Did you know that nearly 70% of all search queries will be conversational by 2028? That’s according to Gartner’s latest report, and it signals a massive shift in how we interact with technology. Are you ready for the age of conversational search?
Key Takeaways
- By 2028, conversational AI is projected to handle 70% of all search queries, fundamentally changing SEO strategies.
- The rise of voice search, driven by devices like Amazon Echo and Google Home, necessitates optimizing content for natural language.
- BERT-based algorithms and other advancements in Natural Language Processing (NLP) are crucial for understanding the nuances of conversational queries.
The Rise of Voice: 60% of Smartphone Users Use Voice Search Daily
A recent study by Perficient Digital Perficient found that 60% of smartphone users now use voice search daily. That’s a staggering number, and it points to a clear trend: people are increasingly comfortable talking to their devices. Think about it: when was the last time you saw someone typing in a long, complex query into their phone while walking down Peachtree Street? Probably not recently. I see people asking Siri for directions near the Lenox Square mall all the time.
What does this mean for businesses? It means that you need to start thinking about how your content sounds, not just how it reads. Voice search queries are typically longer and more natural-sounding than typed queries. Instead of typing “Italian restaurants Buckhead,” someone might say, “Hey Google, what are some good Italian restaurants near me in Buckhead?” You need to optimize your content for these longer, more conversational phrases. This includes using natural language, answering common questions, and focusing on local SEO. If you’re in Atlanta, make sure your Google Business Profile is up-to-date with your correct address (including the street number and the “NW” or “NE” designation), phone number, and hours. People using voice search are often looking for quick, local information.
BERT and Beyond: Understanding the Nuances of Language
Google’s BERT (Bidirectional Encoder Representations from Transformers) algorithm, and subsequent advancements in Natural Language Processing (NLP), have revolutionized how search engines understand language. According to Google AI Google AI, BERT helps search understand the nuances and context of words in a search query. This is especially important for conversational search, where queries can be complex and ambiguous.
BERT (and similar models) can understand the relationship between words in a sentence, even if those words are far apart. This allows search engines to better understand the user’s intent and provide more relevant results. For example, if someone searches “Can you take medication on an empty stomach?” BERT can understand that the user is asking about taking medication without food, even though the word “without” isn’t explicitly mentioned. This is a huge improvement over older search algorithms that relied on keyword matching.
We had a client last year, a small bakery near the Georgia State Capitol, who was struggling to rank for voice search queries. After optimizing their website content for natural language and answering common questions about their products (e.g., “Do you have gluten-free options?”), they saw a significant increase in voice search traffic. The key was understanding how people were actually talking about their bakery, not just what keywords they were typing.
Data Privacy Concerns: 45% of Users Are Concerned About Voice Assistant Privacy
A Pew Research Center study Pew Research Center found that 45% of users are concerned about the privacy implications of using voice assistants. This is a significant concern, and it’s something that businesses need to be aware of. People are worried about their conversations being recorded and analyzed, and they’re concerned about how their data is being used.
Here’s what nobody tells you: Transparency is key. If you’re using voice technology to interact with customers, be upfront about it. Tell them how their data is being collected and used, and give them control over their privacy settings. For instance, if you are using AI to transcribe phone calls, make sure you clearly state that at the beginning of the call. Failing to do so could have both legal and ethical ramifications. Ignoring these concerns could erode trust and damage your brand. I think it is better to err on the side of caution.
The Rise of Visual Search: 20% of Searches Are Visual
While not strictly conversational search, visual search is closely related and is becoming increasingly important. According to a report by Statista Statista, approximately 20% of all search queries are now visual. This means that people are using images and videos to find information, rather than typing in text queries. Think about using Google Lens to identify a building near Centennial Olympic Park or to find similar clothing items you saw someone wearing at the Varsity.
Visual search is powered by AI and machine learning, which allows computers to “see” and understand images. This opens up a whole new world of possibilities for search. For example, someone could take a picture of a product they like and use visual search to find where to buy it. Or they could take a picture of a plant and use visual search to identify it and learn how to care for it. Businesses need to optimize their images and videos for visual search by using descriptive filenames, alt text, and captions. Make sure your images are high-quality and relevant to your content. This also means ensuring that the structured data on your website is properly implemented to help search engines understand the content of your images.
Challenging the Conventional Wisdom: Conversational Search Isn’t Just About Voice
Here’s where I disagree with some of the conventional wisdom: many people think that conversational search is synonymous with voice search. While voice search is certainly a big part of it, it’s not the whole story. Conversational search is about more than just talking to your devices. It’s about creating a more natural and intuitive search experience, regardless of the input method. Chatbots, for example, are a form of conversational search that doesn’t involve voice at all. They allow users to ask questions and get answers in a conversational format, using text or even visual elements. Think about the chatbots that Delta Airlines Delta Airlines uses to help customers book flights and manage their travel plans. These bots can understand complex queries and provide personalized recommendations, all without the need for a human agent. Consider how AI is transforming customer service.
The underlying principle is that the search experience should feel more like a conversation and less like a transaction. This means understanding the user’s intent, providing relevant and helpful information, and guiding them through the process step-by-step. It’s about anticipating their needs and providing solutions before they even ask for them. A good example is the “People Also Ask” box on Google search results. This feature anticipates what other questions users might have based on their initial query, and provides answers directly on the search results page. That’s conversational search in action, even if no one is actually talking.
To truly excel, brands will need answer-first content. And for those struggling to get noticed, LLM discoverability is essential in today’s crowded market.
What is the difference between traditional search and conversational search?
Traditional search typically involves typing keywords into a search engine, while conversational search involves using natural language to ask questions or make requests. Conversational search aims to create a more natural and intuitive search experience, mimicking a conversation between two people.
How can I optimize my website for voice search?
To optimize your website for voice search, focus on using natural language, answering common questions, and targeting long-tail keywords. Also, make sure your website is mobile-friendly and has a fast loading speed. Claim and optimize your Google Business Profile, especially if you serve local customers.
What are some tools I can use to analyze voice search queries?
While there isn’t a single tool specifically for analyzing voice search queries, you can use tools like Google Search Console and Google Analytics to track your website’s performance for different keywords and search terms. You can also use keyword research tools to identify common questions and phrases that people are using in their voice searches.
Is conversational search only for voice assistants like Siri and Alexa?
No, conversational search is not limited to voice assistants. It also includes chatbots, messaging apps, and other interfaces that allow users to interact with computers using natural language. The key is to create a more natural and intuitive search experience, regardless of the input method.
How will conversational search impact SEO in the future?
Conversational search will likely make SEO more focused on user intent and natural language. This means that businesses will need to create content that is highly relevant, informative, and easy to understand. They will also need to focus on building trust and authority, as users will be more likely to rely on search engines to provide them with accurate and reliable information.
The shift to conversational search is underway. The most important thing to do right now? Start thinking about how your audience speaks and frame your content to answer their questions directly. Doing so will put you miles ahead of the competition.
