
LinkedIn Content Strategy & Writing Style
Co-Founder & CMO at Tinct | The context engine for B2B go-to-market | AI landing pages for every account, ad and visitor (human or AI agent)
1 person tracking this creator on ViralBrain
Jean Bonnenfant positions himself as a hands-on B2B growth operator and AI-native marketer, building Tinct around contextual, account-specific go-to-market experiences. His content centers on practical AI leverage, revenue attribution, product-led workflows, and the changing mechanics of how humans and AI agents discover information, often grounding arguments in sharp numbers and concrete tools like Dreamdata, Viktor, MCP servers, and AI landing pages. He stands out for pairing strategic perspective with unusually specific operator detail, from 18 automated workflows to $133,752 in sourced revenue. His work also productively intersects education, brand craft, and transparent product partnerships, making promotion feel like a case study rather than a pitch.
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Everyone jokes that AI is making us dumber. Honestly, if you use LLMs as an order-taking machine, it might be true. "Write this. Fix that. Do it again." You learn nothing. You just outsource. But th…

0.0 posts/week
Posts / Week
20
Total Posts Analyzed
MEDIUM
Posting Frequency
0%
Avg Engagement Rate
STABLE
Performance Trend
180
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
85/10
Uniqueness Score
YES
Question Usage
0%
Response Rate
Writing style breakdown
<start of post>
Someone I follow (nextpath ai) has been logging every source their AI assistant cites since June. Not the answers, just the citations.
Her finding: she didn't recognize almost ANY OF THEM.
That stuck with her, because she's currently researching AI and shopping, specifically how AI recommends products, so she went looking for why.
First stop: Consumer Reports. They've tested products since 1936. Check their robots.txt and you'll find GPTBot disallowed, Google's AI crawler disallowed, and Common Crawl (which feeds a lot of training sets) disallowed too.
They don't want their testing scraped. And they're not alone.
60% of reputable news sites now block at least one AI crawler in their robots txt, up from 23% in 2023. Misinformation sites? Only 9%. (Study: "Is Misinformation More Open?", ACM Web Conference 2026 / arXiv)
Why now? Bot traffic passed human traffic on the web for the first time in 2025. Imperva's Bad Bot Report put it at 51%. Cloudflare confirmed the same milestone independently. Sites with something to lose put up "no entry" signs.
So when your AI tool "browses" the internet, it's not reading the internet. It's reading whatever's left unlocked. Call it the unlocked web.
Researchers checked 26,000+ sources cited by AI search engines. Roughly 1 in 6 were themselves AI-generated content. AI training on AI. (Study: "Synthetic Sources?", arXiv 2026)
Ahrefs analyzed 26,283 URLs ChatGPT cited across 750 "best X" queries. 44% were "best of" blog listicles, including plenty where the brand ranked itself #1.
Then there's "post-hoc citation." Multiple studies now show the model often writes the answer first, then goes looking for sources that support it, rather than reading first and answering second. Seer Interactive tested this pattern across 362,000 AI responses and found the same thing.
So here's the practical takeaway: when ChatGPT or Claude gives you a citation, click it. Check if your answer is actually on that page.
This is basic AI literacy now. The same way "check the URL" became basic internet literacy 20 years ago.
</end of post>
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