Big-brand bias
LLMs default to historical brands (Toyota, Volkswagen). Emerging or niche-premium brands only surface with strong editorial presence.
GEO audit by industry
GEO audit for automotive: which car does ChatGPT recommend for an electric SUV shopper?
Customers ask LLMs "best electric SUV for family under €50k", "alternatives to Tesla Model Y in Italy", "plug-in hybrid sedan with home charging". The model picks 3-5 brands. The GEO audit tells you how you're positioned and against whom you compete.
Why your industry needs a GEO audit
The auto funnel starts online: research, comparison, configuration, test drive booking. When AI consolidates 5 alternatives into one answer, it defines the customer's initial shortlist. Without an audit, you hand the first touchpoint to the most-publicized brands.
Use-case-driven prompts
Customers ask by use case (family, snow, small cities), not by model. You need content mapping models onto concrete scenarios.
Reviews + tests
Quattroruote, Auto Bild, Top Gear, YouTube reviewers: LLMs build sentiment from these. Without presence in independent tests, AI repeats the generic narrative.
Sample prompts where your brand should appear
These are the kinds of buyer-intent prompts ChatGPT, Gemini and Perplexity surface daily for your category.
- "best electric SUV for a family of 4 under €50000"
- "alternatives to Tesla Model Y with similar range in Europe"
- "plug-in hybrid sedan with home charging for 20000 km a year"
- "electric city car for Milan with fast charging"
What we measure
Four objective metrics that translate into actions: brand recall, share of voice, citation sentiment and competitor coverage.
Brand recall
How often your brand/model is cited on category prompts in the segment.
Share of voice
Citation share vs the 5-10 direct competitors, segment by segment.
Sentiment
How AI describes you: cited features, pros and cons, target. Discrepancies vs your positioning.
Competitor map
The models stealing your visibility for every relevant use case in your segment.