Specific, multi-word search phrases with lower search volume but higher conversion intent.
Long-tail keywords are search queries that are more specific — and typically longer — than broad 'head' terms. For example, 'SEO software' is a head term; 'best SEO software for B2B SaaS companies under 50 employees' is a long-tail keyword.
Long-tail keywords individually have low search volume, but they account for the majority of all searches. They tend to have lower keyword difficulty (less competition), higher conversion rates (more specific intent), and lower CPCs in paid search.
In B2B specifically, long-tail keywords are often where real buyers search. A VP of Operations searching for ERP software might type 'cloud ERP for discrete manufacturing companies' — a long-tail query that is ultra-specific to their situation. These queries are harder to predict but disproportionately valuable.
Long-tail keyword strategy is also naturally resilient to AI Overview disruption. Highly specific queries are harder for AI to answer generically, and users with specific needs are more likely to click through for depth and detail.
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