Kiteworks Quadrupled Non-Brand Traffic with Quattr.
Kiteworks Quadrupled Non-Brand Traffic with Quattr.
Even the most seasoned SEO teams are leaking traffic and conversion. The reason is not lack of content but it’s their internal linking strategies that fail to guide users toward conversion.
They treat content as an interconnected system, invest in keyword mapping, entity tagging, and apply human judgment to place every link. But even with the best intentions, this model breaks. Keyword rules and manual logic can’t meaningfully scale. They fail to account for real user intent and miss the forest for the trees.
This results in critical conversion pages being undiscovered, missed conversion opportunities, and stalled SEO.
What’s missing isn’t more link suggestions, but a systemic, content-driven internal linking approach, one that evolves with your content and aligns every link with a specific business goal, across every format and audience.
Quattr’s Internal Linking AI is built to close this exact gap. It is built on semantic intelligence, which is an advanced approach beyond matching keywords or titles. It processes every page the way an expert would, grasping topics, subtopics, and conceptual relationships. The result is an intelligent internal link graph that evolves with your business, not just with search algorithms.
Let us closely look at what happens behind the scenes of Quattr’s Internal Linking AI.
Quattr’s internal linking AI goes well beyond the limitations of traditional tools that rely on keyword matching and repetitive heuristics. It doesn’t just automate, it strategically transforms your internal link architecture with meaning-first logic.
Here’s how Quattr transforms internal linking from a manual rule-set into an adaptive, site wide intelligence engine, step by step.
Quattr begins by crawling your website. Note that this is not a superficial sitemap scan; it’s a deep scan done by our proprietary crawler that includes every product page, content piece, and asset that might never hit your main navigation. This immediately sets Quattr apart, eliminating orphaned content and blind spots.
An enterprise website of 5k pages saw orphans drop to 0 in just weeks after going live, and indexed pages increased by +21.7% with Quattr’s internal linking.
This is where the gap between traditional tools falls behind. Instead of pulling only titles, Quattr builds a semantic fingerprint of every page using a mathematical representation of meaning, an advanced technique LLMs also use called vector embeddings.
Instead of asking, “Do these pages share a phrase?”, Quattr asks,
“Do these pages serve the same purpose? Do they answer the same question? Do they fulfill the same intent?”
And that is how Quattr connects content about “data protection” with “compliance requirements” and “business continuity,”even when they share no overlapping keywords.
This is where the breakthrough begins. Quatr’s proprietary algorithms analyze the entire site’s vector index to discover the highest-quality internal links for each page, based on meaning, not matching.
Each suggested link is evaluated across two critical factors:
Semantic relevance: Does the link logically support the user’s journey based on topic intent?
Topical authority: Does the page demonstrate internal strength through historical traffic, engagement, and its role within your site’s taxonomy?
Quattr uses these signals to surface the most authoritative destinations for passing link equity, not just editorially strong content.
This means that internal links point toward your strongest, most topically relevant content based on a deep understanding.
And every suggestion comes with optimized anchor text, automatically varied to avoid over-optimization and reinforcing topic coverage naturally.
Quattr’s internal linking AI evolves with your website.
As you publish new content, update taxonomy, or shift your strategy, the system:
i. Reprocesses new pages using updated semantic relationships
ii. Re-discovers link opportunities across your content ecosystem
iii. Integrates sitemap and GSC feeds to stay in sync with your publishing cadence
The best part? It even incorporates search bot behavior and user interaction signals, constantly refining the internal link graph to reflect how users and search engines move through your site.
This means no more patching broken chains every quarter and no catching up to missed opportunities weeks after they appear. If your architecture or inventory shifts, your internal links shift with it.
For global enterprises, language and regional content matter the most. Their challenge is not to link the content but to link the right content across different languages, markets, and regional intents. Quattr’s semantic approach extends beyond language boundaries.
Quattr understands the semantic intent behind each page and helps you design a high-impact link graph in one language.
Once defined, this linking strategy can be replicated across your localized sites, ensuring consistency in structure and user journey, without relying on direct translation.
For example, once you’ve structured your English site’s product or topic clusters, Quattr enables you to apply the same linking blueprint to your German or Japanese versions, so every language site benefits from the same strategic internal authority flow.
It also respects SEO-critical structures: honoring hreflang annotations, and aligning with domain and subfolder strategies to strengthen regional authority without conflict.
In short, Quattr doesn’t just link pages. It unifies global content strategies. Ensuring your international SEO benefits from the same intelligent linking framework that powers your domestic performance.
Your internal linking strategy is only as strong as your system’s ability to understand meaning at scale.
See how Quattr’s vector & semantic AI identify strategic link opportunities your current tools miss, across languages, teams, and thousands of pages. Watch it analyze your site in real time, surface optimal internal links, and build a crawl-efficient, authority-flowing content architecture that scales.
Schedule a demo and experience the future of internal linking, powered by semantic AI with Quattr.
Quattr uses semantic intelligence and vector embeddings to understand page meaning and intent, not just matching keywords, enabling deeper, more relevant internal connections for users and SEO.
Quattr’s AI uncovers hidden, high-conversion pages by continuously analyzing your site structure and user signals to guide visitors toward business-critical destinations.
Quattr’s AI automatically suggests varied, semantically optimized anchor text, reinforcing topical authority while avoiding over-optimization risk.
Yes. Quattr’s semantic understanding transcends language, letting you replicate successful linking blueprints across different language versions and regions, respecting SEO-critical structures like hreflang.
Yes, Quattr’s proprietary crawler scans every asset, eliminating orphaned content and scaling internal linking across sites with hundreds, thousands, or even millions of pages.
Quattr's AI-first platform evaluates like search engines to find opportunities across content, experience, and discoverability. A team of growth concierge analyze your data and recommends the top improvements to make for faster organic traffic growth. Growth-driven brands trust Quattr and are seeing sustained traffic growth.
AI Content Optimization Tools
Anchor Text Generator
Discover the correct anchor text that conveys the precise meaning of the linked page.
AI SEO tools
SEO-Friendly URL Generator
Generate SEO-friendly URLs that are readable by both users and search engine bots.
AI Content Writing Tools
Content Brief Generator
Generate comprehensive outlines for all types of pages quickly and share briefs with copywriters to scale content production.
Try our growth engine for free with a test drive.
Our AI SEO platform will analyze your website and provide you with insights on the top opportunities for your site across content, experience, and discoverability metrics that are actionable and personalized to your brand.
.svg)
.svg)
.svg)
