Voice Search vs Conversational AI is one of the most popular topics in the digital world.
As per a report of 2019, it was estimated that around 112 million people in the United States would use a voice assistant at least on a monthly basis. It is 10% more than the previous year.
With the development of technology, people are also considering newer technologies more as they can effectively offer more valuable services and also save their time. One of the most recent developments in Conversational AI in healthcare. And here we will talk about Voice Search vs Conversational AI.
What Is Voice Search?
Voice search is the technology that, as opposed to typing, enables speaking into any search engine for requesting information. That particular piece of information can be anything from “Where is the nearest petrol pump?” to “Who is JARVIS?” to “Call Mom.”
Here are some common applications of search by voice or voice search:
- Making search engine queries.
- Voice dialing.
- Asking specific pieces of information, such as sports scores or stock quotes.
- Searching for content in video or audio files.
- Launching a program and also selecting options.
- Clarifying the specifics of the request.
When we are talking about Voice Search vs Conversational AI, we can not deny the prevalence of mobile devices along with the Internet of Things is increasing day by day. And as a result of this, the Google voice search is also rising.
Isn’t it so convenient to ask Siri or Alexa to set up the alarm to check the showtimes for the latest movie? Specifically, if our hands are occupied or we are driving.
It is also more convenient to do a voice search in spite of typing the query. Like the keyboard on the small mobile screen is not that easy to use, and also it often autocorrects to the wrong word.
What Is Conversational AI?
Now come to the conversational AI definition for getting a clear idea about Voice Search vs Conversational AI. Conversational AI is basically the use of tools like messaging apps, voice assistance, chatbots, which use NLP or Natural Language processing. This NLP is a subset of AI or Artificial Intelligence that is used in order to offer direct answers in a conversational way.
NLP allows computers to understand the human language. The recent advancements in machine learning, along with its more specific subset of deep learning allows computers to understand natural languages in a better way.
On the other hand, chatbots like Siri or Alexa are nothing but well-programmed bots, which have been trained to give information in a human or friendly way. When you are interacting with a conversational AI chatbot in the conversational Ai platform, it will start with saying a “hello,” and also ask what it can help you with.
Siri also follows up with “is this what you are looking for?” in place of giving a mechanical reply like “invalid, please try again,” or “no matches found.” It is one of the very relevant conversational AI examples.
Voice Search vs Conversational AI – The Differences
Now is the time to know the difference between voice search vs conversational AI.
Voice search is nothing but the practice of searching information by speaking into any search engine in place of typing our queries. These searches are most of the time yield direct and offer straightforward results.
For example,
You: How old is Tom Cruise?
Google Assistant: Tom Cruise is 58 years old.
This is the end of the story.
On the other hand, Conversational AI is the particular technology that lets the voice assistants feel semi-human, replying to the users in a conversational and more real way.
For example,
You: Hey Siri, what’s the temperature outside?
Siri: The temperature is 10 degrees. It’s freezing outside, just stay home.
Voice Search vs Conversational AI: How They’re Changing SEO In 2021
These voice technologies, voice search, and conversational AI will directly impact your online traffic in both positive and negative ways for your marketing campaign. Let’s have a look at them.
- Research says that voice recognition software enables 3X faster results than typing on a mobile screen, obviously in English. The typing is also 20.4% more accurate.
- Voice results take around 4.6 seconds, while an average web page takes 8.8seconds.
- The increasing number of voice searches with only one answer will decrease the traffic. You will no longer be able to capture the attention with another link.
- Voice search will allow you to ask Siri for the “highest rated tailor” instead of searching clothing alterations and reading the top 10 reviews. And Siri will give you one answer and also ask you if you need the direction as well.
- This makes the customer journey more impulsive and also reduces the stages as you are getting only one answer if you are not asking for more.
- 40.7% of the voice search results come from the feature snippets. So, in case your marketing is strong enough, you will be able to secure the rank zero snippets.
- Voice searches help the searchers with more relevant pieces of information. This personalized experience will increase the usage as well.
Frequently Asked Questions (FAQ)
Here are some common questions that my readers have asked me several times. As now I am covering the topic Voice Search vs Conversational AI, I am answering these questions.
How Do I Optimize Content For Voice Search?
In case you are wanting to optimize your content for voice searches, here are some tips for you to start with.
- You should focus on long-tail keywords and phrases.
- Include more specific questions that are asked in a conversational manner.
- Always optimize your website or web pages for local SEO.
- You also need to make your website ready for voice searches.
Final Words
As now you have the idea of voice search vs conversational AI, you will be able to strategize a proper plan for optimizing your web pages as per those voice technologies. Do not forget to consider conversational AI vs chatbot specifically. It will also be beneficial if you know about some voice technology terms like “OK Google,” and many more.
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