Your car dealership website company failed you at SEO. Now they're trying to sell you AI SEO.
- Sean Cassy
- 1 hour ago
- 11 min read
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AI SEO. AEO. GEO. AISCO. LLM Optimization. AI Visibility. Generative Engine Optimization. Some acronym you didn't have to know last quarter, and now your website company is selling it back to you as a package upgrade — usually for an extra $400 to $1,200 a month, depending on how many rooftops you have.
Same company that built your site.
Same company that's never logged into your Google Search Console.
Same company whose pages Google has been quietly de-indexing for months because they provide no unique value.
Same company that "owns" your SEO and somehow can't get you out of single digits on Ahrefs after a decade of trying.
And now they're selling you visibility on ChatGPT, Claude, Gemini, and Perplexity.
Let me walk you through why that pitch can't possibly work — and what you should actually be doing instead.
The shared standards era is over
A few days ago, Duane Forrester — ex-Bing, the team that helped launch Schema.org in 2011 — published one of the more important pieces I've read this year on Search Engine Journal. The argument is short, and it matters.
SEO worked across search engines for twenty years because Google, Bing, and Yahoo built shared standards together. The Sitemaps protocol became joint property of all three engines in November 2006. Schema.org launched in June 2011 — same three companies, plus Yandex shortly after — to create a common vocabulary for structured data. Robots.txt was formalized as an internet standard (RFC 9309) in 2022, codifying what every serious crawler already honored. IndexNow followed in 2021. Every protocol you've ever heard of in SEO exists because the engines agreed it should.
Translation: when your SEO vendor "optimized for Google," they were also implicitly optimizing for Bing, Yahoo, DuckDuckGo, and every search engine that respected the shared substrate. The work ported. The advice was portable. The webmaster only had to learn one set of rules.
That world doesn't exist in AI.
ChatGPT runs primarily on Bing's index. Claude uses Brave Search. Gemini runs on Google's index plus Knowledge Graph grounding. Perplexity built its own retrieval pipeline on a Vespa-based system.
Four platforms. Four different infrastructures. No shared standards. No common protocol. No portability.
And the divergence runs deeper than retrieval. Every provider runs its own crawler infrastructure — and not just one crawler each.
OpenAI runs three separate bots: GPTBot for training, OAI-SearchBot for indexing, and ChatGPT-User for live retrieval. Anthropic runs three of its own: ClaudeBot, Claude-SearchBot, and Claude-User. Google split Google-Extended off its main Googlebot specifically to give site owners a way to opt out of Gemini training without affecting Google Search indexing.
There is no single "AI crawler" you can configure for. Every provider requires its own rules, and the rules don't translate cleanly because the bots don't do equivalent jobs.
Then there's the alignment layer — the post-training process where each company shapes how its model actually responds. OpenAI uses Reinforcement Learning from Human Feedback (RLHF). Anthropic developed Constitutional AI, training models to critique and revise their own outputs against a written set of principles. Google uses its own proprietary methods. The same retrieved content, fed into two models aligned by two methodologies, can produce two materially different answers about the same dealership. There's no SEO-era equivalent to this. It's entirely new ground.
The clearest single proof that LLM guidance doesn't port is something called llms.txt — a markdown manifest proposed in September 2024 to guide LLMs to a site's most important content. The SEO industry picked it up immediately. Yoast built a generator.
Agencies added it to their service catalogs. Conference speakers declared it essential.
As of mid-2026, no major LLM provider has confirmed they actually consume the file. Google's John Mueller publicly compared it to the deprecated meta keywords tag. Gary Illyes confirmed at Search Central Live in July 2025 that Google doesn't support it and isn't planning to. Server logs across hundreds of thousands of domains show that major AI crawlers don't even request /llms.txt.
The Schema.org playbook — propose a standard, get the major engines to adopt it together, watch the ecosystem fall in line — does not exist in LLM-land. The platforms aren't building standards together. They're building their own pipelines.
