AnswerLine

Built AnswerLine after spending too long scraping AI answers by hand for brand monitoring. It returns what ChatGPT, Gemini, Copilot, AI Mode, AI Overview and Google News actually answer — real answers with cited sources, not guesses from model weights. Sync + batch endpoints, per-country, and an MCP server so assistants can query it directly. Failed lookups are free. Happy to answer anything about how the engines differ.

This is exactly the kind of tracking we've been doing by hand: asking the same set of questions every month and noting whether we get named or cited. AI answers vary a lot between runs, so how do you handle that? Do you sample a prompt several times and report how often a brand shows up, or is it one answer per call?

For the async monitoring endpoints, does the JSON distinguish a successful answer with no brand mention from a failed lookup or an engine that returned no answer? Keeping those states separate would help avoid interpreting missing data as a drop in visibility.