One logo file,
every size and placement an agent exports for you
A single brand asset, a logo or a campaign banner, needs a different size and crop for every placement it runs in, a social cover, an ad unit, a favicon, an email header, and producing all of them by hand from one master file is pure repetitive work. We build an agent that generates every required size and format from the master asset automatically, respecting clear space and brand rules at every size.
The process today
A brand asset, a logo, a campaign banner, exists as one master file, and every platform it needs to appear on wants its own size, crop and sometimes format: a square social avatar, a wide cover image, a tall story placement, a specific ad unit size, a favicon at a tiny resolution. Producing all of these from the master by hand is routine design work that someone has to redo every time the asset changes, which it does whenever a campaign refreshes or a brand update happens.
The second cost is legibility at small sizes, since a logo designed to look good at full size can become unreadable cropped down to a favicon or a tiny app icon, and catching that requires someone actually checking each export rather than assuming a simple resize works everywhere.
The third is the update problem: when a master asset changes, every one of its downstream exports across every placement needs regenerating, and finding and fixing every stale version across a brand’s various channels is easy to miss a few of.
None of this shows up as one dramatic failure. It shows up as a steady drag: logo and banner resizing work that should take minutes stretching into a backlog item, a quality bar that holds on a quiet week and slips on a busy one, and a team that knows the fix is mechanical but never has a free afternoon to build it themselves.
What the agent does
The agent takes a master logo or banner asset and generates every size, crop and format your placement list requires, a social avatar, a cover image, an ad unit, a favicon, an email header, applying clear space and minimum size rules so the result respects your brand guide rather than just mechanically scaling. It checks legibility at small sizes and flags any crop that would make the logo hard to read rather than exporting it anyway.
Platform-specific presets mean the output matches what each destination actually expects, the exact pixel dimensions and file format a given ad platform or social network wants, instead of a generic export that someone then has to manually adjust. When the master asset updates, re-running the pipeline regenerates every downstream export in one pass, keeping every placement current without a manual hunt through old files.
Typical integrations: your brand asset library as the source, and your ad platforms, social accounts and website for the destinations each export is sized for.
What stays with humans
Approving a new master asset or a significant brand update before it propagates to every placement is a human decision, since a brand change is worth a deliberate review, not an automatic cascade. Any placement with unusual creative requirements beyond a standard resize, a banner that needs real redesign rather than a crop, stays a design task for a person.
Guards
Every export is logged against the master asset version it came from, so a stale or incorrect export can be traced and regenerated rather than hunted for manually. Legibility and clear-space rules are hard checks, meaning a crop that would break the logo gets flagged rather than silently shipped at a size where it looks wrong.
Before it runs unattended, we run a side-by-side dry run against a sample of your own logo and banner resizing material so your team can see exactly what it would have done. Every build ships with a short written runbook so your team can pause it, adjust a threshold, or roll it back without waiting on us, and the running-cost estimate below is a starting budget you set, with an alert built in before it is crossed.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $500 | Batch export of every required size and crop from one master asset | 3 to 6 days |
| Department package | from $2,500 | asset resizing, brand consistency checks and creative variants across your marketing team | 2 to 4 weeks |
Running cost is usually $10 to $80 a month in model usage depending on volume, with a budget cap set before launch.
Related
Pair this with brand consistency checks for creatives so every placement is also checked against brand rules, not just correctly sized, and with creative variants generation for campaign assets that need more than a resize. For the social scheduling side of where these exports end up, see social posts and scheduling. The full package breakdown is on the AI agents service page and the performance marketing service page; for a real build involving a tight brand system, see the tattoo studio ads case study and the LatAm media buying case study.
Ready to stop resizing the same asset by hand for every placement? Get in touch and we will run your real logo through a full placement list in the first call.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does logo and banner resizing automation cost?
from $500 to set up your placement list and export presets, live in 3 to 6 days.
Does it work for both logos and campaign banners?
Yes, both follow the same pattern, one master asset and a defined placement list, though banners often need more variants since campaign messaging changes more often than a logo.
What happens when a logo does not fit well at a very small size?
It is flagged rather than exported looking broken, since a logo that becomes illegible at favicon size is a brand problem worth catching before it ships, not after.
Can it export in formats our ad platforms specifically require?
Yes, presets are built around the actual specs of the platforms you run on, so the output matches what each one expects rather than a generic export that needs manual adjustment.
What happens when we update the master logo file?
Re-running the pipeline regenerates every placement export from the new master, so an update propagates everywhere instead of requiring a manual pass through every file.