- A fill-in case study template for documenting AI search improvement results
- Covers the before/after framework, data visualization, and storytelling structure that actually gets read
- Includes sections for metrics, methodology, timeline, and results with visual components
- Use it to win new clients, get internal buy-in, or build your brand’s authority
Your Results Are Worthless If Nobody Sees Them
You did the work. You improved the content. You built the entity presence. You got cited by Perplexity. But if that story lives in a spreadsheet nobody reads, it’s doing nothing for you.
Case studies are the most powerful sales and marketing tool for AI search agencies and in-house teams. They prove you can deliver results. They show prospects what’s possible. And they build your authority in a space where most people are still figuring things out.
This template gives you the structure to turn raw results into a compelling story. Fill in your data, customize the narrative, and publish. It works for blog posts, PDFs, proposals, or presentations.
The 7-Section Case Study Structure
The Headline
Lead with the result, not the process. “How [Brand] Increased AI Citations by 340% in 90 Days” beats “Our Work with [Brand] on AI Search Improvement.”
The Snapshot
Key metrics at a glance. 3-5 numbers the reader can scan in 10 seconds.
The Challenge
What problem did the client face? Why did AI search matter to their business?
The Approach
What did you do? Keep it framework-level. Save the tactical details for the methodology section.
The Results
The numbers. Before and after. With visual context.
The Methodology
Detailed breakdown of what was done and when. This section is for readers who want to learn, not just be impressed.
Key Takeaways
What did you learn? What would you do differently? What can others apply?
Section 1: The Headline
Your headline formula: [Result] + [Metric] + [Timeframe]
Examples:
- “How a SaaS Company Went From 0 to 47 AI Citations in 90 Days”
- “340% Increase in AI Referral Traffic: A B2B Case Study”
- “From Invisible to Cited: How [Brand] Won 12 Perplexity Citations in 8 Weeks”
The headline is the most important line. It determines whether anyone reads the rest. Lead with the most impressive number.
Section 2: The Snapshot
Use a stat grid to show the key metrics immediately. Readers should understand the scale of results before reading a single paragraph.
Pick 3-5 metrics. Not more. Too many numbers dilute the impact. Choose the ones that make the strongest business case.
Section 3: The Challenge
Write this as a story, not a bullet list. The reader should see themselves in the client’s situation.
Template:
“[Client name/description] is a [type of company] that [what they do]. They were getting [X sessions/month] from organic search but noticed something concerning: [specific problem related to AI search]. When they tested their brand on ChatGPT, [what happened]. Their competitors were [what competitors were doing better]. They needed a strategy for getting cited in AI-generated answers without abandoning their existing SEO program.”
Include specific details. “A 50-person B2B SaaS company selling marketing automation” is better than “a technology company.” Specificity makes case studies believable.
Section 4: The Approach
High-level overview of what was done. Use a timeline or process steps.
Audit and Analysis (Weeks 1-2)
[Describe what the audit covered. Entity presence, schema status, content scores, competitive analysis. Reference specific findings that drove the strategy.]
Foundation Building (Weeks 3-4)
[Describe technical improvements. Schema implementation, robots.txt configuration, entity profile creation. Be specific about what was implemented.]
Content Improvement (Weeks 5-8)
[Describe content changes. How many pages improved, what signals were addressed, any new content created. Include specific examples of changes made.]
Monitoring and Iteration (Ongoing)
[Describe the monitoring setup and how results were tracked. What adjustments were made based on early data.]
Section 5: The Results
This is what everyone reads. Make it visual. Make it specific. Make it undeniable.
Citation Results
Traffic Results
| Metric | Before | After | Change |
|---|---|---|---|
| AI Referral Sessions/Month | [X] | [X] | [+X%] |
| Perplexity Citations | [X/20 queries] | [X/20 queries] | [+X] |
| ChatGPT Recognition | [Not recognized / Partially known] | [Accurately described] | [Improved] |
| Content AI Score (Average) | [X/100] | [X/100] | [+X points] |
| AI Traffic Conversion Rate | [X%] | [X%] | [+X%] |
Always include before AND after. Absolute numbers AND percentages. And if possible, compare AI metrics to traditional SEO metrics to show the relative value. The 4.4x conversion advantage from AI search is a powerful comparison point.
