Fifteen Actions, Zero Keystrokes
An AI assistant needs context to help visitors effectively. Learn how our AI concierge uses a privacy-first, 15-event trail to solve visitor frustration without tracking keystrokes.
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Practical writing on AI concierges, website guidance and support that converts.
An AI assistant needs context to help visitors effectively. Learn how our AI concierge uses a privacy-first, 15-event trail to solve visitor frustration without tracking keystrokes.
When building AI features that read web pages, sending raw DOM markup is a recipe for high latency and massive API bills. Here is how we compress web pages for LLMs.
Most AI readiness checkers only test whether AI crawlers can read your site. Here are the seven checks we run to see whether visitors, and the AI tools they use, can actually get answers.
A classic chatbot answers questions in a chat window, while an AI concierge guides visitors visually by highlighting actual page elements to help them complete tasks.
Feeding raw HTML to language models wastes budget on markup noise rather than actual content. Learn how to optimize your AI pipeline for better accuracy and lower latency.
Modern UX patterns often hide vital information like return policies and sizing charts behind tabs and accordions. This design choice makes key content invisible to AI scrapers.
LLM-based assistants don't experience your website like humans do. Learn what gets lost in translation when AI crawlers scrape your pages and how to fix it.