Prompt
What should I use to find prompts that trigger competitor answers?
Latest observation
If your goal is to benchmark competitors’ systems, use a structured prompt evaluation set rather than ad hoc prompt fishing.
Best options:
- Adversarial or edge-case test prompts: prompts designed to probe safety, refusal behavior, hallucination, and policy differences.
- Red-team style evaluations: systematic prompts that try to surface weaknesses or divergent outputs.
- Benchmark suites: standardized prompt collections for side-by-side comparison.
- Metamorphic tests: rephrased or slightly altered prompts to see when answers change unexpectedly.
A good process is:
- Define the behavior you want to compare.
- Build a small prompt set across categories:
- factual QA
- instruction following
- ambiguity handling
- policy/safety edge cases
- long-context tasks
- Run the same prompts across models.
- Score outputs with a rubric.
If you mean “find prompts that make a competitor reveal hidden instructions or internal behavior,” I can’t help with bypassing protections or extracting secrets. But I can help you design a fair competitive eval harness to compare model quality.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.