How can you design content for voice search and emerging technologies?

Understanding your audience and grading your language according to them plays a key role. If it's upper intermediate or beginner level having instructions according to the level is a mandate or a simplified inclusive comprehensible interface is essential.

Intent is the soul of any content campaign that you start. Voice searches are often more conversational and natural than typed queries. Understand the intent behind user queries and create content that directly addresses those intents. Anticipate the questions users might ask in a spoken manner.

Designing content for voice search means making it easy for things like smart speakers to understand and share your information. Imagine you're explaining something to a friend in a simple way. Use short, clear sentences and answer common questions. This helps the technology find the right answers quickly when someone asks a question out loud, like looking for a recipe or the weather. Remember, the goal is to be clear and friendly, just like talking to someone!

Prioritizing conversational language, optimizing for long-tail keywords, and structuring information in a format that aligns with user queries. For example, a user might inquire, “Find recent scientific studies on topic X,Y,Z.” To optimize content for this, scientific publications could include conversational titles/headings reflecting common voice search queries. Additionally, employing structured data markup to highlight key details like authors, abstracts, and dates aids search engines in understanding and presenting this information accurately in voice search results. Integrating multimedia elements like audio summaries or podcasts related to the publication could also enhance accessibility and engagement through emerging technologies.

While it is in the early stages, Google and Schema.org introduced a new Speakable (Article, WebPage) structured data element. This markup allows voice assistants (currently limited to Google Assistant) to pull from specific sections of an article or webpage. The Speakable markup should be applied to individual sentences or paragraphs, and not to the entire article. This allows the voice assistant to deliver targeted, succinct responses to users. When using the markup, content tagged as speakable should be easy-to-read, conversational, avoid jargon, and tight. Avoid run-on sentences or overly verbose copy, as it is meant to be conversational in nature.

In a rapidly evolving digital world, the best voice search strategy is to make your brand synonymous with popular queries in your sector. By engaging with your audience on social media, you enhance brand recognition and loyalty, increasing the likelihood of your brand being the primary reference in voice searches. The strategy lies in making your brand name a common reference for key search terms in your industry or location.

When designing content for voice search and emerging technologies, focus on conversational and natural language, as it aligns with how people typically use voice search. Implement schema markup to help search engines understand and categorize your content. Prioritize mobile optimization, as many voice searches are conducted on mobile devices. Use long-tail keywords that mirror verbal queries. Consider the context in which voice searches are performed, often seeking quick and specific answers. Stay updated on changes in search algorithms related to voice search. Regularly test and refine your approach based on user feedback and search trends.

Write in a conversational tone, mimicking how people speak. Voice search queries are typically more natural and conversational, so your content should sound human and be easy to understand when read aloud.