Research engine or working environment?
Measure Perplexity on the research stage: finding sources, assessing freshness and making evidence accessible. Also measure ChatGPT on how analysis, drafting and a reusable work output work together. The two may be useful in sequence.
Boundary: citation is not verification
Manually verify the primary source, publication date, actual claim and accessibility. The downstream process must not treat a summary as established fact merely because a link is shown.
Pilot: research through approved briefing
- Use five current and five time-stable questions
- Record primary-source rate, dead links and claim mismatches
- Create an approval-ready briefing from the same evidence
- Measure research time and editorial rework separately
Decision matrix
| Criterion | Perplexity | ChatGPT |
|---|---|---|
| Research core | Measure source discovery, freshness and link checking | Measure research together with analysis and drafting steps |
| Evidence boundary | Check every citation against the original claim | Separate sources and inferences in the artefact |
| Target output | Verified source pack or research briefing | Reviewed draft or finished work artefact |
Keep it verifiable
Primary sources
- Perplexity data collectionSource checked:
- Perplexity enterprise retentionSource checked:
- Perplexity enterprise permissionsSource checked:
- Perplexity Agent API presetsSource checked:
- OpenAI: ChatGPT WorkSource checked:
- OpenAI: Codex CloudSource checked:
- OpenAI: sandbox and approvalsSource checked:
- OpenAI: enterprise privacy and controlsSource checked:
