Digraph

Digraph Index · Public beta

The prompts shaping demand — and the brands AI chooses.

Explore category-level AI visibility across recurring buyer questions. Filter a sector to see who leads, which prompts matter, and where the category is still open.

Sector

Choose a category

Selected sector

Automotive

Benchmark prompt set

48 buyer prompts

Category opportunities

2 open clusters

Brands recommended for electric, family, premium, and value-led vehicle decisions. Index values shown here are representative beta data, designed to validate the public experience and scoring format before the live category pipeline is published.

Category leaderboard

AI Share of Voice

Last 7 days
#BrandScore7d
1

BMW

58% mention rate · avg. #2.1 · High confidence

34.82.7
2

Tesla

54% mention rate · avg. #2.4 · High confidence

31.61.4
3

Volkswagen

43% mention rate · avg. #3 · High confidence

22.33.2
4

Audi

37% mention rate · avg. #3.4 · Medium confidence

18.71.1
5

Toyota

34% mention rate · avg. #3.8 · Medium confidence

15.40.6

Popular AI prompts

Questions that shape the category

Prioritize these clusters by likely buyer demand, then assess whether AI’s recommendation is open or already entrenched.

Which electric SUV is best for families?

Answer volatility: Moderate

RecommendationHighBMWContested

What is the best value electric car in Germany?

Answer volatility: High

ValueHighVolkswagenOpen

Which EV has the best range for long road trips?

Answer volatility: Low

ComparisonHighTeslaOwned

What is a good first electric car to buy?

Answer volatility: High

BeginnerMediumBMWOpen
“Demand” is a bucket, not a claimed exact volume. In production it should be based on a documented prompt panel or aggregated, privacy-safe prompt dataset; until then, label it as estimated.

Turn category intelligence into your own benchmark.

Track the prompt set that matters to your brand, add your real competitors, and identify the sources shaping AI recommendations.