

30 Sep 2026 · 2m · 1 chapter

The biggest mistake brands make when correcting inaccurate information in AI search is relying too heavily on third-party sources, instead of using first-party content and data to improve model accuracy.
Alex German, co-founder and CEO at Bluefish AI.
Brands should close AI accuracy gaps with first-party tools, including direct data feeds to models; once the right diagnostics are done, brands can take control of AI accuracy.
Mentions “angry guy on Reddit” versus brand-verified information treated as “gospel truth.” Sponsor/related: Previsible highlights a strategy-first SEO approach used by brands like Yelp, eBay, Canva, Atlassian, Square.
Written by AI. May contain mistakes.
Strategies for brands to enhance AI search accuracy.
“likely to treat as sort of the gospel truth versus, you know, angry guy on Reddit.”

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On Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast, what are the key points of this episode?
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0:00The 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 IHearEverything.com. Welcome to the Voices of Search podcast and I Hear Everything production. In this podcast, we'll share the news, knowledge, and strategies you need to navigate the ever-changing world of SEO. Ready to expedite your company's organic growth efforts? Sit back, relax, and get ready for your daily dose of search engine optimization wisdom.
0:41Here's today's host of the Voices of Search podcast, Tyson Stockton. My name is Tyson, and joining me today is Alex German, co-founder and CEO at Bluefish AI. And what's the biggest mistake brands make when trying to correct inaccurate information in the AI search? Exclusively focusing on like third party sources. Very often there's a lot you can do with first party content, first party data. There's just a lot of first party tools to close that gap. We're seeing, you know, direct data feeds to models start to play a major role on the accuracy front where, you know, the models are. time for a one minute break to hear from our sponsor previsible so you're looking for seo help and you got a couple of options you could start replying to spam from agencies that claim they can get you to rank number one on google you can pay an hourly rate for a consultant who will inevitably nickel and dime you with hourly charges or you can work with a cookie cutter agency to quickly launch a strategy-less project with low success rate none of those sound very good now do do they?
1:45Well, that's where Previsible's integrated consulting model comes in. Previsible draws from a collective 40 years of SEO and digital marketing experience to unlock your organic growth opportunities. They build custom solutions that combine strategy, technical expertise, content, and reporting to effectively operationalize SEO for your business. Previsible's four-stage approach ensures that your SEO programs thrive by starting off with a strategy-first approach. Then they support you in your efforts to create quality content, help you identify technical issues, and most importantly, they'll work with your cross-functional teams to integrate your SEO strategies to make sure that your SEO budget actually drives results, not just your agency's bottom line.
2:27So join brands like Yelp, eBay, Canva, Atlassian, Square, all who rely on the SEO consultants at Previsible. For more information, go to previsible.io. That's Previsible, P-R-E-V-I-S-I-B-L-E dot I-O.
2:47Increasingly looking for high quality brand verified information that they are much more likely to treat as sort of the gospel truth versus, you know, angry guy on Reddit. There's a lot that brands can do to take control of their AI accuracy once they have the right diagnostic.
3:09Thank you.
Most brands fight AI inaccuracies in the wrong place. Alex Sherman, co-founder and CEO of Bluefish AI and former co-founder of PromoteIQ (acquired by Microsoft), now helps enterprise brands close AI accuracy gaps across search and discovery platforms. He outlines why first-party content and direct data feeds to models outperform third-party correction efforts, how large language models increasingly weight brand-verified information over unverified sources like forum commentary, and the diagnostic framework brands need to identify where their AI accuracy gaps actually originate.
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