Automotive News Commentary
We have talked about content. We have talked about infrastructure. Now we get to the part of the AI visibility conversation that every marketing executive can actually see.
The answer.
What does ChatGPT say about you? What does Gemini say? What does Perplexity say?
For years we have spent a tremendous amount of time monitoring Google rankings. I think we are entering the era of monitoring AI answers, and there is a big difference between the two. A traditional search engine gives the consumer a list of choices. An AI assistant may simply give the consumer an answer. That changes the stakes.
The first thing I would recommend is to stop thinking only about your company name. Yes, you should absolutely ask ChatGPT or Gemini what it knows about your business. But the bigger opportunity is in category questions. If you sell mobile service technology, ask which companies specialize in dealership mobile service. If you provide recall marketing, ask which companies help dealerships find customers with open recalls. If you are a dealership, ask which dealers in your market are known for mobile service, EV expertise or whatever area you want to own. Then look carefully at what comes back.
Are you there? Who appears instead? How are they described? What sources are being cited? Is your website being used, or is somebody else's website explaining your business better than you are? That is useful information.
I think every company should eventually build a standard library of questions it monitors over time. Maybe you start with 25. Over time it becomes 50 or 100. Some should be brand questions. Some should be product questions. Some should be competitive questions. Some should be educational questions. Some should reflect real customer problems. Then run the same questions through several AI platforms and look for patterns. Do not obsess over one individual answer because AI results can change. Look for the bigger picture. Over 50 questions, how often does your company appear? How often does a competitor appear? When your company is mentioned, are you just part of a list or are you described as a leader? Is your website being cited? Are the facts correct? That starts to create what I would call an AI Share of Answer.
I think that is going to become a very useful metric. Accuracy is just as important as visibility. It does not help much to be mentioned if them information is wrong. Ask the AI systems who owns the company, what the company does, what products it offers, who it serves and where it operates. Then compare the answers to what the company actually wants the market to understand. The gap between those two things is your AI visibility gap. On one side is what you want people to know about the business. On the other side is what the AI currently believes. That difference tells you where work needs to be done.
One of the most useful things you can do is look at the sources being cited. If Perplexity answers a question in your category, open the source. If ChatGPT cites a page, read it. Ask why that page was selected. Was it clearer? Was it more current? Did it contain original data? Did it answer the question more directly? Was it written by someone with stronger visible expertise?
Sometimes the competitor is not beating you because they have a better website overall. They may simply have one very strong page that answers the exact question the AI system needed to answer.
Now you have something you can act on.
This is where monitoring becomes the feedback loop for the entire process. You publish stronger content. Your infrastructure makes sure it can be accessed. Monitoring tells
you whether the AI systems are actually using it. Then you take what you learn and feed it back into the content strategy. If competitors dominate questions about dealership retention, build stronger retention content. If an AI system keeps citing an outdated article, update your authoritative page.
If it misunderstands your product, make the explanation clearer. If another website is describing your company better than your own site, fix that. This should not be a one-time project. It is a continuous cycle. There is another measurement I think is going to matter a lot, and that is what concepts AI associates with your brand. Does it connect you to fixed operations? AI video?
Customer retention? Email marketing? Recall marketing? Mobile service? Whatever subjects are important to your positioning, AI should eventually make those same
connections. If it does not, that tells you that you may not have established enough topical authority yet.
The goal here is not to game ChatGPT or manipulate AI. The goal is to clearly communicate real expertise in a form that modern information systems can understand.
If you are truly an authority in a category, your digital presence should prove it. If you have evidence, publish it. If you have experience, explain it. If you have data, document
it. If you have results, build case studies around them. Then watch what happens. In the final article in this series, I am going to pull all of these pieces together into one practical framework that dealers and automotive companies can actually use.