Definition
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.
How SheetLinkWP relates to AI Analytics
SheetLink Forms includes an AI Analytics add-on 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. Both modes run on a self-hosted Nemotron model (or BYOK OpenAI/Gemini if you configure it) - no data goes to third-party LLM providers by default.