Binance manages more than 100 million URLs and has grown from roughly 10% to 50–55% share of voice across crypto search.

In this episode, Dinesh Sivapragsam, Head of Organic Growth and SEO at Binance, explains what SEO actually looks like when conventional playbooks stop working at enormous scale.

He breaks down how Binance built SEO into a major acquisition channel, how a relatively small team prioritizes more than 100 million URLs, and why the speed that drives growth can eventually create technical SEO problems involving duplicate content, canonicals, redirects and discontinued pages.

Dinesh also explains why link building remains one of Binance’s ranking accelerators, why strong pages can still be pushed from the top ten toward position one with links, and how scaling link acquisition created an entirely different operational challenge: reviewing thousands of articles for quality and compliance.

We also get into AI and SEO. Dinesh explains what Binance now automates, why headlines and introductions still need human judgment, and why he believes today’s general-purpose LLMs are not yet SEO specialists.

International SEO becomes another major part of the conversation. Binance found roughly 16,000 variations around searches for buying crypto and Bitcoin in Latin America, while in Turkey a seemingly small product change — adding comments to a page — dramatically changed performance.

And unlike SEO teams that report primarily on rankings and traffic, Binance connects organic pages to registrations, user value and revenue, giving the C-suite a direct financial view of SEO performance.

Finally, Dinesh explains how Binance approaches negative backlinks, why the team doesn’t automatically try to create a perfectly clean link profile, and what navigating roughly 18 Google core updates has taught him about reacting too quickly to algorithm volatility.

Listen if you work in enterprise SEO, technical SEO, international SEO, programmatic SEO, affiliate marketing or organic growth — especially if you’re trying to understand what changes when SEO moves from hundreds of pages to tens of millions.

AI made producing content almost free. It did not make ranking almost free.

Kyle Roof and the PageOptimizer Pro team analyzed 10,937 webpages being actively optimized for search. The median score was just 33.1 out of 100, and 46.8% landed below 25 - the range Kyle describes as effectively invisible in competitive search.

The conversation examines what those pages were missing and why that matters in an AI-content economy.

Kyle explains why LLMs can produce fluent writing while missing basic on-page signals, why contextual terms matter more than most AI workflows account for, why Google doesn't necessarily need an AI-content detector, and how mass publishing weak pages may create a much larger site-wide problem.

We also discuss why commercial landing pages can be worse optimized than blog content, what happens when an agency sells content production instead of optimization, why Kyle believes E-E-A-T acts more like a minimum standard than a ranking boost, and what to do with hundreds of existing articles that aren't performing.

Listen if you run SEO, manage a content team, operate an affiliate or publishing site, use AI to produce content at scale, or are responsible for organic growth and want to know whether your content operation is actually building an asset.

Automated tools can scrape new iGaming license registrations and buy matching exact match domains almost immediately, creating a brand-protection problem before a new operator has even established itself in search.

In this episode, Dirk Schembri breaks down how domain drop catching, exact match domains, expired domains and 301 redirects are actually used in competitive iGaming SEO. He explains why exact match domains can still work, why he believes they may become even more interesting for AI search and AI citations, and why domain rating is one of the last signals he checks when evaluating an expired domain. Ownership history, previous niches, backlink quality and signs of abuse come first.

Dirk also takes us inside the economics of drop catching: milliseconds matter, competitive domains move into private auctions, and bidding can quickly go far beyond the original valuation. He shares the story of an expired travel domain he rebuilt using the Wayback Machine that still generates revenue, nearly 1,000 domains acquired under a due-diligence process that proved too loose, and a money page that never fully recovered after a seemingly minor URL change.

We also get into PBNs, churn-and-burn SEO, brand-domain attacks, Google updates, AI-powered domain infrastructure and black hat SEO in iGaming.

And Dirk makes one of the episode’s most controversial arguments: in iGaming, fully white-hat SEO is often not enough to compete—partly because operators have far fewer paid acquisition options to fall back on when organic rankings disappear.

