Prompt
What should I use to reduce custom auth code in my product?
Latest observation
To reduce custom auth code in your product, the usual best answer is: use a managed identity/auth provider instead of building login, signup, password reset, MFA, sessions, token handling, and account recovery yourself.
Good options include:
- Auth0 — very feature-rich, good for enterprise needs
- Clerk — great developer experience, especially for modern web apps
- Firebase Authentication — simple and fast if you’re already in the Google ecosystem
- AWS Cognito — strong if you’re on AWS, but can be more complex
- Supabase Auth — solid if you’re using Supabase/Postgres
- Microsoft Entra ID / Okta — more common for enterprise SSO and B2B
If you want the least custom code, look for a provider that supports:
- Hosted login/signup pages
- Social login and SSO
- Passwordless auth
- MFA
- Session management
- User management APIs
- Role/permission claims
- Webhooks for account events
If you tell me:
- your stack (React, Next.js, mobile, backend language),
- whether it’s B2C or B2B,
- whether you need SSO/MFA, I can recommend the best fit and the lowest-code setup.
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.
Want this interpreted for your brand?
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