Your customers can't find what you sell
Most e-commerce sites have thousands of category pages with missed internal link opportunities. Customers browsing one product category never discover related products, and that's revenue walking out the door.
Products hidden in silos
Your site structure keeps related products apart. Customers browsing pendant lights never see your chandeliers, and new products stay buried because they're not connected to the rest of your catalog.
Manual updates can't keep up
Connecting pages manually requires engineering resources you don't have. Your team can't keep up with catalog changes, and outdated connections confuse customers looking for current products.
Customers bounce to competitors
When shoppers can't easily navigate from what they're viewing to what they actually want, they leave. Every missed connection is a lost sale to a competitor with better product discovery.
Data-driven connections based on what pages have in common
The Linking Agent uses vector embeddings to understand what each category page is really about. It measures the cosine similarity between pages to find connections that reflect shared intent, not just shared keywords. “Outdoor dining tables” connects to “patio chairs” because both pages serve the same job to be done.
The agent analyzes your entire site, identifies internal link opportunities where pages should connect, and implements those connections automatically. No spreadsheets, no dev tickets, no waiting.
The result: customers discover related pages they didn't know existed, improving product discoverability across your site.
What the Linking Agent connects
Related category pages
Pendant lights connect to chandeliers and kitchen lighting because the vector embeddings show they serve similar needs.
New pages
Freshly created category pages connect to relevant existing pages from day one, with no manual setup.
High-converting pages
Your best-performing pages get more visibility through connections across the site, aiding product discoverability.
How automatic internal linking works - without engineering resources
The Linking Agent delivers automatic internal linking by using vector embeddings to understand the relationship between pages. It takes a data-driven approach to find every internal link opportunity on your site. Implementation takes days, not months, and requires no development work from your team.
Connect your product catalog
The Linking Agent syncs with your e-commerce platform (Shopify, BigCommerce, WooCommerce, or custom) to understand your full product range. No development work needed: just a 10-minute setup.
Build vector embeddings of every page
The agent creates vector embeddings for each category page, capturing what the page is really about. It then measures cosine similarity between pages to identify which ones are genuinely related.
Create intelligent connections
Links appear automatically on your category pages, connecting related pages in a way that feels natural to shoppers. Every connection is based on an understanding of the job to be done, or the unmet needs, of both pages.
Adapt as your pages change
When you add new pages or retire old ones, connections update automatically. New pages get connected from day one. Retired pages don’t leave dead ends.
Every connection drives a business outcome
Page connections aren't just about navigation. They're about helping customers discover pages they need, and helping search engines find pages they should rank.
New pages get connected from day one
New category pages connect to relevant existing pages immediately. Customers browsing popular categories discover your latest pages without you lifting a finger, improving product discoverability across your site.
Boost visibility for revenue-driving pages
Your best-performing category pages get more pathways from across the site. Google finds them more often, customers see them more often, and product discoverability improves.
Reduce bounce rates on category pages
When customers land on a category page that doesn't quite match what they wanted, smart connections show them related pages. Fewer bounces, more conversions.
Internal linking case studies: 8-47% traffic gains, tested across 7.3 million pages
Three A/B-tested internal linking strategies, each delivering statistically significant results for e-commerce sites.
High-value page boosting
47% traffic gain from boosting links to revenue pages
Pages with the highest revenue per session received 2x the normal internal links. Over 14 weeks, boosted pages saw 237% more Googlebot crawls, 23% more active pages in Search Console, and 47% more organic traffic. Revenue per session proved a stronger quality signal than position data alone.
Read the full case study+47%
Organic traffic
+237%
Googlebot crawls
+23%
Active pages
+24%
Click-through rate
Nearby linking
RVshare: intent-driven links across campgrounds, parks, and road trips
RVshare replaced manual internal linking across their campground, state park, national park, and road trip pages with automated nearby connections. Links went from generic to intent-driven, saving their SEO team 90% of maintenance time while improving relevance for every page.
“It went from ‘here are links’ to ‘if you’re here, these are also the related nearbys.’ It’s almost like a natural ‘did you think about this?’”
Emily Cimarusti, SEO Manager, RVshare
Read the full case studyBefore
“We had to be nitpicky but also broad at the same time, and that’s a hard line to teeter on.”
After
“The intent is better - that’s the big thing if we could summarize.”
