Decision survival

Decision survival queries the live AI engines under realistic buyer- intent pressure and asks: does your entity survive the recommendation, or get displaced by a competitor?

Scenarios

Three seeded scenarios at increasing decision depth:

generic_recommendation (depth 3) — “Recommend a leading X for Y use case.”
evaluation_pushback (depth 4) — the engine is given an objection and asked to defend or replace its recommendation.
final_choice_under_constraints (depth 5) — narrow constraints applied; engine must pick one.

Fetch latest evaluation

Returns the most recent AI engine evaluation for the entity, with the scenario breakdown and the displacement chain (which competitors took the slot when your entity was displaced).

curl -s "https://entidex.com/api/v1/entities/anthropic/decision-survival" \
  -H "Authorization: Bearer $ENTIDEX_API_KEY"

Interpretation

Survival rate — share of queries (across scenarios + engines) where the entity remained the recommended choice. Above 0.7 is strong; below 0.4 needs work.
Displacement chain — the ranked list of entities that took the recommendation when yours was displaced. The top three are your real AI-narrative competitors.
Depth-3 vs depth-5 gap — an entity that wins generic recommendations but loses final-choice scenarios is brittle. Optimise for depth-5.