How to Optimize a Website for Voice Search
Use of semantic language.
There voice search (voice search) is a new type of human-machine interaction that allows machines to answer questions posed by people verbally. Voice search analyzes a string of words and responds with phrases that mimic natural language.
Today the Voice search is built into many devices like the smartphone, The home assistant like Amazon Echo and Google Home, and in cars that support intelligent agents.
Today this technology has four main players:
- Amazon, whose product, Alexa Voice Search, is based on the Bing search engine
- Apple, whose product, Siri, now relies on Google, after long relying on Bing
- Google, whose product, Google Voice Search, obviously relies on proprietary algorithms
- Windows, whose product, Cortana, is based on the Bing search engine – which is in fact from Microsoft
Voice search technology is developing very rapidly and it could change the way we interact with search engines and even impact their algorithms. When a user performs a voice search, they typically need a quick response, possibly offering some practical guidance: that's why, whenever possible, Intelligent agents try to offer a quick response, without going through websitesThe good news is that if you have rich, structured content, your articles and pages could appear as instant responses from search engines, boosting your page's CTR.
Structured content is key.
With semantic markup, you can provide intelligent agents with unambiguous, data-like information that can be used to answer very specific questions. The more detail the content provides, the less ambiguity there is for search engines. And because the data can be linked to other reliable linked data sources on the web, a large amount of consistent information helps validate the content.
In other words, When website content is organized with schema.org markup, machines have the ability to read and contextualize it, so they can suggest your pages and articles to the right reader at the right time.. This is precisely the purpose of the semantic web: be understandable by machines to make communication with people more effective.
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