Technical catalogs and B2B
An AI advisor for technical catalog websites
On a technical catalog, search is enough for buyers who know the model. New visitors type ‘quiet for a small room’, ‘24V, IP65’ or ‘fits the existing panel’. SiteConsul maps that sentence to the attributes you already publish.
This guide is for sites with a technical catalog, a B2B product tree or a specialist sales team.
A filter tree does not carry every buyer
When airflow, noise, voltage, ingress protection and fitting are asked together, a category page struggles. A sales engineer solves this on the phone. The visitor who arrives at night cannot.
An advisor does not replace that language. It reads measurements and compatibility from your pages, shows where an alternative differs, and returns to the source.
Which sites fit?
HVAC, ventilation, lighting, security, industrial supply and B2B service sites that publish attributes in a table, PDF or schema.org are good candidates. Lighting or fan catalogs in the Northline pattern sit in this class.
Image-only storefronts, prices hidden in images, or SKUs buried in a paragraph raise uncertainty. Make the content visible first.
What a comparison should look like
A good answer is not a single ‘best product’ badge. It explains how two models differ on airflow, noise and install, and which page that came from. If stock or price is not on the page, it is not invented.
That stays close to how your specialists already speak: measurements and sources, not slogans.
What to test in B2B
Use real quote questions: a compatibility check, a spare part, an ‘is there an equivalent’, a policy. Open the source card in the playground. If the wrong page is attached, fix the product template — do not force the model.
On a technical site, few correct answers beat many generic ones.
What SiteConsul does on these catalogs
It reads your public pages and structures products, attributes and evidence. Visitors ask in natural language; answers stay inside bounded evidence and return to your domain.
A catalog API is not required. Attributes on the page are.
Frequently asked questions
Before you decide
Does a chatbot work on a technical catalog?
Yes, if attributes live on the page. The model maps the visitor’s need to those attributes and does not invent a missing measurement.
Is this only for HVAC?
No. Lighting, industrial parts, security and B2B service catalogs have the same need.
Are PDF manuals read?
Published, reachable documents can be sources. Files behind login or that cannot be fetched are out of scope.
Try it on your own website.
Add your site, test real customer questions in a private playground, and review the supporting sources.
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