Happy Eyeballs Webtester
happy-eyeballs.netHappy Eyeballs Webtester is a diagnostic tool developed by the Technical University of Munich (TUM) to evaluate client-side network behavior regarding IPv4/IPv6 dual-stack connectivity. It tests implementations of the Happy Eyeballs algorithm (versions 1, 2, and 3), including connection attempt delays, DNS resolution delays, and protocol fallback mechanisms between QUIC and TLS/TCP. The tool assists researchers and network engineers in analyzing how browsers and resolvers handle latency and protocol switching.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
DataForSEO API
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Happy Eyeballs Webtester mentions POST v3/ai_optimization/llm_mentions/search/live [ { "target": [ { "keyword": "Happy Eyeballs Webtester", "search_scope": ["any"] } ], "platform": "chat_gpt", "order_by" : ["ai_search_volume,desc"] } ]