Research-to-Ad Prompt Blueprint
Turn product research, platform rules, and creative taste into one ad brief
- Difficulty
- Moderate
- Time to result
- ~days to results
- Steps
- 7
- Confidence
- 97%
Build the ad prompt as a complete creative brief rather than a short command. First research the product deeply enough to identify defensible benefits, proof points, positioning, and the value proposition for the intended audience. Add advertising practices and output requirements separately for each platform, because a LinkedIn scroll stopper, an Instagram treatment, and a Google search ad solve different creative problems. Then inspect every generated concept and impose human taste: replace unsuitable angles, define the desired degree of polish, enforce brand assets and colors, and list visual conventions the model must avoid. Existing successful creative can provide an additional anchor. The result is a structured specification that gives an ad-generation system both marketing context and clear creative boundaries.
Origin
Extracted from Marketing Against The Grain while the host built a cross-platform Replit ad prompt for HubSpot's customer agent product.
Core principles
- 01Understand the product before writing the advertisement
- 02Adapt concepts to each advertising platform
- 03Combine proven practices with human creative taste
- 04State exclusions as clearly as desired outcomes
- 05Give the generation tool sufficient brand and product context
How to run it
- 1
Set campaign scope
Identify the promoted product, audience, channels, quantities, and campaign purpose.
Pro tip Separate requirements by platform from the beginning.
Watch out Do not ask for undifferentiated ads across channels with different user behavior.
- 2
Research the product
Collect the product's core benefits, credible results, competitive positioning, and relevant customer problems.
Pro tip Prioritize specific proof points over generic claims.
Watch out Incorrect product context can produce polished but unusable advertising.
- 3
Research platform practices
Determine how effective copy, formats, and visuals differ across every requested advertising network.
Pro tip Connect each recommendation to the way users encounter ads on that platform.
Watch out A concept that works in search may fail in a visual social feed.
- 4
Define creative angles
Give each advertisement a distinct hook, message, proof mechanism, and intended response.
Pro tip Review concepts individually instead of approving the campaign as one block.
Watch out Multiple cosmetic variants of one idea do not constitute meaningful creative diversity.
- 5
Encode brand constraints
Specify voice, approved colors, logos, visual references, and any required style guide.
Pro tip Supply actual brand assets or sample creative when the tool supports them.
Watch out Naming a brand guide may not be enough for the model to reproduce a logo correctly.
- 6
Add negative constraints
List prohibited colors, illustration styles, layouts, clichés, and other known failure modes.
Pro tip Convert disliked first-round patterns into reusable exclusions.
Watch out Without a not-do list, models may repeatedly fall back to common AI aesthetics.
- 7
Apply human taste
Read the full prompt section by section and rewrite directions that feel generic, overly polished, or inappropriate.
Pro tip Describe the replacement direction rather than merely saying that an idea is bad.
Watch out Best-practice research cannot decide the campaign's distinctive taste for you.
In the wild
The brief requests three ads each for LinkedIn, Instagram, and Google, researches HubSpot's customer agent, provides positioning and brand direction, and assigns platform-specific concepts. The marketer then changes one LinkedIn concept to feel more homemade and anti-LinkedIn.
→ The final production prompt combines external knowledge with campaign-specific creative judgment.
After an initial batch introduces off-brand blue and post-apocalyptic illustrations, the marketer adds rules prohibiting unapproved colors and those illustration styles.
→ Later generations have clearer visual boundaries and a better chance of being usable.
Common mistakes
Ignoring product depth
Advertising cannot communicate meaningful value when the model lacks an accurate understanding of the product and audience.
Using one brief for every platform
Platform behavior, formats, and creative expectations differ, so identical directions reduce relevance.
Only describing what to create
Positive instructions alone leave common unwanted styles available; explicit exclusions close those paths.
Is it for you?
Best for
Teams and founders who need a comprehensive prompt for multiple advertisements or platforms.
Not ideal for
Campaigns whose strategy and finished creative specifications have already been supplied by an agency or designer.
From the transcript
“I want you to go and do deep research on that customer agent product, understand the core selling benefits, understand how you should position it,…”
“And again, like I said, you would go through section by section and do some edits.”
“One of the things that I should have done that I would advise you all to do is give it a not do list.”
From the episode
Can AI Actually Make Good Ads? Replit Ad Maker Review