Then Forrester drops the numbers that should stop the conversation cold.
In late 2024, roughly 75% of pages cited in Google's AI Overviews also ranked in Google's top 12 for the same query. After Google upgraded AI Overviews to Gemini 3 in January 2026, Ahrefs analyzed four million AI Overview URLs and found that overlap had dropped to 38%. BrightEdge's separate analysis put it closer to 17%. SE Ranking's research found Gemini 3 replaced approximately 42% of the domains previously cited under earlier model versions and generated 32% more sources per response.
Google's own AI Mode and Google's own AI Overviews — both Gemini-powered, same company, same building — reach the same conclusions 86% of the time. They cite the same URLs only 13.7% of the time. Only 14% of AI Mode citations rank in Google's traditional top 10.
Across 118,000 AI responses analyzed by Qwairy spanning ChatGPT, Claude, Perplexity, and Google AI Mode, only 11% of cited domains appeared on more than one platform. 89% were platform-specific.
Translation: even inside one company, "ranking on Google" no longer means "being cited by Google's AI." Across different LLM companies, the gap is enormous. There is no master playbook. There can't be one. The platforms aren't building it together — and based on every competitive incentive in the AI market right now, they're not going to start.
So what is your website company actually optimizing?
When your car dealership website vendor sells you "AI SEO," walk through this checklist with them.
For ChatGPT, they'd need a Bing strategy. ChatGPT historically retrieves from Bing's index when it needs to ground answers in current web content. So ask them: how many of your inventory pages, your service pages, your finance pages are submitted to Bing Webmaster Tools? Is there a sitemap submitted? Are you actually indexed? In my experience auditing dealer sites across North America, the answer is almost universally "we haven't touched Bing." That's not optimization. That's invisibility on the platform powering 800 million weekly ChatGPT users.
For Claude, they'd need a Brave Search strategy. Anthropic uses Brave as its retrieval partner. Brave has its own webmaster tools, its own indexing relationship, and its own search index that does not match Google's. Ask your vendor if they've ever submitted anything to Brave. Ask them if they know what Brave is.
For Gemini, even Google now says ranking in Google Search isn't a reliable proxy for being cited by Gemini's own surfaces. The Ahrefs analysis above was the proof. So what's the actual plan? Optimizing for Google Search and hoping it carries over has stopped working — and Google has effectively told the SEO industry that out loud.
For Perplexity, the retrieval architecture is different again. Perplexity treats documents and sub-document chunks as first-class retrievable units in a Vespa-based pipeline. Chunk-level optimization isn't something traditional SEO tooling even addresses.
Your website company doesn't have answers to any of this. Not because they're hiding the playbook — because there is no playbook that scales across the same website template stamped onto 500 dealer rooftops. The platforms have made portable optimization mathematically impossible. Anyone selling "AI SEO" as a single bundled service is either misinformed or selling fog.
And here's the part that should really land. There's no shared robots.txt configuration that addresses the AI bot landscape. A competent vendor should be making decisions like this: do we let ChatGPT-User retrieve your inventory page in real time when a buyer asks "best certified pre-owned SUV near Whitby" (citation opportunity) while blocking GPTBot from using your content for training (IP protection)?
Different bot, different policy, different business outcome. Every dealer robots.txt I've audited in 2026 treats AI bots as one undifferentiated thing — either fully blocked or fully open. That's not optimization. That's negligence with a service fee attached.
The Ahrefs reality check most dealers haven't seen yet
Before you read on, the obvious pushback. "But I do rank on Google. Google my dealership name and I'm the first result." Right. So is every pizza shop and every dry cleaner in your town. Google handles branded queries automatically. That was never the job.
The job was ranking you for the non-branded keywords that actually move a needle. "Best used SUV under 15k near me." "Honest car dealer in [your city]." "Trade-in value for [model]." "Bad credit car loan [your region]." The high-intent, non-branded searches your real buyer is doing before they know your name exists. That work compounds in your Ahrefs Domain Rating over years. Branded ranking doesn't.
