The Influence of Voice Search on Featured Snippets

Posted by TheMozTeam

This post was originally published on the STAT blog.

We all know that featured snippets provide easy-to-read,
authoritative answers and that digital assistants love to say them
out loud when asked questions.

This means that featured snippets have an impact on voice search
— bad snippets, or no snippets at all, and digital assistants
struggle. By that logic: Create a lot of awesome snippets and win
the voice search race. Right?

Right, but there’s actually a far more interesting angle to
examine — one that will help you nab more snippets and optimize
for voice search at the same time. In order to explore this, we
need to make like Doctor Who and go back in time.

From typing to talking

Back when dinosaurs roamed the earth and queries were typed into
search engines via keyboards, people adapted to search engines by
adjusting how they performed queries. We pulled out unnecessary
words and phrases, like “the,” “of,” and, well, “and,”
which created truncated requests — robotic-sounding searches for
a robotic search engine.

The first ever dinosaur to use Google.

From this, we may be inclined to format all of our “best”
and “how to” keyword content into lists. But, as you can see in
the chart above, paragraphs and tables are still appearing here,
and we could be leaving snippets on the table by ignoring them. If
we have time, we’ll dig into which keywords those formats are a
better fit for and why.

Get tracking

You could be the Wonder Woman of meta descriptions, but if you
aren’t optimizing for the right kind of snippets, then your
content’s going to have a harder time getting heard. Building out
a voice search-friendly keyword list to track is the first step to
lassoing those snippets.

Want to learn how you can do that in STAT? Say hello and
request a tailored
demo
.

Need more snippets in your life? We dug into Google’s
double-snippet SERPs
for you — double the snippets, double
the fun.

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