Social signals are the interactions a piece of content or a brand receives on social networks, such as likes, shares, comments or followers; in SEO the debate is whether Google uses them to rank results, which Google has repeatedly denied since 2014.
Social signals are likes, shares and followers: what Google has said, with dates, about their effect on ranking, and where they really make a difference.
What social signals mean
The term comes from SEO rather than from the networks themselves. It covers everything that can be counted on a social platform around a page or a brand: reactions, shares, comments, mentions and an account's follower count. The question that comes with it is nearly always the same: does content with lots of shares rank better on Google because of them?
It helps to separate the term from its neighbours. Engagement is the metric that measures those interactions within each platform, using each network's own formula. Social media marketing is the work done on social networks as a channel, with its own goals. An unlinked brand mention is the brand name cited on another page, not an interaction on a network. Viral marketing describes the extreme case, where shares carry content far beyond the publisher's own followers. A ranking factor is a signal Google actually uses to order results, which is exactly what is in question here.
How it works
What Google has said about social signals has changed over time, so the dates matter.
In December 2010, Google confirmed to Search Engine Land that it used a person's authority on Twitter as a signal, mainly in its real-time search, and in ordinary web search only in limited cases. That same month, Matt Cutts, then head of Google's webspam team, answered the same question in an official video.
On 22 January 2014, Cutts returned to the subject in another Google video. He explained that Facebook and Twitter pages are treated like any other pages: if Google can crawl them, it can return them in results. He added that, to the best of his knowledge, Google did not have any signals in its web search ranking algorithms based on numbers of followers or likes.
On 20 September 2017, Gary Illyes of Google wrote on Twitter that social media is useful for marketing your content, not because search engines will rank you better, and called the opposite idea "BS". In a second message the same day he added that, in PageRank terms, most social media links count for about as much as a single drop in an ocean.
Google's current documentation points to a different route. The SEO Starter Guide, last updated on 10 December 2025, lists social media promotion as one way for interested people, and search engines too, to discover new content sooner. Google frames it as a matter of discovery; that section says nothing about the order of results.
What Google has said, with date and author.
December 2010
Google to Search Engine LandSpokesperson
A person's authority on Twitter as a signal, mainly in real-time search. In ordinary web search, only in limited cases.
22 January 2014
Matt Cutts, Google videoSpokesperson
Facebook and Twitter pages treated like any other pages. To the best of his knowledge, no signal based on numbers of followers or likes.
20 September 2017
Gary Illyes, TwitterSpokesperson
Social media is useful for marketing your content, not because search engines will rank you better. Most social media links, in PageRank terms: a single drop in an ocean.
10 December 2025
SEO Starter GuideDocumentation
Social media promotion, so that interested people and search engines discover new content sooner. On the order of results: nothing.
People concludeShares→RankingsCorrelation, not causation (Cutts, 2014)
LikelierGood content→Likes on social networksLinks from other sites→Links and quality carry weight with Google
Google's guide to its ranking systems does not mention social signals.
Google's answer moved: a limited signal in 2010, discovery in 2025.
Why it matters
The confusion comes from a correlation. Pages that rank well often have lots of shares too, and people conclude that the shares push them up. Cutts addressed this back in 2014: it is correlation, not causation. The likelier explanation is that good content attracts likes on social networks and links from other sites at the same time, and that it is those links and the quality of the content that carry weight with Google.
For a business, the distinction decides where the money goes. Buying followers or likes to improve rankings has no support in anything Google has said. Social networks have value of their own as a channel: traffic, leads, sales and customer service. They can also help SEO indirectly, when content that circulates on social media reaches people who later link to it or cite it.
Google's statements on this topic are answers given by spokespeople in videos and on social media. Google's guide to its ranking systems does not mention social signals, so each statement is best cited with its author and date.
Best practices
Judge social networks by what they contribute as a channel, such as traffic and conversions, not by a supposed effect on ranking.
Check in your analytics how many visits come from each network and what those visitors do next.
Check whether widely shared content also earns links and mentions on other sites.
Use social networks to make new content known, which is the effect Google documents.
Cite Google's statements on social signals with their author and date.
Common mistakes
Presenting likes or shares as a Google ranking factor.
Buying followers or interactions in the hope of climbing the results.
Reading the correlation between shares and good rankings as cause and effect.
Quoting Google's 2010 confirmation as if it still applied, without mentioning later statements.
Writing off social networks for SEO altogether and overlooking their role in content discovery and in earning links.
Manuel Riveiro RodriguezCEO & Digital Strategist
A technical audit covers this and everything else in one pass.
Not according to what Google has said. In 2014, Matt Cutts said that, to the best of his knowledge, Google had no signals based on followers or likes. In 2017, Gary Illyes called the idea "BS". Earlier, in 2010, Google had acknowledged using authority on Twitter in limited cases.
Why do pages with lots of shares often rank well?
Because both often have the same cause. Useful or striking content gets likes on social networks and, at the same time, links from other sites. Matt Cutts described this in 2014 as correlation without causation: the shares come with the good ranking but do not produce it.
Does social media help SEO?
Indirectly, yes. Google lists social media promotion as a way for people and search engines to discover new content sooner. Content that is shared widely can also reach people who later link to it or cite it. The effect works through discovery and links.
Do links posted on social media count?
Very little, according to Google. In September 2017, Gary Illyes wrote that, in PageRank terms, most social media links count for about as much as a single drop in an ocean. What those links can do is bring visitors and introduce the page to people who may then link to it from their own sites.
Has Google ever used social signals?
In December 2010, Google confirmed to Search Engine Land that it used a person's authority on Twitter as a signal, mainly in real-time search and in ordinary web search only in limited cases. In 2014, Matt Cutts said there were no signals based on followers or likes, and the current ranking systems guide does not mention them.