In short
- Dagomi suggests topics rather than just phrasing text — the bottleneck is the idea, not the typing.
- Its sources are your services, your company knowledge and dictated thoughts. No customer details, no names.
- Every post comes with an image: a rendered card, a carousel or an AI image — with you in it if you want.
- Publishing runs through a Make scenario in your own account. Nothing goes out without your approval.
The real problem
People who want to post regularly rarely fail at the writing. They fail at the blank page. “About what?” is an honest question, and a text generator does not answer it — it only phrases more nicely whatever you feed it.
That is why the heart of this area is finding topics, not producing text. Dagomi works through what you offer and what you have captured, and suggests angles that follow from it. Every suggestion states what it is based on — which service, which thought, which note.
Where the topics come from
From three sources: your service catalogue, the company knowledge from setup, and the thoughts you capture in “My knowledge” — often dictated right after a customer conversation. That is precisely the difference to any writing tool: the topics come out of your head, not out of the internet average.
What explicitly does not go in: customer names, offer details, revenue figures. A post is built from your stance and your experience, not from a customer record.
From a thought to a post
Whoever captures something should not have to think it twice. Every thought in “My knowledge” has a “Turn this into a post” button, which produces a draft directly. The path from “someone should say that” to a finished text is one click long.
The image to go with it
A post without an image gets scrolled past. Dagomi offers three routes: a rendered card in six styles, a carousel built from the existing text — carousels tend to get more attention on LinkedIn — or a genuine AI image in seven moods, from editorial to deliberately provocative.
Cards and carousels cost nothing, because Dagomi renders them itself. An AI image costs a few cents. The headline on the image is also drawn by us — so every text change is free and special characters sit where they belong instead of being a matter of luck.
You in the picture
If you post under your own name, an image of you is more credible than a stock subject. For that you store two to six neutral photos of yourself. When generating, Dagomi puts you into the picture — into the scene that fits the post.
Dagomi derives the expression from the text: a post that clears up a misconception gets a sceptical look, an open question a thoughtful one. What was derived is shown — and you can override it at any time.
Two things we say openly, because they save you disappointment. First: these photos never leave your browser. They live locally on the device and are only sent along at the moment an image is generated — Dagomi stores them nowhere. Second: generated close-ups of a person your contacts know personally read as “somehow off”. For portraits, your real photos are better. Reference photos work for mid-distance scenes — at work, from the side, in a room.
Labelling under the EU AI Act
Article 50 of the EU AI Act has applied since 2 August 2026. Anyone publishing an image showing a recognisable real person in a situation they were never in must disclose it. Dagomi takes as much of that off your hands as it can: as soon as reference photos are used, the “AI-generated” badge appears in the image automatically — with no switch, because a disclosure you can turn off is no disclosure.
In addition, every downloaded image file carries the marking in machine-readable form using the IPTC standard field — the same one LinkedIn and Meta read. And for the post text Dagomi offers a ready-made sentence to copy. The obligation itself stays with you as the publisher; we make it as easy as possible and set the default correctly.
How publishing works
Through a Make scenario in your own account. That sounds more cumbersome than it is, and there is a solid reason: LinkedIn only allows posting to company pages through a partner programme with months of lead time. Make is already a partner — so you connect your own LinkedIn account to Make, and the access stays with you.
Dagomi generates the finished blueprint for the scenario in the setup area; you upload it to Make and you are done. If you would rather set up nothing at all, you copy the text with one click and post by hand — that works without any connection.
How to get to your first post
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Have topics found
Cockpit → Posts → “✦ Find ideas”. With no topic given, Dagomi searches across your services, your company knowledge and your captured thoughts. You get several angles with reasoning, not a single take-it-or-leave-it suggestion.
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Have the post written
The idea that convinces you turns into a draft: an angle, short paragraphs, a closing question, hashtags. You can change every word — the counter shows the character limit as you go.
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Choose or generate an image
Rendered card, carousel or AI image. Dagomi recommends a format and says why. If you have stored reference photos, one checkbox puts you into the picture.
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Approve
The post only goes out when you click — through your Make scenario or by hand. Dagomi never posts on its own, neither scheduled nor automatically.
Good to know
- Via the Make route, posts are limited to 700 characters. That is a limit of the Make module, not of LinkedIn — Dagomi keeps to it while writing and shows the counter. If you need longer posts, copy the text and post by hand.
- A real photo from one of your own sessions beats any generated image. The image features are meant for the days when there is none.
- The language of the posts can be switched independently of the interface language. An advisor can use Dagomi in German and post in English.
Frequently asked questions
Does Dagomi write the posts entirely on its own?
It suggests topics and writes a draft. Only what you approve gets published — and as a rule you should still change something in the text. A post under your name should sound like you, not like a tool.
Can customer data end up in a public post?
No. For posts Dagomi explicitly uses only your company knowledge, your service catalogue and your captured thoughts. Customer names, offers and revenue stay out. And since nothing goes out without your approval, you see every text beforehand.
What does an image cost?
Rendered cards and carousels cost nothing. An AI image runs at about four cents in portrait format and five in square; with reference photos about eight cents, because your photos are processed as well. Portrait is the cheaper one despite the larger area — and the recommended format for LinkedIn anyway.
Do I really need a Make account?
No. Without Make you copy the finished text with one click and post it yourself. The Make scenario only saves the last step — and it is the only route on which LinkedIn permits posting to company pages without a months-long partner programme.
Where are my reference photos stored?
In your browser’s storage, on the device where you uploaded them. They are only sent along at the moment an image is generated and are never stored on a server. The price of that decision should be stated honestly: on another computer you have to upload them again.
Do I have to label AI images?
If a recognisable real person appears in it: yes, since 2 August 2026 under Article 50 of the EU AI Act. Dagomi then places the badge in the image automatically and offers a sentence for the post text. For images without people the deepfake rule does not apply; the file still carries the marking in machine-readable form.
Does Dagomi post automatically on a schedule?
No. Posts can be earmarked so you have a queue — but sending is always triggered by a person. Automatic publishing is deliberately not built.