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AI SEO or GEO building ideas

This is where it gets interesting.

What you’re describing sounds like a layer that sits above all of it:
  • Pulls in signals from every system (inventory, CRM, ads, comms)
  • Structures that into usable context
  • Pushes it back out so every platform is operating from the same intelligence
So the website, ads, BDC, etc. aren’t trying to figure things out independently, they’re all reading from the same source.
I'm taking a swing at solving for this right now with an open source project.

I think it goes beyond signals from inventory, CRM, ads, comms. Structure it. Push it back out so every platform reads from the same source instead of guessing on its own.

VCTRS.IO is my attempt at that. Three layers: what's declared, what's observed in the systems, and what's stuck in people's heads and never written down anywhere. That third layer is where it actually gets interesting. Most context plays stop at layer two. This industry has operated on gut for so long. That gut instinct or tacit layer might have to be a managed service.

Still early. Don't know what it becomes yet. The part I care most about is the open plugin layer. Dealers or anyone else can build their own and monetize it instead of guessing every use case for them. So far - beta users have come up with interesting things like creating employee schedulers, commission plan automations, employee onboarding, vendor digital rooms, or plug-ins as canaries in the coal mine so they dont have to have 30 windows open at a time.

Almost ready to open it up. It will be free. Bring your own keys and/or AI.
 
I'm taking a swing at solving for this right now with an open source project.

I think it goes beyond signals from inventory, CRM, ads, comms. Structure it. Push it back out so every platform reads from the same source instead of guessing on its own.

VCTRS.IO is my attempt at that. Three layers: what's declared, what's observed in the systems, and what's stuck in people's heads and never written down anywhere. That third layer is where it actually gets interesting. Most context plays stop at layer two. This industry has operated on gut for so long. That gut instinct or tacit layer might have to be a managed service.

Still early. Don't know what it becomes yet. The part I care most about is the open plugin layer. Dealers or anyone else can build their own and monetize it instead of guessing every use case for them. So far - beta users have come up with interesting things like creating employee schedulers, commission plan automations, employee onboarding, vendor digital rooms, or plug-ins as canaries in the coal mine so they dont have to have 30 windows open at a time.

Almost ready to open it up. It will be free. Bring your own keys and/or AI.

My apologies...this is me trying to understand:

You believe dealerships don't actually have a marketing problem, they have an information problem.

A dealership has:
  • Website
  • CRM
  • Inventory system
  • Google Business Profile
  • Meta Ads
  • Google Ads
  • Service scheduler
  • Phone system
  • HR software
  • Accounting
  • Employee handbook
  • Training documents
  • Slack
  • Email
  • DMS
  • OEM portals
Every one of those knows something.

None of them know everything.

And the most important information isn't inside any software. It's inside someone's head!

Example:

The GM knows:
"We always sell more Wranglers after the first snow."
Nobody wrote that down.

The marketing agency doesn't know.

The website doesn't know.

The CRM doesn't know.

The AI doesn't know.

And the guy that does know it just retired!

That knowledge disappears forever.

Layer 1 = Declared​

Facts someone intentionally entered.

Example:
  1. Dealership Name
  2. Address
  3. Hours
  4. Phone Number
  5. Inventory
  6. Employees
  7. OEM Certifications
  8. Pricing Rules

Layer 2 = Observed​

Things software notices.

Example:
  1. Lead response time
  2. Sales trends
  3. Inventory aging
  4. Ad spend
  5. Website traffic
  6. Call recordings
  7. Appointments
  8. API usage
  9. Search rankings

Layer 3 = Knowledge​

This is what lives inside people.

Examples:

  1. Don't advertise lifted trucks to retirees.
  2. Jim closes truck buyers better than anyone.
  3. Avoid wholesale purchases in November.
  4. Customers from this county negotiate harder.
  5. Always feature SUVs before football season.
  6. The owner's wife hates blue homepage banners.
  7. This OEM rep answers texts faster than email.
None of this exists anywhere.
But it drives the dealership.

