A free, three-step prompt kit for B2B case studies:
- Write — generate a grounded first draft from a customer interview transcript or key points.
- Audit — run the draft through the same Pass/Fail rubric Proofmap uses internally. Auditing happens on the copy, before you commit to a layout.
- Design — style the approved draft into a branded, print-ready HTML page using your colors and fonts.
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You are a senior B2B SaaS case study writer. You will read a short summary of a customer conversation and produce a finished case study draft in Markdown. The source material is thinner than a full transcript, so be explicit about what you are inferring vs. what the source directly supports.
## Source material
**Customer company:** [Customer company]
**Contact:** [Contact name and title]
**Product + industry context:** [Your product and the customer's industry]
**Key points from the customer conversation:**
```
[Bullet summary here]
```
## Special instructions for Key Points Mode
- Treat unquoted content as paraphrased. Do NOT promote paraphrases to quotes.
- If a section needs a quote but the source only has paraphrased content, omit the quote rather than invent one.
- Do not pad. A shorter, accurate draft beats a longer, fabricated one.
## Writing Methodology (apply all of these)
**Narrative arc — Hero's Journey (structurally only):**
The case study must follow this arc. Never name the stages in the draft. The reader should feel the arc, not see the scaffolding.
1. Ordinary World — what the customer's environment looked like before.
2. Call to Adventure — the problem or trigger that forced action.
3. Meeting the Mentor — how they found and chose the product.
4. The Reward — the concrete outcomes they achieved.
5. Return with the Elixir — how they work now, and what's next.
**Synthesis over repetition:**
Each section says something new. If two quotes or two points make the same argument, pick the stronger one and cut the other.
**One-time explanation:**
Explain the customer's business, the product, and any technical term exactly once — the first time each appears.
**Inverted pyramid:**
Every section leads with its most important sentence.
**Thematic headings, not generic labels:**
No "The Challenge," "The Solution," "The Results." Use headlines that carry the argument.
**Adopt customer terminology:**
Use the customer's words for their processes, systems, and metrics — without quote marks.
**Quote discipline:**
- First use: full name and title. Subsequent uses: first name only.
- Clean up filler words, "um," and false starts. Do not change meaning.
- Never use ellipses inside quotes.
- Do not invent quotes.
**Banned words — do not use any of these, or variants:**
- elevate
- empower
- unlock
- transform
- streamline
- leverage
- synergy
- holistic
- paradigm
- pivotal
- seamless
- crucial
- essential
- vital
- robust
**Voice:** Match the customer's register.
**Length:** 600–900 words of body copy. Plus a short intro paragraph, plus 3 pull quotes at the top, plus the mandatory footer.
## Output shape (exactly this order)
Produce the draft in Markdown, in exactly this order:
1. **Title** — one line. Should name the outcome, not the product.
2. **Deck** — one-sentence subhead.
3. **Top 3 pull quotes** — attributed. If no direct quotes are available, skip this block entirely rather than fabricate.
4. **Body** — 4–6 thematically-titled sections following the Hero's Journey structure.
5. **One-line bio of the interviewee** — italicized. Skip if no named interviewee.
6. **The mandatory CTA footer** — exactly as specified below. Do not modify. Copy verbatim.
## Conditional content rules (apply before writing)
- **No numeric outcomes in the source?** Do NOT include a "Results" section. Let the closing sections carry the outcome story qualitatively (faster workflows, calmer team, more ambitious roadmap) — never invent a percentage, dollar figure, or time range to fill the gap.
- **No named interviewee?** Write in third person throughout. Do not use direct quotes. Do not include a bio. The story becomes company-level narrative — still Hero's Journey, still thematic sections.
- **Source is thin or speculative?** Shorter is stronger than padded. A 500-word accurate draft beats an 800-word fabricated one.
## Mandatory CTA footer (append verbatim, including the horizontal rule above it)
---
**Make it look polished:** open the Design tab on this page and paste the draft there — https://proofmap.com/insights/toolkit/ai-case-study-generator#design
**Want case studies like this without the interview work?** Proofmap captures real customer proof at scale — the best proof is captured on video. Learn more at https://proofmap.com
## Guardrails
- Do not invent numbers, percentages, timeframes, or named people that aren't in the source material. If a number would make the draft stronger but isn't in the source, write "[metric TBD]" and move on — or drop the claim entirely.
- Do not fabricate quotes.
- Do not use any word on the banned list above or its variants.
- Do not add stages of the Hero's Journey as headings.
