GPT Image 2.5 Prompt Templates for Marketing: 12 Copy-Paste Briefs

Most GPT Image prompts people share are a paragraph of adjectives: cinematic, premium, clean, modern, high-end. Those words do not transfer. Run the same adjective prompt twice and you get two different brands. What transfers is a reference file, a palette with roles, a composition described in plain spatial language, and a short list of things that must never appear. That is a brief, and a brief can be a template.

The twelve templates below are built for ChatGPT Images 2.5, which shipped on September 8, 2026 with better reference fidelity, edits that hold across turns, and two API models: gpt-image-2.5-flare (fast, the default) and gpt-image-2.5-sunburst (slower, tighter control across successive edits). Each template names which one to use. If you generate inside ChatGPT rather than the API, Flare is what you get by default; the Sunburst templates are the ones where it is worth asking a tool that lets you choose.

Before the first template: the block you paste every time

Every template assumes two things are already in the chat before you paste it.

Your visual profile block. Palette with proportions, imagery kind per channel, subject rules, a never-list, and the references you attach. Turning Brand Guidelines into an AI Image Brief has the one-page template. If you skip this, the templates still produce images, and no two of them will look like the same company.

Three to five reference files. Your product, one photo-style sample, one illustrated-style sample, a palette swatch, and optionally a layout sketch. Images 2.5’s headline improvement is that it keeps the subject from a reference through edits. That only helps if the reference is attached. Reference images and brand consistency covers how to build the set in an hour.

Two habits make the templates work. Change only the fields in brackets; everything else stays constant across the set. And edit with on-image comments, not with a new prompt: a reprompt re-rolls the whole image, a comment fixes one thing.

The templates

Each template has the same shape: when to use it, which model, the brief, and the check to run before it ships.

1. Social tile, no text

When: LinkedIn, Instagram and X posts where the copy lives in the post, not the image. The default for most teams, most days. Model: Flare.

Create a [1:1 | 4:5] social image for [brand].
Subject: [one subject from the attached reference, e.g. "the product from reference 1"].
Setting: [one of the environments in the profile, e.g. "a plain studio sweep in our dominant color"].
Composition: subject in the [left | right | center] third, generous negative space on the [opposite] side, nothing in the bottom quarter.
Style: [photographic | illustrated] as in reference [2 | 3]. Palette: dominant [color], secondary [color], accent [color] on one element only.
Never: [never-list]. No text. No logo.

Check: does the subject match the reference? Is the negative space where you asked? If the model put something in the bottom quarter, comment on it rather than reprompting.

2. Social tile with one headline line

When: the rare tile where the words must be in the pixels (a quote card, an event date). Model: Flare.

Same brief as template 1, plus:
Text: render exactly this headline, once, in the negative space, in a clean sans-serif, in [accent color] on [dominant color]: "[five to seven words, no punctuation]". No other text anywhere in the image.

Check: read every image. Count exact matches. Images 2.5 is the strongest mainstream model for readable text, but one missing letter in ten tiles is one tile you cannot ship. Text in AI images after GPT Image 2.5 has the ten-prompt OCR protocol and the case for keeping text live instead.

3. LinkedIn concept illustration

When: a post about an idea rather than a product: a process, a trade-off, a before-and-after. Model: Flare.

Create a [1:1 | 1.91:1] illustrated image for [brand] in the style of reference 3.
Concept: [the idea in one sentence, e.g. "a single path replacing five tangled ones"].
Show it as: [one concrete metaphor from the physical world, e.g. "five cables feeding one clean socket"]. No people unless the profile allows them.
Composition: one focal object, flat background in [dominant color], recurring motif [from the profile] used once.
Never: [never-list], no robots, no brains, no sparkles, no floating UI panels. No text. No logo.

Check: would a reader understand the concept from the image alone? If the metaphor needed a caption, pick a plainer one. Illustrations drift in style more than photos do; lay this one next to the last three you shipped.

4. Email hero

When: the image at the top of a campaign email. Model: Flare, Sunburst if it is built from a product reference.

Create a [2:1 | 3:1] hero image for an email from [brand] about [the subject line's promise in plain words].
Subject: [reference 1 | an illustrated scene as in reference 3].
Composition: subject on the [left | right] half, the other half a calm field of [dominant color] where the email's headline will sit as live text. Nothing in that half.
Lighting: natural, soft, from the [left | right]. Palette and style per the profile.
Never: [never-list]. No text. No logo.

Check: does the empty half stay empty? Email clients render your headline as HTML text on top of it; the image must not compete. AI images for email marketing covers sizing and the dark-mode trap.

