Buying decisions have always been shaped by outside influence, but that influence is increasingly coming from algorithms rather than people. A survey of 600 marketers asked how much machine-driven recommendations and rankings influence buying decisions today, and a clear majority report significant or very significant influence. Only a small share report little to no influence at all, suggesting machine involvement in the purchase path has moved from a fringe factor to a mainstream one.

Essential Statistics

• 32% of respondents report significant influence from machines on buying decisions, the largest single response.
• 27% report very significant influence.
• Combined, 59% report significant or very significant machine influence on buying decisions.
• Only 3% report no influence at all, and only 8% report very little influence.
• 12% report being unsure of how much influence machines have on buying decisions.

Key Takeaways

• Nearly six in ten respondents reporting significant or very significant machine influence suggests algorithmic recommendation has become a mainstream factor in purchasing, not a niche one.
• The small combined share reporting no influence or very little influence suggests very few marketers still view buying decisions as purely human-driven at this point.
• The 12% who are unsure suggests some marketers may not yet have a clear framework for measuring or even recognizing machine influence in their own funnel.
• This shift suggests marketing is no longer solely about persuading a person directly, but increasingly about influencing the systems that shape what that person sees and trusts in the first place.
• The scale of reported influence suggests brands that ignore machine-driven recommendation systems risk missing a growing share of how purchase decisions actually get made.

Actionable Insights

• Map where machine-driven recommendations currently show up in your own customer journey, whether that’s AI search results, marketplace algorithms, or recommendation engines, since a majority of marketers now see this as a significant factor.
• Treat visibility within algorithmic and AI-driven recommendation systems as its own strategic priority, separate from traditional SEO or paid media, given how much influence this data suggests machines now carry.
• If you’re part of the 12% unsure how much machine influence affects your buyers, start with a basic audit of how your product or service shows up across AI assistants, marketplaces, and recommendation engines.
• Don’t treat machine influence as a temporary trend. With 59% already reporting significant impact, this is worth building into long-term strategy rather than treating as an emerging or optional consideration.
• Reconsider how much of your persuasion-focused content and messaging is built for a human reader specifically, since a growing share of the audience evaluating that content may be an algorithm first.

‘You used to just need to convince a person. Now you’re also convincing whatever system decides if that person even sees you. That’s a different job, and most marketing teams haven’t adjusted to it yet.’ – Neil Patel