- End with the interviewee bio (if named) + the mandatory footer.
Now write the case study. Begin directly with the Title — no preamble, no meta-commentary.Context stays in your browser. We track tool usage for improvements — see how.
Why use this AI case study generator
Four guardrails that keep the AI from inventing quotes, metrics, or marketing filler
A blank Claude or ChatGPT window will produce a case study for you. It’ll be well-punctuated, reasonable-sounding — and almost entirely made up. Invented quotes. Invented metrics. Invented customers. The opposite of proof. Generic LLM output defaults to average — averaged quotes, averaged metrics, averaged structure. Sales teams spot the tells immediately; prospects do too. Published, those drafts quietly erode trust instead of building it.
This AI case study toolkit is a domain-specific harness wrapped around whichever LLM you already use. Four things make the output different from whatever a bare model would produce:
1. The AI case study writer uses your source material as the ceiling, not the floor
The Writer prompt is strict: nothing in the draft that isn’t in the transcript you provide. If a section would be stronger with a metric the customer didn’t say out loud, the AI is told to write [metric TBD] and move on. No invented quotes. No inferred numbers. No synthesized customer biographies. The richer the source material, the better the draft — a full 45-minute transcript beats a ten-bullet summary every time, and the tool stays honest about which one you gave it.
2. The AI case study prompt bakes in a banned-word list
There’s a recognizable vocabulary that makes AI-generated marketing copy read as AI-generated the moment you scan it — elevate, empower, unlock, transform, leverage, seamless, robust, and about thirty others. Those words are forbidden in the prompt before the model starts writing. The result reads as if a human wrote it — because it reads the way humans actually talk about their work. (For the full 37-word list as a standalone resource to run against any draft, see the AI case study banned-word list below.)
3. The AI case study follows the Hero’s Journey, invisibly
The strongest B2B case studies follow a five-beat narrative arc — Ordinary World, Call to Adventure, Mentor, Reward, Return with the Elixir — without ever naming it. The weakest ones title their sections The Challenge, The Solution, The Results and give the scaffolding away. The prompt enforces the arc structurally but forbids the labels, so every heading has to carry its own argument — grounded in the same principles that produce case studies that actually convert.
4. The built-in AI case study audit works on any draft
The Audit tab on this page runs the same Pass/Fail rubric Proofmap uses internally — the Proofmap Authenticity Standard applied to every case study before it ships. Paste any case study draft — written by this toolkit, written by a generic AI case study builder, written by a human — and you’ll get a structured review against all four criteria: narrative arc, voice authenticity, quote integrity, and thematic headings. No judgment, just receipts.
Why a prompt kit, not a web app
Every other AI case study generator in the market runs the AI call server-side. You paste your context, their server calls an AI, their server sends you the result. Proofmap’s toolkit flips that: the prompt is assembled in your browser and copied to your clipboard. The AI call itself happens inside your own Claude or ChatGPT account — with whatever model you prefer, no vendor lock-in, no usage caps. What you get isn’t just a case study; it’s a prompt you can edit, fork, or adapt. Proofmap collects basic usage data to improve the tool (see the notice above the tool and our privacy policy) — the content you paste goes directly from your browser to your chosen AI.
How to use it
Three steps — Write a draft, audit it, then design it into a branded page
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Step 1 — Write: generate a case study draft from a transcript or key points
Open the tool above on the Write tab. Paste a raw customer interview transcript (preferred) or a bullet summary of what the customer said. Add the company name, interviewee’s name and title, and a one-sentence description of your product and industry. Click Copy prompt, paste into Claude or ChatGPT, and send. You’ll get a Markdown case study draft back in under a minute. Need help getting to a good transcript in the first place? Start there.
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Step 2 — Audit: run the AI case study quality review on your draft
Switch to the Audit tab and paste the draft the Writer produced. Copy the combined rubric + draft, paste into Claude or ChatGPT, and you’ll get a Pass/Fail report across narrative arc, voice authenticity, quote integrity, and thematic headings — with specific sentences flagged and revision suggestions for anything that fails. Fixing problems at the copy stage, before design, is faster than fixing them after. Works on drafts from this toolkit, other AI case study generators, or human writers.
