Map the prompts that shape the shortlist

You are assisting a human B2B SaaS SEO and AEO operator with Module 05: Map the prompts that shape the shortlist.

Current lesson: Build prompt archetypes
Objective: Start with repeatable question shapes.
Required artifact: Prompt universe

BUSINESS CONTEXT I WILL PROVIDE
- Product, category, target market, pricing model, sales motion, and geography
- The priority customer segment and the commercial outcome for this 90-day cycle
- Seed prompt library exported from Gong / CRM / support
- Captured answer set exported from ChatGPT / Gemini / Perplexity
- Definitions for any internal fields, stages, scores, and abbreviations

TASK
1. Create archetypes for explain, solve, recommend, compare, alternative, validate, implement, and troubleshoot.
2. Add the buyer role, company context, constraint, and desired outcome to each archetype.
3. Keep prompts natural; avoid inserting your brand into discovery prompts.
4. Seed: Start with demand families, call questions, reviews, RFPs, and customer tickets.
5. De-duplicate: Keep prompts that test meaningfully different answer conditions.

REQUIRED OUTPUT
Return a table using these exact columns: Seed question | Source | Buyer role | Stage | Observed frequency | Priority.
For every recommendation, cite the source row, URL, call note, or data point that supports it.
Add a confidence column in your analysis: High, Medium, or Low.
List missing evidence separately instead of guessing.
Finish with a section named HUMAN DECISIONS REQUIRED.

RULES
- Do not invent search volume, revenue, customer statements, product capabilities, or competitor facts.
- Do not treat correlation as causation.
- Preserve contradictory evidence and explain why it conflicts.
- Do not make the final priority or publishing decision. Prepare the evidence for a human owner.
- Use this example only as a format reference, not as evidence: “Recommend reporting platforms for a 15-person agency that needs white-label dashboards and HubSpot data.”

You are assisting a human B2B SaaS SEO and AEO operator with Module 05: Map the prompts that shape the shortlist.

Current lesson: Add meaningful variations
Objective: Small wording changes can produce different shortlists and sources.
Required artifact: Prompt universe

BUSINESS CONTEXT I WILL PROVIDE
- Product, category, target market, pricing model, sales motion, and geography
- The priority customer segment and the commercial outcome for this 90-day cycle
- Captured answer set exported from ChatGPT / Gemini / Perplexity
- Prompt expansion exported from People Also Ask / forums
- Definitions for any internal fields, stages, scores, and abbreviations

TASK
1. Vary one dimension at a time: company size, industry, role, budget, integration, geography, or risk.
2. Create follow-ups that ask why, what evidence supports the choice, and which option does not fit.
3. Separate branded validation prompts from unbranded discovery prompts.
4. Parameterize: Vary role, company type, size, stack, location, constraint, and urgency.

REQUIRED OUTPUT
Return a table using these exact columns: Base prompt | Role | Company type | Constraint | Stack | Geography | Variant.
For every recommendation, cite the source row, URL, call note, or data point that supports it.
Add a confidence column in your analysis: High, Medium, or Low.
List missing evidence separately instead of guessing.
Finish with a section named HUMAN DECISIONS REQUIRED.

RULES
- Do not invent search volume, revenue, customer statements, product capabilities, or competitor facts.
- Do not treat correlation as causation.
- Preserve contradictory evidence and explain why it conflicts.
- Do not make the final priority or publishing decision. Prepare the evidence for a human owner.
- Use this example only as a format reference, not as evidence: Follow-up: “Which of those tools is easiest for non-technical account managers, and what evidence supports that?”

You are assisting a human B2B SaaS SEO and AEO operator with Module 05: Map the prompts that shape the shortlist.

Current lesson: Tag commercial importance
Objective: Not every prompt deserves equal attention.
Required artifact: Prompt universe

BUSINESS CONTEXT I WILL PROVIDE
- Product, category, target market, pricing model, sales motion, and geography
- The priority customer segment and the commercial outcome for this 90-day cycle
- Prompt expansion exported from People Also Ask / forums
- Prompt baseline exported from Citation tracker
- Definitions for any internal fields, stages, scores, and abbreviations

TASK
1. Tag stage: explore, shortlist, validate, or implement.
2. Score product fit, revenue proximity, answer volatility, and current visibility from 1-5.
3. Choose a stable tracking set of 30-50 prompts and a larger research set for discovery.
4. Chain: Add the likely follow-up after each first answer.
5. Map: Assign an owned asset and a trusted-source opportunity to every Tier 1 family.
6. Freeze baseline: Record exact prompt, engine, model/surface, location, date, and account state for repeatability.

REQUIRED OUTPUT
Return a table using these exact columns: Opening prompt | Answer need | Likely follow-up | Decision stage | Expected evidence | Target asset.
For every recommendation, cite the source row, URL, call note, or data point that supports it.
Add a confidence column in your analysis: High, Medium, or Low.
List missing evidence separately instead of guessing.
Finish with a section named HUMAN DECISIONS REQUIRED.

RULES
- Do not invent search volume, revenue, customer statements, product capabilities, or competitor facts.
- Do not treat correlation as causation.
- Preserve contradictory evidence and explain why it conflicts.
- Do not make the final priority or publishing decision. Prepare the evidence for a human owner.
- Use this example only as a format reference, not as evidence: A shortlist prompt for your core segment is Tier 1; a broad definition prompt is usually Tier 3.

You are assisting a human B2B SaaS SEO and AEO operator with Module 05: Map the prompts that shape the shortlist.

Current lesson: Map prompts to assets
Objective: Every priority prompt needs an answer plan.
Required artifact: Prompt universe

BUSINESS CONTEXT I WILL PROVIDE
- Product, category, target market, pricing model, sales motion, and geography
- The priority customer segment and the commercial outcome for this 90-day cycle
- Prompt baseline exported from Citation tracker
- Seed prompt library exported from Gong / CRM / support
- Definitions for any internal fields, stages, scores, and abbreviations

TASK
1. Name the page that should answer the prompt and the third-party evidence an engine may need.
2. Identify missing comparisons, definitions, proof, and source coverage.
3. Send on-site gaps to Modules 03/07 and off-site gaps to Module 08.
4. Classify: Tag stage, archetype, importance, expected brands, and evidence requirement.

REQUIRED OUTPUT
Return a table using these exact columns: Prompt family | Commercial value | Role coverage | Current visibility | Asset match | Tier | Owner.
For every recommendation, cite the source row, URL, call note, or data point that supports it.
Add a confidence column in your analysis: High, Medium, or Low.
List missing evidence separately instead of guessing.
Finish with a section named HUMAN DECISIONS REQUIRED.

RULES
- Do not invent search volume, revenue, customer statements, product capabilities, or competitor facts.
- Do not treat correlation as causation.
- Preserve contradictory evidence and explain why it conflicts.
- Do not make the final priority or publishing decision. Prepare the evidence for a human owner.
- Use this example only as a format reference, not as evidence: Prompt -> comparison page, G2 category presence, two customer reviews, and a clear fit table.