How to Compare AI Companion Data Retention Policies in 2026

How do you build a retention comparison worksheet?

Use identical columns for each provider so a polished privacy page cannot win through wording alone.

1. Create columns for collected data, purpose, retention period, sharing, training or improvement use, user controls, deletion, backups, export, billing and support.
2. Add a risk column for the actual workflow you plan to use: casual chat, long-term memory, images, voice, journaling or relationship support.
3. Write “not stated” when the policy does not answer a question. Do not convert silence into “not collected” or “deleted.”
4. Record the policy title, URL and access date because provider terms can change.
5. Set a personal stop rule before comparing: for example, no service that requires intimate uploads or cannot explain account deletion.

Expected result: every provider receives the same questions, and unknowns remain visible. A simple spreadsheet or offline note is enough; do not paste the policy or your private conversations into another AI tool for summarization.

How do you check what the service collects and why?

Read collection and purpose sections together, then match each category to the feature you intend to use.

1. Start with account data: email, sign-in provider, age or location information and recovery details.
2. Look separately for conversation content, saved memory, uploaded files, images, voice, transcripts and feedback.
3. Check device, log, cookie and analytics language; these may be distinct from the content of the conversation.
4. For each category, record the stated purpose: providing the service, safety, support, analytics, personalization, advertising or improvement.
5. Ask whether a feature is optional. If a voice companion needs microphone access, compare the permission with your intended use rather than granting every request.

Expected result: you know which data is necessary for the feature and which is incidental. The FTC notes that websites and apps may collect information through activity, permissions and tracking technologies, so review device controls as well as the provider's policy.

How do you compare retention and deletion language?

Separate chat deletion, memory deletion, account closure and backup retention; they are not automatically the same action.

1. Search the policy and help pages for “retain,” “delete,” “erase,” “backup,” “legal,” “security,” “fraud,” “support” and “de-identified.”
2. Record whether the provider gives a period, a process, a trigger or only broad language such as “as long as necessary.”
3. Check whether deleting a conversation also removes saved memory, uploads, public shares, support tickets and derived profile information.
4. Read exceptions carefully. Backups, legal obligations, abuse prevention, billing records or anonymized data may follow a different lifecycle.
5. Record how you receive confirmation and who to contact if a request is incomplete.

Expected result: you can describe exactly what you expect to disappear and what may remain. Never promise yourself that a delete button removes every provider-side copy unless the current terms say so clearly.

How do you check sharing and AI improvement uses?

Look for named recipients, purposes and choices instead of assuming “private” means “never processed elsewhere.”

1. Record whether service providers process hosting, payments, analytics, moderation, customer support or communications.
2. Check wording about training, model improvement, human review, quality evaluation and feedback.
3. Note whether an opt-out is available, where it applies and whether it changes existing data or only future submissions.
4. Check international transfer, public sharing and connected-account language when those risks matter to you.
5. Ask support a narrow question if the policy is ambiguous, and keep the answer with the policy version and date.

Expected result: you have a documented answer for who may handle the data and for what reason. A provider can be suitable for fictional roleplay while being unsuitable for private journaling; make the decision by use case.

How can you test privacy controls without exposing a secret?

Use synthetic content that has no connection to your life, then test recall, correction, deletion, export and public visibility.

1. Create a harmless test fact, such as “The fictional character prefers green tea on Tuesdays,” and label it as a test in your own notes.
2. Use the service's normal chat and memory controls, if available, and record what the interface says will happen.
3. Start a new session and ask a neutral question to see whether the fact is recalled; do not test with a real address, password or relationship detail.
4. Edit or delete the test fact, then repeat the check and note whether the old value still appears.
5. Request or inspect an export if the provider offers one, and check logged-out pages or share links for accidental public exposure.

Expected result: you learn what the visible controls do in practice without sacrificing sensitive data. One test is not proof of a provider's entire backend lifecycle; treat it as evidence about the user-facing control and keep the policy review.

How should cost and account closure affect the comparison?

Compare privacy at the price and feature level you will actually use, then verify billing and deletion separately.

1. Test the least expensive path before upgrading. Record whether memory, media, voice or export changes at each plan level.
2. Check whether a trial or subscription affects retention, human review, advertising or the ability to use deletion controls.
3. Identify the billing channel and write down renewal timing, cancellation steps and the receipt location.
4. Before closing an account, export only what you need, remove unnecessary chats and save the provider's deletion instructions.
5. After closure, test public links, sign-in, billing notices and support contact. Request a specific deletion status if the result is unclear.

Do not pay for “privacy” based on a badge or affiliate placement. Our methodology treats privacy, chat, memory, media and value as separate comparison factors, and editorial scores are not determined by affiliate relationships.

When should you reject a provider or switch tools?

Reject the service when its unknowns are larger than your tolerance or its controls cannot support the data lifecycle you need.

Stop before signup when there is no accessible privacy policy, the policy does not cover the feature you need, sensitive uploads are mandatory, deletion is only described as a general request with no process, or the service asks for permissions that do not fit the workflow. Switch after signup when the provider changes terms in a way you cannot accept, a test reveals unwanted recall, support cannot answer a narrow deletion question or billing and account controls are difficult to verify.

For threats, blackmail, stalking or suspected fraud, preserve only the evidence you need, use the platform's safety tools and seek trusted human or professional help. Do not use an AI companion to investigate a person or store more sensitive evidence.

Summary: compare the whole data lifecycle

Record collection, purpose, sharing, retention, deletion, backups and controls in the same worksheet, then test with synthetic content before paying.

A clear policy is useful only when it matches the controls you can actually use. Keep unknowns visible, avoid sensitive uploads until the answers are good enough and revisit the policy when the product, plan or feature changes.