Case content
Case content is your client work written as documentation: the starting point, the effort and the result, told so it can be checked. That is E-E-A-T in practice, evidence of real experience, which both future buyers and AI models weigh when they judge who is worth trusting. The deliverable usually sits inside Content Subscription, our ongoing content production.
Buyers research long before they reach out. They are looking for proof that you have solved a problem like theirs before. A good case answers that question before the meeting is even booked.
Readers are not the only audience. AI answers build their recommendations on sources that can be referenced: named projects, specific industries, documented results. Without cases, your experience exists only inside your own pitch.
Undocumented experience is a claim. Documented experience is an argument.
E-E-A-T starts with Experience: have you actually done the thing you talk about? A case is the most direct way to show it. Here was the starting point, this is what we did, and this is how it went. That form builds trust with readers who are trained to see through an empty promise.
The same documentation is what AI models cite. When someone asks ChatGPT or Perplexity to point to a supplier, the answer draws on sources with named clients, specific industries and described work. Your cases decide whether there is anything to reference when the question comes up.
The proof already sits in your client work. We make it visible and citable.
We start with the selection. Not every project should become a case. The right ones carry an argument with a recognizable starting point, a clear effort and a result that stands on its own. We prioritize the work that documents exactly the services and industries you want to win.
Then we produce. We interview you and your client, gather the data and write the case to a fixed structure: situation, approach, result. Quotes with a name and a role wherever possible, because that is what makes the experience verifiable.
Last we publish the case so it works: a clear structure and entities that search engines and AI models can read, internal links to the services the case proves, and a format your sales team can send ahead of a meeting. Nothing goes live until both you and your client have approved it.
The deliverable, part by part
A prioritized plan for the client work worth documenting: which argument each case carries, which searches and AI questions it should answer, and which service it should prove.
The bigger the decision, the more gets read before the first meeting.
You sell something the buyer researches thoroughly: long decision cycles, several people involved, and a price that needs a good internal argument. Here the cases get read before anyone reaches out, and they decide who even makes the shortlist.
You want to be cited when your market asks the AI models for advice. The models surface the companies that have documented their experience in public. That head start is yours to take, while others are still making claims.
What makes a case strong proof
A strong case makes an argument, where a weak one just retells the project in order. The reader has to recognize their own situation in the first few lines: same industry, same problem, same doubt. That match is what lifts a case above a nice story.
Results have to be specific and checkable. Numbers where they exist, and where they do not, the next best documentation: what was built, what changed, and what the client says about it. A precise quote with a name and a title carries more weight than anonymous praise.
The structure does a lot of the work. Situation, approach and result in fixed sections make the case easy to skim for a busy decision maker, and easy to decode for the search engines and AI models that need to understand who did what for whom.
Entities tie the case into the rest of your SEO: the client's name and industry, your services, the methods behind them. That connection is what lets an AI answer about experienced suppliers in your field land on you, while the case strengthens the pages it links to.
So cases have to sit where the rest of the site can reach them. They link to the services they document, and the services link back. That is how each case becomes one more piece of proof in a single story.
Behind the production runs Morrison, our own AI content ops platform. It has read your whole site and learns your voice from your own documents, so the cases sound like you even when there is a lot of work to document. You can see the form in our own cases.
Can your experience be found and cited today?
Free SEO analysisFrequently asked questions
It usually sits as a deliverable inside Content Subscription, where the cases work alongside the rest of the content production and the publishing rhythm. If you only need a handful of projects documented, we will find a frame that fits. Book a call and we will scope it together.
Not much, and at the right moments. You point to the projects and open the door to the client. We handle the interview, the data and the writing. Count on a short interview per case and one approval round with you and the client. The rest is our work.
Then we document the project anonymized: industry, starting point, effort and result. That is weaker proof than a named client, and we say so honestly. But a precisely described project without a name still beats a claim with no documentation, and an approved quote often falls into place once the client reads the text.
AI models recommend on the basis of sources they can read and reference. A case with named entities, a clear structure and results you can check is exactly that kind of source. We structure the cases so the models can understand who did what for whom, and we keep track of where you get mentioned.
On several surfaces: rankings and traffic on commercial searches, brand mentions in AI answers, and how the cases get used in sales. Do they get sent before meetings, and do they come up in the conversation? We report on the visibility and help you follow the rest.
Yes. Documented experience is more than record results. An honestly described project, what the challenge was, what was done and where it led, builds more trust than inflated percentages. And when the results grow, we update the case.
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