SeekamiFind X creators by the user task your AI product improves
Imagine launching an AI tool that turns customer interviews into structured product findings. Should you approach AI news writers, productivity reviewers or creators teaching research methods?
Start with a different question: who already explains this task to the people you want to reach?
This guide produces three useful outputs: discovery keywords, a candidate research card and a note you can reuse in Seekami. The scenario is fictional and contains no actual customer or creator records.
1. Translate the product into a task
Complete this sentence: “Our users are ____. They need to ____. A creator could demonstrate ____.”
For the example, the users are product managers. Their task is finding recurring issues in interviews. The demonstration could show how interview material becomes a reviewable set of findings.
Prepare keyword ideas from the role, task and workflow. Examples include “UX researcher,” “customer interviews,” “research synthesis” and “product research workflow.” These are discovery prompts, not measured keyword-volume recommendations.
Search relevant terms on X, read substantive posts and open the authors' profiles. Aim for useful starting points rather than a large list immediately.
2. Use one piece of content to propose an angle
Choose a recent relevant example. What problem does it explain? What can a reader do afterward? Where could your product fit naturally into the process?
“Writes about AI” describes a category. “Explains how to turn interview notes into product findings” suggests a possible collaboration. Record the angle so you have a concrete reason for a conversation.
News coverage and detailed tutorials can both be useful. Assign them different roles instead of judging every creator against the same content format.
3. Add profile context with Seekami
Install Seekami and review the candidate's X profile. Combine the content example with available identity, ranking and influential-follower information.
The content shows how the creator explains things. Industry context helps you understand the account. Commercial information supports preparation for a partnership conversation. Network signals are research context, not audience-demographic measurements or endorsements.
Free rankings offer an entry point; commercial records depend on access and coverage.
4. Complete a simple research card
This is a manual checklist, not an automated Seekami score.
| Question | Evidence to retain | Next action |
|---|---|---|
| Does the task fit? | A relevant content example | Keep the candidate |
| Does the format fit? | A possible demonstration angle | Prepare a content idea |
| Is the account context clear? | Available identity and industry information | Explain its role in your research |
| Are you ready to approach? | Contact context and open questions | Prepare the conversation |
“To confirm” is a useful answer. Strong content fit with incomplete commercial information can remain a candidate for further research.
5. Make a decision in context
Consider three fictional candidates. One covers AI product news. Another teaches interview-analysis workflows. A third discusses startup strategy.
If the immediate objective is explaining the interview workflow, investigate the tutorial creator first. If the objective changes to a product announcement, the news writer may deserve priority. The startup commentator can remain a useful market-research source.
This decision follows the brief and the content; it is not a permanent ranking of the three people.
6. Preserve the reasoning before expanding
Use this original note template in your working document or Seekami private notes:
Goal: Help product managers understand interview analysis.
Reason for selection: Recent work covers user-research methods.
Content evidence: [Add a link.]
Possible angle: Demonstrate one input, the process and the resulting findings.
To confirm: Interest in testing, timing, format and current quote.
Next action: Prepare a test example before outreach.
Explore available similar creators from a relevant account and apply the same card to each new candidate. You can expand the list with consistent reasoning while preserving differences in content style.
What should you have at the end?
A shortlist with content evidence, collaboration angles and next actions. Seekami supports the profile context, private records and list organization; your product knowledge connects those inputs to the campaign.
How many creators should I start with? Use a small list you can review individually and explain. Let the brief and your review capacity determine its size.
What if nobody covers the exact product category? Look for the user task. A research-methods educator may be relevant to an interview-analysis tool.
How should I present the list to colleagues? Include the content evidence, proposed angle and unresolved questions for each candidate.
Add Seekami to Chrome and begin with one user task and one profile.
Continue with industry influence and partnership preparation.