Hire an AI X research analyst

Everything it can hand back

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

• A sourced brief with the question, the scope, the key findings and the confidence for each
• A signal timeline of what happened and when, with a link for each entry
• A search table of phrases, handles and exclusions you can reuse
• A monitoring plan with what to watch, how often and what counts as a spike

How it does the job well

• Use public posts or data the user is allowed to use. Never work out who is behind an account, expose personal details, or suggest going after anyone.
• Every finding needs a link, handle and time from the supplied posts. If you cannot give one, mark the finding "no source supplied" and lower its confidence.
• Label each finding as Seen (in the posts) or Reading (your inference). Give a confidence level (low, medium or high) and the number of posts and accounts behind it.
• State the sample limits: how the posts were collected, what was left out and how repeats were handled. A pasted sample is not the whole conversation.
• Keep API keys out of the chat. If the user pastes one, tell them to revoke it and use an environment variable.
• Write for one named audience and one action. Each asset has a single job.
• Use the customer's own words from reviews, calls or surveys before inventing language.

Mistakes it avoids

• Calling a topic a trend from a handful of accounts or one day of posts.
• Counting reposts as separate voices.
• Guessing who is behind an account, or listing private details.
• Copying the profile's example table row as if it were real data.
• Generic copy that could fit any brand.
• Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.

What a good result looks like

An example, not your task: A rival just launched something and you want to know how buyers on X are reacting before you reply.

• Brief. The question, scope and numbered findings, each with a link, a confidence level and what it means.
• Signal timeline. A table of what happened and when, with the source link and action for each signal.
• Search table. Reusable search phrases, handles, languages, words to leave out and how often to review each.
• Monitoring plan. What to watch, how often to check, and the spike level that should trigger a review.
• Recommended actions. Steps sorted into now, this week and watch list.
• Limits and checks still needed. What the posts cannot show, and what you must confirm before you act.

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.

A second opinion

Before it hands back, your AI reviews the draft the way Rand Fishkin would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Frame the decision. It restates the question, the deadline and the proof you need. If a part is missing it asks once, then marks it MISSING.
• Build the search. It lists exact phrases, handles, hashtags, misspellings and rival names, and the words to leave out.
• Clean the posts. It removes reposts, spam and off-topic matches. It keeps each link, handle and time in UTC.
• Group and test. It groups posts into themes. It checks if a spike comes from many accounts or a few, and over what time.
• Mark fact or guess. Each finding is marked as seen in the posts or as its own reading, with a confidence level and sample size.
• Write the brief. You get the brief, timeline, search table and monitoring plan, with actions sorted into now, this week and watch.

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-x-twitter-intelligence-analyst 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-x-twitter-intelligence-analyst/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

• The decision the research should help with, in one line, such as "Should we answer a rival's price cut?"
• Your brand name, handles and product names, and the rivals and topics to cover
• The posts to study, pasted with links, or an export from X or a data service
• The date range to cover and any words to leave out (optional)

Helpful context (optional)

• A list of your products, nicknames and common misspellings.
• Your past support tickets or complaints, to compare with what X shows.

Tools and access

• Claude, ChatGPT or Gemini with web search: It can open public posts and check links. Search results are partial, so treat counts as a sample.
• Xquik, a paid X data service: Gives structured X data and alerts. Not required. Check its current terms and prices yourself.

Functions and deliverables

• X research analyst: Turn X (Twitter) posts into a sourced brief on your brand, rivals or audience, with a reusable search list and next steps.
  • A sourced brief with the question, the scope, the key findings and the confidence for each
  • A signal timeline of what happened and when, with a link for each entry
  • A search table of phrases, handles and exclusions you can reuse
  • A monitoring plan with what to watch, how often and what counts as a spike
  Source: Michael Sitarzewski and Agency Agents contributors.
• Apify social audience analyst: Share a social account and research goal. With Apify access, collect available audience data and get findings, exports and gaps.
  • A data file of the public records collected, if you ask for one
  • A count of records and the file location
  • A plain summary of who the audience seems to be and what they engage with
  • An engagement read on how real it looks, with the signs it used
  • Notes on what the data cannot show and suggested next steps
  Source: sickn33.
• Customer question researcher: Get a sourced answer to a customer question, with how sure it is. It searches your docs, past tickets and chats and names each source.
  • One direct answer that leads with the bottom line
  • A confidence level, with the reason for it
  • Findings grouped by source, and a numbered list of sources
  • Conflicts between sources, and what could not be confirmed
  • Next steps, including who should check the answer
  Source: Anthropic.
• Social listening brief writer: Name a brand or topic and date window. Get cited themes, sentiment limits and notable public posts.
  • Themes grouped by what people say
  • Quotes and links for each theme
  • Praise and complaint patterns
  • A note on how far to trust the sample
  • Risks, openings and next steps
  Source: ScrapeCreators.
• 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
• Rand Fishkin: Plan audience research and pick marketing channels with Rand Fishkin's recorded approach. Find where your buyers pay attention and tie it to a goal.
  • Your problem worked on the way Rand Fishkin would: their questions, their method, their push-back
  • The answer or the work, in Rand Fishkin's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step

Tasks you can use it for

• A rival just launched something and you want to know how buyers on X are reacting before you reply.
• Mentions of your brand jumped overnight and you need to know if it is a real problem, a support issue or a few loud accounts.
• You want to know what your customers complain about or ask for on X, in their own words.
• You need a list of search phrases and accounts to watch for your brand and category.

Limits to check before starting

• You want to write or schedule posts. This agent does research only. Use the X post and reply writer for replies.
• You want to track results of paid social ads. Use the Paid social advertising strategist.
• You expect it to watch X live and alert you. A chat AI cannot do that without a data service and a webhook set up by you.
• You want to find out who is behind an account or collect personal details. It will not do that.

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.

• Download the pack from this page and add it to your AI as a skill. If you cannot, paste SKILL.md into a new chat, then paste references/source-agent.md.
• Tell it the decision you need to make, your brand names and handles, and the rivals or topics to cover.
• Paste the posts with their links and times, or attach an export. If your AI can search the web, say so. If you have an X data service such as Xquik, which is paid, say that too.
• Type "Make the brief. Show the link for each finding. Say how sure you are and how many posts it rests on."
• Read the confidence lines first. Open two or three of the cited posts yourself before you act on a finding.
• Take the search table to your monitoring tool, or run the brief again each week with fresh posts.

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-x-twitter-intelligence-analyst 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.