Developer Content Distribution
9 prompts · 60 observations · last seen Sep 25, 2026
Most mentioned brands
Prompts
Brands:Medium,
Dev.to,
In Plain English,
Hackernoon,
Hashnode
Brands:Devrel,Dev.to,
Hashnode
Brands:In Plain English,
Dev.to,
Hashnode,
Medium,
freeCodeCamp
Brands:Stack Overflow,
Reddit,
Hacker News,
Y Combinator,
GitHub
Brands:Linkedin,
Quora,
Reddit,
Dev.to,
Hashnode
Brands:Docusaurus,
Astro,
Mintlify,Devhunt,
Product Hunt
Brands:Dev.to,
Hashnode,
Reddit,
Discord,
Slack
Brands:Dev.to,
Hashnode,
Indie Hackers,
X,
Bluesky
Brands:Hashnode,
Dev.to,
Hackernoon,
In Plain English,
Stackademic
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (60 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 Circuit. 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.