Skip to main content
Popular Links Agent

Guide customers to your best-selling products

The Popular Links agent automatically surfaces your most popular products and categories across every page of your site. Customers see varied suggestions that feel curated, not the same navigation block repeated everywhere.

$2.4M

New annual revenue

Visual Comfort case study

29x

Return on investment

Measured over 12 months

10K+

Pages created

Automatically generated

12

Months to results

Visual Comfort case study

Your best products are hidden in plain sight

Customers who find one product rarely discover your other popular items. Your best-sellers get traffic from search, but customers don't navigate between them naturally.

Products stay siloed

Customers browsing leather sofas rarely discover your dining tables or bedroom furniture. Each product category exists in isolation, limiting cross-category discovery.

Same navigation everywhere

Static “Popular Products” blocks show the same items on every page. Customers see them once, ignore them forever. They feel like spam, not recommendations.

Manual updates don't scale

Maintaining product recommendations across thousands of pages requires engineering time you don't have. Best-sellers change, but your navigation stays stale.

Smart distribution that feels personal

The Popular Links agent uses a priority system to ensure your most important products get more visibility across your site, but each page shows different recommendations.

The result: your leather sofas appear more often overall because they're a best-seller, but customers on your velvet sofa page see varied suggestions. No repetitive blocks. No “same five products everywhere” problem.

You control what determines importance: sales volume, revenue, customer engagement, or your own priority score. The Popular Links agent handles the distribution.

How priority scores work

100

Leather sofas (top seller)

75

Dining tables (high engagement)

50

Bedroom furniture (solid performer)

25

Garden furniture (seasonal)

Higher priority = more visibility across your site

Varied suggestions vs repetitive blocks

Traditional “popular products” modules show the same items everywhere. The Popular Links agent shows different recommendations on each page while still prioritizing your best-sellers overall.

Traditional approach

Page: Velvet Sofas

Popular products:

  • 1. Leather sofas
  • 2. Corner sofas
  • 3. Sofa beds

Page: Dining Tables

Popular products:

  • 1. Leather sofas
  • 2. Corner sofas
  • 3. Sofa beds

Page: Bedroom Sets

Popular products:

  • 1. Leather sofas
  • 2. Corner sofas
  • 3. Sofa beds

Same recommendations everywhere. Customers tune them out after the first page.

With Popular Links agent

Page: Velvet Sofas

You might also like:

  • 1. Leather sofas
  • 2. Dining tables
  • 3. Fabric armchairs

Page: Dining Tables

You might also like:

  • 1. Dining chairs
  • 2. Leather sofas
  • 3. Bedroom sets

Page: Bedroom Sets

You might also like:

  • 1. Corner sofas
  • 2. Wardrobes
  • 3. Leather sofas

Different on each page, but “Leather sofas” appears more often overall because it's your top seller.

Two ways to help customers browse

Most retailers use both Related and Popular recommendations together. Customers get two clear ways to explore: similar products and popular products.

yourstore.com/sofas/velvet/

Velvet Sofas

[Product grid]

Related products

Similar to what you're viewing

Blue velvet sofasTufted sofasModern sofasFabric sofas

Popular across the store

What other customers are browsing

Leather sofasDining tablesBedroom setsArmchairs

Related products

“What's similar to what I'm looking at?” Helps customers explore within a category.

Popular products

“What are other customers buying?” Helps customers discover your best-sellers.

CASE STUDY

How Visual Comfort drove $2.4M in new revenue

Visual Comfort, a luxury lighting retailer with over 60 premium brands, used Similar AI to automatically create 10,000+ new category pages and connect them with smart product recommendations.

The result: $2.4 million in new annual revenue from organic search, a 29x return on their investment with Similar AI.

$2.4M

New annual revenue

29x

ROI

10K+

Pages created

12

Months to results

Frequently asked questions

Does this require engineering resources?

Minimal. For most e-commerce platforms (Shopify, BigCommerce, WooCommerce), implementation takes days, not months. We handle the technical complexity; your team just needs to approve the changes before they go live.

How quickly will I see results?

Most customers see measurable traffic increases within 4-8 weeks. Revenue impact follows shortly after as those new visitors convert. The exact timeline depends on how quickly search engines re-index your pages.

How is this different from static 'Popular Products' blocks?

Traditional popular product modules show the exact same items on every page. Customers see them once, then ignore them. The Popular Links agent shows different recommendations on each page while still ensuring your best-sellers get more visibility overall. The variety feels personalized, not templated.

Can I control which products get priority?

Yes. You choose what determines a product's priority: sales volume, revenue, customer engagement, margin, or any custom score you provide. You can also exclude specific products or categories from recommendations entirely.

How does this work with Related recommendations?

Most retailers use both. Related shows products similar to what the customer is viewing (velvet sofas → fabric sofas). Popular shows your best-sellers across categories (velvet sofas → dining tables). Together, they give customers two complementary ways to browse.

Will this affect my site's performance?

No. Recommendations are pre-computed and cached, so there's no additional server load when pages render. Your site stays fast.

See how it works with your products

Book a demo and we'll show you how the Popular Links agent can help customers find your best products. We'll use your actual catalog. No commitment required.