Blockchain Time-Stamping
episode
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
17 min
3 speakers
3 chapters
transcribed 1 month ago
Transcript
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The Voices of Search Podcast is a proud member of the I Hear Everything Podcast Network. Looking to launch or scale your podcast? I Hear Everything delivers podcast production, growth, and monetization solutions that transform your words into profit. Ready to give your brand a voice? Then visit IHear Everything.com. Welcome to the Voices of Search Podcast, a member of the I Hear Everything Podcast Network. Ready to expedite your company's organic growth efforts? Sit back, relax, and get ready for your daily dose of search engine optimization wisdom. Here's today's host of the Voices of Search Podcast, Tyson Stockton.
Hey, what's going on? This is Tyson from Previsible.io, and joining me today is Michael Sumner, who is the CEO and founder at ScoreDecht. ScoreDetect utilizes cutting-edge technology to provide innovative solutions for credit scoring and risk assessment, delivering accurate and efficient results. Specializing in data analytics and machine learning, the company offers advanced tools for. financial institutions and businesses. Today Michael and I are going to be discussing blockchain timestamping. So with that, here's my conversation with Michael Sumner, CEO and founder at Scortect. Michael, welcome to the podcast. Thanks for having me, Tyson. So today we're we're talking blockchain, but obviously this is an SEO podcast.
So maybe if you can kind of just set the stage for the audience in relation to SEO, like why is blockchain relevant and kind of like where do you see that intersection between the two?
Sure. So the problem with SEO today is that we need to find out the history of a content over time. And the way to prove that can be through a database that you host yourself. But we can go further than that because there's got to be a solution for a public database that everyone can see that is not archive.org. Because we've seen in the past that archive.org has gone down due to hackers. So the next solution is the blockchain, which itself you could say is a database that stores information over time, is secure, it's decentralized, and as long as one person person in the world is alive that has access to the internet, they can continue running that blockchain.
Fair. So it's it's looking you're thinking of it kind of through the lens of how do you have a reliable kind of like record and history of what's going on with a piece of content. How how does that work in the sense of like URL versus actual content? Like are are you thinking of this in terms of like what changes are happening to a specific URL or is it more of like how is this one exact piece of content maybe used in multiple cases on the web?
Sure. So because the blockchain itself allows you to write smart contract code, which is a fancy way of saying, here's my code, it will never change, and it's out for everyone to read to understand how it runs. And the way that we've found to be the most convenient and the most trustworthy is a code that says we're going to write this piece of code. Only once and it will never be changed forever. And you can think to yourself, if I were to put some sensitive information, that would be quite destructive. So I wouldn't want to do that. So focusing on a privacy-first approach, we've been going for transactions, blockchain transactions, that will never change. But the best way to do that is just through an anonymous
Fingerprint of that piece of text. And if that piece of text changes over time, then we can see that change happen because it would be different based on maybe a space or a period or a set of characters. So from there, all we need to do is find out if something has changed over time. And that's what we need to get to the meat of with the understanding of how we can how. This audit trail over time and how that works with SEO, I'll just uh keep bringing this back to SEO for our listeners. To bring it back into SEO, we just need to figure out if that article has changed over time. And then from there, seeing that the article has changed over time, those points in time can then be used to determine if something is.
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