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Google's Marissa Mayer: Social search is the future

At an event in August, Marissa Mayer, Google's leading VP in search, said social search hasn't shown much promise, but if it does, Google would be in a good position to incorporate it.  I wrote about that here.

VentureBeat Doug Sherrets

Context & Ripple Effects

Google spent early January half-heartedly waving at social features — it shipped a barely promoted Shared Stuff bookmarking tool that critics immediately flagged as neglected — and then CFO George Reyes used the Q4 2007 earnings call to confirm that social-networking ad inventory was not monetizing as hoped.

Mayer's remarks fit that pattern: she rejected claims that social search is the future of query handling, while confirming the conditional — if social signals ever prove out, Google believes it is well-positioned to incorporate them. Coming the same month as Google's $4.6 billion minimum bid in the FCC spectrum auction and an escalating salary war with Facebook over Stanford-area engineers, it reads as a company deliberately rationing which fronts it fights on.

First-order effects

  • Mayer's public skepticism buys Google time to keep social signals out of core web ranking while rivals experiment — a stance consistent with Reyes's confirmation that social ad inventory was underperforming, meaning there is little revenue pressure inside Google to move faster.
  • Facebook gets an unobstructed window to build search-and-discovery habits around its social graph before Google commits, with the two companies already bidding up computer science graduate salaries in the process.

Second-order effects

  • Startups and publishers betting on social-search products lose their most likely acquirer or traffic source near-term, since the dominant search engine has signaled it will watch rather than compete — raising the bar for proving standalone demand.
  • If social signals do start showing measurable quality gains, Google's stated readiness to incorporate them puts pressure on whichever platform holds the social graph data, turning user-generated connections into a potential ranking input Google would want access to.

Third-order effects

  • Mayer's conditional frames a durable playbook: let others validate a new search paradigm, then absorb it from a position of index-and-distribution strength — the open question, unresolved in this coverage, is whether the owner of the social graph can keep that leverage when the incumbent finally arrives.
  • The deeper structural contest is over what ranks results — links crawled by machines versus endorsements from people — and Google's wait-and-see posture keeps that decision deferred rather than settled.

The trend: Search is heading toward a decision between link-based and people-based ranking signals, and in January 2008 Google chose patience, betting its scale lets it incorporate social input late but on its own terms.