Greg Salamon

Day Job: Amazon seller. Side Hustle: Showing others how to grow their Amazon sales. Business owners, see how below ⬇️

[Greg Salamon @GregorSalamon]

@spect3ral Remix

[Greg Salamon @GregorSalamon]

@FynCas UGC

[Greg Salamon @GregorSalamon]

@mikefutia AMAZON

[Alessandro @AlessandroLavis]

gpt2.0 + a product image is a cheat code for amazon listings

most brands make product creatives way too slowly

one hero shot
one benefit graphic
one lifestyle image

then they wait weeks to test another angle

the edge is speed
take one product
use ai to map every buyer reason

portable
easy to clean
usb-c charging
travel-friendly
smoothies anywhere
healthy routine

then turn each angle into a full listing image stack

same blender
different reason to buy
that’s how you test visual promises fast

rt + comment "listingkit" and i’ll send the full setup
(follow for dm)

[Greg Salamon @GregorSalamon]

@AlessandroLavis listingkit

[Greg Salamon @GregorSalamon]

@daffyduckinson Images

[Daffy @daffyduckinson]

$536k later, one thing is obvious:

amazon listing images are no longer a design task

they’re a testing system

pick one product
map the core buying beliefs
then turn each belief into its own image

energy
focus
pump
ingredients
how it works
how to use it
before/after transformation

same offer
different entry points

that’s what most brands miss

buyers don’t all convert from the same message

some want the science
some want the outcome
some want the simplicity

claude helps turn all of that into a full image stack fast

so instead of waiting on slow revisions

you launch more angles
read the data
and keep the winners live

rt + comment “images” and i’ll send the setup
(follow for dm)

[Greg Salamon @GregorSalamon]

@spwfeijen Listing

[Stijn Feijen @spwfeijen]

Cleared ~$487k recently with this Amazon creative system.

Most brands move too slowly—they drop one set of images and sit on it for weeks. Wrong approach.

The real edge is speed + angle testing.

Map the Angles: Use AI to identify every buyer "hook" (e.g., Clean Energy, Zero Crash, Better Performance, Refreshing Taste).

The Multi-Stack: Turn each angle into a full image stack (Hero, Benefits, Ingredients, Lifestyle, Reviews).

Data > Guessing: Run multiple visual promises simultaneously. Let Amazon's data tell you which message actually converts.

Same product, different reasons to buy. Don't guess—test.

RT + Comment "LISTING" and I’ll DM the full setup.
(must be following)

[Greg Salamon @GregorSalamon]

@spect3ral Opus

[Greg Salamon @GregorSalamon]

@georgesttock GPT2

[Greg Salamon @GregorSalamon]

@davidfigeira Listing

[Greg Salamon @GregorSalamon]

@AlessandroLavis Angles

[Greg Salamon @GregorSalamon]

@spwfeijen Guide

[Greg Salamon @GregorSalamon]

@spwfeijen Guide @spwfeijen

[Greg Salamon @GregorSalamon]

@promptowy Zacznijmy od dyscypliny

[Greg Salamon @GregorSalamon]

@georgesttock @georgesttock guide

[George Stock @georgesttock]

Imagine paying $1,000 for product photos in 2026...

AI can turn one product image into dozens of scroll-stopping ads.

Different styles.
Different backgrounds.
Different creatives.

All in minutes.

I made a step-by-step guide showing exactly how to do it.

Comment “Guide” and I’ll send it.
(must be following)

[Greg Salamon @GregorSalamon]

@georgesttock Guide

[David @davidfigeira]

cleared ~$230k using a setup like this recently

people think scale comes from better ads

it doesn’t

it comes from how fast you can produce and test

this is the system:

– one product
– ai-generated listing images (like these) in minutes
– multiple angles built instantly
– reused across ads, PDPs, and creatives

claude handles hooks + messaging

images get generated, deployed, and tested fast

no designers
no long back-and-forth
no creative bottlenecks

just launch → read data → iterate

same structure repeated daily

that’s how volume compounds

rt + comment “listing” and i’ll send the full breakdown
(follow for dm)