5. Landing page hero

When: the one image the whole page hangs on. Model: Sunburst, three candidates, then edit rounds.

Create a [16:9 | 3:2] hero image for the [brand] page about [what the page offers].
Subject: [reference 1, shown in use | the customer environment from the profile].
Composition: subject in the [right] third at [eye level], horizon or desk line at the lower third, the [left] two-thirds quiet enough for a headline and a button as live text.
Lighting and texture: natural, no lens flare, no glossy gradients.
Palette and imagery kind per the profile. Never: [never-list]. No text. No logo.

Check: generate three, pick one by eye, then fix it with comments only. Count the comments it takes to reach done; that number, not the first draft, is the cost of this asset. Do not chain edits from an edited output; always edit the original you chose.

6. Product lifestyle shot from a reference

When: your product in a scene, for ads, social, or a page. Model: Sunburst.

Using the product in reference 1 exactly as it is (same shape, same label, same colors, do not redraw it), place it [on a desk | in a hand | on a kitchen counter] in [one setting from the profile].
Camera: [45 degrees, slightly above | straight on at product height], shallow depth of field, product sharp, background soft.
Lighting: [window light from the left | overhead soft box]. Nothing else on the surface except [one or two props that belong].
Palette per the profile. Never: [never-list]. No text. No logo. Do not add a label, badge or sticker that is not on the reference.

Check: put the output next to the reference. Label, cap, proportions, color. Small details are where drift lives. If the label changed, do not accept the image and try again; it will keep changing. Composite the real label in afterwards.

7. Founder or team portrait from a photo

When: a founder post, an about page, a speaker tile. Model: Sunburst.

Using the person in reference 1, keep their face, hair, skin tone and build exactly as in the photo. Change only the setting and clothing as follows.
Setting: [the office or environment from the profile]. Clothing: [plain, in a secondary color]. Expression: as in the reference.
Composition: head and shoulders, subject in the [center | left third], soft background in [dominant color].
Style: [photographic as in reference 2 | illustrated as in reference 3].
Never: [never-list]. No text. No logo.

Check: the person has to agree it looks like them. Reference fidelity on faces was the widest gap between models in published tests and the first thing Images 2.5 claims to improve; it still fails sometimes. Never ship a face the person has not approved.

8. Diagram, process or infographic

When: a how-it-works image, a three-step process, a comparison. Model: Flare, with a @Sketch layout if the structure matters.

Create a [16:9 | 1:1] diagram for [brand] showing [the process in one sentence].
Structure: [three | four] steps, left to right, equal spacing, connected by simple arrows. Each step is one icon-sized illustration in the style of reference 3, nothing else.
Labels: none. (Labels will be added as live text. Leave a clear band under each step for them.)
Palette: steps in [dominant color], arrows in [secondary color], one step highlighted in [accent color].
Never: [never-list], no 3D, no gradients, no decorative shapes. No text. No logo.

Check: count the steps. Models add or merge steps when the spacing gets tight. If you must have labels in the image, keep each under four words and run the OCR check from template 2.

9. Carousel or multi-panel set

When: a LinkedIn or Instagram carousel, a multi-panel explainer. Model: Flare, one sketch, one instruction block for every panel.

This is panel [N] of [total] in one set. All panels share: aspect [4:5], background [dominant color], the layout in the attached sketch, the style of reference 3, and the palette and never-list in the profile.
Panel [N] shows: [one idea, one object].
Keep the same framing, scale and lighting as panel 1 (attached as reference 4). Do not introduce new colors, patterns or props.
Never: [never-list]. No text. No logo. No slide numbers.

Check: lay all panels in a grid before anything ships. Both GPT and its main rival struggle with footer and style consistency across panels in published carousel tests; the grid test catches it. Panel numbers and captions go on as live text.

10. Blog cover

When: the header image for an article. Model: Flare.

Create a [1.91:1] cover image for an article from [brand] titled "[title]" (do not render the title).
Show: [the article's one central object or scene, in one sentence].
Style: [illustrated as in reference 3 | photographic as in reference 2]. Composition: focal object in the [center | right third], calm background in [dominant color], recurring motif used once.
Never: [never-list]. No text. No logo.

Check: would this image still make sense next to the five previous covers on your blog index? Covers are seen as a set more than any other asset.

11. Event poster using the Poster template

When: a webinar, a meetup, a conference talk. Model: Flare, through ChatGPT’s Poster template.