Here's the part that should stop the room.
If your website company had been delivering real SEO for the last twenty years — when the protocols were shared, the standards were portable, and a competent vendor could actually move you up the stack — your domain authority would have grown. Year one DR 2. Year three DR 7. Year five DR 15. Year eight DR 27. You'd see compounding.
That's how a healthy site looks in Ahrefs. That's how the local plumber down the street looks in Ahrefs. That's how the personal injury lawyer two blocks over looks in Ahrefs. They've earned real backlinks, produced real content, and built real domain authority over time — usually without paying anywhere near what you pay your website vendor.
Pull your dealership's Ahrefs DR right now. I'll wait.
Most dealers are stuck in single digits. A DR of 4, 7, maybe 9. A few are in the low teens because they got lucky with a press mention or a community sponsorship that earned real backlinks. A dealer with DR 20+ is a snow leopard — you barely see them. A dealer with DR 30+ is an accident, not the fruit of strategy.
Now pull your indexing data. Look at how many of your VDPs, your SRPs, your service pages, your finance pages, your blog posts are actually indexed in Google. Then compare that number to how many pages your site has. The gap — and there is always a gap, often a massive one — is Google quietly telling you that most of your content provides no unique value worth surfacing.
That's not a technical glitch. That's a quality signal. Your website vendor's templated, duplicate-content-riddled, AI-generated boilerplate failed the basic value test, and Google has been quietly de-indexing it for years while still cashing the SEO retainer.
Twenty years of shared, portable SEO standards. And your website company couldn't get you out of single digits or keep more than half your pages indexed.
Now the same company is asking you to trust them with visibility on four AI platforms with no shared standards, no portable protocols, and no public roadmap.
Read that twice.
What you actually do instead to optimize your car dealership AI SEO
Stop trusting the package. Start testing the reality.
A multi-LLM visibility audit is the only honest starting point. Here's how it works.
Pick your top 50 local queries. The ones a real buyer in your market would ask. "Best Ford dealer near [your town]." "Where to buy a used SUV with bad credit in [your region]." "Honest used car dealer in [your city]." "Cheapest oil change [your area]." "Service department reviews [your dealership market]." The stuff your customers actually type and speak into their phones. Mix branded queries, category queries, near-me queries, and review-intent queries to get a representative sample.
Run those same queries through five surfaces. Claude. ChatGPT. Perplexity. Gemini AI Mode. Gemini AI Overviews. Same questions, five times. Use neutral profiles — not your logged-in account that's been chatting about Truck Month for six months — so personalization doesn't skew the results.
Log three things every time:
Who is being cited?
Your dealership?
Your competitor across town?
An aggregator like Cars.com or AutoTrader that owns the lead anyway? A Reddit thread where dealers in your market are being roasted? A YouTube video from a third party? A local news article? A specific LLM platform may consistently cite a source you don't even have a relationship with — and that pattern is your roadmap.
What is the citation source? Each LLM tells you (with varying transparency) where it pulled the answer from. ChatGPT cites differently than Claude. Claude cites differently than Perplexity. Map every source for every query. Patterns emerge fast — Reddit dominates certain query types, YouTube dominates others, DealerRater shows up consistently for review-intent queries, local news shows up for community-credibility queries.
Where are you invisible? Sometimes the honest answer is: you don't appear anywhere, on any platform, for any query. Or you appear once, on one platform, in answer to a query no buyer will ever ask. That's the truth most dealers haven't sat with yet.
The audit itself is the wake-up. The work that follows is platform-specific and built on the boring fundamentals your website company should have been doing for the last decade.
For ChatGPT visibility, get yourself indexed in Bing. Submit a sitemap. Verify the property in Bing Webmaster Tools. Fix the technical issues Bing reports — they're often different from what Google flags, and Bing surfaces them faster.
