How You Can Build Your Own Army of AI Influencers to Promote Your App

@adriamatz
АНГЛИЙСКИЙ2 месяца назад · 03 июн. 2026 г.
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Суть

This guide reveals how to create and manage multiple AI personas for social media marketing, focusing on maintaining facial consistency and using a high-volume slideshow strategy to drive app downloads.

I don't run one AI influencer. I run an army of them. Each one is a different AI face with its own account, and between them I ship three slideshows a day, every day, all pointing at my app.

This is the actual how-to: how to design a face, how to keep it looking like the same person across hundreds of posts, how to build a fleet that doesn't look like one girl cloned eight times, and how to run all of it without it eating your day. The prompts I use are below, the ones for building and keeping a face. Copy them.

Adrià Martinez - inline image

Why an Army Instead of One Big Account

One account has a ceiling. One voice, one audience, one algorithm bet. Spread the same effort across a fleet and the math changes.

→ Each face owns a slightly different angle, so you're not screaming the same post at the same people

→ If one account gets throttled or dies, the rest keep running, no single point of failure

→ Three posts a day across the fleet feels natural; three a day from one account looks desperate

The army isn't volume for its own sake. It's resilience plus more shots on goal. You only need a couple of faces hitting in any given week to come out ahead.

Step 1: Design the Character

A character is just one good photo plus a handful of locked traits. Decide the traits first, the age range, the vibe, the hair, the eyes, the skin, then generate the face from a prompt built around them. Here's the template I use for the first photo, a plain, real looking selfie:

text
1A first-person iPhone front-camera selfie of a [age] year old [vibe] girl
2with [hair description], [eye color] eyes, and [skin tone] skin.
3
4Casual mirror selfie in a normal bathroom, holding the phone at chest level,
5relaxed natural expression, everyday outfit, one warm light source.
6
7QUALITY: real iPhone photo with light grain. NO studio, NO cinematic,
8NO magazine, NO ring light.
9
10NEGATIVES: beauty filter, doll eyes, perfectly symmetric face,
11professional lighting, model pose, TikTok UI elements, status bar.

Generate three, keep the best, and that photo becomes her permanent reference. Name her, save it. That single image is now the entire identity of that influencer.

Adrià Martinez - inline image

The negatives matter more than the description. Image models drift toward studio lighting, ring lights, and model faces by default, which is exactly what makes content read as fake. The negatives drag it back toward "a normal girl's phone."

Step 2: Keep Her Consistent

This is where most people quit. They generate a face, post once, generate again next week, and it's a different person. Continuity dies and the account reads as fake in the bad way.

I don't train a model for each girl. No LoRAs, none of that. Every future post is an image edit of that one reference photo, telling the model exactly what to keep and what to change:

text
1[Attach the character's reference photo.]
2
3PRESERVE (identity is critical):
4- Exact facial structure
5- Hair color, eye color, skin tone
6- Eyebrows, nose, lips, jawline
7- Her one signature accessory (e.g. a thin gold chain) across every post
8
9CHANGE:
10- New setting and background
11- New pose: [inject ONE pose directly, e.g. "hand resting on the counter"]
12- New outfit
13- Expression: natural, relaxed

Two hard won details:

→ Inject one pose, never a list. If you give the model options ("touching hair, holding a mug, hand on chin"), it picks the first one every single time. Pick one in your setup and pass only that. Vary it by rotating through a pool yourself, not by letting the model choose.

→ Always edit from the original reference, never from last week's post. Edit an edit of an edit and the face drifts a little each time until she's a different girl. Anchor every post to image one.

One reference photo carries that influencer forever. If a post comes out off-model, regenerate it, ten seconds, done.

Adrià Martinez - inline image

Step 3: Build a Fleet That Doesn't Look the Same

The flip side of consistency is variety. If every character comes from the same default, your army looks like one girl in eight outfits, and the algorithm and the audience both notice.

