Perplexity and ChatGPT are two of the best-known AI tools on the market. Both have strong use cases, both are used intensively – and both are primarily aimed at individual users. For businesses, however, questions arise that rarely appear in an individual product review: who is responsible for data processing? What happens to inputs? Is there a DPA?
This article answers these questions objectively, without passing judgement on third parties. It shows what both tools do well, where their limits lie and why Lurus is an independently positioned alternative for business use.
What an AI solution must deliver for businesses
- GDPR compliance and DPA under Art. 28 GDPR
- No training of AI models with business data
- Data processing with European partners
- Audit logs for transparency and compliance
- Team management, roles and model selection
What Businesses Should Review Before Using Any AI Tool
Before an AI tool is used for business processes, the following questions should be answered. They apply equally to Perplexity, ChatGPT and any other provider:
- Are user inputs used for training AI models? This is an exclusion criterion for many businesses.
- Is there a data processing agreement under Art. 28 GDPR? Without a DPA, use with personal data in the EU is problematic.
- Where is data processed? Data transfers to third countries require special safeguards.
- Are there audit logs? Relevant for compliance, internal control and legally required for high-risk AI.
- Can the tool be used for your specific use case? Not every model is optimised for every context.
The answers to these questions determine tool selection more strongly than functional differences – especially in regulated sectors or when using sensitive data.
Perplexity AI: Strengths and Limits
Perplexity AI has established itself as a specialised AI search engine. The core idea: every query is matched against the web in real time, and the answer contains direct source citations. This makes Perplexity remarkably practical for certain tasks.
Perplexity's strengths
- Real-time web search: Perplexity accesses current web content with every query. News, current data and recent developments are directly incorporated.
- Source citations: Answers are provided with direct source references. This facilitates verification and increases traceability.
- Ease of use: Perplexity is quickly accessible and requires no onboarding. The interface is focused on research.
Perplexity's limits in business use
Perplexity impresses with its real-time web search and clear source citations. For private use and quick individual research, that is a genuine advantage. For businesses working with sensitive data, questions arise that go beyond features: which data processing options apply to my plan? Is there a DPA? Are inputs used for model improvement? These points should be carefully reviewed before business use.
Perplexity is not designed for multi-step workflows, autonomous agents, team management or extensive tool integrations.
ChatGPT: Strengths and Limits
ChatGPT is the best-known AI tool worldwide and offers a broad range of applications: from text creation to code generation to complex analysis. The newer models of the GPT-5 series set benchmarks for language understanding and reasoning.
ChatGPT's strengths
- Broad model range: From GPT-4o to GPT-5.x, powerful models are available for various tasks.
- Versatility: Text creation, code, analysis, image generation (DALL-E) and web search in one platform.
- Custom GPTs: Users can configure specialised assistants – a form of agent-like customisation.
ChatGPT's limits in business use
ChatGPT is a powerful tool that works excellently for individual users. For businesses with strict data protection requirements, the framework conditions need to be reviewed carefully: which privacy options apply to which plan? When is a DPA available? Where is data processed? The Enterprise version offers enhanced options – at correspondingly higher costs. ChatGPT is also primarily limited to OpenAI models, which does not allow for model independence.
The Direct Comparison
The following table compares all three tools according to the criteria that are relevant for business use. The order of criteria follows their importance for compliance and data protection.
