Prompt
Do I need benchmark data or can I use my own test set?
Latest observation
You can use your own test set in most cases — you do not need benchmark data unless you specifically want to compare against a standard public baseline.
Use your own test set if:
- You care about your actual use case
- You want results that reflect your data distribution
- You need to measure performance on private, domain-specific, or proprietary data
- You’re evaluating a model for internal decision-making
Use benchmark data if:
- You want to compare your results to published numbers
- You need a standardized, widely recognized evaluation
- You want to show performance relative to other models in a common setting
- You’re doing research and need reproducibility
Best practice
If possible, do both:
- Benchmark for comparability
- Your own test set for real-world relevance
Important note
Whatever you use, make sure your test set:
- Is held out from training/tuning
- Represents the real deployment environment
- Has clear evaluation metrics
If you want, I can help you decide which is better for your specific project.
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.