Does Better AI Companion Personalization Require Sharing More Personal Data?
If you want one useful dinner idea for tonight, start by giving the AI only the ingredients you have and one preference, such as “vegetarian” or “under 20 minutes.” Try that before connecting an app. The practical question is whether access to a connected account noticeably improves this particular answer enough to justify what the connection exposes—and whether you know how to stop and clean up each route.
Choose one task before changing a setting
Personalization is most useful to evaluate against a concrete task, not a vague hope that the AI will “understand me better.” For this trial, use one ordinary task: **recommend one dinner for tonight using ingredients already at home**. Keep the request the same in each route, and judge the answer by whether it suggests a meal you would actually consider, uses the ingredients you named, and avoids follow-up questions you could easily answer yourself.
This is editorial guidance for comparing ways of providing context. It is not a feature of any particular app, and products differ in what they can access, remember, or delete. Don’t connect an account simply to run the comparison; the no-connection and narrow-fact routes may already be enough.
Compare three routes using the same dinner request
Route: No connected app — What you provide or expose: Ask for a dinner idea without naming ingredients. — What to check in the answer: Is the answer too generic to be useful? If so, that shows what information the task needs.
Route: One manually supplied fact — What you provide or expose: Name two or three ingredients and one relevant preference: “I have chickpeas, tomatoes, and rice; suggest a vegetarian dinner that takes about 30 minutes.” — What to check in the answer: Does that small amount of context make the recommendation noticeably more relevant?
Route: Connected-app route — What you provide or expose: If the product offers a connection that could surface relevant information, check its permission and data-use descriptions before enabling it. For this task, consider whether access to purchase records or other account data would add anything you could not simply type. — What to check in the answer: Does it use relevant information you would otherwise have to look up or enter—and is the improvement worth the additional access?
Use the same ingredients, preference, and wording for any repeated comparison. A response that happens to be more appealing once is not proof that broad access improved it; generated answers can vary. Look for a practical difference: fewer details to enter, fewer corrections, or a recommendation that fits constraints you did not manually provide. If you cannot name the difference, you have little task-specific reason to keep the connection on.
A product example: Google Gemini
Google’s help pages illustrate why “connected apps” is not one narrow data point. For eligible users, Google describes connecting data from services that can include Workspace, Search services, Contacts, Wallet, Photos, and YouTube. It says connected data may include emails, files, events, photos, contact details, payment information, location information, and insights drawn from them; future data added to connected services may also be accessible. The available services and eligibility conditions vary. [Google’s explanation of personalization with Connected Apps](https://support.google.com/gemini/answer/16836988?hl=en) is a product-specific example, not a description of every AI companion.
The same page says Gemini Apps Activity can include data from connected apps, and that disconnecting an app or deleting data in a connected service does not delete that information from Gemini Apps Activity. It also says deleting Gemini Apps Activity does not delete data in other services, and that changes to connected-app data may take days to affect the Gemini experience. Those are distinct places to check when reviewing this particular product; other products may have different controls.
Google separately documents personalization using memory of past Gemini chats. Its help page says the feature requires a personal Google Account, age 18 or over, and Keep Activity turned on, and notes that availability varies by account, feature, and platform. It describes turning memory off and finding or deleting past chats in Gemini Apps Activity. The page also says deletion may take a short time to affect personalization. This is another reminder to distinguish remembered chat context from connected-account data. [Google’s memory of past Gemini chats guidance](https://support.google.com/gemini/answer/16598469?co=GENIE.Platform%3DDesktop&hl=en) applies to Gemini’s documented controls, not universally.
When the extra access may—and may not—help
For the dinner task, a manually typed ingredient list is a strong baseline: it gives the system the information that changes the recommendation. Imagine a fictional user asks for a simple tomato-and-chickpea dinner. The recipe does not require reading their emails or photos. If they already know what is in the kitchen, granting access to those sources may add no noticeable value for this request.
A connected source could be more convenient if the needed information is genuinely there and the system can use it: for example, if you do not know what ingredients you bought and the relevant purchase record is in an app the assistant can access. But that is a conditional possibility, not a promised result. A receipt may not show what remains in the cupboard, and the connection may cover much more data than one receipt. Check the product’s exact scope and data-use terms; don’t assume “personalization” means access only to the detail relevant to this one answer.
The useful comparison is therefore not “personalized versus unpersonalized.” It is: **What specific extra fact could this connection supply, and would that fact change the recommendation enough to matter?** If you cannot identify that fact in advance, test with the narrow manual route first.
Stop and erase the route you tried
Controls differ by product, so use the service’s own current settings and help pages rather than assuming one universal deletion button. For Google Gemini, the cited help pages describe the following separate actions; menu names and availability can change:
**No connected app:** There is no app connection from this route to disconnect. If you entered the request in a chat and want to remove that chat, use Gemini Apps Activity or the chat controls described in Google’s help. For other services, find their chat-history controls. Deleting a chat is different from deleting data in a source app.
**One manually supplied fact:** Remove the chat containing the fact from the service’s history or activity controls if you do not want it retained there. If the product has a separate memory feature, check and manage that setting too. In Gemini, Google says deleting chats containing information it remembered is the way to delete that remembered information, and notes there can be a delay before personalization changes.
**Connected app:** Turn off or disconnect the specific app in the product’s connected-app controls. Then separately review and delete relevant AI chat/activity records if you want to remove copies or summaries held there. For Gemini, Google explicitly says disconnecting alone does not remove data from Gemini Apps Activity; deleting that activity does not erase data in the connected Google service. Manage source-app data there separately, and allow for the delay Google documents.
Before connecting anything, note where the connection is managed and where activity is managed. Afterward, verify both controls instead of treating “disconnect” as synonymous with “erase everywhere.” Keep confidential or unnecessary details out of the trial, especially when the product’s stated data use is broader than the task you are testing.
A simple decision rule
For one dinner recommendation, try the no-connection prompt, then add only the ingredients and preference that make the answer usable. Keep the connection off if that small addition solves the task and you cannot point to a meaningful improvement from broader access. Consider a connection only when it supplies a specific, relevant detail you would otherwise have to retrieve or enter, the product’s scope is acceptable to you, and you understand how to disconnect it and manage associated activity.
Repeat that decision for the next task rather than treating one useful answer as a reason to share more data for every conversation. The right amount of context is the amount that makes the task work for you, with controls you can locate and use.