| Criterion | Perplexity | ChatGPT | Lurus |
|---|---|---|---|
| GDPR compliance | Please review current privacy policy | Please review current privacy policy | Yes – GDPR-compliant, European partners |
| DPA under Art. 28 GDPR | Enterprise plan required (please verify) | ChatGPT Enterprise (please verify) | Yes, available on request |
| No model training with user data | Enterprise: can be disabled (please verify) | Enterprise: can be disabled (please verify) | Yes – no training with user data by default |
| Audit logs | Not known | Enterprise: limited | Yes – complete logging |
| Real-time web search | Yes – core feature with source citations | Yes, integrated | Yes – Deep Research with source analysis |
| Team management | Enterprise plan | Team and Enterprise plan | From Team plan (5 users) |
| Model selection | Own models (Sonar) | OpenAI models (GPT-4o, GPT-5.x, o3) | 15+ models (open source + premium on request) |
| Local chat storage | No | No | Yes – optionally local in browser |
| Multi-agent architecture | No | Limited (Custom GPTs) | Yes – full multi-agent support |
| Tool integrations | Limited | Plugins, API | 100+ tool actions, open API |
Data Protection: What Businesses Should Specifically Review
Instead of passing judgement on the data protection situation of individual providers, we recommend that businesses clarify the following questions directly with the provider before using any AI tool:
- Does the provider offer a data processing agreement under Art. 28 GDPR?
- Are user inputs used for training or improving AI models – and can this be disabled?
- Where is data processed? Is there a transfer to third countries?
- Are there logging and audit functions?
- What contractual assurances apply to the plan being used?
For Lurus, these questions are clearly answered: DPA under Art. 28 GDPR on request, no training of AI models with user data, European partners, complete audit logs. This gives businesses a reliable basis for their data protection documentation.
When Does Which Tool Fit?
Perplexity and ChatGPT have clearly defined strengths. Neither tool is the best choice for every use case.
Perplexity is particularly suited for
- Quick individual research with source citations
- Fact-checking and current information
- Personal use without business data protection requirements
ChatGPT is particularly suited for
- Creative text creation and brainstorming
- Code generation and technical analysis
- Broad application scenarios without strict GDPR requirements
Lurus is particularly suited for
- Businesses with GDPR requirements and data protection documentation
- Teams requiring shared AI access with roles and policies
- Multi-step workflows and process automation
- Deep research in a business context
- Sectors with enhanced data protection requirements
Lurus as an Alternative: What Makes the Difference
Lurus is not a direct copy of Perplexity or ChatGPT, but an independently positioned platform developed specifically for business use. The key differences:
Deep Research instead of simple web search
Lurus' Deep Research feature goes beyond a single web search with source citations. An autonomous agent searches multiple sources, evaluates relevance and quality, identifies contradictions and creates a structured analysis report. This is not a query with links, but comprehensive research with evaluation.
Multi-agents instead of a single chatbot
While Perplexity and ChatGPT are built on the paradigm of the single conversation, Lurus coordinates multiple specialised agents for complex tasks. This enables workflows that both individual tools cannot handle.
Clarity on data protection
No training with user data, DPA on request, European partners, complete audit logs. These four points are decisive for businesses – and available in Lurus without additional effort.
Recommendation Matrix: Which Tool for Which Need?
The following matrix provides guidance on which tool is the best choice for which use case. It is based on the strengths of each tool as described in this article.
| Use case | Recommendation |
|---|---|
| Quick personal research with source citations | Perplexity |
| Creative writing tasks, coding, general language model use | ChatGPT |
| Business use with GDPR requirements | Lurus |
| Teams with multiple users and central management | Lurus |
| Sensitive sectors: healthcare, legal, finance | Lurus |
| Multi-step workflows and process automation | Lurus |
| Research with source analysis in a business context | Lurus (Deep Research) |
| Requirement: no model training with business data | Lurus |
Lurus does not aim to be the best for everyone. Perplexity is strong for quick individual research. ChatGPT is excellent for creative individual tasks. For businesses with data protection requirements, team structures and the need for multi-step workflows, Lurus is the clearer choice.
FAQ
What is the main difference between Perplexity and ChatGPT?
Which tasks is Perplexity AI best suited for?
What should businesses review for data protection before using AI tools?
Does Perplexity have a privacy mode or enterprise offering?
Can Lurus also be used as an AI search tool?
Which tool is cheaper: Perplexity or ChatGPT?
Is ChatGPT suitable for business use?
What does Deep Research mean in Lurus?
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