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Stop Chasing Ghosts: Why AI "Audits" Are a Waste of Dealer Resources

I know, Right!
Hah! I see you bro. What I was referring to is AI "visibility" audits that try to "rank" AI citations and "indexing" which are all nonsense because LLMs don't index. You're right in the sense that AI can do a decent job analyzing a site thats not actively trying to block bots from analyzing structure and content, which unfortunately many of the website usual suspects are.

On the flip side what we see across thousands of content pieces by several hundred marketing teams building on our platform is that all the acronym soup flying around right now can be solved for my just building high quality helpful content that answers customers questions and meets them at the moment of intent with authority and trust. GEO, GSEO, AIO, AISEO, and LMNPEO... are just good SEO.

Appreciate the callout. Can an LLM understand good vs bad content and structure. yeah for sure. can some AI audit tell you exactly how visible you are in LLM answers? Even SEMRush, SERanking and Ahrefs will admit that still a moving target... and theyre burning mountains of cash to try and catch that cat.

*And BTW our site needs a ton more work and your audit is spot on. We just relaunched Feb 2nd. Grateful for the pespective.

Love to share the project sometime and compare notes. HMU anytime.
 
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I'm speaking specifically to a dealer just popping their domain into ChatGPT/Claude/Gemini/Grok... and expecting any accuracy or level of detail.

@douglaskarr I understand what you were saying. What I'm suggesting is to get ahead of that confusion? Go into any of the AI platforms and have it to create a proper website audit prompt guide that you can provide your dealers? Have the prompt to ask the dealers questions so that they can give feedback into the prompt for the audit. The attached website audit prompt guide was created by Claude in about 2 mins.
 

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Real Talk: Why "ChatGPT Audits" are Trash (and What We Actually Built) ( and yes AI helped me write some of this)​


I'm reading this article and it could not be timelier. The overall thought expressed is correct, but I have to push back on one thing. The idea that deep, automotive-specific data analysis is "years away" or "impossible" right now? That's just not true. We have already built it. It's called SEO Signal, and we decided to make it free for dealers.


I'm not here to give you a sales pitch. I want to tell you exactly what this actually is—and just as importantly, what it isn't.




The Reality Check: What SEO Signal Actually Does​


SEO Signal isn't some "AI chatbot" guessing at your site. It's an inspection engine. We pull the same professional-grade data that agencies pay thousands a month to access, but we run it through a framework that actually understands how a dealership website works. We put it through the top SEO certification programs and fed it several years of automotive-specific SEO articles and research from communities just like this one.


Every report scores eight areas on a transparent 0–100 scale—Technical SEO, On-Page Optimization, Local SEO, Content Strategy, Reviews & Reputation, AI Search Visibility, Page Speed, and Backlinks—with the math shown. A dealer or their vendor can verify every single finding independently. No black boxes.


The article listed specific reasons AI audits fail. Here's how SEO Signal answers every one of them:


"Not Industry-Specific" — This doesn't treat your store like a local bakery or a dentist's office. It understands SRP-to-VDP relationships, OEM compliance, ASC conversion events, city landing page structure, and how platforms like Dealer Inspire, DealerOn, and Jazel actually behave. It was built for this industry from day one.


"Static Snapshots / JavaScript Blindness" — We use crawl infrastructure that renders JavaScript, the same way Google does. If Google can see your dynamic inventory and filters, we see them. If it can't, we flag exactly why. No more AI hallucinating that your inventory page is "missing" when it's sitting right there.


"No Site-Wide Crawl" — Every report maps the structural relationships across your entire site. Internal linking gaps, orphaned pages, the path from your SRP to your VDPs, city page coverage holes—this isn't page-by-page guessing. It's a full picture.


"Performance Blind Spot" — Core Web Vitals (LCP, FID, CLS) are scored directly in the report using the same data Google uses for ranking signals. If your site is slow, you'll know exactly where and why.


"Zero Analytics Access" — We're building Google Search Console integration right now. When that's live, dealers get verified click data, CTR trends, and impression analysis layered directly into the report alongside the external inspection data. The full picture—outside looking in AND inside looking out.


"Zero Historical Data" — This is where running SEO Signal on a recurring schedule changes the game entirely. Report one is your baseline. Every report after that shows what changed, what improved, what your vendor actually fixed, and what new gaps appeared. Over six months, that timeline becomes the most powerful accountability tool a dealer has ever had.


And one thing the article didn't even mention: AI Search Visibility. We score whether your dealership is showing up in ChatGPT, Perplexity, Google AI Overviews, and other AI answer engines. That's not a "nice to have" anymore—it's where an increasing number of car buyers are starting their research, and almost nobody in automotive is tracking it yet.




What It DOESN'T Do (The Honest Boundaries)​


To be clear: this isn't a magic wand.


It doesn't fix the pipes. Like a home inspector, we find the leak, but we aren't the plumbers. Every finding comes with clear ownership—here's what your platform provider should handle, here's what your SEO vendor should fix, here's what you can address directly. We show you what's wrong; they still have to do the work.


It's not an "AI Agency." It doesn't replace a smart SEO partner. It just makes sure the partner you're paying is actually moving the needle. If your vendor is killing it, the report will prove it. We're not looking for fights; we're looking for the truth.


No "Gotcha" games. The data is clinical. Facts, not accusations. The reports let the numbers speak for themselves and dealers draw their own conclusions.




