The AI Visibility Audit • Specialty 2 of 13
When a shopper asks ChatGPT, Gemini, or Perplexity 'what's the best dealer near me,' your store is either named, mis-named, or invisible.
AI search is now a measurable share of high-intent automotive queries. We test how the major models describe your store across 30+ shopper-style prompts and tell you where you stand.
Why this matters now, not in two years
AI search referrals to dealer sites are growing fast. The dealers showing up in those answers are compounding an advantage that is expensive to claw back later.
Generative engines pull from a different set of signals than classic Google: schema, citations, review velocity, content depth, and structured data on every key page. Most dealer sites were built before any of this mattered.
Some dealers already get cited by ChatGPT and Perplexity on shopper queries. Others are completely absent. Some are mentioned with the wrong hours, wrong phone, or competitor names attached. The gap is fixable, but only after it is measured.
What nobody has told you
"Your SEO vendor probably has not raised this because traditional SEO reports do not include LLM citation tracking. The tools that measure it are new."
"Your OEM has not raised this because OEM compliance frameworks were written before generative search existed."
"When AI engines hallucinate facts about your store, wrong inventory, wrong service hours, wrong phone, the shopper does not blame the AI. They blame you."
"You may already be cited well. You may be invisible. Both are common. The only way to know is to test."
The five failures we find on almost every dealer site
On most dealer sites in this area, you almost certainly have at least three of these.
Missing or invalid AutoDealer schema
AutoDealer schema is the single strongest signal generative engines use to identify dealer entities. Many dealer sites either lack it or ship a malformed version that validators reject.
How we fix it: Generate validated AutoDealer schema with full NAP, hours, departments, and OEM brands; deploy site-wide; re-validate.
Vehicle schema missing on VDPs
Vehicle schema on VDPs feeds AI engines structured inventory data. When it is absent or partial, AI either cannot recommend your inventory or describes it with errors.
How we fix it: Vehicle schema with VIN, price, mileage, photos, condition, and offers on every VDP.
Thin or boilerplate model pages
Model pages that are generic OEM boilerplate get treated by AI engines as duplicate content and are rarely cited. Original local content is what gets quoted.
How we fix it: Local-flavor model content: financing options, trim availability, comparison vs nearby competitors.
Inconsistent NAP across the web
Name, address, phone variations across GBP, social, OEM directories, and aggregators dilute the entity signal AI engines use to verify your store.
How we fix it: NAP audit and unification across primary citation sources.
No FAQ schema on key pages
FAQ blocks with valid schema are disproportionately cited by AI engines because they map cleanly to question-style prompts.
How we fix it: Add FAQ schema to high-intent pages: financing, service, trade-in, model pages.
Inside the full AI Visibility Audit
Thirty shopper prompts, four AI engines, your store's actual citation profile.
Citation testing
- • 30+ shopper-style prompts run across ChatGPT, Gemini, Perplexity, Claude
- • Citation rate, position, accuracy
- • Competitor co-citation analysis
Entity signals
- • AutoDealer schema validation
- • Vehicle schema coverage
- • NAP consistency across major directories
- • Knowledge Graph entity match
Content depth
- • Model page originality
- • FAQ coverage on high-intent pages
- • Comparison content presence
- • Local relevance signals
Hallucination risk
- • Wrong-hours risk
- • Wrong-phone risk
- • Wrong-inventory risk
- • Competitor confusion risk
SAMPLE AUDIT OUTPUT
Poor. Easy wins available
- Citation rate (30 prompts) 7 / 30
- AutoDealer schema Invalid
- Vehicle schema on VDPs Missing
- Hallucination flags 3 found
Cited by AI on shopper queries
23% of prompts
Top fix: Deploy validated AutoDealer schema. Estimated lift: +12 score points.
Illustrative sample. Not your site.
What happens when you fix it
Fixing this is not a website redesign. It is a series of specific, surgical changes.
01
DIAGNOSIS
We give you the report
48 hours. Every finding, ranked by impact and effort, with platform-specific instructions for your CMS. You can hand it to your web vendor and they can implement most of it.
