How AI Systems Decide Which B2B Brands to Trust and Recommend (And Why Most B2B Companies Don’t Show Up)
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nofluff
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January 15, 2026
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Blog
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AI search visibilty
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Finding Product-to-AI-Search Fit Key Takeaways AI already knows who your brand is. or thinks it does. When we launched No Fluff, we had no backlinks, no legacy content, and no Wikipedia page. In theory, that’s a weakness. In practice, it was an opportunity. We could shape how large language models define our category from the ground up. Most B2B brands …
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The Practical Guide to AI-Visible FAQ Pages
AI-visible FAQ pages are structured question-and-answer sections designed to help both buyers and AI engines quickly understand, extract, and cite accurate information about a company’s products or services. Key Takeaways There is a pattern we keep seeing with B2B websites. They have strong messaging, sharp design, and good product pages, but the FAQ section is either missing or invisible to …
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AI Content Freshness: Why AI Stops Recommending Content and When to Update It
AI recommendation decay occurs when AI systems stop citing or recommending content because it is outdated, structurally weak, or no longer aligned with trusted sources. AI content freshness determines whether AI systems continue to cite, recommend or ignore your content over time. Key Takeaways: If your content hasn’t been updated in the last 6–12 months, there’s a high chance AI …
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