Today, being average isn’t safe, it’s risky.
Because in a world moving this fast, average gets left behind.
But when you commit to excellence, you don’t just stand out-
you move things forward.
Treat your marketing team like counsel, not an audience. Full disclosure, no theater.
If the token’s thin, if the roadmap is vibes, if the plan is extractive or short-term, say it plainly. We can’t price risk or shape narrative around half-truths.
If you’re uncomfortable stating the reality, that discomfort is the signal. And don’t assume we won’t uncover it anyway. We always do.
Clarity in gives you leverage out. The more truth you put on the table, the stronger the story we can actually defend.
If we believe crypto is the future, we should start acting like it.
Too many talk about what’s being built, but rarely engage with the tools themselves.
When we start using what we preach, we stop being spectators, and start becoming the reason it works.
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:
1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.
2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.
3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.
4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.
5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero.
6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.
7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.
8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.
9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).
10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.
AI inference is collapsing toward zero. When everyone has access to near-frontier intelligence, the model stops mattering. The bundlers win. The wrappers die. The value moves to everything around the model.
This is AI's Spotify Moment 👇
https://t.co/q5M9Xtpuwf
BUSINESSES ARE NOW USING PREDICTION MARKETS TO HEDGE PROMOTIONS LOL
A BAR IN NYC HAD A PROMO IF THE KNICKS WIN, THEY COVER EVERYONE’S DRINKS FOR THE NIGHT
THE BAR PLACED A $5K HEDGE ON KALSHI THAT PAYS OUT IF THE KNICKS WIN
THE BAR WINS EITHER WAY
Bitcoin delivered.
So did Solana.
Even the ones people love to hate: XRP, LINK, BNB- they had their runs.
Meme coins? Sure. They moved the needle too.
But the game isn’t just about what pumps.
It’s about what lasts.
If you want something to keep growing, you don’t rely on hype.
You design a system that earns trust, holds attention, and can’t be switched off.
That’s how you build real momentum.
And that’s when the chart takes care of itself.
AI inference is collapsing toward zero. When everyone has access to near-frontier intelligence, the model stops mattering. The bundlers win. The wrappers die. The value moves to everything around the model.
This is AI's Spotify Moment 👇
https://t.co/q5M9Xtpuwf
✍️“Out of the great cloud of Al hype, the outline of the crash can now be clearly discerned”
Here’s some maths from today’s @TeleBusiness column, now online:
🔗 https://t.co/4MkFivjjER
Crypto didn’t slow down because the tech wasn’t ready. It slowed because trust wore thin.
Too many were burned, rugged, misled, left holding the bag.
It’s not about fixing the tech. It’s about rebuilding belief.
Web3 moves fast. That’s not the point.
Know where you’re going. Stay curious. Stay focused.
It’s not a race. It’s your path.
The work adds up.
What you’re building matters.
Harry Brignull started cataloging dark patterns in 2010 because one website made him angry. Fifteen years later, the tricks haven't changed. One Australian site stopped hiding fees. Repeat purchases jumped 20%. Conversions are visible. Trust isn't.
https://t.co/L0e3FuNFS7
Ego doesn’t make you strong. It makes you brittle.
The moment you believe you’ve arrived, you stop listening. Curiosity fades. Questions disappear. Learning slows.
What built the work gets replaced by confidence in the work. That’s when decay starts.
The rules don’t vanish because you’re winning. Ignore that, and the fall is already underway.