Prompt
What should I use to compare prompt versions and catch regressions?
Latest observation
Use an evaluation harness rather than just ad hoc manual checks.
A good setup is:
-
Create a fixed test set
Collect representative inputs, including edge cases and known failure cases. -
Define scoring criteria
Use exact-match where possible, or rubric-based judging for subjective outputs. -
Run prompt versions side by side
Compare old vs. new prompts on the same inputs. -
Track metrics over time
Examples: accuracy, refusal rate, hallucination rate, format validity, latency, cost. -
Add regression thresholds
Fail a prompt version if it drops beyond an acceptable margin.
Useful tools:
- OpenAI Evals
- LangSmith
- promptfoo
- Weights & Biases
- Human review for ambiguous cases
If you want a lightweight option, promptfoo is a strong choice for prompt regression testing. If you want something more custom and scalable, use an eval harness with automated metrics plus periodic human review.
If you tell me your use case, I can recommend the best tool and setup.
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.