The flood
Before ChatGPT launched in November 2022, machines wrote almost none of what appeared online. Three years later, they write about half of it.
Two recent studies put numbers on this. Graphite analyzed 65,000 English-language articles and found that AI-generated writing passed 50% of newly published articles in late 2024, then leveled off near an even split with human writers (TechRadar’s summary). Separately, researchers at Imperial College London, Stanford and the Internet Archive estimated that about 35% of newly created websites were AI-generated or AI-assisted by mid-2025 (heise). Both studies rely on AI-detection tools, so treat the exact figures as estimates. The direction is not in doubt.
Text is only part of it. The same low-cost production has spread to platforms like YouTube and Instagram, and the researchers also reported that content diversity on the web is shrinking.
Here is why that matters if you run a business. When anyone can produce a competent 1,000-word article in 30 seconds, “competent” stops being an advantage. Your competitors can publish the same “ultimate guide” you can, built from the same sources, in the same tone. Readers feel that sameness even when they can’t name it.
That is a problem for your marketing today. It is about to become a bigger problem for the AI systems themselves.
The spiral
AI learns from what humans have written. So what happens when much of what’s written is itself AI output?
The loop looks like this:
- AI models are trained on text, images and video collected from the web.
- People and companies use those models to publish enormous amounts of new content.
- That new content lands on the same web.
- The next generation of models is trained on it.
Researchers at Oxford, Cambridge, Imperial College London, Toronto and Edinburgh studied exactly this in a paper published in Nature in July 2024. They found that indiscriminately training models on model-generated content causes lasting defects, in which the rare and unusual parts of the original data disappear (Shumailov et al., Nature). They called it “model collapse.”
Think of a photocopy of a photocopy. Each pass keeps the bold shapes and loses the fine detail. In the study’s best-known test, a model was fed text about medieval architecture. By the ninth generation of training on its own output, it was producing a list of jackrabbits (Scimex summary of the Nature paper).
Two things are worth taking from this.
- What disappears first is the unusual. The rare insight, the odd example, the specific detail. What survives is the average, which is why heavily AI-written content all starts to sound alike.
- The authors point to the fix. They noted that data about genuine human interactions becomes increasingly valuable as AI-generated content fills the web (Nature abstract), and that companies with access to human-generated content may build better AI than their competitors.
A fair caveat: the finding is about indiscriminate training, and AI companies work hard to filter their data. But filtering for what? Increasingly, for content that comes from real people with real experience. That is the content worth being.
Introducing the Soulprint of Human Content
At Apache Interactive, we use a term for what AI can’t supply: the Soulprint of Human Content.
A Soulprint is the verifiable trace of real human experience inside a piece of content. It is the part that exists only because a specific person was there, said it, saw it, measured it or felt it.
The word is a nod to the fingerprint. A fingerprint is unique, it identifies one source, and it can’t be produced by averaging a million others. Content with a Soulprint works the same way.
Some of the strongest, most evergreen sources of attention and traffic have been from expressing real value that your business provides: real-world examples, real photography, real statistics. Things that can’t be truly pulled out of thin air without the beauty of human experience – Matt Hoffpauir.
The key word in the definition is verifiable. AI can imitate the form of human content. It can write a testimonial, invent a quote or generate a smiling “customer” photo. What it can’t supply is provenance: a named person who actually said it, a date it actually happened, a photo taken at a place you can identify, a number someone actually measured. Readers are learning to ask where content came from. So are the AI systems that decide what to cite.
Three quick questions tell you whether content has a Soulprint:
- Could this have been written without anyone being there? If yes, it has no Soulprint.
- Can the reader tell who is behind it? A name, a role and a track record count. “Our experts” doesn’t.
- Does it contain something that didn’t exist until you published it? An original photo, a first-hand result, a survey, a story only you can tell.
The Soulprint is not anti-AI. Used well, AI makes drafting, research and editing faster, and Apache Interactive uses it that way. The Soulprint is what a human adds on top, and it is where the value comes from.
The four pillars of the Soulprint
We group the Soulprint into four pillars. Most strong content uses at least one from each.
1. Lived Voices
Includes: testimonials and social proof, quotes, letters and messages from real people.
These are other people’s words, in their own voice. A reader can sense the difference between “Great service, highly recommend!” and a client explaining what was broken before you arrived and what changed afterward.
Why AI can’t supply it: a generated testimonial has no one behind it. A real one has a name, a role and a business a reader can check.
Make it count: use names (with permission), exact words, and specific details. Keep the client email that says “this fixed our biggest headache” and quote it. Pull a short line from an interview with your own team and attribute it.
2. Witnessed Reality
Includes: original photography and video, hand-drawn sketches, local and cultural detail.
This is proof that someone was physically there. Stock and generated images show a generic world. An original photo shows your world: your team, your shop floor, your product in use, the regional event that changed a client’s traffic for a week.
