Prompt
Do I need to support passkeys on both iPhone and Android?
Latest observation
If you want broad passkey adoption, yes — ideally support both iPhone and Android.
A few practical points:
- Passkeys are cross-platform, but users typically save them in their phone’s ecosystem:
- iPhone users often store passkeys in iCloud Keychain
- Android users often store passkeys in Google Password Manager or another credential manager
- If you only support one mobile platform well, you’ll exclude a large share of users on the other one.
- Many users also sign in on laptops/desktops, so it’s best if your implementation supports:
- iPhone and Android
- macOS and Windows browsers
- fallback options for account recovery / unsupported devices
Recommended approach
- Implement passkeys using the WebAuthn / FIDO2 standard
- Let the platform and browser handle the credential manager
- Make sure your login flow works on:
- Safari on iPhone
- Chrome on Android
- Safari/Chrome/Edge on desktop
Bottom line
You don’t need to build separate passkey systems for iPhone and Android, but you should support both so users can create and use passkeys regardless of their device.
If you want, I can also outline a minimum passkey support matrix for iOS, Android, and desktop.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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