Why Chomi
E-E-A-T content that only your own expert could write
Most AI writing tools start from a prompt. This is expert-led content built from a real conversation with the person who does the work.
From a prompt
Already published, so already everywhere.
From the interview
“Nine times out of ten the brief says one thing and the site survey says another, and we have stopped quoting before the survey because of it.”
Nobody else can say this.
The short answer
Genuine E-E-A-T content comes from a conversation with someone who actually does the work, not from a tool working off a prompt. A language model can only repeat information that has already been published, so the first-hand part has to be supplied by a person. That first-hand input is what search engines and AI assistants now treat as the sign of a page worth trusting.
What E-E-A-T actually means for a page
E-E-A-T is Google's shorthand for the four things it looks for behind a page: experience, expertise, authority and trust. It is not a score you can check. It is a set of judgements about whether the page was written by someone who has been near the subject.
The part people get wrong is assuming a page that reads well is a page that demonstrates knowledge. Those are separate. A well-structured, well-optimised page can still only describe what the topic is, which is exactly the tell that nobody with real experience was involved.
The four, in plain words
- Experience: the page shows the writer has done the thing, with specific cases rather than descriptions.
- Expertise: the page shows working knowledge of how the thing is done, including trade-offs.
- Authority: the business or author is a recognised source on that subject.
- Trust: claims are accurate, sourced and checkable, and nothing is overstated.
Is there an AI tool that generates truly E-E-A-T content?
No tool can generate it from a prompt alone. Tools that start from a conversation with a named expert can get there, because the missing ingredient is information, not instructions.
The market splits roughly three ways. Prompt-based generators write from a topic and a brand voice setting. Optimisation tools analyse what already ranks and tell you which terms and headings to add. Voice-first tools record you talking and turn it into assets. Each is useful, and the first two are genuinely fast, but only the third starts from something that was not already online.
Ask a model to write about digital marketing trends in 2026 and you get the published consensus. Ask a practitioner and you get the trend they have watched happen in their own accounts, which nobody has written down yet.
“Any kind of prompting does not fix generic content, because LLMs cite information that is already out there, that has already been published before. It learns from existing information. So no matter how much you prompt, you are still going to get that existing information.”
See how the interview gets at what only your expert knows.
See how the interview worksWhy specialist industries need their own expertise on the page
The thinner the public material on a subject, the worse generic output gets. In a broad consumer category a model has millions of pages to recombine. In a technical trade, a regulated service or a narrow B2B niche it has very little, so it fills the gap with general description and confident vagueness.
That is also where the wheels come off with human writers working alone.
“A content writer that does not have the expert information can get a lot of nuances wrong, a lot of specifics wrong, because they do not have the experience and the understanding of the industry. They only have the copywriting knowledge, the SEO knowledge, whereas the expert does not have the SEO knowledge, but they have the first-hand expertise.”
So customisation here is not a topic setting. What differs between two niche businesses is the knowledge base behind them: a business profile each client fills in once, plus their own brochures, presentations and documents. That profile shapes the brief, and the brief shapes the questions the expert is asked.
How an expert interview becomes the page
The shift is small and it changes everything. Instead of writing from a prompt, the tool writes from a transcript of the person who knows the answer.
The awkward part: this needs about fifteen minutes of a real person's attention, and we cannot verify subject-matter accuracy for you. We work on the assumption that an expert who wants good content will answer honestly. If nobody will talk, the interview has nothing to work with and the output is no better than any other AI tool. We would rather say that now than sell you a trial that disappoints.
Step 1
Profile and documents
The client fills in a business profile once, covering brand and offering, and uploads whatever already exists. The AI reads that before it writes a word.
Step 2
A brief for one specific page
Page type, keyword, the prompts people type into AI assistants, the reader and the job of the page. The brief names what to cover, not what to say, and you approve it before anyone is interviewed.
Step 3
The voice interview
Four to eight questions with follow-ups where an answer is thin. The platform generates them from the keywords, the prompts, the topic and the profile. If a question is wrong, the expert can say so mid-interview and get a better one.
Step 4
The finished piece
Written from the brief plus what was said, in blocks an AI assistant can quote, with keyword use kept inside a budget and the usual AI tells stripped out. You approve it the same way.
Shortcuts that feel like progress and change nothing
Every one of these is something a team reaches for when the pages are not landing, and every one of them leaves the page saying what it already said. They are listed here so the time is not spent on them twice.
What does not work, and why
- Rewriting the prompt a fifth time. A prompt can only reach what the model already holds, so a better prompt gets you a better arrangement of the same public information.
- Briefing a copywriter who has never spoken to the expert. They bring the SEO and the structure. The specifics come out wrong, and a reader in that industry can tell.
- Bolting credentials onto a generic page. An author bio and a reviewed-by line do not add experience to a page that still only explains what the topic is.
- Publishing more of it. Volume of commodity pages is not an authority signal.
- Trying to hide that AI was involved. Google does not push pages down for being written with AI. It pushes down pages that say what everyone else already says.
Questions people ask
No. The question is not which tool typed the words, it is what the words were built from. AI writing from a public topic prompt produces sameness. The same AI writing from a recorded conversation with your expert produces something only that expert could have said.
The profile and documents are done once and reused across everything you produce. The recurring part is one short interview per page, four to eight questions, with the person who knows that specific subject.
Accuracy comes from who answers, not from how clever the brief is. The platform generates the questions from your keywords, your profile and the prompts people type into AI assistants, and the expert can reject or redirect a question during the interview if it is off. Every brief and every finished piece is approved by a human before it goes anywhere.
You do. The finished piece and the knowledge base behind it are yours to publish, edit or take elsewhere.
Yes. Start with the free trial, run one brief and one interview on a page you actually need, then pick a plan. Single-business plans run from $19 to $119 a month. Agency plans, which add client switching and a knowledge base per client, run from $55 to $329, and Agency Scale adds white-label branding.
Ready to build content nobody else could write?
Chomi launched in 2026, so there is very little track record to show you yet, and we are not going to invent any. What we can show you is the method, and this page was written with it, from an interview with our founder. Run it on one of your own pages and judge the output.
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