Extract public company evidence with a repeatable method

When to use it

An account or content brief needs public web evidence starts this workflow. Capture the facts needed for a decision, keep source URLs and dates, and detect when the extraction stops working. The intended output is a sourced research record and an extraction test receipt. A useful receipt names the accountable person and the next action; it should make the commercial decision easier to inspect.

This is an original GTMhub reference design. It explains how we would run the job, with tools selected for the company's existing stack. It is not presented as completed client delivery or measured commercial performance.

Inputs and decision boundaries

Confirm allowed urls, target fields, source permissions and a validation sample. Keep the original source and observed date alongside each fact. Missing context stays unknown until it is resolved. Facts, interpretations and proposed actions should remain distinguishable in the handoff.

Your company brain holds the approved rules and proof; the live system holds current account state and ownership. Read both before making an operational change. Assign an exception owner before launch so an uncertain case has somewhere useful to go.

Run the job

1. Define the specific fields and permitted pages.
2. Capture the page with a tool appropriate to its rendering.
3. Validate extracted values against the visible source.
4. Store citations, unknowns and a review date instead of guessed facts.

At the decision gate, ask: Does the extracted value match the visible allowed source? If the answer is no: mark it unknown or review the extraction rather than filling the field. Only the supported path proceeds to its output. A stopped job should preserve the reason and what would let an owner resolve it.

The output to inspect

Failure and recovery

The material failure to watch is this: changed page markup produces confident but incorrect fields. Stop that path and preserve the underlying evidence. Repairing a field or a source is different from changing the commercial rule; record which decision was made.

If a connected system fails, keep the original request or event and expose its unresolved state. Retry only the incomplete action, with a stable event key where writes are involved. Do not let a retry create a second owner task or bypass a previous exclusion.

Test before making it live

Replay a supported case, an incomplete case and the failure described above. Where the job writes a record or creates a task, replay the same event twice and inspect the result. Check that the exception owner can understand the hold reason without reconstructing every step.

Judge the result

Track accepted-field accuracy, failures and source freshness on a named sample. Record the sample, dates and definitions before evaluating a change. Operational success shows that the job behaved as designed; commercial outcomes need their own mature evidence.

Return reviewed corrections to the company brain with the decision date and rule version. Keep the original observation available. The decision register records what changed and why, while the GTM brain guide explains how the job fits into one company system.