Section 6: The Methodology
This section is for the tacticians. The people who want to learn from your case study, not just be impressed by results.
What to Include in Methodology
List exactly what schema was added. Organization, Person, FAQ, Article, Product. Include any custom properties like sameAs or knowsAbout.
Describe specific content improvements. “Added direct answer paragraphs to the first 200 words of 15 pages.” “Created FAQ sections with 3-5 questions on 20 pages.” Be concrete.
What was done for entity presence? Wikidata entry created, business profiles updated, author entities built.
When did each phase start and end? When did the first citation appear? When did traffic start growing? This timeline helps readers set realistic expectations.
What tools were used for the project? Be transparent. If you used our schema generator or citation checker, mention it. If you used paid tools, mention those too.
Section 7: Key Takeaways
End with 3-5 takeaways that apply beyond this specific case.
Template takeaways (customize with your actual learnings):
- “[Specific finding about what drove the most citation improvement]”
- “[Timeline insight, e.g., ‘Perplexity citations appeared in Week 3, ChatGPT took 10 weeks’]”
- “[Something surprising or counterintuitive, e.g., ‘Short FAQ answers outperformed long-form content for citation rates’]”
- “[A recommendation based on the results, e.g., ‘Start with your 10 highest-traffic pages, not your newest content’]”
- “[An honest admission, e.g., ‘We still can’t predict when ChatGPT will update its knowledge about a brand’]”
The takeaways section is where you build credibility. Honest, specific insights show expertise. Generic advice like “content quality matters” shows nothing.
Making the Case Study Work Harder
Distribution Checklist
Case studies on your blog build your topical authority and give you content to share. For context on how this helps your own AI visibility, read our AI search improvement guide.
Link to the case study in every AEO proposal. “Here’s what we did for a similar company” is the strongest proposal closer. See our AEO proposal template for how to integrate it.
Design a one-page PDF version for quick sharing. Include the snapshot metrics, a 2-sentence challenge, a 2-sentence result, and a CTA.
Post the key metrics with a link to the full case study. AI search results get engagement because the topic is hot and most people don’t have case studies to share yet.
Reference the case study during sales calls. “We helped a similar company go from X to Y citations in 90 days. Here’s the case study.” Then send the link.
Tips for a Better Case Study
Get client permission. Always. Even for anonymized case studies. Some clients prefer to be named (it builds their brand too). Others want anonymity. Ask before publishing.
Be specific about what didn’t work. The most credible case studies include failures. “We expected FAQ schema to drive ChatGPT citations, but the impact was primarily on Perplexity. ChatGPT citations came from entity building, not content changes.” Honesty builds trust.
Include a timeline. Readers want to know how long things take. “Results in 90 days” is more useful than “results.” Most AEO results take 60-90 days for Perplexity, 3-6 months for ChatGPT. Set honest expectations.
Don’t exaggerate. If you went from 2 citations to 8, that’s a 300% increase. But it’s also just 6 new citations. Present both the percentage and the absolute numbers. Percentages alone can be misleading with small base numbers.
For understanding the broader market context to frame your results, reference our AI search market share data.
Ready to Create Your Own AI Search Success Story?
Start with a free AI visibility audit. We’ll show you where you stand, identify your opportunities, and build the plan for results worth documenting.
Frequently Asked Questions
1,500 to 2,500 words for a blog post version. Enough to include meaningful detail and methodology, but short enough that people actually read it. For a PDF or presentation version, condense to 3-5 pages with more visuals and fewer words.
Yes. In a new field like AI search improvement, any documented results have value. Going from 0 to 5 citations is a meaningful case study because most brands have zero AI search strategy. Be honest about the scale, and focus on the methodology and learnings rather than just the numbers.
Ask the client. Named case studies are more credible, but some clients prefer anonymity. If anonymizing, still be specific about the industry, company size, and context. “A 50-person B2B SaaS company” is useful. “A technology company” is too vague to be credible.
The core metrics are: citation frequency (% of target queries cited), AI referral traffic (sessions from AI platforms in GA4), content AI readiness scores (before and after), and competitive position (your citation rate vs competitors). If possible, also track AI traffic conversion rate and revenue attributed to AI referrals.