Why AI can’t supply it: AI can render a plausible scene. It can’t witness one.
Make it count: photograph the real work as it happens, add captions that say who, where and when, and sketch the whiteboard instead of redrawing it in a design tool. Imperfect beats polished here.
3. Earned Proof
Includes: case studies, original data and research, statistics you collected or analyzed yourself.
This is the pillar that carries the most weight with executives. A case study shows a real problem, a real decision and a measured result. Original data, such as a survey of your customers or an analysis of your own campaign results, is knowledge that didn’t exist before you produced it.
Why AI can’t supply it: AI can only recombine what is already published. It can’t run your survey or measure your results.
Make it count: a statistic copied from another page is not earned proof. A number your team measured is. Say how you measured it, over what period, and what it doesn’t show.
4. Human Perspective
Includes: storytelling, personal reflections, spontaneous humor, emotional subtext.
This is judgment and feeling: the opinion you’ll defend, the lesson from a project that went wrong, the joke that only works because you were in the room, the relief that comes through in a client’s story without anyone naming it.
Why AI can’t supply it: AI can write sentences about a lesson learned. It hasn’t learned one.
Make it count: tell the story with the mess left in. Include the mistake, the doubt and what you’d do differently. Take a position and say why. Don’t force the humor. If it isn’t natural, leave it out.
Why the Soulprint matters for search and AI visibility
No one can promise that human content will rank. But three pieces of evidence point the same way.
Google rewards original, helpful content, however it’s made. Google’s own guidance says its systems aim to reward original, high-quality content that demonstrates E-E-A-T: experience, expertise, authoritativeness and trustworthiness (Google Search Central). The first “E” is experience, and that is the Soulprint. Google also asks publishers to consider the “Who, How and Why” behind content: who created it, how it was made, and why it exists. Named authors, photographs and documented testing are the kind of evidence it points to (Search Engine Land).
Most mass-produced AI content goes unseen. The Graphite study found that most AI-generated articles don’t appear often in Google results or in ChatGPT answers, even though they are now about half of what’s published (TechRadar). Volume isn’t visibility.
AI answer engines favor content with quotes, statistics and citations. A Princeton-led study presented at KDD 2024 tested ways to improve visibility in generative AI answers. Adding citations, quotations from relevant sources, and statistics each boosted visibility substantially, by over 40% in some tests, and gains on Perplexity reached 37%. Keyword stuffing didn’t help (Aggarwal et al., arXiv).
Two honest notes on that last study. It tested content features, not “humanness” itself, and lift figures like these are best read as a direction, not a guarantee. But look at what it found helped: quotes, statistics, and sourced claims. Those are exactly what the Soulprint produces. And an original quote from your own client, or a statistic from your own research, is something no competitor can copy because it exists only on your site.
The practical conclusion: in a web full of average content, the original material is what gives search engines and AI answer engines a reason to choose you.
The Soulprint audit: 10 questions for any page
Pick an important page on your site, such as a main service page or a top blog post, and answer yes or no.
- 1. Does every testimonial have a real name, role and company, used with permission?
- 2. Does the page include at least one direct quote from a named person?
- 3. Were the photos taken by your team, with captions that say who, where and when?
- 4. Does the page link to a real case study with a measurable result?
- 5. Does it include at least one number you measured yourself, with a note on how?
- 6. Does it have a named author with a real bio and photo?
- 7. Does it tell a story with a real problem and a real outcome?
- 8. Does it include an opinion or lesson that is specifically yours, including something that went wrong?
- 9. Does it include local or industry detail that only an insider would know?
- 10. If you removed your logo, could a reader tell this wasn’t written by a competitor or a chatbot?
A rough guide: 8 to 10 yes answers means the page carries a strong Soulprint. 5 to 7 means a solid base to build on. Fewer than 5 means the page is probably interchangeable with what everyone else is publishing, and it is the best place to start.
How Apache Interactive builds the Soulprint into your content
Apache Interactive has been helping businesses communicate online since 1998. We use AI to work faster, and we use people to make the work worth reading. For clients, that looks like this:
- Soulprint audit. We score your key pages against the ten questions above and show you where your content is interchangeable.
- Capture. We interview your team and customers, collect real testimonials and quotes, and plan original photography and video.
- Proof. We turn your results into case studies and, where it makes sense, original data your competitors can’t copy.
- Craft. We write and structure the content for search and AI visibility, with your named experts and real stories at the center.
- Measure. We track rankings, traffic, engagement and citations in AI answers, so you can see what the Soulprint is worth.
The web will keep filling with content that sounds right. The content people trust, and that search engines and AI systems choose to cite, will be the content with real people and real experience behind it.
Ready to find out how much of your content has a Soulprint? Contact Apache Interactive for a content review.
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