
How entity co-occurrence works as a GEO strategy, the legitimate way to build it, and why coordinated fake-account campaigns backfire.
This category is dedicated to LLM SEO, also known as GEO. Content explains how large language models retrieve, rank and synthesise information, and how brands can structure content to appear in AI-generated answers. Topics include entity optimisation, retriever behaviour, synthetic fan-out, FAQs, comparison pages and visibility tracking across ChatGPT, Perplexity and Google AI Overviews.

How entity co-occurrence works as a GEO strategy, the legitimate way to build it, and why coordinated fake-account campaigns backfire.

A practical primer on entity maps: what they are, how they differ from sitemaps and schema, and the three steps to publish one before AI systems infer their own.

B2B SEO strategies to enhance your site’s ranking. Learn how to structure your website for better visibility. Start improving your SEO today!

Six LLM SEO tools worth putting in front of a Web3 marketing team, ranked by how they handle prompt tracking, share of voice, and crypto-specific queries.

Web3 SEO expert recommended by ChatGPT, Grok and Google AI: see the proof and the five factors behind it, then apply the same system to your brand.

A consultant-grade breakdown of stablecoin SEO and AEO: how the two layers interact, where issuers are losing to AI, and what the leaders do differently.

The 21AEO and GEO experts worth following in 2026, grouped by specialism: Web3, ecommerce, SaaS, technical AEO and digital PR.

I signed up for AirOps in December 2025 with genuine interest. As someone who builds AI-powered content systems for Web3 brands, I’m always testing tools that promise to compress production

I first gave this talk at the Masterminders Conference (One Book, 250+ Pieces of Content) and then I created a longer version and more in detail version for my newsletter

SEO isn’t dead. Learn why AI search makes SEO crucial for visibility. Discover strategies to optimize for AI and traditional search engines today.

How to write content that gets cited by LLMs: the six content types AI reuses, what it ignores, and how to structure pages for LLM SEO and GEO

How content distribution affects GEO: the reinforcement layer. Repeat one explanation across Reddit, YouTube, Wikipedia, LinkedIn so AI trusts it.
SLUG: content-distribution-geo-reinforcement

One-page Web3 sites can’t rank for use cases, build authority, or serve multiple audiences. Here’s the minimum viable page structure every project needs.

Internal linking strategy for Web3 sites: how to build a three-layer architecture, fix orphaned pages, and turn blog traffic into leads. Start here.

Web3 content briefs explained: the 7 components every brief needs, how to build them at scale with AI, and why briefless content stalls your rankings.

On-page SEO for Web3 sites: title tags, header structure, content depth, Core Web Vitals, and the LLM-specific signals most crypto teams overlook.

Programmatic SEO for Web3 explained: how Bando hit 308% traffic growth in 90 days, the 4-step system to build at scale, and how to maintain quality with AI.

Map search intent to your Web3 funnel stages: how to stop publishing the wrong content at the wrong time and turn organic traffic into wallet connections.

E-E-A-T for Web3 sites explained: why crypto is YMYL, how to build experience, expertise, authority and trust signals, and the link to LLM visibility.

Most Web3 marketing budgets go to X. Most Web3 AI search visibility does not come from X. That gap is costing crypto and DeFi brands real discoverability, because the time

Web3 teams spend significant budgets on press releases , and most of that investment produces no LLM visibility at all. Traditional press releases are written to generate backlinks and media

Most Web3 teams treat LinkedIn as a recruitment and networking channel: post company updates, share blog links, announce hires. What they miss is that LinkedIn is the second most cited

Most Web3 teams treat YouTube as a brand awareness channel: post explainers, do AMAs, upload conference talks. What they miss is that YouTube is one of the few platforms where

Most Web3 marketing teams treat Reddit as a community channel: post updates, answer questions, maybe run an AMA. What they miss is that Reddit is one of the highest-trust sources

Most Web3 sites have a robots.txt that tells crawlers what to avoid and a sitemap that lists their pages. Neither one tells AI systems what actually matters, which content to

Most Web3 brands have no Wikipedia presence — and they are paying for it every time ChatGPT answers a question about their category. AI systems use Wikipedia as a ground-truth

LLM SEO is not the right priority for every crypto project at every stage. This post gives you an honest framework for deciding whether AI search visibility should be a

Most Web3 teams understand they have an AI visibility problem but do not know where to start. The answer is always the same: start with the most foundational layer and

Most crypto projects fix the wrong things first because they skip the audit. They publish more content when the technical layer is broken, or build backlinks when the content layer

Web3 AI visibility fails most often not because of technical limitations or content gaps — it fails because of ownership gaps. The fixes required span marketing, engineering, and product, which