Audience discovery skill

Audience FinderFind who is most worth serving first.

Find and rank audiences with Klinko Audience Finder, powered by the Klinko MCP integration for Codex and Claude Code.

Available nowKlinko MCPCodexClaude CodeKlinko Research
KLINKO / SKILL MAPAudience discovery
Audience Finder market research capability illustration
INPUT→DECISION→OUTPUT
Direct answer

What is Audience Finder?

Audience Finder is an AI market research skill that organizes current market evidence into a ranked shortlist of candidate audiences. It separates visible groups from commercially relevant ones, explains who is most worth serving first, and shows what evidence or validation could change that decision.

Use it in Codex or Claude Code

Connect once. Ask in natural language.

Klinko Skills run through the authenticated Klinko MCP. Add your API key once, connect the MCP client, and use this Skill without learning a command language.

01

Get an API key

Sign in to Klinko, then generate and securely store a test or production API key.

02

Connect Klinko MCP

Follow the GitHub installation guide to add Klinko MCP to Codex or Claude Code.

03

Run Audience Finder

Describe the market question directly; the Skill applies a consistent research standard and output.

ENVKLINKO_MCP_API_KEY

The Free plan includes a one-time balance of 200 credits. View pricing. Never place the API key in prompts, logs, or a public repository.

What this skill helps you decide

Find who is most worth serving first.

Use it when “our customer could be anyone” is blocking product, positioning, or acquisition decisions. The skill creates a defensible starting point without pretending market evidence is a representative census.


Inside the skill

Audience Finder research process

01 / Inputs

Inputs

  • Product, offer, or problem statement
  • Market and geographic scope
  • Known customer clues or exclusions
  • Decision constraints such as budget or time
02 / Decision process

Decision process

  1. 01

    Identify candidate groups

    Map recurring identities, situations, jobs, and problem language in the supplied market scope.

  2. 02

    Separate visibility from value

    Distinguish frequent discussion from urgency, buying motivation, fit, and ability to act.

  3. 03

    Prioritize the shortlist

    Rank candidate audiences and state assumptions, contradictory evidence, and the next validation.

03 / Outputs

Outputs

  • Prioritized audience shortlist
  • Segment evidence and confidence notes
  • Needs, triggers, barriers, and language
  • Recommended next validation step

Natural-language guide

Start with one market question

Use the complete question, then ask for evidence boundaries and the next test. The Skill keeps the research path consistent while the market question changes.

01

We are building an AI meeting assistant for small professional-service firms. Which audiences should we investigate first in the US?

02

Separate conclusions supported by public evidence from inferences, and show what information is still missing.

03

What new evidence is most likely to change the recommendation, and what should I validate next?


Worked example

Market question

QUESTION

We are building an AI meeting assistant for small professional-service firms. Which audiences should we investigate first in the US?

What the skill clarifies

The skill may separate client-facing boutique consultancies, specialist agencies, and small legal teams instead of treating “small business” as one audience, then rank them against observable urgency and workflow fit.

Recommended actions
  • Interview the top-ranked segment around the riskiest assumption
  • Test its problem language on one landing page
  • Keep the runner-up as a deliberate comparison group

When to use it
  • You have a product idea but no credible first audience
  • Several plausible customer groups compete for attention
  • Your current persona is broad, inherited, or assumption-led
Evidence boundaries
  • It prioritizes research targets; it does not prove market size or product-market fit.
  • market evidence can underrepresent private, offline, or low-posting populations.
Read the research methodology→

FAQ

Questions about this skill

What does Audience Finder produce?
A ranked audience shortlist with supporting signals, motivations, objections, assumptions, and a next validation step.
Is it a buyer persona generator?
No. It first decides which audience deserves investigation. A persona should be built only after that choice has evidence.
Can it replace customer interviews?
No. It narrows whom to interview and what uncertainty the interview should test.
Can I use Audience Finder with Codex and Claude Code?
Yes. Audience Finder supports Codex CLI, the Codex desktop app, and Claude Code, using Klinko MCP for market evidence.
Continue your research

Use the right skill for the market decision in front of you.

Connect Klinko to Codex or Claude Code, then start with a focused market question.