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Digital Marketing Agencies Using AI to Write SEO & Social?

Had a big "AI isn't ready for the moment" today. Did a demo with a service that interacts with customer inside the CRM. It's first action was to message sold customers waiting for orders to come in and people who were marked dead because they couldn't finance the steam off of a hotdog. And they couldn't customize it to recognize lead statuses. Had it on for about 2 hours before cancelling the demo.
 
That's really not an ai issue in my view. I see that as not considering all the variables prior to designing the application. They are likely using other inputs from the crm to determine the best message to use. So they need to step back and look at how a lead status could be used in the mix.

I have always placed a lower weight on lead statuses in the crm as they are typically derived from a user at the dealership. I see it as the dealership's opinion of how they view the customer at that date and time. There are other variables that are less ambiguous also consider most of the statuses are not used correctly either.

If I was thinking about this from their perspective I would try to leverage variables that are devoid of human error as possible, recent, and most important - impact the end outcome the most. For example knowing the car they looked at was green is less important than they had a trade-in.

The other approach is to completely ignore all the prior data entirely and instead optimize on responses.
 
That's really not an ai issue in my view. I see that as not considering all the variables prior to designing the application. They are likely using other inputs from the crm to determine the best message to use. So they need to step back and look at how a lead status could be used in the mix.

I have always placed a lower weight on lead statuses in the crm as they are typically derived from a user at the dealership. I see it as the dealership's opinion of how they view the customer at that date and time. There are other variables that are less ambiguous also consider most of the statuses are not used correctly either.

If I was thinking about this from their perspective I would try to leverage variables that are devoid of human error as possible, recent, and most important - impact the end outcome the most. For example knowing the car they looked at was green is less important than they had a trade-in.

The other approach is to completely ignore all the prior data entirely and instead optimize on responses.
You're right. It's more of an input issue rather that the AI actually doing something wrong.
 
That's really not an ai issue in my view. I see that as not considering all the variables prior to designing the application. They are likely using other inputs from the crm to determine the best message to use. So they need to step back and look at how a lead status could be used in the mix.

I have always placed a lower weight on lead statuses in the crm as they are typically derived from a user at the dealership. I see it as the dealership's opinion of how they view the customer at that date and time. There are other variables that are less ambiguous also consider most of the statuses are not used correctly either.

If I was thinking about this from their perspective I would try to leverage variables that are devoid of human error as possible, recent, and most important - impact the end outcome the most. For example knowing the car they looked at was green is less important than they had a trade-in.

The other approach is to completely ignore all the prior data entirely and instead optimize on responses.
Got to thinking about this a bit more. I understand it may not have been set up yet to properly decode a status, but you would think it would recognize the fact that the customer had stated, "Yes, let's order it."
 
Pretty rad stuff, huh?


Gotta say, AI tools like those from REMOVED are game-changers for us digital marketers. They make our lives easier, saving time and helping us craft killer content that ranks like a boss. But hey, it's not just about automation; it's about adding that human touch, too. AI helps us fine-tune our strategies, but it's our creativity that sets us apart. So yeah, AI's dope, but it's all about how we use it to amplify our skills.
 
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Digital marketing agencies are increasingly leveraging AI for writing SEO and social media content, as it enhances efficiency and improves content quality. AI tools can analyze trends, generate keyword-rich articles, and optimize posts for better engagement. By integrating AI into their strategies, agencies like Pearl Lemon can deliver tailored content that drives traffic and boosts brand visibility.
 

✨ AI Highlights

Automotive marketing professionals debate whether digital agencies should disclose or even use AI tools like ChatGPT to generate dealership SEO content and copy. Opinions are split: some practitioners find AI-assisted content faster and higher quality than traditional copywriters when paired with strong prompts, while others (notably SEO specialist Greg Gifford) argue it ranks poorly and fails to connect with customers. The emerging consensus leans toward a **Human + AI hybrid approach** — using AI to accelerate and assist content creation rather than replacing human judgment entirely — with a clear warning against straight copy-paste AI content for SEO purposes.

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