Technology & Innovation

Businesses are adapting to voice search in an AI-first world

November 24, 2016

Global

November 24, 2016

Global
Jon Buss

Managing Director for the UK and northern Europe

Jon Buss is an industry commentator and speaker with an extensive knowledge of the digital, data and analytics sector. He is currently Managing Director for the UK and Northern Europe at Yext, the global leader in location data management.

He has spent more than 20 years working within internet start-ups and market leading international organisations, with a focus on adtech, mobile and proximity marketing. Prior to Yext, he was Managing Director at ad tech firm Criteo, and held senior roles at Experian and Dun & Bradstreet.

 

What can businesses do to ensure that they stay on trend vocally?

When Apple released Siri five years ago it was viewed as a promising and clever toy, but few truly anticipated the potential of voice-activated artificial intelligence to change the way people interact with technology. Now, Microsoft’s Cortana, Google Assistant, and Amazon’s Alexa are bringing voice search to more and more consumers, and . Google reports that ; and Microsoft notes that . Businesses in all industries are increasingly asking the question, “If the way customers search is changing, how do I make sure they find us?”

The first thing for a business to understand is that voice search often delivers only one result- raising the competition for consumer attention. Commands and queries like, “Where can I buy pizza near me” or “Find me a hotel near the Shard,” or “What is the highest-rated dentist open now near my office?” will return one business. Which business comes up depends on how confident the search AI is that the business captures the intent of the user, and what information the AI can pull from a complex set of structured data.

New skills

Voice search turns structured search data into knowledge. In fact, Amazon describes new features in Alexa as ‘new skills.’ To be the one result given, businesses of all sizes need to manage the search ecosystem’s knowledge about their business actively at the individual location level with rich and accurate data.

Since and agree that 30%-40% of searches on mobile phones display an intent to find or purchase locally, business location information is of the utmost revenue concern. In fact, . Location data includes business name, address, phone number, open hours, products or menu items sold, special sales, service professional names and credentials, location reviews, and countless other fields that Google and other search engines look for. More information means ranking for a wider array of potential searches, and richer information means higher search rank.

With AI becoming more sophisticated at reading user intent, it analyses ever more numerous factors in deciding results, so customisation is key.

Who, what and where

A good example of this is a search for “Harry Potter.”

If I ask my voice assistant “What is Harry Potter?” she understands I am looking for information about the series, though she may display the books, the films, or both. If I ask “Who is Harry Potter?” I get information about the character and the actor who played him in the films, Daniel Radcliffe. “Where can I see Harry Potter?” will return movie times, and “Where can I buy Harry Potter” will return bookstores (or I could have Alexa order the book and send it to my house). But what if I just say “Harry Potter?” My AI is left to judge, based on my history and habits, what I’m really asking.  AI needs structured data to return value-adding results.

Being listed as a result will make or break businesses today. The movie theatre or bookstore with times or book titles displayed in a way that search engines can easily read will win customers, and those that don’t, won’t. And it’s not just consumer products--local search is a critical way people find medical professionals, financial advisors, and all manner of high-priced services. Reviews of business locations are especially important, as recent changes to search algorithms mean that .

According to Sundar Pichai, CEO at Google,"In the long run, we're evolving in computing from a 'mobile-first' to an 'AI-first' world."

The AI world

Succeeding in an AI-first world is all about data sophistication. Opening company websites has become an inconvenience to searchers who would rather immediately get the answers they need through voice search or in the ‘knowledge’ results displayed in their browser. If your customers will make the journey from search query to business selection without ever opening a website, optimising location information that appears in the search phase is crucial.

This may sound intimidating to the non-technical business owners among us, but it should not. Optimising for voice search is essentially about putting all the information you’d normally display on a business website into search results, which means you already have the data you need. Using it is about keeping it organised in a centralised ‘source of truth’ and pushing it out to online sources. This is why businesses from the largest global financial institutions to single-location family restaurants are claiming Google My Business listings, Yelp pages, and other information sources and filling them with content.

The real trouble comes from maintaining this information across the many business directories, search engines, and social media sites across the web--especially important in a search environment that values consistency and recency as indicators of credibility. Solving this problem through technology is key to being found in voice search.

An AI-first world means better and more targeted search results, which means we will all have an easier time finding where we want to go.

 

The views and opinions expressed in this article are those of the authors and do not necessarily reflect the views of The Economist Intelligence Unit Limited (EIU) or any other member of The Economist Group. The Economist Group (including the EIU) cannot accept any responsibility or liability for reliance by any person on this article or any of the information, opinions or conclusions set out in the article.

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