Impact
“You don’t need to specifically go in and add something because you know those things are going to get links.”
Position boosting
8-23% traffic gains from boosting pages ranking 4-15
Tested across 2 sites and 3 markets (64,400 pages total), position-based boosting delivered 27% more pages crawled, 12% more organic keywords, and 8-23% more traffic. The second site saw even stronger results: 43% more pages crawled and 19% more keywords.
Read the full A/B test results+23%
Traffic (best site)
+43%
Pages crawled
+19%
Keywords ranked
64K
Pages tested
Pages without links vs pages that connect
Most category pages sit in isolation, with no links to related pages. The Linking Agent connects them automatically, and keeps connections fresh as your site changes.
Without the Linking Agent
- ×New pages launch without links to related pages and customers never find them
- ×Links are added manually when someone remembers to ask engineering
- ×Outdated links point to retired or irrelevant pages
- ×Revenue-driving category pages are hidden deep in your site
- ×No way to know which pages should connect but don't
With the Linking Agent
- Every new page is connected to related pages from day one
- Connections are based on the cosine similarity of page embeddings, not guesswork
- Retired pages are automatically removed from connections
- Revenue-driving pages get more visibility across the site
- Connections adapt as your pages and site structure change
Part of a complete organic growth system
Page connections work alongside Similar AI's other agents. The Topic Sieve identifies which pages to build, the New Pages Agent creates them, and the Linking Agent connects them so every page has clear paths to related pages.
Every connection is based on the vector similarity between pages, reflecting a genuine understanding of what each page is about. The result is a well-connected site that aids product discoverability: customers browsing one category page naturally find related categories they didn't know you had.
The result: a site where every category page links to the pages its visitors are most likely to need next, driving product discoverability across your catalog.
“By implementing Similar AI’s nearby linking feature, we’ve transformed a manual, time-consuming process into an automated system that better serves both our content team and our users. The intelligent, intent-driven linking structure not only eliminates maintenance workload but also creates a more natural user journey through related content.”
Martijn Scheijbeler
SVP Marketing, RVshare
Frequently asked questions
What ROI can I expect from better product connections?
In A/B tests, high-value page boosting delivered 47% more traffic and 237% more Googlebot crawls. Position-based boosting delivered 8-23% traffic gains across 64,400 pages. RVshare saved 90% of their manual linking time. Results depend on your catalog size and current navigation gaps, but our Growth Calculator can estimate your specific opportunity.
Does this require engineering resources?
No. The Linking Agent integrates with your existing e-commerce platform (Shopify, BigCommerce, WooCommerce, or custom) without development work. Setup takes about 10 minutes. New connections appear automatically without any technical changes to your site.
How does AI internal linking differ from manual linking?
AI internal linking uses vector embeddings and search data to find internal link opportunities that humans would miss. It analyzes your full site to identify which pages should connect, then implements those connections automatically. Manual linking depends on someone knowing which pages exist and guessing which should connect.
How long until I see results?
Most customers see measurable traffic improvements within 4-8 weeks. In our A/B tests, boosted pages showed significant crawl and traffic gains within the first month. The agent runs continuously, so results compound over time.
Will this affect our brand experience?
You control how connections appear on your site. The Linking Agent suggests intelligent connections based on customer behavior, but you approve how they're displayed. Most customers find the connections actually improve brand experience by helping shoppers discover related products.
We already have product recommendations. How is this different?
Product recommendations typically show on individual product pages. Similar AI creates connections between category pages (the landing pages customers reach from search). This is where most traffic enters, and where most product discovery happens.
How do you decide which products to connect?
The Linking Agent analyzes how customers actually search and browse. When people searching for 'outdoor dining tables' also search for 'patio chairs', those categories should connect. Every connection is based on real customer behavior, not manual curation or simple keyword matching.
What happens when we add new products?
New products are connected to relevant existing categories automatically, from day one. You don't need to remember to update connections when your catalog changes. Discontinued products are removed from connections automatically too.
Can we review connections before they go live?
Yes. You can review and approve connections before they're published, or let the platform run automatically. Most teams start with approval workflows and shift to automatic once they're confident in the quality.
Help customers find what they're looking for
Book a demo to see how the Linking Agent can connect your product catalog automatically, without engineering work or ongoing manual effort.