Co-Occurrence Analysis
Find semantically related terms that should appear in comprehensive content about your topic.
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What Are Co-Occurrences and Why Are They the New Anchor Texts for LLMs?
In traditional SEO, anchor text told Google what a page was about. For AI systems, co-occurrence plays the same role. When your brand name consistently appears near specific keywords across the web (e.g., "Hyperleap AI" near "AI agents", "chatbot builder", "customer support"), LLMs learn to associate your brand with those concepts. Co-occurrence analysis reveals which terms AI already associates with your brand — and which ones you need to strengthen.
How Do You Use Co-Occurrence Data to Improve AI Search Visibility?
Check which keywords naturally appear near your brand mentions across the web. If AI systems don't associate your brand with your core product terms, create content that explicitly pairs them. Write blog posts, case studies, and landing pages where your brand name appears in the same paragraphs as target keywords. This trains LLMs to mention your brand when users ask about those topics.
Now that you have traffic, what happens next?
This free tool is built by Hyperleap AI — the platform for AI customer service agents that resolve FAQs, capture leads, and route to your team across Website, WhatsApp, Instagram, and Facebook Messenger — 24/7, in 100+ languages.
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