What is AI Analytics?

AI analytics is the use of machine learning - particularly large language models - to process raw data and produce summaries, categorizations, and recommendations automatically. Traditional analytics shows you charts and lets you interpret them. AI analytics reads the data, identifies the story, and tells it to you in natural language.

For unstructured data like form submissions, support tickets, or reviews, AI analytics shines because it can parse meaning out of freeform text. Rule-based analytics struggles with "we are growing fast and need a solution soon" - AI analytics identifies this as high intent and routes it accordingly.

SheetLink Forms includes an AI Analytics feature that operates in two modes. The aggregated mode runs a weekly job against your form submissions sheet and produces a natural-language brief: top lead sources, conversion trends, surprising patterns, and recommended follow-up priorities - the model sees only anonymized aggregates. The per-submission mode (optional toggles for sentiment classification, one-sentence summary, and categorization) analyzes each new submission as it arrives and appends the result to your sheet; this mode does send individual submission field values to the inference model, with contact details stripped on your own server first - names and phone numbers replaced with a placeholder, email addresses reduced to their domain, and numbers or addresses inside free text redacted in place. Both modes run on OpenAI models via the OpenRouter gateway with Google Gemini as automatic failover and a self-hosted model as a last resort (or on your own OpenAI/Gemini key with BYOK) - the providers are disclosed as sub-processors in our privacy policy, and their API terms exclude training on your data.