Prompt

I’m unhappy with Google Sign-In as my only login option

Technology / Identity & Access2 observationsLast seen Oct 9, 2026

Latest observation

Oct 9, 2026OpenAI APIWeb search: off

That’s understandable. Requiring only Google Sign-In can be a bad fit for a lot of people, for reasons like privacy, work/personal account separation, account lockout risk, or simply not wanting to use Google.

A better login setup usually offers at least one or more of these:

  • Email + password
  • Magic link to email
  • Passkeys
  • Sign in with Apple, Microsoft, or GitHub
  • Phone number login
  • SSO for work accounts

If you’re looking for what to do next, you could:

  1. Check whether the service supports another sign-in method in account settings or help docs.
  2. Look for “forgot account” or “link another login method” options.
  3. Contact support and ask them to add or enable non-Google login.
  4. If you’re building a product, I can help you design a better authentication flow.

If you want, I can help you either:

  • find alternatives to Google Sign-In for a specific app/site, or
  • draft a message asking the service to add another login option.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations 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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