Audience Personas

SkillDocs & knowledge

Build evidence-led social audience personas from customer interviews, comments, reviews, or CRM notes.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Audience Personas skill

What this skill tells your AI

The instructions your AI receives, as published by ootto-ai/claude-content-skills in skills/audience-personas/SKILL.md and read by ahel’s review.

Turn supplied customer evidence into grounded audience segments. Use it when a marketer has interviews, comments, reviews, or CRM notes and needs to decide who a message is for. It is not for inventing demographics, market size, or personas from intuition.

1. Establish the evidence

Ask for the source, date range, decision owner, offer, and desired audience action. Keep direct quotes separate from summaries and name material that is missing.

2. Group observable patterns

Cluster the evidence by job-to-be-done, desired outcome, objection, exact language, and trigger. Cite the source for each cluster. Do not manufacture a segment just to reach a round number.

3. Produce a usable segment

For each evidence-backed segment, return its job, language, objections, useful message angles, and the question it is already asking. Label confidence and unresolved questions.

4. Hold claims for review

Flag any demographic statement, outcome claim, or customer quote that needs approval before public use.

Hard rules

  • Do not infer demographics, income, identity, or intent not present in the source.
  • Do not turn one loud comment into a market-wide claim.
  • Keep observed language distinct from suggested copy.
  • If evidence is thin, ask for more comments, reviews, or interviews.

Failure modes

SymptomCauseFix
Generic personassource has no concrete languageask for verbatim comments or interviews
False certaintyinference appears as factlabel it as a hypothesis
Too many segmentsminor differences treated as groupsmerge around the shared job-to-be-done

Where it sits

social-listening gathers recurring conversation → audience-personas groups it → positioning-audit turns it into a message.

Signals

GitHub stars
28
Forks
5
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
audience-personas
Source
github.com/ootto-ai/claude-content-skills