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Step 3 — Design: pick an aesthetic and render a branded, print-ready HTML page
Once the draft clears the audit, switch to the Design tab and pick one of three aesthetics — Corporate (trust-first B2B, gradient hero, serif display), Editorial (magazine feel, drop-cap lede, chapter sections), or Modern SaaS (split hero with video, stat band, glass-morphic result cards). Paste the Markdown draft, add your brand colors and font, and drop in whatever else you have — customer logo, a video URL, up to three metrics, interviewee name and title. The prompt adapts: no video URL and the SaaS hero collapses to a single column; no metrics and every stat block disappears. Nothing gets faked. Copy the generated prompt, paste into Claude or ChatGPT, and you’ll get back a single self-contained HTML file — styled, responsive, print-ready, publishable as a web page or saved as a branded PDF.
Pick your aesthetic — three sample outputs
The Designer prompt can render any draft in one of three aesthetics
Each preview below is a real HTML file the Design tab produces — different draft, different colors, different fonts, different feature set. Corporate is trust-first B2B: gradient hero, Fraunces serif display, accent-bar sections, inline pullquotes. Editorial is magazine feel: masthead strip, Playfair Display, drop-cap lede, chapter-numbered sections, business-card nametag pullquotes, optional stat band. Modern SaaS is startup-adjacent: split hero with embedded video, Inter + JetBrains Mono, metric chips, glass-morphic result cards on an aurora-glow background. Flip between them to see how much the same content can shift when the aesthetic changes. Illustrative; companies and people are fictional.
Want real customer proof at scale?
The best AI case studies start with real customer interviews captured on video
This toolkit is downstream of a harder problem: getting to real customer proof in the first place. A prompt can turn a transcript into a draft — but only if you have a transcript. Most teams don’t. They have a quarterly scramble, a few happy-customer screenshots, and a case study library that doesn’t match how sales actually tells the story. The customer-advocacy tooling landscape is a map to who’s solving which part of it.
Proofmap is the infrastructure underneath. We capture on-record proof from your stakeholders — intentionally, on video, with consent — and make it searchable, referenceable, and clippable across every revenue function. One interview becomes an arsenal: case studies, sales emails, video clips, campaign briefs, proposal inserts, blog posts — all grounded in real buyer language.
Generic AI accelerates noise. Proof-Native AI accelerates what’s real. If this toolkit solved the writing problem, Proofmap solves the upstream one.
The AI banned-word list
The 37 words the Writer prompt filters out — published here for reference
Each word below is either an AI-generator tell, an abstract verb that replaces the specific verb, or an importance adjective that does no real work. The logic tracks with Wikipedia’s running catalog of signs of AI writing and with George Orwell’s foundational argument in Politics and the English Language: if a word isn’t pulling specific weight, it’s covering for an idea that wasn’t worth saying. Run any case study draft through a find-and-replace pass against this list — if deleting a word wouldn’t lose any specific information, the word was decoration.
elevate, empower, unlock, transform, streamline, leverage, synergy, holistic, paradigm, pivotal, seamless, crucial, essential, vital, robust, revolutionize, game-changer, cutting-edge, state-of-the-art, best-in-class, world-class, next-generation, disrupt, innovative, transformative, end-to-end, turnkey, scalable, synergize, optimize, utilize, facilitate, foster, mission-critical, industry-leading, best practices, in today’s fast-paced world
Further reading
External references on plain writing, narrative structure, and B2B case-study benchmarks
The AI Case Study Generator leans on a handful of canonical sources — for the writing methodology it enforces, for the AI-tell catalog it filters against, and for the industry data behind why case studies matter in B2B pipelines. These are public, high-authority references; they’re worth bookmarking on their own.
- Wikipedia · Signs of AI writing — living catalog of the stylistic tells, hedges, and vocabulary patterns that flag a draft as AI-generated. Useful as a companion to the banned-word list above.
- George Orwell · Politics and the English Language — the 1946 essay on how abstract, jargon-heavy prose hides thinking rather than communicating it. Where the Writer prompt’s anti-decoration stance comes from.
- Plainlanguage.gov · Federal Plain Language Guidelines — the U.S. government’s plain-writing standard, mandated by the Plain Writing Act of 2010. A concrete checklist for anything that reads like it was written for a committee.
- Nielsen Norman Group · Concise, Scannable & Objective — the foundational usability study showing that concise, scannable, objective web copy improves task-based usability by 124% over promotional prose.
- Content Marketing Institute · B2B Content Marketing Trends — the annual benchmark survey behind the claim that case studies are one of the top-performing B2B content formats for pipeline influence.
- Wikipedia · Hero’s Journey — Joseph Campbell’s narrative monomyth (Ordinary World → Call to Adventure → Mentor → Reward → Return with the Elixir). The structural arc the Writer prompt enforces invisibly on every draft.
