Natural language: writing to be understood (and cited) by AI
Description
Conversational content adopts a natural, direct, and accessible tone, answering frequently asked questions in users' everyday language. It includes FAQs, question-and-answer formats, and optimization for voice search.
This approach improves user engagement and relevance to increasingly popular natural language queries.
Why is this important for ai search?
LLMs excel at conversational interactions and naturally favor content written in a style similar to their own output. Natural, accessible language makes it easier to extract information and integrate it into fluent responses.
The question-and-answer format fits particularly well with the models' training patterns, significantly increasing the chances of citation and use as a reference source.
Technical details
- Using FAQs (JSON-LD Schema.org format)
- Questions, also in titles
- Using natural language
1. Presence of FAQs (JSON-LD Schema.org format)
Questions and answers (FAQ) sections are an excellent way to directly answer common user questions. For GEO, structuring these FAQs with Schema.org JSON-LD structured data allows AI engines to explicitly understand the questions and their answers, increasing the likelihood of appearing in rich snippets or direct answers from generative engines.
Make sure that pages containing FAQs use Schema.org's JSON-LD FAQPage markup. Every question and answer must be properly tagged to be interpreted by search engines.
2. Questions, also in headings
Integrating questions directly into the content, and particularly in headings (Hn), reflects the way users formulate their queries in search engines and conversational interfaces. This helps AI engines more easily match your content with users' search intentions.
Integrate relevant questions into your headings (H2, H3, etc.) and in the body of the text. These questions should be real questions that your users might have and to which your content provides a clear answer.
Using a variety of question words (who, what, where, when, how, why) in your content and headings helps cover a broader spectrum of search intentions. AI engines are trained on billions of queries and recognize these nuances.
It is recommended to diversify the types of questions addressed in a piece of content. This enriches the semantics of a page and makes it relevant to a greater number of conversational queries.
3. Use Natural Language
Natural language is how humans communicate every day. Generative AI engines are designed to understand and generate content in this type of language. Naturally written content is easier for these systems to process and improves the relevance of the generated answers.
Write your content as if you were speaking to a human being. Avoid excessive jargon, overly complex sentences, or artificial phrases. Focus on clarity, conciseness, and flow.
Clear and concise sentences make content easier for both users and AI algorithms to understand. Natural phrasing allows generative engines to extract key information more efficiently and render it coherently.
Tip: Keep sentences short and direct. Avoid multiple subordinate clauses and passive constructions. Each sentence should convey one main idea unequivocally.
Resources & useful links
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