For Claude visibility, get yourself indexed in Brave Search. The submission process is different but the principle is the same.
For cross-platform retrieval, lean into the third-party authority sources every major LLM disproportionately cites: Wikipedia (where applicable), YouTube (which validates the Truck Month, Spring Event, and brand-story video work many of you are already doing), Reddit (active presence in r/cars, r/usedcars, r/whatcarshouldibuy, plus your local subreddits — done genuinely, not spammed), major news outlets (community involvement that earns real press), and review platforms (DealerRater, BBB, Google Reviews, Cars.com).
For bot configuration, audit your robots.txt and split your policies. Let ChatGPT-User, Claude-User, and PerplexityBot retrieve your inventory and service pages so you can be cited when buyers ask their AI assistants for recommendations. Block GPTBot and ClaudeBot from training crawls if you want to protect your original content from being absorbed into the model weights without compensation. This is not theoretical — it's a five-minute fix that 99% of dealer sites haven't made.
For real domain authority, earn real backlinks. Community sponsorships that get covered in local press. Educational content other sites link to genuinely. Vendor partnerships that produce co-marketed assets with real link equity. The same stuff that built DR in 2010 still builds DR in 2026 — it's just that nobody has been doing it for you.
Run this audit quarterly. The platforms are changing fast. Gemini 3 dropped in January 2026 and rewrote the citation map across Google's surfaces overnight. Whatever audit you ran in Q1 2026 is not the audit you need in Q3 2026. This is ongoing work, not a one-time deliverable.
The bigger argument
There's a bigger argument under this one, and it's the one that matters most.
If external AI visibility is fragmenting and non-portable, then internal AI capability is the only stable asset a dealership can compound.
Your owned intelligence layer — the prompts, the workflows, the data extraction pipelines, the team activation, the markdown architecture that builds month over month, the dealer-specific operational knowledge that gets refined and reused — survives platform divergence. When OpenAI changes its alignment methodology, your owned playbook still works. When Google changes Gemini's retrieval mix, your customer-data extraction pipeline still works. When Anthropic ships a new Claude model with different behavior, your team's prompt library and your dealership's documented workflows still work.
Your vendor's "AI SEO" package does not survive any of those changes. It can't. It was never built to.
This is the structural reason "rent vs. own" matters in AI strategy. External visibility is a battlefield you fight tactically, per platform, with constant testing and iteration. Internal capability is the asset that compounds quietly while the external chaos plays out.
Dealers who confuse the two — who think buying a vendor product is the same as building internal capability — are going to spend the next five years renting a position they could have owned.
You can't rent your way to a defensible position in this market.
You build the inside first. You audit the outside honestly. You stop paying people to optimize you for a world that doesn't exist.
That's the work for 2026.
If you're a dealer reading this and you want to know your actual position across the four major LLM platforms — not the report your website company sends you, the real one — reach out. The audit is the honest starting point, and most of your competitors haven't taken it yet. That window won't last long, but right now, it's wide open.
About the author:
Sean Cassy is a seasoned marketing professional with a passion for transforming businesses through powerful marketing strategies. With over 35 years immersed in the world of marketing, and as the co-founder and owner of Turbo Marketing Solutions for the past 20 years, Sean has a rich history in delivering results. He has personally crafted over 2,500 marketing funnels, edited 5,000 videos, and generated leads that have culminated in over $2 billion in sales for clients.
Sean’s deep involvement with AI marketing tools from companies worldwide, coupled with his vast experience in the automotive marketing industry, has uniquely positioned him as a thought-leader in the AI marketing space. He is now committed to leveraging his expertise to help businesses across all verticals seize the AI opportunity early, and gain a competitive edge.
Sean’s wealth of experience, continuous learning, and proven track record in delivering results underscore his Expertise, Authoritativeness, and Trustworthiness in the field of AI marketing.
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