Dealer AI Shopping Experience Audit
When shoppers use AI to find their next car, does your dealership make the shortlist?
We test real vehicle-shopping scenarios across AI search and your dealership website, compare the experience with local competitors, and identify where missing information or broken handoffs create friction. You receive documented findings and a prioritized fix plan your team and vendors can act on.
How shoppers buy now
Your next buyer may ask an AI assistant before they ever see your site.
Shoppers increasingly use ChatGPT and other AI assistants to compare vehicles, ownership costs, dealerships, policies, and offers. The assistant reads what it can reach, summarizes it, and suggests where to go next.
If your inventory, pricing, and policies aren't clear to that assistant, the answer the shopper gets may leave you out, or describe you wrong.
Why dealers disappear
The causes are usually practical, and fixable.
Thin VDP data
Vehicle pages missing trim, options, mileage, or real descriptions give an assistant little to work with.
Inconsistent pricing
Prices that differ between the VDP, the feed, and third-party listings, or hide their conditions, are hard to explain.
Blocked crawlers
robots.txt rules, bot protection, or JavaScript-only pages can stop search and AI fetchers from reading content at all.
Unclear policies
Fees, trade-ins, delivery, returns, and warranties that aren't written down plainly can't be answered accurately.
Weak entity signals
Inconsistent name, address, and phone details across the web make it harder to tie facts to your store.
Incomplete structured data
Missing or invalid Vehicle, Offer, and AutoDealer markup leaves page relationships ambiguous.
What the audit checks
We follow the shopper. Then investigate what breaks.
Can a shopper find a suitable vehicle, understand its price and fees, compare alternatives, and reach your dealership? We trace observed failures to the website, inventory data, disclosures, or sales handoff. The supporting score organizes findings; it is not a prediction of sales or AI rankings.
Crawl and access
robots.txt, sitemap, status codes, canonical URLs, important content in the initial HTML, and access for search and user-triggered AI fetchers.
Inventory and VDP data
VIN, price, mileage, trim, availability, photos, descriptions, options, incentives, freshness, and consistent inventory feeds.
Pricing and offer clarity
Price conditions, fees, incentives, financing assumptions, trade-in language, expiration dates, and disclosure visibility.
Structured data and entities
Vehicle, Product, Offer, AutoDealer or LocalBusiness markup, dealership identity, NAP consistency, and valid page relationships.
Answerable dealership content
Service, finance, returns, delivery, warranties, trade-ins, appointment policies, and direct answers to buyer questions.
Local authority and reputation
Google Business Profile, review patterns, third-party references, staff and location details, and consistent brand facts.
AI answer testing
A buyer-intent prompt set checked for accuracy, source attribution, omissions, contradictions, competitor comparisons, and dated evidence.
Conversion and measurement
Clear next actions, working forms and phone links, GA4 events, source attribution, and referral tracking.
What you receive
Not another checklist. A diagnosis your team can act on.
- Shopping journey findings showing where discovery, vehicle comparison, price clarity, and the path to contacting your store work or break.
- Local competitor comparison using the same agreed shopping scenarios, with specific observed advantages and gaps.
- Root-cause diagnosis separating observed failures, likely causes, and issues that require vendor or account access to confirm.
- Evidence appendix with the tested URLs, prompts, dates, and observed AI responses.
- Prioritized remediation list, ranked critical, high, medium, and low.
- Implementation-ready fix plan with priorities, suggested owners, and acceptance criteria for your website provider, inventory vendor, and BDC.
- Findings review and measurement recommendations to connect improvements to your analytics and CRM where access is available. Tests alone do not establish lost sales.
How it works
From shopping test to vendor-ready fixes.
Request
Tell us your store, website, and concern. We confirm scenarios, competitors, platforms, access, price, and timing before work starts.
Evidence collection
We review your site, inventory pages, feeds, listings, and local profiles.
Testing
We run the agreed shopping scenarios across AI assistants and your website, using the same scenarios for selected local competitors.
Findings review
We walk you through dated evidence, competitive gaps, observed friction, and the cause of each finding.
Implementation planning
Your team and vendors receive a prioritized fix plan. Implementation assistance and post-change retesting are available under a separately agreed scope.
Who it's for
Built for the people accountable for the website.
- Dealer principals and general managers who want to know how their store shows up when shoppers ask AI.
- Marketing leaders deciding where website and data work should go next.
- Dealer groups comparing readiness across rooftops.
- Agencies and website providers responsible for site performance who want an independent read.
Why work with us?
You can run prompts yourself. The value is in the diagnosis.
A few AI answers are a snapshot. Our service combines consistent shopping scenarios, local comparisons, technical investigation, and human review into a fix plan with clear ownership. We can help coordinate implementation and repeat the tests after changes when those services are included in your agreed scope.
Scope matters. The audit includes testing, documented findings, competitive context, and a fix plan. Website changes, vendor coordination, and post-change validation are not automatically included. We confirm all deliverables before work begins.
Methodology
What we test, and what we don't claim.
Every finding is tied to evidence: the prompts we used, the sources the assistant cited, the URLs we tested, and the date of testing. The report separates what we observed from what we recommend, so you can see which is which.
Limitations. AI answers vary by platform, location, session, and date. The audit reports observable gaps and recommended fixes. It does not guarantee rankings, citations, traffic, or sales.
No single file or markup type, including llms.txt, FAQPage markup, or any one schema type, causes AI recommendations. We treat them as part of making your information clear, not as a switch.
Request the audit
Find the friction. Know what to fix next.
Share your dealership, website, and main concern. We will follow up to confirm the test scope, pricing, and timing. This is a service request—not an instant report or a booked appointment.
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