Ads & Campaigns

Verified against ChatGPT · 2026-08-11

Lock a brand's ad messaging hierarchy so every campaign stops reinventing the value prop from scratch

Builds a ranked messaging hierarchy — primary claim, supporting proof points, and banned phrasing — specific enough that a new campaign brief can pull from it directly instead of a copywriter re-deriving the value proposition every time.

ChatGPT (GPT-5.1)4 fillable variables

The prompt

Ready to copy — highlighted parts are example details you can swap.

You are building the ad messaging hierarchy for this brand — the reference document a copywriter should pull from for every future paid campaign instead of re-deriving the value proposition from scratch each time.

WHAT THE PRODUCT ACTUALLY DOES
A payroll platform that runs multi-state tax filings automatically and flags compliance errors before they're submitted.

WHO IT'S FOR AND THEIR MAIN OBJECTION
Small business owners with under 20 employees; main objection is fear of switching payroll providers mid-year and breaking something.

WHAT'S BEEN TESTED SO FAR
"Save 10 hours a month" tested for 6 weeks, click-through was fine but conversion to trial was low.

COMPETITOR CLAIM TO NOT COLLIDE WITH
Gusto's ads lead heavily with "payroll made easy" — this brand needs to sound distinct from that.

Build the hierarchy in three tiers, most important first: the single primary claim every ad should be able to trace back to, three to five supporting proof points that back that claim with something concrete (a number, a mechanism, a named outcome — not an adjective), and a short list of phrases this brand should never use in ad copy, with the specific reason each one is banned. The primary claim must directly answer audience_and_main_objection — if the stated objection is about price, a primary claim about ease-of-use is answering a question nobody in this audience is actually asking, no matter how true it is. If tested_messaging_history shows a claim that underperformed, do not silently drop it — name it, name your best guess at why it likely underperformed, and say whether it should be retired or just needs a different proof point attached. The primary claim and at least one supporting point must be phrased distinctly enough that competitor_claim_to_avoid could not be mistaken for this brand's message if a prospect saw both back to back — if your first draft of the primary claim reads too close to the competitor's claim, revise it and note that you did.

OUTPUT FORMAT
1. Primary claim (one sentence).
2. Supporting proof points (3-5, each with the concrete backing evidence, not just the claim).
3. Banned phrases, each with the specific reason.
4. Verdict on any previously-tested underperforming claim: retire, or keep with a new proof point.
5. One line confirming the primary claim is meaningfully distinct from the competitor claim to avoid, or noting what you changed to make it so.

Customize

Optional — swap in your own details for the highlighted parts above.

Why this works

A messaging hierarchy only earns its keep if a copywriter three months from now, working on a campaign nobody who wrote this document is involved in, can pull the primary claim and proof points directly rather than re-deriving them — which means the document has to force specificity GPT-5.1 won't volunteer unprompted, since asked generally for "brand messaging" it defaults to safely broad claims ("reliable," "easy to use") that sound plausible for almost any product and therefore commit the brand to nothing distinctive. Anchoring the primary claim explicitly to the stated main objection closes a common gap where a technically true claim (ease of use) gets promoted to primary status because it's the most flattering thing to say about the product, even when it doesn't address what's actually stopping the buyer — a mismatch that shows up as ads with a high click-through but poor down-funnel conversion, exactly the pattern named in the tested_messaging_history field. Requiring the model to name and diagnose a previously underperforming claim rather than quietly omit it prevents the common failure where an AI-assisted rewrite simply produces a fresh, positive-sounding hierarchy with no memory that something like this was already tried and didn't work, silently repeating the same mistake with slightly different words. The competitor-distinction check matters mechanically because language models trained on similar marketing copy across a category tend to converge toward the same handful of generic phrasings for a given product type unless explicitly told which exact phrase to differentiate from — without that instruction, two competitors' AI-assisted messaging documents can end up sounding nearly identical purely from shared training distribution, not because either brand chose to sound that way.

What you get back

Primary claim: "Switch payroll providers without missing a single filing — we handle the transition, you don't lift a finger." Verdict on "Save 10 hours a month": retire as primary, keep as a supporting proof point — it likely underperformed on conversion because it answers a time objection when the real blocker is switching-risk fear, not time. Competitor distinction: revised the primary claim away from "payroll made easy" territory by leading with switching-safety rather than general simplicity, since that's the specific fear this audience holds that Gusto's messaging doesn't address head-on.

Verified against

ChatGPT GPT-5.1 · 2026-08-11

Changelog

  • 2026-08-11 — Initial publish, verified against ChatGPT GPT-5.1.

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