Vendar
AI vendor intelligence
Decision-ready vendor data for AI systems

Build the decision layer for vendor selection.

Vendar is the first resource built to turn vendor information into structured data that AI systems and human buyers can use to shortlist, compare, and take decision-level actions.

Input quality
Structured for AI actions
Decision layer
Shortlist with context
Location logic
Geo only when needed
Decision flow
How people actually use the homepage
Built for shortlisting
Human buyers
Teams shortlisting agencies
Founders comparing specialists
Operators validating vendor fit
AI systems
LLMs answering vendor queries
Agents building shortlists
Systems extracting structured decision context
AI decision layer starts here
The first resource built to turn vendor information into decision-ready data
3 structured inputs

Open a prefilled decision context with service, geo, budget, and engagement logic already organized so AI systems can generate a ranked shortlist and move to the next action with less guesswork.

Live listing example
Los Angeles SEO listing

Use the live LA SEO page as the current example of a public, buyer-facing listing.

View live page

Why This Feels Easier To Use

Skip shallow directories

Profiles are framed around visible proof, service fit, and decision signals instead of generic vendor copy.

Shortlist faster

Use recommendation flows, compare vendors side by side, and keep only the options worth deeper review.

Keep geo context clean

The platform only narrows from service to country to city when that location actually changes the buying decision.

Category Structure

Marketing

Live now

Structured listings for growth, search visibility, reputation, and channel execution.

Open

Development

Live now

Technical delivery categories now have their own listing pages, with topic routes that mirror the marketing section.

Open

Design

Planned

Product design, UX systems, visual specialists, and interface work are mapped as a future buyer path.

Open

Construction

Planned

Physical-project procurement is a future category where structured comparison and shortlist logic will matter just as much.

Open

Platform Model

Under the surface, Vendar is not just a page tree. It collects vendor evidence, turns that into ranking logic, and then routes buyers into the service and geo layer that best matches the decision they are making.

Evidence Collection

We collect visible commercial, proof, fit, and delivery signals instead of relying on shallow directory copy.

Structured Ranking

Signals are converted into decision-ready comparison layers so buyers can shortlist with context, not noise.

Intent + Geo Routing

The system moves from service page to country page to city page only when that geo context matters.

Geo Structure

Level 1
Global service pages
Example path
/marketing/seo

This is the worldwide listing layer for a specific service. It should explain the niche and rank the strongest vendors globally.

Level 2
Country pages
Example path
/marketing/seo/usa

This layer narrows the market to one country and surfaces the strongest vendors serving that geography.

Level 3
City pages
Example path
/marketing/seo/new-york

This is the most specific intent page where local selection, fit, and shortlist quality matter most.