No designer required
The showroom gets a passable, on-brand banner for this week's offer without commissioning a designer or opening image-editing software nobody on staff actually knows how to use.
Available now
In build
The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe business gets a usable, on-brand social graphic without hiring a designer or opening editing software.
Works with
What it does
Socie generates static image creatives from a text prompt or a simple template (offer banner, quote card, festival greeting) using the business's saved logo and color palette. The image attaches directly to the post draft for scheduling.
A home décor showroom wants a festive offer banner for Diwali week and has three choices: pay a designer at a premium for same-day turnaround, use a template that looks like every shop's sale graphic, or post plain text nobody scrolls past twice. None suits a business needing a new graphic every week or two.
Image creative generates a static graphic from a prompt or a template — an offer banner, a quote card, a festival greeting — using the business's saved logo and colour palette so it looks like it belongs to that brand rather than generic stock. The image attaches to a post draft, ready for scheduling. What it cannot do is guarantee the result is legally clean without a look — a generated image can occasionally echo a recognisable logo closely enough to matter, and that check has to happen before it reaches a real audience.
Socie runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
The showroom uploads its logo and defines its colour palette and fonts, so every future generated graphic can draw from that same saved reference rather than defaulting to a generic, unbranded look each time something new is created.
A prompt like 'Diwali offer banner, 20% off furniture' or a ready template — offer banner, quote card, festival greeting — gives the generator a clear starting point to work from immediately without further input needed.
The output pulls in the saved logo and colour palette automatically, aiming for something that reads as belonging to that specific showroom rather than an interchangeable generic template anyone else could have used just as easily.
Once generated, the image sits ready on a draft post for a caption and scheduling, so the visual and the writing come together in the same place without exporting and re-uploading anything separately at all.
Why it matters
The showroom gets a passable, on-brand banner for this week's offer without commissioning a designer or opening image-editing software nobody on staff actually knows how to use.
Because every graphic draws on the same saved logo and palette, the feed reads as one brand's output rather than a patchwork of different generic templates strung together over time.
The generated image attaches directly to a draft post, so there's no separate download-and-reupload step slowing down the path from idea to scheduled content, ready to go.
The detail
Generated imagery carries a real, if occasional, risk of resembling something it shouldn't — a real photograph close enough to raise a rights question, or a visual element that echoes a recognisable trademarked logo or a competitor's branded asset. This isn't common, but it happens often enough that a generated graphic needs a look before scheduling, the same way any commissioned design gets reviewed before going to print. This is doubly true for anything depicting people: generating a face meant to represent a real customer or staff member without permission raises a genuine consent problem, regardless of how convincing the result looks.
Storage and moderation sit behind every generated image, and matter more as usage scales up. A business generating a handful of graphics a month barely notices this; a business generating dozens per week is producing a real, ongoing storage cost and needs every image passing a basic content check before it's eligible to schedule — generation itself doesn't imply the result has already been vetted as safe to publish.
The brand kit is what separates a usable business graphic from a generic AI-art look, and it only works as well as what's saved in it. A low-resolution logo file, or a colour palette set once and never updated after a rebrand, produces graphics that technically use the brand kit but still look slightly off compared to the showroom's actual current materials. Keeping the brand kit current is a small, occasional task that pays off every time a new graphic gets generated from it.
Industry use cases
9 industries where Socie applies this directly.
A car service center plans a week of posts showing before/after detailing work and a monsoon check-up reminder, schedules them all on Monday morning, and lets Socie publish each one at its recommended time through the week.
See the automotive playbookA cosmetics brand uploads a batch of new product photos to the media library, drags them onto the grid preview to arrange the order, then schedules the whole week's worth of posts in one sitting.
See the beauty and cosmetics playbookA freelance graphic designer uses the AI content-idea generator to get five post concepts, turns two into drafts, and schedules them for the week so their profile stays active while they focus on client work.
See the freelancers and consultants playbookA physiotherapy clinic drafts a post about a new treatment offering, and the clinic owner reviews and approves the exact wording before it's allowed to schedule.
See the health and wellness playbookA furniture showroom uploads new collection photos, previews how they'll look next to already-published posts in the grid, reorders a few tiles, and schedules the finalized sequence.
See the home decor and furnishing playbookA real estate broker uploads photos of a new listing, generates a caption highlighting the property's key features, and schedules posts across Instagram and Facebook to go live over the coming days.
See the real estate playbookA restaurant manager schedules a week of daily-special posts on Sunday night, with AI-suggested captions and hashtags for each dish, and Socie publishes them automatically at lunch and dinner hours.
See the restaurants and food playbookA salon owner previews how a new set of styling photos will look in sequence on the grid, adjusts the order, and schedules the batch to post through the week alongside a recycled "book now" reminder post.
See the spas and salons playbookA travel agency schedules a series of destination-highlight posts ahead of a holiday season, using the content calendar to make sure posts are spaced out rather than bunched on one day.
See the travel and tourism playbookMore from Socie
The business can see everything planned across all social channels for the month at a glance, so gaps and clashes get caught before they become missed posting days.
Learn moreThe business writes a post once, customizes it per network, and it goes out automatically at the chosen time without anyone touching a phone.
Learn moreThe business gets a ready-to-post caption in seconds instead of staring at a blank composer box.
Learn moreThe business reaches more relevant people without manually researching which tags are trending in its niche.
Learn moreThe business never runs out of things to post, even during slow weeks with nothing obviously newsworthy to share.
Learn moreThe business's photos, videos, and graphics are always easy to find and reuse, instead of scattered across phones and folders.
Learn moreQuestions
It's uncommon but genuinely possible — image generation can occasionally produce something close enough to a real photograph or a recognisable trademarked logo to raise a rights question. This is exactly why a generated graphic needs a quick human look before scheduling, the same review any commissioned design would get, rather than assuming the output is automatically clear to publish.
Generating a likeness meant to represent a real, identifiable person without their permission raises a genuine consent problem regardless of how good the result looks, so this isn't something to do casually. A generic figure or an illustrated style avoids the issue entirely; representing a specific real person requires their actual, informed agreement first, obtained before the image is generated, not after it's already been scheduled.
As closely as the saved brand kit allows — the generator pulls in the logo and colour palette exactly as they're stored, so an outdated logo file or a palette that hasn't been updated since a rebrand will show up in every graphic generated afterwards. Keeping the brand kit current is what keeps the output looking genuinely on-brand rather than just approximately close.
No — generation produces a draft image, not a pre-cleared one, and it still needs a content check and a human look before it's scheduled to a real audience, the same as any other visual asset entering the media library. Treating a generated image as automatically publish-ready skips exactly the review step that catches an occasional problematic result before it goes live.
The rest of your stack
No rip-and-replace — generate post graphics from a prompt works alongside the systems already running your business.
Coming soon