Make Your Company Citable by AI Assistants

Marketing, Executive and Founder, Revenue Operations, GTM Engineering.

• Buyers arrive already shortlisted and you were not on the list.
• An assistant answers questions about your category without naming you.
• Your pricing or security answers live only in a sales conversation.

• The ten questions a buyer asks before shortlisting you
• The public pages that answer them, if any
• Your pricing, security, and integration pages
• Answers an assistant currently returns when asked about you

Best for one task. Copy it, add your information, and run it in your AI assistant.

You are an answer-engine analyst. Using the buyer questions and pages I paste below, check each question five ways: is it answerable from public pages, is the answer grounded in evidence a machine can verify, is the page easy for a machine to read, is a named human attached, and can the claim be traced back to a source. Score each question pass or fail per check, cite the page you used, and give me the fix list ordered by how many buyer questions each fix unlocks.

Buyer questions and pages:
[paste]

Best for repeatable work. The file includes the process, required inputs, decision rules, quality checks, and output format.

---
name: make-your-company-citable-by-ai-assistants
description: A checked list of what an AI assistant can and cannot answer about you, and the fixes that make it cite you instead of a competitor.
license: MIT
metadata:
  author: The Revenue AI Report
  version: 1.0.0
  last-reviewed: 2026-09-04
  source: https://www.therevenueaireport.com/skills/make-your-company-citable-by-ai-assistants
---

# Make Your Company Citable by AI Assistants

A checked list of what an AI assistant can and cannot answer about you, and the fixes that make it cite you instead of a competitor.

## When to use this skill

- Buyers arrive already shortlisted and you were not on the list.
- An assistant answers questions about your category without naming you.
- Your pricing or security answers live only in a sales conversation.

## Inputs to collect

- The ten questions a buyer asks before shortlisting you
- The public pages that answer them, if any
- Your pricing, security, and integration pages
- Answers an assistant currently returns when asked about you

## Process

1. Collect the inputs above. Thin input produces a confident, wrong answer.
2. Answerable: The buyer's question is answered in the first paragraph, not buried under setup. Agents lift the answer, not the introduction.
3. Grounded in evidence: Every claim carries a named benchmark, a date, and a source link. Adjectives do not survive a machine read.
4. Easy for a machine to read: Plain HTML with transcripts. Not trapped in a PDF, a gated form, or a page that only renders after interaction.
5. Named human attached: A real expert on every claim. Answer engines attribute to people. Faceless team bylines get skipped.
6. Trail back to the source: An agent can walk from the claim to its source without a dead end. A broken citation chain disqualifies the page.
7. Write the verdict and the next action with an owner and a date.
8. Have one person who did the work review the output before you share it.

## Decision rules

- If the answer is not on a public page, an assistant cannot cite it. Sales decks do not count.
- A claim with no verifiable source is a marketing line, not an answer.
- Attach a named human to any answer that involves judgment.
- Fix the questions buyers ask before shortlisting first, not the ones they ask after.

## Output requirements

- A question-by-check grid with the page used as evidence.
- A fix list ordered by buyer questions unlocked.
- The questions you should not answer publicly, and why.

## Quality checks

- Every pass cites a live public URL.
- No fix invents a number, a customer, or a result.
- The list separates a missing page from a badly written one.

## Limitations

- Assistant answers vary by model and by day. Treat one sample as a signal, not a measurement.
- Publishing an answer does not force a citation. It removes the reason not to cite you.

## Example input

Ten buyer questions including pricing model, security posture, CRM integrations, and implementation time. Public pages: product, about, contact. No pricing or security page.

## Example output

Six of ten questions fail the answerable check. One page, a plain-language pricing model page with a named owner, unlocks four of them. Security posture needs a source that can be verified, not a claim.

## Review checklist

- Did someone re-ask the assistant two weeks after publishing?
- Does every new page name a human?
- Are the claims ones you could defend to a customer?

## Works with

- Playbook: Evidence first content operation (L6) (marketing, L6) https://www.therevenueaireport.com/playbooks/marketing-evidence-first-content-rebuild-l6
- Playbook: Put an answer layer on the warehouse you already paid for (L4) (revops, L4) https://www.therevenueaireport.com/playbooks/answer-layer-on-warehouse-l4
- Playbook: Make conversation data do work (L3) (sales, L3) https://www.therevenueaireport.com/playbooks/conversation-data-to-work-l3
- Tool: Pinecone (Marketing & ABM) https://www.therevenueaireport.com/tools/pinecone
- Tool: Swan (Marketing & ABM) https://www.therevenueaireport.com/tools/swan
- Tool: Predis.ai (Content & Copywriting) https://www.therevenueaireport.com/tools/predis-ai
- Tool: LeadRocks (Marketing & ABM) https://www.therevenueaireport.com/tools/leadrocks
- Tool: Simplified (Content & Copywriting) https://www.therevenueaireport.com/tools/simplified

## Rules of conduct

- Write for a Director, VP, or operator. Short sentences. Explain uncommon terms.
- Separate facts from assumptions. Never hide uncertainty.
- Do not invent numbers, benchmarks, quotes, or customer names.
- Do not send messages, change CRM records, or publish anything unless the user explicitly asks.
- Flag when a decision needs human review.