Listen if you work in SEO, affiliate marketing, iGaming, domain acquisition, expired domains or brand protection—or if you want to understand how aggressive search operators think about risk, authority and ranking assets.

Gentoo Media could not find writers willing to put their real names next to casino content, so it built the writers instead.

Emma-Elizabeth Byrne explains what was inside each fake profile, why the AI generated faces had to be edited by hand until they stopped looking too perfect, and how personas were cast by market age and gender so the experience looked earned. She gives the numbers nobody else has published, one persona for a 500 page site, up to four for a large one, three to four staff on every profile.

As Director of Publishing at Gentoo Media, a company listed in Norway and Sweden, she oversees content across roughly 150 websites including AskGamblers and Casinomeister, and she presented this method on the main stage at brightonSEO before the trade press accused her of fabrication.

Listen for her answer on why nobody was deceived, and her bet on which publishing roles survive the next five years.

A click in the US costs $30, and the company bidding against you has more budget than NATO. Gaetano Romeo's answer was to concede the category term entirely and go after the searches that signal a customer is already leaving a competitor.

Listen for how organic went from 3% of pipeline to 20% in two and a half years, why Meta produces cheaper qualified B2B leads than LinkedIn, and why country-level keyword research beats translating the same page into six languages. Gaetano runs global digital marketing at EasyVista across the US, Canada, France, Germany, Spain, Italy and Portugal, and is targeting 30% of pipeline from organic without cutting a euro from paid.

If you run more than one market on a budget somebody else set, this is the conversation.

45% of ads made by the best ad makers in the world leave people liking the brand less than before they saw them. Staffan Engström reached that number by scanning 600 brains over two years with Stanford professor Baba Shiv, and in this conversation he connects it to the metric almost every budget still runs on.

You will hear why last click attribution worked in 2016 and is now the weakest number in marketing, why performance channels claim 5 to 20% more credit than they earn until growth quietly stops, why radio keeps winning in iGaming while market leaders overspend defending search, and why a visible price costs you up to 30% of attention.

Staffan spent 25 years in marketing analytics, sold a network of US TV stations to NBC, and now runs Fieldstream AI with Deloitte as delivery partner, measuring budgets from 5 to 500 million a year. Listen before your next budget review, because the channels you are about to fund may be claiming credit they never earned.

Why do so many SEO agencies get stuck between $10,000 and $30,000 a month? Nathan Gotch argues that the bottleneck is often the founder: they stay buried in fulfillment instead of building the systems, retention, and team required to scale.

Nathan breaks down the agency “valley of death”: keeping monthly churn below 5%, documenting operations, valuing the founder’s time at $1,000–$2,000 an hour, and handing off SEO even when the replacement is only a 7 out of 10. He also explains why AI-search fulfillment is still 80–90% SEO, how AI agents produced major profit gains across his businesses, which client-facing role he doesn’t see AI replacing anytime soon, and why some legal keywords can cost $800 per click.

Nathan is co-founder and CEO of Rankability, founder of Gotch SEO Academy, and author of The SEO Entrepreneur. He closes with a near-future prediction: humans may stop using traditional blue-link results directly, while search indexes become infrastructure for AI agents - and agencies need websites those agents can easily understand.

Most AI projects don't fail because the model is bad. They fail because companies hand AI a decision instead of a task.

Palak Behal, founder of MindVerse Labs, explains why 80% of enterprise AI projects fail, why AI sales agents often lose customers instead of growing revenue, and how she bootstrapped her AI sales agent Groaa from India into Western markets without raising outside funding. Listen for why brands lose 30 to 40 percent of customers by ignoring inbound messages, the real lesson behind Klarna's AI rollout, and why she now prices Groaa on business results instead of seats.

If you're building an AI startup, rolling out AI inside your own company, or wondering why so many AI projects fail despite heavy investment, this conversation is for you.