Built to Stand Up to Scrutiny​


Here's something we added that I think says a lot about how we approach this: SEO Signal includes an Expert Response feature. When a dealer takes their report to their vendor—and they should—and the vendor pushes back, the system doesn't just roll over or dig in blindly. It evaluates the pushback.


If the expert is right, it accepts the correction. Flat out. "That's a valid point, here's why that finding doesn't apply in this case." No ego, no doubling down on bad data.


But if the pushback is the kind of deflection we've all seen—"oh, that metric doesn't matter," "Google doesn't really care about that," "your traffic is fine, don't worry about rankings"—it holds the line with data. It knows the difference between a legitimate technical counterpoint and a vendor trying to wave away accountability.


I'm not an SEO expert. I've never claimed to be. But I built this system by studying the experts, feeding it years of industry-specific knowledge, and pressure-testing it against real vendor objections. The goal was simple: a dealer should never feel outgunned in a conversation about their own website. The report should be able to stand in the room with any SEO professional and hold its own.




Why Weekly Monitoring Changes Everything​


A one-time audit is a snapshot. Running this weekly is where the real power shows up:


Vendor accountability becomes automatic. We flag an issue in Week 1, your vendor says they'll handle it, and Week 4's report shows whether they actually did. No more taking anyone's word for it.


You catch regressions before they cost you. A platform update breaks your schema. A page gets accidentally deindexed. Title tags get overwritten in a CMS update. Weekly monitoring catches these in days, not three months later when you're wondering why traffic dropped.


Competitive movement is visible in real time. If a competitor in your market publishes new content, builds new backlinks, or gains visibility—you know about it before it starts pulling shoppers away from your lot.


You build a paper trail that changes the conversation. After a few months of documented findings, recommendations, and outcomes, the dynamic between a dealer and their vendor shifts permanently. You're not asking "are you doing your job?" anymore. You're showing them the data and saying "let's talk about this."




The Content Problem: Why Our Free Blogs Are Different​


Most "SEO content" for dealers is garbage—cookie-cutter posts about "Spring Car Care" that could be about a shop in Maine or Malibu. That content doesn't rank because Google has gotten smart enough to know the difference.


Our system finds actual local search gaps and builds content backward from real demand. If people in Fairfax are searching for the CX-90 but no local dealer is talking about I-66 commutes, Virginia-specific tax incentives, or cargo space for Costco runs off Braddock Road—that's what we generate. Every article references your specific highways, neighborhoods, weather conditions, and state programs.


A national website can never write that content. A generic AI blog generator won't either. Hyper-local is the only content that consistently wins in local search now, and we include it because dealers shouldn't have to pay $500 a post for something their data already told us to write.




The Bottom Line​


I get the skepticism. Generic AI has given "automated audits" a bad name, and rightfully so. But the solution isn't to fly blind or just "trust the process" for another five years while writing checks you can't verify.


The data is out there. We just finally put it into a format that dealers can use without needing to become SEO experts themselves. It's free because you shouldn't have to pay a gatekeeper just to find out if your own website is working.


If you want to see your store's actual signal, reach out. The data doesn't lie.


— Don | Contactter | contactter.com
 
Here is a summary of the edits to help your writing feel more human:


• Ditch the dashes: Use periods instead of em dashes to create natural pauses and stop sentences from feeling too long or mechanical.


• Break the pattern: Avoid using the same problem-solution format for every point to keep the reader interested.

• Write like a person: Use everyday language instead of formal corporate terms to build trust and show personality.


• Keep it punchy: Use shorter sentences to control the flow and make your main points stand out clearly.
 
AI slop is so easy to spot. Audit your post before you post to dial in your prompt voice.

# Role: Expert Linguistic Auditor & Prompt Engineering Consultant

## Purpose
Analyze a provided text sample to determine its origination (Human, AI, or Hybrid) and evaluate the sophistication of the prompt-writer who likely shaped it.

## Guidelines
- Operate as a probabilistic analyst, not a deterministic tool.
- Be concise. Avoid fluff.
- If you aren't sure, state your confidence level rather than forcing a guess.

## Step 1: Linguistic Analysis
Perform a deep read of the text. Identify signals of AI versus Human writing:
- AI Signals: Structural symmetry, over-reframing, lack of "rhythmic burstiness," over-hedging.
- Human Signals: Idiosyncratic phrasing, specific/niche "lived-in" details, erratic sentence length, context-aware tone.

## Step 2: Evaluation
1. **Origination Assessment:** Assign a label (AI/Human/Hybrid) and an AI-Likelihood percentage (0-100%).
2. **Evidence Table:** Create a table listing the top 3-5 strongest pieces of evidence (quote + justification).
3. **Prompt Writer Profile:** Evaluate the "prompting maturity" of the creator (Novice to Expert). Focus on their control over constraints, domain grounding, and anti-hallucination techniques.

## Step 3: Actionable Advice
Provide exactly 3 specific, high-impact edits that would shift the text’s "signature" to feel more human and persuasive while maintaining the intended goal.

## Output Format
- Use a clear, Markdown-based report.
- Start with a Summary block (Label, Likelihood, Confidence).
- Use tables for evidence and trait scoring.
- End with a "Recommendations" list.

---
[INSERT TEXT SAMPLE HERE]
[INSERT OPTIONAL CONTEXT/CONSTRAINTS HERE]