Summarize with AI
An AI image generator landing page should open with one real input next to the image your product made from it, with the prompt printed underneath. Then every claim further down the page, about quality, style, brand fit or speed, should be shown as an output instead of written as a sentence.
For a product that makes pictures, the picture is the headline. A visitor is not asking whether you have a model. They are asking whether the images are good enough to use on their own store, ad or deck. You know exactly what your model does well, because you have looked at thousands of its outputs. A stranger has looked at none, and decides in about four seconds what kind of company this is.
Studio-quality visuals in seconds, and a blob
Picture an AI product photo startup, as an example. Brands upload a plain photo of what they sell and get back staged shots. The hero shows a 3D gradient blob, slowly turning, in violet and peach. The headline reads Studio-quality visuals in seconds. The subhead says Generate on-brand product imagery with AI. Two buttons sit side by side: Start free and Watch demo.
Section two is three icon cards: Fast, On-brand, Scalable. Section three is a strip of six small logos. Section four is How it works, with three line icons labelled Upload, Describe, Generate. Only in section five do the outputs appear: a white running shoe on grey marble, shot in six lighting setups. Hard noon sun. Softbox from the left. Golden hour. Neon rim light. Overcast. Direct flash. They sit in a carousel that shows one image at a time and slides on its own every few seconds.
On a phone, that carousel is about five screens down. Most visitors never reach it, and the few who do leave before the neon shot, the one a cheap studio could not make.
Count the sentences that should have been pictures
Go back through that page and mark every line that makes a claim about the output. Studio-quality is a claim about lighting and detail. On-brand is a claim about color and style. In seconds is a claim about speed. Each is a question a visitor can only settle by looking, and the page answers all of them with words.
Here is the claim most landing page advice gets wrong for this kind of product: a sharper headline will not fix it. Founders rewrite the hero line again and again, from Studio-quality visuals to Pro product photos to Your catalog, reshot by AI. None of it moves anything, because a sentence about image quality only makes the visitor wait for proof. For a generative media product, every adjective on the page is a promise, and the visitor is scrolling to check it. Turn the adjective into the image and there is nothing left to check.
The founder already sells this way, just not on the website. On calls he opens a folder on his desktop and shares the six-shoe grid before he says a word about the model. Then he goes back to the homepage and edits the headline again. He knows which prompts the model nails and which ones it fumbles. The homepage tells a visitor none of that.
A kitchen counter photo in, the marble shot out
Rebuild the hero, still as an example. Drop the blob. Put two images side by side at the same height. On the left, the input: the shoe photographed on a kitchen counter with a phone, a kettle cord in the corner, slightly blue light from a window. On the right, the output: the same shoe on grey marble with a softbox from the left and a long soft shadow. Under the output, in small monospace type, the prompt exactly as typed: white running shoe on grey marble, softbox from left, soft shadow, catalog crop. Under that, one plain line: Generated in nine seconds. Image 1 of 4. Not retouched.
Side by side beats a before and after slider. A slider hides half the evidence until someone drags it, and on a phone a drag inside the page fights the scroll. Two still images compare in one glance. The messy input matters too: it tells a store owner the phone photo they already have is good enough to start.
If your product is software that answers in text, the same idea is covered in how to show an AI product on a landing page. This post is for the products where the answer is a picture, and the picture has to carry the whole page.
Show the batch of four, including the weak one
Most generative galleries are the forty best images out of four thousand. Everyone who uses these tools knows the ratio, so a wall of perfect images reads as a sales trick rather than proof. It also sets the bar for the first session: a new user compares their first four images with the gallery, and if the gap is wide, they leave.
Show batches instead of winners. Pick a prompt, run it, and show all four results in a row, unedited, with a small mark on the one your team would ship. Add one hard case on purpose: a glass perfume bottle, a label with small printed text, a hand holding a phone. If the model gets the bottle right and smudges the label, show that and say so in a caption. Admitting a limit makes the rest of the page believable.
