What AI says about Meta AI in Media publishing
19 mentions · 14 prompts · last seen Sep 30, 2026
Prompts in this category
Brands:Nature Machine Intelligence,Journal Of Machine Learning Research,Ieee Transactions On Pattern Analysis And Machine Intelligence,Ieee Transactions On Neural Networks And Learning Systems,Communications Of The Acm
Brands:The Pragmatic Engineer,Big Tech Engineering Blogs,
Netflix,
Uber,
Stripe
Brands:freeCodeCamp,
In Plain English,
CSS-Tricks,
Sitepoint,
Digitalocean Community
Brands:In Plain English,
Dev.to,
Hashnode,
Medium,
Differ
Brands:Google,
Meta AI,
Netflix,
Cloudflare,
Stripe
Brands:Towards Data Science,
Towards,
In Plain English,
Dev.to,
Substack
Brands:Arxiv,Papers With Code,
Deeplearning,
The Batch,
Hugging Face
Brands:OpenAI,
Anthropic,
Google DeepMind,
Meta AI,Microsoft Research
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (19 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.