The AI Privacy Comparison Every Business Needs to See

One of the most common questions we get from companies planning to deploy AI is: What happens to the data we put into these tools?

It is consistently a top concern, and for good reason. In 2025 alone, we saw about 4,500 ChatGPT conversations show up in Google search results¹⁵, over 370,000 Grok chats get indexed without users knowing¹⁷, and Meta AI's "Discover" feed broadcast private conversations about medical conditions, legal disputes, and personal confessions to anyone who scrolled by²⁰.

So I put together this comparison to help answer the question clearly. We looked at the privacy policies, terms of service, and documented practices of 11 major LLM platforms, ordered by estimated monthly active users where available. This matters because training data is foundational to what an AI model can and cannot do—if your data is being used to train other companies' models, there are implications beyond privacy.

The short answer: On consumer tiers, yes, these companies use your chats for training, safety review, and in some cases advertising. On enterprise tiers, the answer is generally no, with contractual guarantees and compliance certifications. Opt-outs are available on most consumer platforms, but the defaults work against you.

The details matter, though. Here's the full breakdown.

The AI Privacy Comparison Table

Notes: All platforms default to training ON at consumer signup. Claude prompts users to choose a training preference during account creation (as of October 2025), but chats can still be used for training unless the user opts out.¹ MAU figures are from late 2025/early 2026 sources.² "N/A" for Meta AI enterprise means Meta does not offer a standalone enterprise AI chatbot product; Llama models can be self-hosted.³ "3rd-Party Sharing" refers to sharing user chat data with third parties for those parties' own purposes (advertising, marketing, resale), not standard service providers.⁴

Key Findings

Every platform uses your consumer chats for something. Model training, safety review, or both. There are no exceptions. The only variable is how much control you get over it.

The consumer-enterprise split is stark. Every Western platform (OpenAI, Google, Anthropic, xAI, Perplexity, Microsoft) flips from training ON to training OFF when you move to an enterprise tier. The Chinese platforms (DeepSeek, Kimi, Qwen, Baidu Ernie) either don't offer that guarantee or don't document it clearly.

Shared chat links are a real risk, and the privacy treatment changes the moment you share. Most platforms create a public URL when you hit "Share." That URL does not require a login. If it's public, it's findable, whether by a search engine, a colleague, or someone with a cached link. The specific incidents matter less than the design:

• ChatGPT: Creates public URLs. Added noindex tags after the July 2025 incident (~4,500 indexed chats, 100K+ archived on Internet Archive before the fix²⁴). The "Make this chat discoverable" toggle is gone, but shared links remain public and accessible to anyone with the URL.
• Grok: Creates public URLs. Added noindex tags after the August 2025 incident (370K+ indexed chats¹⁸). No user warning existed before the fix. Musk had mocked OpenAI's incident with "Grok FTW" weeks before his own platform had the same problem, but worse.
• Meta AI: The Discover feed publishes shared conversations publicly by design¹⁹. Search engines index them. Meta says this is intentional and has no plans to change it. Voice queries are included. Users have broadcast medical conditions, legal disputes, and tax situations without realizing it²⁰.
• Google Gemini: Creates what Google explicitly calls a "public link."²⁷ Anyone can view, reshare, or continue the conversation. Workspace (enterprise) accounts cannot create public links. Google removed Bard chat indexing in 2023 but the consumer sharing feature still creates public URLs.
• Perplexity: Shared threads create public URLs. Perplexity Pages are public and may be indexed by search engines³⁰. Enterprise plans can restrict sharing to org-only.
• Claude: Creates shareable links for Free/Pro/Max users, but with noindex in place and attached files and MCP tool data excluded from the shared snapshot²⁸. Team and Enterprise users can only share within their organization. This is the most restrictive sharing model among platforms that offer sharing.
• Microsoft Copilot: Does not offer public share links for consumer chats. Enterprise sharing goes through Teams and SharePoint with access controls. This is the only major platform that avoids the public URL problem entirely.

Claude comes out cleanest overall. No ad targeting, no third-party sharing on either tier, and the most restrictive sharing model (noindex, files excluded, org-only on enterprise). Google Gemini is close on the data practices (no ads, no third-party sharing), but its consumer sharing creates fully public links that anyone can view and continue.

Meta AI is the only platform using AI chats for ad targeting at scale. As of December 2025, Meta uses chat data for ad personalization across its platforms, with no full opt-out available¹⁹.

Chinese platforms carry additional risk. DeepSeek, Kimi, Qwen, and Baidu Ernie all store data in China (or through Chinese parent companies), subject to the National Intelligence Law requiring cooperation with government security requests. Enterprise-grade "no training" commitments comparable to Western platforms have not been documented.

What This Means for Your Business

If you're deploying AI tools for your team, the enterprise tier is not optional. It's the minimum. Consumer plans on any platform expose your data to training pipelines, human reviewers, and in some cases ad networks and third-party partners.

None of this is entirely new. Search engines have logged our queries and clicks for 25 years. But the depth of data is different now. A search query is a few words. An AI conversation might include your entire contract, your financial model, or your proprietary codebase. The data capture is orders of magnitude deeper than anything a search box ever collected.

The specific platform matters less than the tier. A ChatGPT Enterprise account is private. A ChatGPT Free account is not. Same product, completely different data treatment.

To be clear: the dividing line isn't price, it's plan type. On ChatGPT for example, individual plans (Free, Plus, Pro) train on your data by default. Organizational plans (Team/Business, Enterprise, Edu) and the API do not. Most platforms follow this same pattern.

And train your people on the share button. On most platforms, the moment you share a chat, it becomes a public URL. No login required. If it's on the public web, it's findable. Noindex tags help, but they're not a guarantee. The only way to keep a conversation private is to not create a public link in the first place.

Sources

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Stefanos Damianakis is the founder of Zaruko LLC, a management advisory firm that helps mid-market companies with AI transformation and technical leadership. He holds a PhD in Computer Science from Princeton and previously co-founded Netrics, an enterprise ML company acquired by TIBCO.