Sort the gallery by the buyer's job, not by art style. Footwear, cosmetics, food, furniture. A store owner looking for skincare shots should find them in one tap.
Put the prompt under every image
Every output on the page should carry its caption: the input it started from, the prompt as typed, and any setting that mattered, like aspect ratio or a brand preset. That caption does two jobs. It proves the image came out of the product and not out of a retoucher. And it teaches the visitor how to get a good result before they sign up, which is the hardest part of the first session for most generative tools.
Then give every caption a button that says Try this prompt. It opens the product with that prompt already filled in and a sample photo loaded. The visitor's first output is now one the team has already seen work, rather than a blank box and a guess.
Six lighting setups on a phone with one bar of signal
A page built from images has a weight problem that a page built from sentences does not. The hero image is usually the largest thing on screen, which makes it the element Google times for Largest Contentful Paint. Google's guidance is to keep that at 2.5 seconds or less for most visits. A full-size generated file, often several thousand pixels wide, will not get there on a phone.
- Export the hero at the size it is shown, in WebP or AVIF, and keep the original for the gallery's full view.
- Load the hero first and lazy-load everything below it. The six lighting shots can wait until someone scrolls.
- Skip an autoplaying video hero on phones. If the product makes video, show a still frame that is itself an output, with a play button, and keep the clip short and muted.
- Stop carousels from sliding on their own. Let people choose the next image, or lay the set out as a grid.
Heavy media and a fast page are not a trade. On the Sawdust site, a music licensing company where the catalog lets brands listen before they talk to anyone, the product itself is the proof on the page, and the build still scored 99 out of 100 on Lighthouse performance.
What a wallpaper hero costs an image company
Every visitor was paid for, through ads, content, or the founder's own evenings posting outputs. The blob costs those visitors whether or not they scroll. And because the page shows the same abstract shape as the rest of the category, which most AI sites now do, the visitor files the company as one more wrapper around an open model. Seed-stage AI startups raise at valuations roughly 42 percent above non-AI peers, and the Series A bar for AI startups is now around 3.5 million in ARR (Carta, Q1 2026). The homepage is where an image company first argues it is worth more than a free tool.
The cherry-picked gallery costs money in a second way. AI product builders average around 52 percent gross margin, against 70 to 80 percent for traditional software, and an image generator pays for every image a trial user makes. A visitor who signs up expecting gallery quality, makes twenty images, and leaves disappointed is pure cost. On SaaS and product-led products, activation usually sits at 20 to 40 percent, and a ten point lift in activation typically drives a 15 to 25 percent increase in free-to-paid conversion. An honest gallery and a Try this prompt button act on that number from the landing page.
This week: turn the page into pictures
- Print the homepage. Circle every word that describes the output: quality, realistic, on-brand, fast, any style.
- For each circled word, pick one real output that proves it. Replace the sentence with the image, or shrink the sentence into its caption.
- Build the hero pair. Take a plain photo a customer would really have, run it through the live product, and put input and output side by side. Do not retouch the output.
- Caption every image with its input, its prompt and one honest line, such as Image 1 of 4 or Not retouched.
- Add one batch of four and one hard case to the gallery, with the weak result left in.
- Export the hero at display size and test the page in PageSpeed Insights on mobile. Fix the hero before anything else.
- Show the page to an outsider for ten seconds. Ask what the product makes and whether they would use the result. If they can answer only the first, the outputs are too small or too far down.
If you would rather hand the rebuild to a studio, start with this comparison of landing page design agencies for AI startups, and if you are weighing a live sandbox instead of still images, read whether your AI product needs an interactive demo first.
Studio Maydit is a web and product design studio for AI founders in the US, UK and Europe. We design and build sites in Framer, Webflow and custom code, usually as a fixed scope of three to four weeks. For an image product, the job is to make the website look like the company your outputs say you are, so a stranger sees in the first screen what you have seen in thousands of generations. Your best images are already made. They just need to move from your desktop folder to the top of the page. If they are still in that folder, book a 30 minute call and bring the six shots you would show first.
