How do I get an architect to spec my product?
Written from the architect’s side of the table. What actually gets a product into a specification, what gets it dropped, and where research is moving.
What “specified” actually means
A specification is a legal document. When an architect names your product as the basis of design, they are taking on liability for its performance. Every decision below follows from that one fact: the architect’s question is never “is this product good?” It is “can I defend this product?”
The moment a product gets specified
It happens in design development, usually weeks before anyone calls you. The architect is working through a performance criterion — a fire rating, an acoustic target, a slip resistance — and needs a product that meets it, with data to prove it. The product that is easiest to verify wins. Not the best-known one; the one whose data is complete, current, and findable.
What the architect checks
- 01
Performance data — against the criterion they’re specifying to, in the test standard the code references.
- 02
Certifications and listings — the actual listing, not a claim of compliance.
- 03
The data sheet — current, with a revision date, matching what is on the website.
- 04
Substitution risk — whether the product is distinctive enough that “or equal” won’t quietly replace it.
- 05
Availability — lead time and regional distribution, because a product that can’t be delivered gets value-engineered out.
What gets a product dropped
Data sheets that contradict the website. A listing the architect can’t find. A product page that describes benefits but omits the test standard. A rep who answers the performance question with a brochure. Each of these costs the architect time they don’t have, and the product that doesn’t cost them time gets the spec.
Where research is moving
Architects increasingly start product research by asking an AI. The ones who do it well use tools that cite their sources, because an uncited answer can’t go on a drawing. That changes the manufacturer’s job: your product data has to be complete and structured enough for a cited answer to be built from it. The products that are present, with verified data, are the ones that get recommended.
What Gaudi AI does with your data
Gaudi AI by Anguleris gives building professionals cited answers from verified manufacturer data. Manufacturers who provide their product data are present in those answers, with a citation back to their own documentation. If you’d like to see how your products appear today, request a demo.