Every year or so, a client asks me whether social signals SEO is a real thing, usually right after a post of theirs did big numbers on LinkedIn and then did nothing at all for their rankings. The short answer is no: in search engine optimization, social signals SEO refers to the idea that likes, shares, comments, and other social engagement might influence rankings, but Google has repeatedly said they do not directly affect them. It is a fair question, especially for marketers, SEO professionals, content creators, and business owners trying to decide what actually improves SEO performance. The honest answer is more interesting than the flat yes or no most articles hand you.

Social signals refer to engagement actions on social media, and in SEO the key question is whether those actions count as direct ranking factors. Google says they do not, even if social activity can still influence SEO performance indirectly through visibility, traffic, links, and brand reach. That has been the official line for more than a decade. And yet the sites that win on social also tend to win in search. Both of those things are true at the same time, and the space between them is where almost all of the confusion lives. Here is what Google has actually said, why the studies that seem to prove social signals work are misleading, how social media can still support SEO, and how to use it without wasting effort on metrics that will not move your search engine results.

What people mean by social signals

Social signals are social media engagement and engagement metrics your content picks up on social media platforms and social media channels, including likes, shares, comments, and reposts. The theory behind SEO social signals is simple: if something gets shared thousands of times, search engines should read that as a vote of quality and improve its search engine ranking or a page’s organic search ranking. It sounds reasonable. As far as Google is concerned, it is also not how any of this works.

What Google actually says about social signals

In 2014, Matt Cutts, then the head of Google’s webspam team, recorded a video answering whether Facebook and Twitter signals were part of the ranking algorithm. His answer was a flat no: in google’s algorithm, they are not a direct ranking signal. Google treats a tweet or a Facebook post like any other web page it crawls. It does not do special work to count how many followers or likes a page has and feed that into rankings.

What makes this more interesting is that Cutts had said the opposite in 2010. Back then Google had a data deal with Twitter and was experimenting with social signals inside its Realtime search product. Then the deal ended, Google lost crawl access for a stretch, and the whole approach fell apart. His reasoning was practical: engineers are not going to build a ranking system on top of data that a third party can switch off at any moment.

Google has repeated it many times since. John Mueller said in 2015 that social signals do not directly help organic rankings, and pointed out that links in most social posts are nofollowed anyway, which is why social links and social media links do not pass authority the way high quality backlinks do. Gary Illyes was even shorter in 2016 when someone asked whether Google takes social into account: “the short version is, no, we don’t.”

So the direct answer to whether social signals help SEO is no. Nobody at Google has ever walked that back. Social activity can still influence search rankings indirectly even if it is not a ranking signal.

Why Google doesn’t count likes and follows as a ranking factor

The reasons are more practical than philosophical. Social platforms change constantly, so what Google crawls one minute might not match reality the next, and low-quality or artificial activity can negatively affect credibility. Follower counts and likes are trivial to fake, which makes them a weak foundation for rankings, and even data tied to a social media account can be unstable as platforms and visibility settings change. And there are real privacy problems with pulling relationship data off profiles that were never built to be read that way. None of that has changed since Cutts first laid it out.

Why the correlation studies fool people

Here is where it gets genuinely tricky, and where I think most people go wrong. Every so often a study makes the rounds showing a strong correlation around social signals impact seo. Pages that rank well tend to have plenty of shares. People see that and conclude the shares caused the rankings.

They did not. Cutts addressed this directly, and Moz’s Cyrus Shepard has explained it clearly: the kind of content that earns thousands of shares is usually valuable content with strong content quality, and that quality content often reflects high quality content. When people find content valuable enough to share, it is also more likely to earn citations, brand mentions, and links from other websites. Those are the things that move rankings. The shares and the rankings are both downstream of the same cause, which is a good piece of work. Mistaking that for shares-cause-rankings is a textbook correlation error, and it has sold a lot of social media retainers over the years.

How social media and social signals impact SEO

None of this means social is useless for search. It means the value is indirect: social media can improve overall social media visibility and brand visibility even without being a direct ranking factor, and once you can see the real path, you stop chasing the wrong number. It also means that indirect path can support a website’s search engine ranking and strengthen broader seo efforts.

It gets your content in front of people who can link to you

This is the big one. A link on Facebook or LinkedIn passes no authority, but the person who clicks it might run a blog, write for a trade publication, or put together a newsletter. Social is content distribution across social media sites and multiple platforms. It puts your work in front of the small share of people who are actually in a position to cite you, including industry influencers who can amplify a piece and help it earn high quality backlinks, and some of them will. Those editorial links are the ones that help, and they usually start life as a share. Collaborating with influencers can amplify reach and trust, supporting increasing brand visibility and more traffic. This is why I treat social as the top of the funnel rather than a ranking lever, and it is the same thinking behind the way we approach link building: start with content worth sharing, then earn the links, rather than the other way around.

It builds branded search demand

The second mechanism is brand. When people keep running into your name in their feed, your social media profiles and social media pages can start showing up repeatedly across social media channels, and more of them start searching for you directly. Optimizing profiles with keywords and clear branding can help them appear in search results and reinforce brand authority. Mentions and tags create social proof that helps build brand awareness and trust. Online reviews and ratings also signal trustworthiness and can lead to more branded searches over time. Branded search volume is something Google can measure, and a brand that people actively look for is a strong popularity signal. Shopify’s senior SEO lead Kyle Risley made the point well: he would not chase social engagement for a direct ranking payoff, but building a brand and an audience on social can turn into branded search demand that search engines do notice.

If you want to see whether that demand is turning into real visibility, that is roughly what share of voice measures.

It drives traffic and shows you what works

Social also sends real referral traffic, and it can support organic traffic and more traffic over time while doubling as a fast feedback loop. If a topic lands on LinkedIn, that is a decent sign it might be worth a full article, and social media posts that ask questions or run polls can give you deeper insights into what relevant content resonates, alongside signals like comments and follower growth. Engaging content such as high-quality images and infographics also makes blog posts and web content more shareable. Content that connects with people on social often connects with them in search too, because in both cases you are trying to be useful to the same humans. This matters even more for a new website with no authority yet, where every mention and every early reader counts for more than it will later.

What this means for how you spend your time

So should you be on social? Yes, because a strong social media presence still fits a broader marketing strategy and seo strategy. Should you buy engagement, chase viral share counts, or expect likes to directly affect google rankings? No. Anyone selling you social signals as a ranking service is selling you the correlation, not the cause.

The version that works is boring and effective. Publish relevant content worth linking to, and build a social media presence that helps it travel. Use social to get it in front of the people who can link to it and the audience who will remember your name. Then let the real ranking factors, links and brand demand, do the actual work. That is the full-funnel view, and it is the honest one.

If you take a single thing from this, make it this: stop measuring social by likes when your goal is search. Measure it by the links and the branded searches it produces. Those are the numbers that show up in your rankings, because social signals matter indirectly, and active visibility across social media platforms can improve google’s understanding, add valuable context for ai powered search, and support organic seo over time.