Uber Engineering · Media publishing
What AI says about Uber Engineering in Media publishing
24 mentions · 12 prompts · last seen Oct 10, 2026
Prompts in this category
Brands:Stripe,
Cloudflare Blog,
Github Blog,
Vercel Blog
Brands:Netflix Techblog,
Uber Engineering,
Stripe,
Linkedin Engineering,
Slack Engineering
Brands:Cloudflare Blog,
Uber Engineering,
Netflix Techblog,
Stripe,
Dropbox Tech Blog
Brands:In Plain English,
Dev.to,
Hashnode,
Medium,
Stack Overflow Blog
Brands:High Scalability,
Netflix Techblog,
Uber Engineering,
Google Cloud
Brands:freeCodeCamp,
CSS-Tricks,
Smashing Magazine,
Logrocket Blog,Dev Community Dev To
Brands:Netflix Techblog,
Uber Engineering,
Engineering At Meta,
Cloudflare Blog,
Stripe
Brands:Codewiz,Dev.to,
Hackernoon,
Hashnode,
Stack Overflow Blog
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (24 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.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.