About SignalDig

Why SignalDig exists

Growth decisions often depend on observations scattered across search demand, result pages, trends and public conversations. Collecting those observations is only the first step. They also need a shared market and language context, a visible observation time, consistent field meaning and evidence that can be reviewed.

SignalDig exists to make that research layer easier to use and harder to misread.

What we build

SignalDig combines relevant market-data dimensions around a growth question and turns them into traceable signals. The output is designed to help a person or AI agent understand:

• what was observed;
• where and when it was observed;
• what supports or contradicts the proposed direction;
• how confident the interpretation should be;
• what should be validated next.

Agent Skills provide open, reusable research workflows. SignalDig MCP provides authenticated access to current data capabilities. These are separate layers so the workflow can remain inspectable while the data service evolves independently.

Who it is for

We are designing SignalDig for independent builders, small growth teams, content and SEO practitioners, and teams that need reliable market context inside AI-assisted workflows.

Our evidence boundary

SignalDig helps discover external market opportunities. It does not replace first-party analytics, customer interviews, revenue records or professional judgment. Any proposed direction should be validated in the official systems that record the real outcome.

We do not publish invented customer stories, usage figures or growth claims. Examples are marked as illustrative when they are not production data.

Current stage

SignalDig is in early development. Product capabilities, access conditions and supporting documentation will change as the service is tested. Material changes will be reflected in this website and its policy pages.

Contact

Support and legal contact options will be shown through the official SignalDig service as they become available. Until then, do not send sensitive personal information through public repositories or social channels.