For architects and designers

The AI already describes your language. Does it say the signature is yours?

Clients, developers, curators and the press ask the artificial intelligence who the reference in a typology is. If your body of work is not structured, the project keeps being cited — and the authorship gets lost along the way.

The decision moved

Your repertoire travels. It is the authorship that tends to fall off along the way.

Whoever is looking for a professional rarely starts with a portfolio. They ask the artificial intelligence — and get a short list, assembled from whatever it managed to credit to someone.

Example of a question to the AIs
"Which architects are the reference in [typology] today?"
— A developer building the invitation list
Example of a question to the AIs
"Who signed the [X] project?"
— The attribution of your work, in dispute
Example of a question to the AIs
"Describe the language of [approach or style] to me."
— The AI describing your signature without your name
The cost of being invisible to the AIs

Being on Google is not the same as being in the AI’s answer.

You may have published work, awards and a language other studios cite as a reference — and the artificial intelligence may still credit the project to the studio where you were an associate, describe your approach without naming you, or point to someone else when a client asks who to call. The portfolio exists. What is missing is the model being able to tie each project to its author.

The studio
takes the credit that belonged to the author, when the graph does not separate person from company.
No signature
is how your project shows up in the answer, if the model does not know who signed it.
A short list
is what the client gets when asking who to call for their typology.
The solution

Sumaúma AI Presence ties each project to its author, so that the AIs recognise your signature.

This is not about producing more imagery. It is about structuring your body of work — authorship, projects, typologies, awards, publications and the concepts that define your language — so that language models can tie each project to whoever signed it. That is what we call Presence Engineering for Generative AIs, applied to your project authorship.

Pillar 01

We monitor

We measure your G-SoV (Generative Share of Voice) with AI-Scan: whether the AIs cite you in your typologies, in what position, and who they are crediting for the projects you signed.

Pillar 02

We structure

We build your knowledge graph and clearly separate the author node from the studio node, so the AIs recognise your personal authorship instead of dissolving it into the company name.

Pillar 03

We clone

We extract your Linguistic DNA and vectorise the concepts that define your language, so the AIs can describe your signature while naming you.

Pillar 04

We propagate

We publish consistent, original semantic content across architecture and design authority channels, to influence the AIs where they are trained.

+100
professionals served since 2022
We come from the market of those who live off their own name

Sumaúma started in 2022 as a digital marketing agency and had — and still has — the segment of professionals whose authorial work is the asset as its main vertical. We have served more than 100 of them. Today we apply that experience to the new frontier: what the generative AIs answer when someone asks who signed what.

Frequently asked questions

Questions answered.

I am an architect. How do I get the AIs to credit my projects to me?

The first step is to measure. AI-Scan shows whether the AIs already associate you with your typologies, in what position, and who they are crediting for the projects you signed. From there, we structure your entities in the knowledge graphs, clearly separating the author node from the studio node and tying each project, award and publication to the correct authorship; we vectorise the concepts that define your language; and we propagate original content across the channels the AIs are trained on. There is no shortcut and no space for sale: the AIs credit whoever they can recognise.

The AI credits my projects to the studio where I was an associate. How is that fixed?

By separating the entities in the graph. The model merges author and company when the data does not distinguish them — the most common case in architecture. Once there is a person node with your authorship declared, tied by explicit relations to each project, and a separate node for the studio, the model finally has a way to say who signed what, even when both appear in the same work.

Generative AI is reproducing my visual language. Is there any defence?

The defence available today is attribution, not blocking. Once the concepts that define your language are named, tied to your name and reinforced in sources the models treat as reliable, the description of that language starts coming with your authorship attached. It does not stop image generation, but it changes who is cited as the origin of the reference — and that is what the client reads.

Does this replace my portfolio or publication in trade magazines?

No — it complements them. The portfolio is still what convinces the client in the meeting, and publication is still what builds reputation among peers. Presence Engineering takes care of a new, invisible channel: what the artificial intelligence answers when someone asks who the reference in their typology is, before any meeting exists.

How long until my projects are credited to me in the AIs?

Separating the author node from the studio node is usually the fastest change to feel: it is what returns the signature to whoever designed the work. AI-Scan gives you the immediate diagnosis, and propagation across architecture and design channels moves your G-SoV over the following weeks, with continuous monitoring. It is not a button we switch on or off.

Make sure your authorship is recognised in generative AIs with Sumaúma AI Presence.

Request your AI-Scan and find out who the AIs are crediting for the projects you signed.