we invent."
—Jeff Bezos, Founder of Amazon
The AI Breakdown
Virtual Influencers Meet Real Retail
AI personas are swiftly moving from fringe experiment to legitimate media category.
The virtual influencer market is projected to grow from $11.22B in 2025 to $15.9B by the end of 2026.
That growth is being driven by the same pressure dealers feel every week: more content, faster testing, lower production costs, and tighter control over the message
Research and Markets
The AI app, Maket, has recently been testing the virtual influencer below.
The presentation feels casual and approachable. The hook feels personal. It reads like a recommendation. The viewer feels like they found a life hack, not an ad.
Maket says, “AI-generated influencers have been one of several ways for us to test creative concepts and marketing hooks at a small scale before investing in broader campaigns. This is not a core part of our marketing strategy, but rather an experiment to better understand what resonates with audiences across channels, including influencer, social media and email campaigns.”
The Guardian
That is why synthetic UGC is so tempting. It gives brands the texture of customer content without the scheduling, reshoots, creator fees, or off-message risk.
In advertiser research, 64% cited cost efficiency as a main benefit of AI-created ads, up from 45% in 2024. Social is the biggest use case, with 85% of advertisers using AI for social media ads.
For dealers, the sweet spot is practical and disclosed: use AI characters to teach, guide, demonstrate, and localize messages. Keep real proof anchored to real buyers, real service visits, real reviews, and real permission.
IAB
For dealers, the sweet spot is practical and disclosed, especially as regulators tighten compliance requirements.
New York's synthetic performer law took effect in this month, requiring clear disclosure when ads use AI-generated people, with penalties of $1,000 for a first violation and $5,000 for later ones.
Dealer Playbook
Disclose virtually-fabricated media and never fake proof.
Label AI-generated people, voices, dramatized stories, and AI-assisted testimonials. Use AI for scripts, captions, edits, versions, and summaries. Do not use it to create fabricated experiences intended to mislead your audience.Keep customer evidence human.
Reviews, delivery photos, service stories, and testimonials should come from real people, real vehicles, real visits, and clear permission.Review trust-sensitive claims.
Pricing, financing, trade values, incentives, availability, safety, reviews, and customer identity always need human approval.Use the label test.
If the ad only works when people think the person is real, skip it.
YouGov
Prompt of the Week
Prompt engineering got everyone chasing better first drafts. Looping aims higher.
A loop builds the judgment into the process. It asks AI to draft, inspect, score, revise, and repeat until the work meets a clear standard.
For dealership teams, that is the difference between a decent starting point and something a salesperson, advisor, manager, or marketer can actually use.
Use it for follow-up texts, service reminders, inventory descriptions, review responses, manager briefs, social posts, email campaigns, or any task where the first answer usually needs another pass.
You will work in a loop until the task meets the bar.
TASK:
[Describe exactly what you want produced.]
SUCCESS CRITERIA:
Be strict. No soft passes.
- [Criterion 1]
- [Criterion 2]
- [Criterion 3]
LOOP PROTOCOL:
Repeat every turn.
1. PLAN
State the single next step.
2. DO
Produce or improve the work.
3. VERIFY
Score the result 1-10 on each success criterion.
Be honest. List exactly what is still weak.
4. DECIDE
If every criterion is 8 or higher, print "FINAL" and stop.
If any criterion is below 8, print "ITERATING" and go again.
Fix the weakest point first.
RULES:
- Never call it done until every criterion is 8 or higher.
- Each pass must fix the weakest score from the last VERIFY.
- Do not ask me questions. Make a sensible assumption, note it, and keep going.
Begin. Run the loop until FINAL.
Fresh Finds for Auto Pros
Management & Operations: Owini
An AI-powered CRM that responds to leads quickly, manages conversations across channels, and helps teams keep pipeline tasks from slipping. Useful for stores trying to tighten speed-to-lead, reduce missed messages, and automate repetitive follow-up.
Marketing & Advertising: Simfa
Creative tools for quick image generation, edits, style swaps, color grading, and campaign visuals without needing a full design team.
Content Creation: Happy Oyster
A real-time world-creation tool that lets users generate and steer interactive scenes with text, voice, or images. Useful for experimenting with immersive vehicle walk-arounds, training scenarios, or quick prototypes.
Hear from the Experts
Dealership AI works best when it owns specific work like inbound calls, service booking, lead response, recall outreach, and customer follow-up.
The biggest takeaway from this session at the AutoIndustry.ai Summit was practical. Give agents clear roles, approved workflows, escalation rules, and clean data access.
Bits and Bytes
A group of California drivers have filed a class-action lawsuit against several gas stations for allegedly using AI-driven tech to inflate prices. ⛽️
Claude users may start seeing ID verification prompts as Anthropic tightens platform integrity. 🪪
Google DeepMind is partnering with A24 filmmakers to help shape the next wave of AI tools. 🍿
Parting Pixels
Thanks for reading, Friend! The feed may be mysterious, but the work is still worth doing.
