Open research utility · v1.0

Prompt–source gap triage for AI-answer research.

Convert a frozen prompt set and human-observed source roles into a transparent editorial queue. The utility runs entirely in your browser and never treats one AI answer as a stable ranking.

Worked example: the preloaded prompts, brands, engines, and observations are synthetic. Replace them with your own dated observations before drawing conclusions.

1. Paste the observation matrix

One row per prompt. Use a semicolon between observed roles.

Supported intents: discovery, comparison, implementation, validation. Supported roles: definition, evidence, comparison, implementation, validation.

2. Review the gap queue

Priority is a transparent heuristic, not a forecast.

0valid prompts
0missing roles
0role-complete prompts
Run the synthetic example to create a prioritized queue.

Methodology

This is a planning instrument for researchers and editors. It separates the observation record from the prioritization rule so another person can reproduce—or challenge—the queue. Start with the general AI answer evidence observation ledger, test one JSON object with the citation occurrence row checker, check a full CSV with the ledger validator, then apply the versioned AI answer source-role taxonomy before scoring gaps. For a worked vertical protocol, read the source-role audit for local service businesses. Teams comparing reporting platforms can use the AI visibility tool evaluation scorecard, while citation analysts can clean exported sources with the AI citation URL normalizer.

1 · Freeze prompts

Assign stable IDs and preserve the exact language used for each research run.

2 · Observe manually

Record only source roles actually visible in a dated answer snapshot.

3 · Identify gaps

Compare observed roles with the intent-specific responsibility set below.

4 · Validate editorially

Investigate a gap before publishing; relevance and evidence quality outrank the score.

Source roleOperational definitionExample asset class
DefinitionExplains the entity, category, or term without assuming prior knowledge.Glossary, product facts, category explainer
EvidenceSupports a factual claim with traceable data, method, or primary documentation.Dataset, methods note, benchmark
ComparisonStates the dimensions and trade-offs needed to compare approaches fairly.Decision framework, alternatives guide
ImplementationShows how a reader can perform, test, or reproduce a workflow.Tutorial, checklist, integration guide
ValidationProvides independent or falsifiable corroboration beyond a publisher's own claims.Third-party review, audit, replication