The internet has a trust problem. LinkedIn is uniquely placed to solve this.

It’s getting more difficult to determine who's real and who’s fake online. AI-generated profiles, cloned content and sophisticated chatbots make it more challenging to build trust on the open web. LinkedIn thinks the answer isn't starting over. Instead, it's strengthening the trust signals people are already using, and making them more portable. With Verified on LinkedIn, partner platforms can use the API to let users bring their LinkedIn‑verified identity or workplace credentials into other digital environments, reducing friction for users and boosting confidence in the businesses and community platforms they use.

For platform operators, trust is no longer just a moderation issue. It sits at the heart of user growth, confident interactions and brand reputation. Whether a business runs a marketplace, a review site, or a creator platform, its success depends on users recognizing and believing that the people they interact with are real and credible. That has become harder as generative AI lowers the cost of producing convincing fake profiles, cloned content and deceptive personas.

LinkedIn is positioning its verification model as a practical response to that accelerating shift. The company says nearly two-thirds of people worry about who they can trust online, while internet fraud and scams cost businesses an estimated $60 billion a year, according to Oscar Rodriguez, LinkedIn's VP of Product Trust. Against that level of risk and loss, any platform that can provide a stronger signal of identity gains a meaningful advantage, not only in safety, but also in user confidence and conversion.

Why LinkedIn thinks it can serve as a trust layer

More than 100 million LinkedIn members have already verified identity, workplace, or education information on the platform, with 75 new verifications happening every minute. That scale is the point. Trust signals only work when enough real people use and depend on them.

The core idea behind Verified on LinkedIn is simple: instead of asking users to prove who they are from scratch for every service they use, it lets them reuse verifications they have already completed on LinkedIn.

Portable verification reduces friction for users and platforms

The appeal for users is obvious. Verification is valuable, but repeated verification is tedious. Most people do not want to upload documents, confirm work emails or repeat identity checks separately across every marketplace, review site, creative platform and business network they use. A portable trust signal reduces that burden and makes credibility easier to establish in a few clicks. LinkedIn also reports that verified identities see more engagement with their LinkedIn posts, make more connections, gain increased visibility, and improve their social media presence.

For platform owners, the case is equally strong. Building verification systems internally can be expensive, operationally complex and difficult to scale globally. Verified on LinkedIn gives partners a way to add another layer of confidence without having to create every component themselves.

Early partner examples show where this could work

Adobe is using Verified on LinkedIn in both Behance and its Content Authenticity app, allowing creators to connect a verified professional identity to their work persona. In practical terms, that helps audiences, clients, and collaborators feel more confident that the person behind a portfolio or a piece of content is genuine. Trust signals become especially valuable as AI-generated media makes attribution and authenticity tricky.

By integrating LinkedIn verification into their review process, G2 can now confirm a reviewer’s verified identity, workplace, and education. It’s a win-win: These improvements help strengthen review credibility while making the moderation process more efficient. For buyers, that means more confidence in the feedback they read. For vendors, it means stronger trust signals attached to the voice of their customers.

Alexis Zheng, CPTO at G2 makes the following relevant observations: “As AI-generated content scales, identity becomes the most critical trust signal in software buying. By integrating LinkedIn verification directly into G2's review process — confirming reviewer identity, employer, and credentials — we've ensured every piece of buyer feedback is tied to a real, credible person. The result shows up in the data: fewer review rejections, higher approval rates, stronger signal quality overall. That matters for human buyers making decisions today, but it's also critical for the AI systems increasingly shaping shortlists on their behalf.”

Indeed, since launching LinkedIn verification, G2 has seen:

• 100,000+ G2 reviews from users verified on LinkedIn
• 40% reduction in review rejection rates
• 13-point increase in review approval rates
• LinkedIn verified reviews earned a 25% improvement in moderation efficiency

On Behance, Adobe’s online platform for showcasing, discovering and hiring creative work, Verified by LinkedIn has produced similar results. There, that integration saw hirers and creators obtaining more strong and convincing outcomes. These included the following:

• Hirers on Behance with verified identity or workplace saw 49% more proposals come back from freelancers active on the platform
• Hirers with a verified identity or workplace were twice as likely to find and hire the creative talent they needed
• Creators with a verified identity or workplace got 94% more — nearly double — engagements on Profiles. They also got twice as many job inquiries as compared to creators who didn’t participate in this program.

Other early partners include TrustRadius and UserTesting. Those also provide telling use cases, because these organizations depend on credible, attributable identities and content, with reviews and research only as valuable as the people behind them. If buyers suspect contributors are fake, paid, or AI-generated, the entire ecosystem loses credibility. That's why platforms built on ensuring that any person you interact with is genuine and authentic gain the most from a portable trust layer. These include user contributions such as ratings and recommendations, as well as live communications and events.

What tech leaders should take away

For IT and digital leaders, the bigger point is strategic. Identity on the internet has historically been fragmented, repetitive and inconsistent. Verified on LinkedIn points toward a model where trusted identity signals become more reusable across services. If that model gains wider adoption, it could help platforms reduce onboarding friction, improve trust between users and create more resilient online communities.

There are limits, of course. A verification signal does not eliminate scams, bad behavior or synthetic content. Nor should it be treated as a universal compliance mechanism. But as a provable source of trust tied to professional identity, Verified on LinkedIn offers something the web increasingly lacks: a recognizable, portable, and comparatively low-friction way to show that a real person stands behind an account or piece of content, and that they are a credible voice with relevant experience.

That is why LinkedIn’s push matters. In a digital economy where authenticity increasingly drives engagement, safety and commercial outcomes, verifiable identity is now a key element in platform infrastructure. Businesses that want stronger user confidence should start evaluating where a portable professional verification layer could improve their own products, communities and customer journeys.

Learn more

Trust is becoming essential to platform infrastructure. Platforms that build it in early gain a meaningful advantage over those that bolt it on as an afterthought. If you want to explore what the Verified on LinkedIn API could look like for your product, register your interest at Verified on LinkedIn. You can use it to find out whether portable professional verification belongs in your trust and safety roadmap.