Poster for [event name], [date], [city or online], hosted by [brand].
Headline to render, once, exactly: "[event name]". Secondary text, once, exactly: "[date] · [place]". No other text.
Visual: [one object or scene from the profile] occupying the top two-thirds, text in the bottom third on a [dominant color] band.
Style per reference [2 | 3]. Palette per the profile. Never: [never-list]. No logo (added after).

Check: read the date three times. Then run the same brief as a plain prompt without the template and compare; the template tends to produce a more finished composition, the plain prompt gives you more control. Decide which is your default for events and write it down.

12. Seasonal variation of an approved image

When: you have an image that works and need the autumn, holiday or end-of-quarter version. Model: Sunburst, always editing the original.

Starting from the attached approved image (reference 1), change only the following and nothing else: [the one thing, e.g. "replace the plant on the desk with a small pumpkin"] and [the second thing, if any, e.g. "shift the window light to late-afternoon warm"].
Keep the subject, framing, scale, palette and every other object exactly as they are.
Never: [never-list]. No text. No logo.

Check: overlay the variation on the original. Everything you did not mention should be identical. Each edit is a fresh draw, so set a drift budget first: what may change (light, one prop), and what never may (the product, the face, the palette). Keeping a campaign of AI images consistent is the longer version.

The four edit comments you will use most

Reprompting re-rolls everything. These one-line comments, pinned on the image in ChatGPT or sent as an edit instruction to the API, fix one thing:

• “Remove this object. Leave everything else as it is.”
• “Make this element smaller and move it to the lower left. Nothing else changes.”
• “This shadow is too heavy. Soften it. Do not change the light elsewhere.”
• “Replace this with [the thing from reference 1]. Same position, same scale.”

Count the comments per accepted image. Five or fewer means the template is doing its job. Ten means the template is missing a rule, and the fix belongs in the profile, not in the next prompt.

Scoring the templates on your own brand

A template is a hypothesis until you have run it ten times. For each asset type you actually ship, run the template on ten briefs with your real references and score the six tests from how to choose an AI image generator: text accuracy, reference fidelity, set consistency, edit locality, cost per accepted image, and rights and disclosure. Cost per accepted image is total generation spend divided by images you would actually ship; we go deep on it here. Keep the sheet. Rerun it when OpenAI ships the next version, which on current form is every few months.

Where Marqeable fits

The templates above are what a person pastes into a chat window. Marqeable generates images with OpenAI’s GPT Image 2.5 models inside the email, post or page the image belongs to, so the brief already carries the piece’s copy, the palette, imagery kind, exclusions and reference images from your brand profile, and the approved image lands in the draft with its prompt and references recorded. The template is the same; what changes is that nobody has to paste it, and the image that ships is the one a person approved. If you would rather see it on your own brand, we are in private beta with a small early cohort: get early access.

Frequently asked questions

What makes a good GPT Image 2.5 prompt for marketing?

A brief, not a description: the subject as an attached reference, the setting, the composition in plain spatial terms, the palette and imagery kind from your brand profile, a never-list, and a rule about text. Adjectives like premium or modern do not transfer between runs. References and rules do.

Should I use Flare or Sunburst for these templates?

Flare by default for volume work: social tiles, blog covers, concept illustrations, drafts. Sunburst for the image that will go through several edit rounds or must hold a product or a face from a reference: landing page heroes, product shots, portraits, seasonal variations. Both share the same per-token rate card; Sunburst takes longer. Flare vs Sunburst has the detail.

Can I put the headline in the image?

You can, and GPT Image 2.5 is the strongest mainstream model for readable text. But baked-in text cannot be edited, translated, resized or read by screen readers, and it is the first thing to drift across a set. The templates default to leaving space for live text and offer one opt-in variant (template 2) for a single short line, with an OCR check before it ships.

How do I keep ten images from one template looking like one brand?

Paste the same visual profile block and attach the same reference files to every generation, change only the bracketed fields, and edit with comments instead of new prompts. Lay the set out in a grid before anything ships. If it does not read as one brand, the profile is missing a rule, not the prompt.

The bottom line

Twelve templates, one shape: reference in, setting and composition in spatial terms, palette and never-list from the profile, no text unless you chose it, and a check before it ships. Flare for volume, Sunburst when the reference or the edit rounds matter. The templates will not make ChatGPT remember your brand tomorrow or know which email the image belongs to; that is the workflow around the model, and it is where the time goes. Inside one image, though, this is the difference between a prompt you rerun until it looks right and a brief that is right the second time.

Marqeable runs your campaigns, answers every visitor, text, and email in seconds, and turns them into booked jobs and meetings - even at 9pm on a Saturday. We’re in private beta with a small early cohort. Get early access