Find the keywords and query types your customers are using in AI-driven search conversations, track your visibility, and steer context and sentiment.
Modern search behaviour often involves follow-up questions and multi-part queries, making it crucial to create content that aligns with natural language and context-driven search patterns. Nowhere is this more true than in generative search surfaces. By focusing on long-tail keywords, answering specific user intents, and structuring content to mirror the flow of a conversation, websites can improve visibility in voice and AI-powered search.
Here are a few of the ways we can align your SEO with contemporary conversational search patterns
Implementing FAQ sections enhances a site's ability to provide accurate, context-aware answers, fostering better user engagement and higher search rankings.
Crafting content that mirrors natural language patterns ensures your site resonates with how users phrase queries in voice and conversational searches.
Latent semantic indexing (LSI) and other semantic optimisations help search engines to understand your content more deeply, improving specificity for nuanced queries.
Structuring your content to address follow-up questions keeps users engaged and aligns with chained query patterns, boosting dwell time and reducing bounce rates.
Contextual internal links guide users and search engines through topical content, supporting natural content discovery paths that mirror conversational search.
Using headings, lists, and concise, direct answers increases the likelihood of your content appearing in answer engines at critical funnel points in long conversations.
Hear from a few of our amazing clients