Comparison 14 min read ·

Perplexity vs. ChatGPT 2026: Which AI Tool Fits Your Business?

Perplexity and ChatGPT have different strengths. For private users and quick individual research, both are strong tools. For businesses, however, questions arise that go beyond features – particularly regarding data protection, compliance and team functions.

Lurus – AI platform from Germany

Lurus Team

April 14, 2026

AI Comparison 2026

Perplexity vs. ChatGPT for Businesses

Strengths, limits and what really matters

Perplexity
vs.
ChatGPT

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?
Perplexity AI specialises in real-time web search with source citations. It searches the internet with every query and directly indicates the sources of its answers – ideal for current research. ChatGPT is a general language model with a broad range of applications: text creation, analysis, coding and much more. ChatGPT can also access the web, but the focus is on text generation rather than source research.
Which tasks is Perplexity AI best suited for?
Perplexity is particularly suited for tasks where current information and source citations are decisive: news research, fact-checking, quick orientation on a new topic, summarising recent developments. For creative tasks, complex text production or multi-step workflows, ChatGPT or a specialised platform like Lurus is the better choice.
What should businesses review for data protection before using AI tools?
The following questions are decisive: Are user inputs used for training AI models? Is there a data processing agreement under Art. 28 GDPR? Where is data processed – within the EU or in third countries? Are there audit logs for traceability? Lurus answers these questions clearly: no model training with user data, DPA on request, European partners, complete audit logs.
Does Perplexity have a privacy mode or enterprise offering?
Perplexity offers an enterprise product (Perplexity Enterprise Pro) with enhanced privacy options, including the ability to disable training based on user data. Businesses should review the current Perplexity privacy policy and seek legal advice before using the tool for sensitive business data.
Can Lurus also be used as an AI search tool?
Yes. Lurus offers Deep Research, a feature that conducts comprehensive research across multiple sources, evaluates information and creates structured analysis reports. The difference from Perplexity: Deep Research in Lurus is embedded within a complete AI workflow and can be combined with other agents, documents and tool integrations.
Which tool is cheaper: Perplexity or ChatGPT?
Perplexity Pro costs $20 per month. ChatGPT Plus also costs $20 per month. For teams, it is worth looking at the respective business offerings. Lurus starts from €12 per month for individual users and €29 for teams of 5 users.
Is ChatGPT suitable for business use?
ChatGPT offers ChatGPT Team and ChatGPT Enterprise for business use, including enhanced privacy options and team management. Businesses should review the privacy policy and DPA of the respective version. For businesses with strict GDPR requirements or the desire for a solution processing entirely in Europe, Lurus is a clearly positioned alternative.
What does Deep Research mean in Lurus?
Deep Research is a feature in Lurus where an autonomous AI agent conducts comprehensive research on a topic: multiple web sources are evaluated, relevant information is filtered and a structured report is created. The difference from a simple web search: the agent evaluates sources, identifies contradictions and summarises the state of knowledge coherently.

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