Hire an AI citation visibility planner

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A list of 20 to 40 buyer questions sorted by type.
• A citation table by tool that shows questions tested, times you were named, times a rival was named, your rate and the gap.
• A lost-questions table with the question, who is named, why they win and the priority.
• A ranked fix plan, such as FAQ markup, comparison pages and brand fixes, each tied to target questions.
• Drafts of FAQ blocks, markup and comparison page outlines.
• A recheck plan to run the same questions about 14 days later.

How it does the job well

• Audit more than one tool. One-tool audits miss the picture.
• Never promise a result. Say "improve the odds of being named", not "get cited".
• Keep this separate from search ranking. A page that ranks on Google may not be named by an AI tool.
• Benchmark first. Without a before count, an improvement cannot be shown.
• Say what was measured and what is inferred.
• Always audit multiple platforms. ChatGPT, Claude, Gemini, and Perplexity each have different citation patterns. Single-platform audits miss the picture.
• Never guarantee citation outcomes. AI responses are non-deterministic. You can improve the signals, but you cannot control the output. Say "improve citation likelihood" not "get cited."

Mistakes it avoids

• Generic copy that could fit any brand.
• Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.
• Calling a test winner before there is enough data.

What a good result looks like

An example, not your task: A buyer tells you "ChatGPT told me to try your rival."

• Question list. Twenty to forty questions your buyers ask, grouped by recommend, compare, how to choose and best of.
• Citation table. For each AI tool, how often you and your rivals were named, with your rate and the gap.
• Lost-questions table. Each question where a rival wins, who is named, why they win and the fix priority.
• Fix plan. Ranked fixes with the questions they target, expected gain and implementation steps.
• Draft assets. FAQ blocks, markup and outlines for comparison pages, ready for you to edit and publish.
• Recheck plan. The same questions to run again in about 14 days and how to compare the results.

How the work is checked

• Every claim traces to the brand brain or supplied evidence.
• Each recommendation states the expected effect, the cost and how it will be measured.
• Copy fits the platform's length limits and the brand voice.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

Capabilities

• Set the question list. It writes 20 to 40 questions your buyer would ask, grouped as recommend, compare, how to choose and best of.
• Record who is named. From the answers you paste, it notes which brands are named, in what order and in what format, for each tool.
• Find the lost questions. It lists questions where a rival is named and you are not.
• Work out why they win. It looks at what the winning brand has, such as a comparison page, FAQ-style content or clear brand facts, and what you lack.
• Write the fix plan. It ranks fixes by expected gain, drafts the assets and schedules a recheck with the same questions.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id marketing-ai-citation-strategist only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/marketing-ai-citation-strategist/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• Your brand name, site address and product category.
• Two to four main rivals.
• Who your buyer is and what they would ask an AI tool.
• The answers you collect from ChatGPT, Claude, Gemini and Perplexity for each question. The agent gives you the list to run.
• Your FAQ, comparison and product pages (optional).

Helpful context (optional)

• A list of the real questions customers ask you, from emails, reviews and sales calls.
• Your best comparison and FAQ pages.
• A note of which pages rank on Google for your category.

Tools and access

• ChatGPT, Claude, Gemini and Perplexity: These are the four tools the audit covers. Each names brands in its own way.

Functions and deliverables

• AI citation visibility planner: Find out if ChatGPT, Claude, Gemini and Perplexity name you or a rival. Get a citation table, lost questions and a ranked fix plan.
  • A list of 20 to 40 buyer questions sorted by type.
  • A citation table by tool that shows questions tested, times you were named, times a rival was named, your rate and the gap.
  • A lost-questions table with the question, who is named, why they win and the priority.
  • A ranked fix plan, such as FAQ markup, comparison pages and brand fixes, each tied to target questions.
  • Drafts of FAQ blocks, markup and comparison page outlines.
  • A recheck plan to run the same questions about 14 days later.
  Source: Michael Sitarzewski and Agency Agents contributors.
• AI search visibility tester: Share your store and shopper questions. Test or collect AI answers, then count brand mentions, links and cited sources in those runs.
  • A results table: question, assistant, run, named, linked, position, rivals
  • Share of voice for each assistant and each question group
  • A ranked list of the sites AI cited when it did not name you
  • A test plan with questions you leave alone and questions you act on
  • A visibility score out of 100, with the sum shown
• AI citation source finder: Share five buyer questions and collected search citations. Get a ranked outreach sheet with placement types, known contacts and costs to confirm.
  • Domains ranked by how many questions and AI tools cite them
  • A flag per target, such as sponsored post, product review, partnership, Reddit thread, YouTube channel or your own listing
  • A target sheet with page link, type, citation count, contact, cost and status
  • A pitch angle per target type and a do-not-do list
• Website fix priority planner: Share page issues and evidence. Get a ranked list of tracking problems, quick fixes, questions to investigate and changes to test.
  • Each problem in one bucket with its next step
  • Test ideas that name the number they should move
  • A ranked order with a reason for each rank
• Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
  • A folder of eight plain files, from a start file for your AI to a claims list and a change log
  • A tag on every fact, and every claim marked approved, pending or banned
  • A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
  • A short slice for your next step, if you name one

Tasks you can use it for

• A buyer tells you "ChatGPT told me to try your rival."
• You want to know which questions you lose, and to whom.
• You are about to write comparison or FAQ pages and want them aimed at real questions.
• You made changes and want to see if AI tools name you more often.

Limits to check before starting

• You want a monthly shopper-question check for a store. Use the AI recommendation mention tracker.
• You want one page scored on how easy it is to quote. Use the AI citation scorer.
• You want the sites AI tools cite for five buyer questions, and who to contact. Use the AI citation source finder.
• You want a Google search review or link building. Use the SEO reviewer.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Add the pack to your AI as a skill. In a plain chat, paste SKILL.md first.
• Give your brand, site, category, rivals and buyer. Ask for the question list.
• Run each question in ChatGPT, Claude, Gemini and Perplexity, in a new chat each time. Paste the answers back, labelled by tool and question. If time is short, start with 10 questions.
• Say "Audit these answers." Read the citation table, then the lost questions.
• Work through the fix plan from the top and publish the changes yourself.
• About 14 days later, run the same questions again with the same wording and ask for a comparison.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/marketing-ai-citation-strategist for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.