How to get a Google knowledge panel for an architecture firm
By Vladislav Akhmetov · 5 min read
A Google knowledge panel is the information box that appears on the right of the results when you search a name Google is confident it understands: the firm's logo, a short description, location, founders and links, pulled not from the firm's own website but from everything Google has connected about it across the web. You cannot buy one or submit a form for it. Google generates it when it is sure your practice is a distinct, real-world entity, and that same confidence is what decides whether an AI assistant can name your firm when a client asks it who to hire.
So the panel is worth understanding for two reasons at once. It is the most visible sign that Google knows who you are, and it runs on exactly the entity recognition that AI answers now depend on. Get recognised as an entity and you tend to earn both.
Why most architecture firms are invisible to it
Most practice websites are built for the eye: a logo, a mood image, a portfolio that unfolds as you scroll. Google reads almost none of it as fact. Worse, the firm's name is often written three different ways across its site, its LinkedIn, the directories and the press, with the city missing from the text entirely. Faced with that, Google cannot be confident the mentions all point to one real practice, so it resolves nothing and shows no panel. The assistant hits the same wall, which is why it cannot name you either.
What Google and AI actually need to recognise you
Both are doing the same thing: trying to confirm that your firm is a single, real entity with a stable identity and outside corroboration. Give them that, in this order.
- One identity, written the same everywhere. The same practice name, city and discipline on your site, your LinkedIn, directories, chamber listings and event pages. If three sources name you three ways, the machine may never connect them into one firm.
- State who you are in code. Add Organization structured data to your site, with your logo, founders, location, and a
sameAslist that links every official profile you hold. That one piece of markup tells Google that your website, your LinkedIn, your Instagram and your directory entries are all the same entity rather than five loose pages. - Appear in the sources these systems trust. A verified Google Business Profile for the studio, a complete LinkedIn company page, reputable architecture directories, your professional body or chamber listing, and press. The more trusted sources describe you consistently, the more confident Google becomes.
- Earn mentions you did not write. Third-party corroboration carries the most weight, because it is the evidence Google did not get from your own marketing. This is the slow, decisive work we broke down separately in how architecture firms earn the mentions that make AI recommend them.
Where Wikidata fits
Wikidata is the open, structured database that Google and the AI models lean on heavily to confirm who an entity is. A clean Wikidata item, with your firm's founding year, location, founders and notable projects stated consistently, is one of the strongest recognition signals there is. The catch is that it rewards real notability: documented projects, press, awards, a record other people have written about. If your practice has that, a consistent Wikidata entry is worth the effort. If it does not yet, the honest path is the mentions work in step four, which is what builds the record Wikidata wants to see in the first place.
What you cannot control, stated plainly
You cannot make Google issue a knowledge panel, and no one can guarantee you one, or guarantee that an assistant will name your firm. Google and the models decide, their rules are not published, and a panel can appear, change or disappear on its own. What the work above does is make your practice eligible and easy to recognise, which raises the probability of both outcomes and can be measured before and after. Any provider promising a guaranteed knowledge panel, or a guaranteed mention in AI answers, is promising something no one controls. That boundary is the same one we hold our own AI visibility work to.
Common questions
What is a Google knowledge panel? The information box Google shows on the right of the results for a name it recognises as a real entity, holding the firm's logo, description, location, founders and links, assembled from across the web rather than from the firm's own site.
How do you get a knowledge panel for an architecture firm? You earn it by becoming a recognisable entity: one consistent identity everywhere, Organization structured data with a sameAs profile list, presence in trusted sources like a verified Google Business Profile and Wikidata, and third-party mentions that corroborate who you are. Google then generates the panel on its own.
Can you pay for a knowledge panel? No. There is no form and no fee. You can only make your firm eligible and let Google decide. Anyone selling a guaranteed panel is selling something they cannot deliver.
How long does it take? It varies and cannot be promised. Consistency and structured data can be fixed quickly, but the recognition that triggers a panel usually follows months of being described consistently across trusted, third-party sources.
What does a knowledge panel have to do with ChatGPT and AI search? The same entity recognition sits underneath both. When Google is confident your firm is a distinct entity, the AI models drawing on that web of sources are far more able to name you accurately. Work on one and you help the other, which we explain further in what generative engine optimization means.
Become the firm the machines can name
A knowledge panel is not a vanity box. It is proof that Google has resolved your practice into one clear entity, and that same clarity is what lets an assistant put your name on a client's shortlist. Make yourself one identity, state it in code, get into the sources that matter, and earn the mentions that back it up. If you would rather have that done properly for your practice, see what the work involves, or send us your domain.
About the author
Vladislav Akhmetov
Vladislav Akhmetov is the co-founder and CTO of Skala Social. An engineer by training, he built the analytics and reporting the agency runs on, turning Instagram data into the monthly funnel that tells architecture and engineering firms where their leads actually come from.
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