AI Data Stream now stores your analytics data in private SQL tables and computes every sum, average and comparison with SQL — so the numbers in your answers are exact, not estimated.
Read morePrompt presets give the AI a personality. Property Context gives it the facts about each site - injected into every conversation, no lookup required.
Read moreAI models know what analytics metrics are. They don't know what they mean for your business. The knowledge base bridges that gap.
Read moreThe system prompt is the difference between an AI that hallucinates plausible nonsense and one that stays grounded in your actual data. Here's how they work, and what good analytics prompts look like.
Read moreWith BYOK pricing, you control your AI costs directly. Here are practical ways to keep them minimal - from picking the right model to managing conversation context.
Read moreClaude, ChatGPT, Gemini, and Perplexity all search the web differently - and they don't all use Google. Here's what actually drives AI search visibility and what you can do about it.
Read moreVague questions get vague answers - and with BYOK AI tools, they cost more too. Here's how to ask your analytics AI questions it can actually answer.
Read moreConnect your GitHub repository to AI Data Stream. Correlate deployments, releases, and commits with your analytics data. Available on Pro and Business plans.
Read moreTraffic dropped around the time of a Google core update? Before you start making changes, here's how to actually confirm whether the update hit your site - and what to look at in GSC and GA4.
Read moreGA4 and Google Search Console almost never show the same traffic numbers - and that's completely normal. Here's why they differ and when you should actually worry.
Read moreChat with your Google Analytics, Search Console, and Google Ads data using your own AI. No markup on API costs, no usage limits, no surprise price hikes.
Read moreGA4 tells you traffic dropped, but not why. Learn how to diagnose traffic changes by cross-referencing Search Console, checking algorithm updates, and adding context that makes the data make sense.
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