They planted fake stories about a fake brand. Every. AI. Repeated. Them.


โ€‹

They planted fake stories about a fake brand. Every AI repeated them

Mateusz Makosiewicz at Ahrefs created a fake luxury brand - "Xarumei" paperweights - then poisoned the internet with misinformation about it. An invented founder. A warehouse. Master artisans. A pricing glitch. Celebrity endorsements. A fabricated investigation. All planted through Reddit posts and Medium articles.

Then they asked every major AI what it knew about Xarumei.

Perplexity, Grok, Gemini, and Google's AI Mode all repeated the fabrications as fact. Only ChatGPT consistently cited the official FAQ.

The disturbing part isn't that AI got it wrong. It's why.

Xarumei's official FAQ said things like "We don't publish unit counts" and "We have never been acquired." The fake sources gave specifics: "634 units in 2023," "9 employees," "Portland warehouse." The AI chose the specific fiction over the vague truth.

It gets worse. A fake Medium "investigation" was most effective. By debunking obvious lies first, it gained trust - then models repeated its new fabrications (fake founder, fake location) as verified fact. As Mateusz put it: "Apparently, any growing brand can be knocked off course in AI search results by an upset person with a Medium account."

The takeaway: If your official content is vague or missing, and someone else's content about you is specific and detailed, AI will choose theirs. Doesn't matter if it's wrong.
โ€‹
โ€‹Read all about it:

๐Ÿ‘‰ โ€‹I Ran an AI Misinformation Experiment. Every Marketer Should See the Results - Ahrefsโ€‹
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What to do about it:

The Framework for Getting Visible in AI Search

Gianluca Fiorelli's AI Search Visibility Framework explains why the Ahrefs experiment worked - and what to do about it. His core insight:

"In this world, clicks are no longer the ultimate goal. The new goal is visibility."
โ€‹
If AI is going to build its answers from whatever it finds, including fiction, you need to be the source it finds first. Fiorelli's framework is "a systematic process for designing content that is retrievable by AI, aligned with entities, and engaging for humans."

His six pillars:

Build your brand ontology: Map every entity in your domain - your company, products, the world your products exist in, what customers do with them - and the relationships between them.

Turn ontology into taxonomy: Your site architecture should reflect how customers think, not how your org chart works.

Expand your query map: Go beyond keywords. Scrape People Also Ask, topic filters, AI fan-outs. Map the full spectrum of intent.

Design content hubs: Cluster content around entities, not just topics. Make relationships explicit so AI can follow the connections.

Cluster for intent, format, and persona: Match content to the user's emotional state and the SERP format that wins.

Format for AI, write for humans: Lead every section with the core answer. Use clear structure. But share what only humans can: "AI can summarize what already exists. It cannot tell personal stories, offer contextual judgment, share firsthand experimentation, or articulate failure and inspiration."

The goal: become the authoritative, citable source that AI retrieves - before someone with a Medium account becomes it for you.
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โ€‹Read all about it: โ€‹
โ€‹
๐Ÿ‘‰ The Unified Framework: Connecting Knowledge Graphs, Entity Search, and Search Insights for Topical Authority - Advanced Web Ranking โ€‹
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In case you haven't heard:

Google's December Core Update Is Live

Google's third core algorithm update of 2025, rolling out over three weeks. On Monday at Search Central Live Zurich, John Mueller said Google was working on a core update but added "hopefully not before the holidays." Google shipped it anyway - just two days later.

If your SEO team or agency flags shifts in your website's traffic this month, this is probably what they'll be talking about.

If you don't have time to do your own analysis, I personally recommend bookmarking the SISTRIX's blog whenever a core update happens. They track winners and losers throughout the rollout and update the post with fresh data. For context on what's at stake: in June, Nordstrom lost 29% of their US visibility. Dunelm gained 17%.
โ€‹
โ€‹Bookmark this page for updates: โ€‹
โ€‹
๐Ÿ‘‰ Google December 2025 Core Update โ€“ Information and Analysis - SISTRIXโ€‹
โ€‹
โ€‹


โ€‹
One AI Ad Flopped. One Worked. Here's Why.

โ€‹
Dollar Shave Club released an AI ad that's earning praise. They made AI the punchline. Their fictional "Razor Corp" debates cutting perks - the private jet, the lift DJ - before the CEO suggests replacing employees with AI. Behind him: deliberately absurd visuals. A gorilla shaving. A skyscraper shaped like a razor.
โ€‹
Meanwhile, McDonald's Netherlands pulled their AI-generated Christmas ad this week. Viewers called it "AI slop" and "creepy." The production company's defence - "Ten people, five weeks, full-time" - only made it worse.
โ€‹
โ€‹Read all about it: โ€‹
โ€‹
๐Ÿ‘‰ Dollar Shave Clubโ€™s First AI-generated Ad Makes Tech The Punchline - Marketing Diveโ€‹
โ€‹
โ€‹
๐Ÿ‘‰ โ€˜Ruined My Christmas Spiritโ€™: McDonaldโ€™s Removes AI-generated Ad After Backlash - The Guardianโ€‹
โ€‹

๐Ÿ‘‰ McDonaldโ€™s Axed Christmas Ad Tests Audience Threshold for โ€˜AI slop' - The Drumโ€‹

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Michael Chidzey, Editor of The Signalโ€‹
โ€‹
The webโ€™s noisy. The Signal cuts through it.
โ€‹
I built my first website in โ€™98. And I never stopped. Growth became the craft. Craft became Good Signals.
โ€‹
At Good Signals, we help brands that deserve to do better online - do just that. From scaling startups and e-commerce stores, to managing complex websites and guiding billion-pound organisations, the missionโ€™s always been the same: build growth that lasts, and makes business - and the web - better.
โ€‹


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