02
IMPLEMENTATION (OPTIONAL)
We do the work
If your vendor cannot or will not, we install the fixes ourselves. Most live in Google Tag Manager, the head of the page, or as a CDN-level configuration. Live in 7 to 14 days.
03
VERIFICATION
We re-run the scan
30 days after the fixes go live, we re-run the audit and confirm the lift. Site Health Score increase, category-level pass, downstream impact verified.
What the data says.
Growing fast
AI search share of high-intent automotive queries is expanding quarter over quarter. The dealers cited today are compounding the advantage.
Schema first
AutoDealer and Vehicle schema are the two strongest signals we have measured for AI citation rate.
Local wins
Original local content outperforms OEM boilerplate by a wide margin in citation tests.
The Proof
How a Honda dealer went from 2/30 to 19/30 cited prompts in 90 days.
A Honda dealership in central Texas was cited on 2 of 30 shopper prompts across ChatGPT, Gemini, and Perplexity. Their AutoDealer schema was malformed; their VDPs had no Vehicle schema; their model pages were OEM boilerplate.
We deployed validated AutoDealer schema, Vehicle schema on every VDP, FAQ schema on financing and trade-in pages, and rewrote five model pages with local content.
90 days later: 19 of 30 prompts cited the store. AI-attributed traffic in GA4 quadrupled off a small base. Two competitors lost top-of-answer position to them on model-specific queries.
2 → 19
Cited prompts (of 30)
4x
AI-attributed traffic
5 pages
Model pages rewritten
90 days
Time to measurable lift
Pricing
Three options. No retainer. No negotiation.
Pay once for the diagnosis. Pay once for the fixes. Or pay once and get both.
$997
Full Diagnostic
- •Comprehensive site audit across all 14 specialty areas
- •Search Console authenticated review
- •Platform-specific fix instructions
- •Priority-ranked master fix list
- •Estimated impact and effort per fix
- •Refundable if we do not find 3 surprises
- •48-hour delivery
$6,497
Fix Sprint
- •Bring your own audit report
- •We implement your top 5 priority fixes
- •Schema, speed, and structural fixes
- •Live within 30 days
- •No code changes required from your vendor
$6,997
Full Treatment
- •Full Diagnostic included ($997 value)
- •We implement every fix on the priority list, not just 5
- •Schema, speed, and structural fixes
- •Live within 7 to 14 days
- •90 days of regression monitoring after launch
- •We handle your web vendor directly
$500 more than the Fix Sprint. Includes the $997 diagnostic and the complete fix list.
AI Visibility Audit-specific questions dealers ask.
Answered straight.
How do you actually measure AI citations?
We run a fixed set of shopper-style prompts against ChatGPT, Gemini, Perplexity, and Claude through their APIs and surface whether your store is named, with what attributes, and against which competitors.
Will this affect my Google ranking?
Most of the fixes (schema, NAP, content depth) also improve traditional SEO. They are not in conflict.
Do I need to publish an AI policy?
No. The fixes are technical and content-based, not policy-based.
What if AI says something wrong about my store?
We flag every hallucination found and provide a remediation path: schema, GBP, knowledge panel correction requests where applicable.
How fast does AI pick up changes?
Schema and content updates typically reflect in AI engines within 2–8 weeks, depending on the engine and your crawl priority.
What platforms do you support?
All major dealer platforms. Schema is injected via tag manager or platform module depending on what your CMS allows.
Is this a one-time fix or ongoing?
The initial diagnostic is one-time. Ongoing monitoring is optional and typically quarterly.
While we are at it
AI Visibility Audit is rarely the only thing wrong. Three areas dealers usually pair with this one.
The Schema Audit
AutoDealer, Vehicle, LocalBusiness, FAQ. Missing or malformed schema costs you AI search and rich-result eligibility.
Read the detailsThe Content Audit
Model pages, comparison content, financing explainers, FAQ depth. The pages AI cites and shoppers actually read.
Read the detailsThe Local SEO Audit
Google Business Profile, NAP consistency, local pack ranking, service-area coverage. Where the in-market shopper actually starts.
Read the detailsFind out how AI describes your store today.
30-second scan. We test the major AI engines against shopper prompts and report citations, omissions, and errors.