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Free AI influencer generator.

Create an AI influencer for your ads. Describe persona, scene, and style, and get three variants in lifestyle, studio, or UGC, ready to A/B test before you book a creator. In Blu, the Brand Designer agent locks that character once you approve it, so every later shot uses the same face.

How to use the AI influencer generator

It takes three steps and every output renders on this page so you can copy or export it right away.

Describe the persona and scene

Write who the person is and where they are, then pick lifestyle, studio, or UGC-style.

Generate the influencer photos

The AI influencer generator returns three photo variants of that persona in the scene you described.

Open it inside Intempt

Push the winner into Intempt so the Brand Designer agent locks the character model, and the Performance Marketer agent syncs the audience to the ad destinations you already run.

Use in Claude

Blu Agent

Who it's for

  • Marketers testing ad creative angles before booking a real creator
  • Teams that need several distinct personas tested across products in one pass

What's in the download

  • SKILL.md - The 3 real styles (lifestyle, studio, UGC-style) and 3-variant output from the browser tool, plus instructions to generate with whatever image-generation MCP is already connected, and a rule never to present the synthetic persona as a real, identifiable person.

How to install it

claude.ai or Claude Desktop
Upload as a zip in Capabilities
Paid plan
  1. Open Settings, then Capabilities
  2. Turn on code execution if it isn't already on
  3. Upload the .zip you downloaded
Requires a Pro, Max, Team, or Enterprise plan. Not available on the Free plan.
Claude Code
Drop the folder, it auto-loads
Any plan
  1. Unzip the download
  2. Drop the folder into ~/.claude/skills/ (or .claude/skills/ in a project)
  3. Claude Code finds it automatically
$ ls ~/.claude/skills/
your-new-skill/

What you need

  • Claude Desktop or claude.ai (Pro, Max, Team, or Enterprise for claude.ai upload)
  • Claude Code: no plan restriction
  • An image-generation MCP connected in Claude (any provider) to actually generate the photos

Try it with

  • “Use the ai-influencer-generator skill to generate a lifestyle-style AI influencer for this persona and scene”
  • “Generate UGC-style photos for this whole list of personas and scenes”

Prefer an instant answer? Run it now above.

Questions about theAI influencer generator.

Yes. Sign up for the free Intempt plan, then generate influencer photos on this page and download them free 3 times a day, and up to 10 times a day across all the tools, while syncing audiences, tracking first-party conversion, and grading ROAS sit inside the free Intempt plan.

Teams love it

They stopped stitching tools andhired one system.

StockInvest

Acquisition and retention are one connected motion. Personalizing the path before signup only pays off when the same system carries the user through onboarding afterward.

Anonymous traffic was not turning into registered users, and acquisition and retention were run as two separate problems. We ran Experiences on the anonymous visitor flow to put the right content and CTAs in front of each visitor, then handed new signups to automated Journeys for onboarding and deeper engagement.

455,396

users instrumented

Read the full research
FieldsUSA

Judge experiments on revenue per visitor instead of conversion rate. A variant can win on conversions and still lose on revenue, and repeat buying only shows up when the whole journey is in one view.

High-intent shoppers browsed a large, specialized outdoor catalog, and browsing, product interest and purchase history sat in different places. We unified them into one customer view, then ran real-time personalization, intent-based segmentation and timely follow-ups on top of it, judging experiments on revenue per visitor.

Read the full research
Hoperfy

Build the pipeline on observed signals. When follow-ups trigger on intent, the team spends its time on the users who are genuinely engaging.

Static lead lists and timeline-based follow-ups were hiding who was actually engaging. We ran a signal-led outbound pipeline where follow-ups fire on real behavior: outbound replies, onboarding progress and product usage.

Read the full research
Intempt Design

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