Your Engine​

Dealership Context
Inside:
  • Identity
  • Goals
  • Processes
  • Employees
  • Knowledge
  • Preferences
  • History
  • Rules
  • Performance
  • Inventory
  • Customers
  • Market
  • Culture
Every application reads from this.
Instead of

Website



CRM



Ads



Inventory



HR



Accounting



ChatGPT

all maintaining separate versions...

they all ask;

Context Engine

Give me the truth.

Instead of having a brain, everything is connected to the nervous system.

However you don’t think you can predict every workflow, so you have plugins, kind of like WordPress.​

Your not trying to compete with AI models.
Your assuming AI will keep changing, so you allow the dealership to connect whatever AI they want to use.

Everything plugs into your system?

However you need:
  • permissions
  • synchronization
  • conflict resolution
  • security
  • governance
  • schemas
  • APIs
  • versioning
  • plugins
  • user management
  • auditing
You're basically describing Salesforce, Notion, Zapier, LangChain, and an enterprise knowledge graph rolled into one.

Am I thinking about this correctly?
 
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The amount of misleading information on SEO and LLMs is really sad.

You cannot rank first on ChatGPT. That's not how LLMs work. For one they are not consistent when giving answers ... by design! They are meant to be unique, therefor there is no consistent #1 ranking.

And they are not designed to get you clicks, they are designed to answer questions.

GEO is AI forcing SEO's to do SEO the way they were supposed to be be doing it along.

They claim you need new tactics to “rank” in AI answers but when you look closely…it’s nothing more than the same old SEO fundamentals.

The reason it feels new to most SEO's is because they never did SEO correctly in the first place.
This is literally what I tell dealers all the time!
 
I have found that when you get on page seo and internal linking structure down well, you can start building a backlink profile and get great results for ai. I have noticide they like comparison content and wiill often cite it when users are asking llms about different things and how they compare. I have gottien customers from on of the compare articles we made and it came from an ai query. We had literally posted it 3 days prior. It seems to work
 
FWIW - May be a helpful exploration for many here (If you're not a reader start with the TLDR weekly newsletter on linkedin here)... And subscribe if you're inclined.

For 26 years, I’ve watched this industry add layer after layer to the customer journey. More vendors. More platforms. More data. More compliance. More automation. More ways to measure every individual part of the experience.

And somehow, the complete experience has become harder to own.

It's the tension franchise dealers are facing right now. And the tension that is driving customers to lower friction experiences.

Customers are researching through AI, marketplaces, social platforms, reviews, Maps, OEM properties, and third-party tools long before they reach a dealer website. Margins are tighter. Acquisition costs are higher. Compliance is more complex. The technology stack keeps expanding.

Meanwhile, many dealership websites have become polished digital flyers: inventory, offers, payments, pop-ups, forms, and very little that shows customers why this dealership is worth choosing.

I believe customer experience is the real inflection point for the franchise model.

Inventory can be aggregated. Prices can be compared. Product information can be summarized. Technology can be licensed.

A dealership’s people, expertise, service capability, community relationships, and ability to create confidence throughout ownership are much harder to copy.

That is the defensible moat... Not CX as a slogan or survey score. CX as an operating system connecting marketing, content, compliance, technology, sales, service, and the people inside the store.


It was always, and will always be about the customer. - The series this week is in-depth and not built for casual operators. Hit the newsletter if you want the lite version but heres the content hub if you're feeling brave - The Customer Experience Inflection Point | On the Horizon
 

✨ AI Highlights

  • GEO success requires topical authority across interconnected content, not isolated keywords
  • Structured inventory data and schema markup help AI surface specific vehicles
  • LLM.txt files alone are overhyped; foundational SEO practices remain essential

Dealers and vendors are swapping strategies for getting cited in AI-generated search responses (GEO) as LLMs increasingly replace traditional Google results. A key insight from multiple contributors, including SEO veteran Greg Gifford, is that GEO success isn't a new discipline — it rewards the foundational SEO work many shops neglected, such as clean site structure, authoritative content, and comparison articles that AI models readily cite. Side discussions surfaced developer tools for reverse-engineering ChatGPT's internal search logic and open-source projects aimed at unifying dealer data signals so every platform operates from a single source of truth.

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