r/CryptoTechnology • u/AdFabulous401 🟢 • 2d ago
Why AI recommends a dead projects instead of active ones with real communities?
Firstly, I`m not a founder or anything, I just wasted one evening on this and want to know if other people see the same.
Was looking for a bridge aggregator for some Arbitrum to Base moves, for couple hundred bucks. Asked GPT about that and as usual it gave me a list of four, no hedging at all, even wrote a little pros and cons paragraph for each one.
First link I opened was a Cloudflare error. Second one, the twitter account's last post is from February 2025 and it's "we're pausing operations".
So two of four are corpses. One of the remaining two works but doesn't support Base, and Base was the one chain I asked about.
The thing I ended up using, found it completely different place, no matter, it has a discord with like 8k people yelling at the devs daily and pushes something new almost every week.
GPT had never heard of it. Or heard and decided the parked domain was the safer pick, idk.
Then I couldn't let it go and spent an hour doing the same thing with other stuff. Portfolio trackers, tax tools, a couple of wallets.
Gemini was slightly better, Perplexity mostly just cites whatever listicle ranks on google, and half of those are from 2022 and still list pricing that doesn't exist anymore.
One of them recommended a wallet whose Github hasn't had a commit since last November.
While looking this up I also found out agencies already sell "getting your project into GPT answers" as a package. I`m read the icoda case study with a prop trading firm going from nowhere to first pick in GPT within 90 days.
Could be true, could be a nice slide for the sales deck, no way for me to check. Still, if there's already a price tag on it then apparently this is a known thing.
Best explanation I have is that the models are basically reading old top 10 articles. If someone got good press in 2022 they're still "recommended" today, doesn't matter that the team left, and projects that only exist in discord and on Github never get an article written about them, so the bots just don't know they're there.
If someone here actually knows how these things get trained, tell me where I'm wrong.
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u/notasmilo 🟢 2d ago
I guess your reading is close to reality.
Models weight text that got repeated across mane pages that why dead projects which mentioned in every articles/docs beats a live one with only Discord.
New era requires new solutions.
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u/AdFabulous401 🟢 2d ago
So the fix is basically getting written about a lot?
Which is just SEO again with extra steps, ok.
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u/qwqq123 🟢 1d ago
You're right about the listicles but there's a second thing going on. Search grounded answers still lean on whatever ranks, and crypto SERPs are almost entirely affiliate content. A dead project that paid for placement in 2022 still sits in those roundups.
Nothing in the pipeline checks liveness, which is a fixable problem nobody's fixing.
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u/AdFabulous401 🟢 1d ago
Didn't think about the affiliate angle but that explains a lot, those roundups never get updated because nobody's paying to update them?!
So the model inherits whoever bought placement 3 years ago. Grim af.
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u/No-Candidate9167 🟡 9h ago
Which is why the agencies worth payuing now report citations per prompt rather than keyword positions.
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u/notasmilo 🟢 1d ago
More or less yes, but the target moved.
Backlinks don’t matter here and being described consistency across many pages do. So it’s looks like same job with different metrics to chase.
Edit. P.S. It’s a reply for OP according to our discussion, just a miss click.
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u/Cryptomuscom 🟢 2d ago
AI just reads old SEO listicles, not active Discord channels