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The thread debates whether generic AI tools like ChatGPT can effectively audit dealership websites, with the original poster arguing they produce false findings due to lack of automotive industry expertise and real-time data access. Replies reveal the core issue: vanilla AI generates confident-sounding but unreliable conclusions from incomplete inputs, while industry-specific, properly-configured AI tools with full site data and automotive context can deliver legitimate value. The emerging consensus is that dealers need purpose-built, dealer-focused AI audits rather than generalist chatbot prompts, with several vendors highlighted as building specialized solutions.

Dealers debate whether structured data (schema markup) is critical for appearing in AI search results, with the original poster claiming it's essential for AI Overviews and Generative Engine Optimization, while skeptics argue AI models don't inherently rely on schema. The discussion reveals significant disagreement: some participants found testing tools to be inaccurate or misleading, others noted conflicting research on schema's correlation with AI results, and concerns emerged that "GEO" is simply repackaged SEO being sold as a new service. The thread ultimately suggests that while schema *may* help indirectly (through indexing and retrieval layers), it's not the guaranteed gateway to AI visibility that vendors are marketing, and dealers should be cautious about claims that schema markup alone will get them discovered by AI search engines.