## Evidence

This skill is grounded in The Revenue AI Report research:
- https://www.therevenueaireport.com/research/who-publishes-the-receipts
- https://www.therevenueaireport.com/research/citation-decay
- Related analysis: https://www.therevenueaireport.com/blog/buyers-shortlist-with-ai

- Applies the framework: https://www.therevenueaireport.com/frameworks/agent


Source and updates: https://www.therevenueaireport.com/skills/make-your-company-citable-by-ai-assistants

1. 1.Collect the inputs above. Thin input produces a confident, wrong answer.
2. 2.Answerable: The buyer's question is answered in the first paragraph, not buried under setup. Agents lift the answer, not the introduction.
3. 3.Grounded in evidence: Every claim carries a named benchmark, a date, and a source link. Adjectives do not survive a machine read.
4. 4.Easy for a machine to read: Plain HTML with transcripts. Not trapped in a PDF, a gated form, or a page that only renders after interaction.
5. 5.Named human attached: A real expert on every claim. Answer engines attribute to people. Faceless team bylines get skipped.
6. 6.Trail back to the source: An agent can walk from the claim to its source without a dead end. A broken citation chain disqualifies the page.
7. 7.Write the verdict and the next action with an owner and a date.
8. 8.Have one person who did the work review the output before you share it.

• If the answer is not on a public page, an assistant cannot cite it. Sales decks do not count.
• A claim with no verifiable source is a marketing line, not an answer.
• Attach a named human to any answer that involves judgment.
• Fix the questions buyers ask before shortlisting first, not the ones they ask after.

• A question-by-check grid with the page used as evidence.
• A fix list ordered by buyer questions unlocked.
• The questions you should not answer publicly, and why.

Ten buyer questions including pricing model, security posture, CRM integrations, and implementation time. Public pages: product, about, contact. No pricing or security page.

Six of ten questions fail the answerable check. One page, a plain-language pricing model page with a named owner, unlocks four of them. Security posture needs a source that can be verified, not a claim.

• Did someone re-ask the assistant two weeks after publishing?
• Does every new page name a human?
• Are the claims ones you could defend to a customer?

What does the Make Your Company Citable by AI Assistants skill do?

A checked list of what an AI assistant can and cannot answer about you, and the fixes that make it cite you instead of a competitor.

Who is the Make Your Company Citable by AI Assistants skill for?

Marketing, Executive and Founder, Revenue Operations, GTM Engineering. It sits at the intermediate level and takes about an hour.

What do I need before I start?

Collect these first: The ten questions a buyer asks before shortlisting you; The public pages that answer them, if any; Your pricing, security, and integration pages; Answers an assistant currently returns when asked about you.

What is the difference between the quick prompt and the SKILL.md file?

The quick prompt is for one task. Copy it, add your information, run it. The SKILL.md file is for repeatable work: it carries the process, required inputs, decision rules, quality checks, and output format so an AI assistant runs the same way every time.

What should I check before trusting the output?

Did someone re-ask the assistant two weeks after publishing? Does every new page name a human? Are the claims ones you could defend to a customer?

Is it free to use?

Yes. Every skill on The Revenue AI Report is free and published under the MIT license. Attribution is welcome, not required.

• Assistant answers vary by model and by day. Treat one sample as a signal, not a measurement.
• Publishing an answer does not force a citation. It removes the reason not to cite you.

Run the skill, then roll it out with a playbook. Vendor links are supporting context, not a recommendation.

• Playbook: Evidence first content operation (L6) (marketing, L6 L6 Rebuilt)
• Playbook: Put an answer layer on the warehouse you already paid for (L4) (revops, L4 L4 Orchestrated)
• Playbook: Make conversation data do work (L3) (sales, L3 L3 Integrated)
• Tool: Pinecone (Marketing & ABM)
• Tool: Swan (Marketing & ABM)
• Tool: Predis.ai (Content & Copywriting)
• Tool: LeadRocks (Marketing & ABM)
• Tool: Simplified (Content & Copywriting)

• Research: who publishes the receipts
• Research: citation decay
• Related analysis
• The AGENT framework, explained