Review the source gaps behind an AI answer

Choose the evidence gap before writing

Narrated reference walkthrough. System-generated voice. Illustrative inputs.

0:00 The decision
This narrated reference walkthrough uses illustrative decisions, not a claimed live AI-answer baseline. The job is to understand why a buyer question is not well answered by your current evidence. Record the actual answer and cited pages, then choose the useful next action. Another article is only one possible outcome.

0:30 Record the sampling conditions
Keep the exact prompt, engine, date, location and session conditions. A brand mention and a citation are different observations. Read the actual linked page, not merely a familiar domain in a report. Repeated samples are directional because engines and conditions change; they are not a controlled attribution system for your edits.

1:00 Classify the gap
The workflow separates missing evidence, weak answer coverage, technical discovery and relevant external sources. A page cannot cite proof that the company has not established. A crawlability issue needs a technical review. An external source may need an appropriate contribution under its editorial process. The branch chooses the job before choosing the tool.

1:30 Run a supported page example
The example begins with recorded source evidence, publishable company proof and a page coverage gap. The decision is to write a page brief. That brief states the buyer decision, direct answer, useful output, sources and limitations. This reference example does not guarantee a ranking or a citation after the page goes live.

2:00 A remembered impression is not a baseline
Remove the recorded answer evidence. The example asks for a real sample first. A remembered result cannot establish which engine answered, what it cited or whether the same question was used. Keep the observation reproducible enough for the next person to inspect, and leave blank tracker rows blank until you actually run them.

2:30 Collect missing proof
Restore the sample and remove publishable evidence. The output becomes a research task. Filling the site with an unsupported answer will not solve this gap. Use actual work, a tested example, attributable field evidence or a clearly labeled reference design. Where another source has the stronger answer, cite it accurately.

3:00 Choose the external-source job
Now select an external source gap. The example creates a relevant contribution brief. It does not promise placement or invent a review. Inspect the source’s actual audience, evidence requirements and editorial process. A useful contribution should stand on its own rather than being a disguised attempt to force a brand mention.

3:30 Inspect technical discovery
Change the gap to technical discovery. Check crawlability, indexability, canonical URLs, internal links and visible text. Google’s guidance applies normal SEO requirements to AI features. There is no special schema that guarantees inclusion. Structured data should match the page, and a technically eligible page still has to be useful to the buyer.

4:00 Remove the guarantee
Finally, select a proposed citation or ranking guarantee. The example removes it and revises the brief. Measure actual query and citation observations under recorded conditions, then track resource use and commercial conversations separately. One changed answer can be useful evidence without proving that a particular content edit caused the change.

4:30 Put the decision to work
Use the open workflow and tracker to choose one defensible next action. The Hub’s source-linked search can help you find supporting resources without sending your question to an AI service. GTMhub runs source, site and distribution work through AI search and content on the company brain, with a person judging evidence and release.