So lock a different trait set per character up front, and never improvise after. One soft blonde, one freckled redhead, one sharp brunette. Each reads as a distinct person because the difference was designed, not left to chance.

That's the whole principle of the army: lock what has to stay constant within a character, deliberately spread what has to differ between characters. Get that right and ten accounts feel like ten people.

Adrià Martinez - inline image

Step 4: The Slideshow, One Face Then the App

Every slideshow is the same simple shape.

→ Slide 1: the AI influencer, the face, the hook. The only AI-generated person in the post.

→ The slides after it: real screenshots of your app doing the thing it actually does, with the real output it produces.

The face is the thumb-stopper, the app is the payoff. Whatever your app does, the principle is the same: show it working on something the viewer recognizes, and let the real result carry the sell. In my case the app analyzes products, so my slides are it scanning one and the scores it returns. If your app does something else, swap in your equivalent, the workout it builds, the receipt it splits, the listing it writes. The structure doesn't change.

For the app slides, order matters:

→ Open on the action, the app mid-task on something the viewer recognizes

→ Show the real output, the actual thing your app produces, don't dress it up

→ End on the single clearest result, the one screen that makes someone want it

Keep it only as long as the payoff needs, no padding. Every extra slide is another place a viewer can drop before the end, so each one has to earn its spot. Pick inputs people recognize, and build to the payoff instead of opening on it.

Adrià Martinez - inline image

Step 5: Run It at Volume

→ Each character is bound to her account once. After that you're just choosing who posts what.

→ A batch generates fast. The slow part was never the making, it's the looking.

→ Rotate which faces post so no account floods and the fleet stays varied day to day.

The mindset shift that makes this sustainable: stop thinking of content as something you write, start thinking of it as a format you configure. The hook is fixed, the app-demo structure is fixed. The only things that change post to post are which character and which products. The format does the heavy lifting; the variety keeps it fresh.

What Breaks, and How to Avoid It

→ Faces drifting off-model. Fix: always edit from the original reference (step 2).

→ The fleet converging on one look. Fix: locked traits per character, plus a quick check that today's three aren't sisters.

→ Accounts getting flagged. Fix: the visible AI disclaimer, manual review, don't flood one account.

→ Posts going stale. Fix: rotate products and characters; the format stays, the inputs don't.

None of these are exotic. They're the things that quietly kill an account if you ignore them, and a minute of attention each prevents them

Cost and Time per Post

→ The expensive part is image generation, and it's small, on the order of an image credit or so per post.

→ The deterministic part, assembling the carousel and the overlays, costs effectively nothing.

→ The real cost is your attention: a batch takes a few minutes to generate and a few to review.

Call it a couple of minutes of human time per published post once the system runs. The first few are slower while you dial in each character.

What's Automated, What's Manual, on Purpose

→ Generation is automated, the face slide plus assembling the app slides → The app screenshots are real, pulled from the actual product, never faked

→ Publishing is manual: review every post, add the text overlay natively at upload, push it yourself

Manual review is cheap insurance that keeps accounts clean. Autonomous posting is exactly how you wake up to a banned account and a post you'd never have approved.

Adrià Martinez - inline image

You Don't Need the System to Start

You can do all of this by hand with one face and a phone. Generate a character with the step 1 prompt, save her reference, edit it with the step 2 prompt for each new post, screenshot your app for the rest of the slides, post. The format works no matter how the images get made.

A system just lets you run it across an army at three a day instead of one a week. Start with one face, get a single post clean end to end, then add the second character, then run them in parallel. Skip steps and you'll debug the whole fleet at once instead of one thing at a time.

The Short Version

  • Run many AI faces, not one: more shots, more resilience
  • Design each character from locked traits; one good photo is her referencea
  • Keep her consistent by editing that one reference, never training, never editing an edit
  • Inject one pose at a time, not a list
  • Slide 1 is the AI face hook, the rest is your real app, shown straight
  • Automate the making, keep a human on publish
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