How brands stay visible when AI systems — not users — become the first filter. Analysis, frameworks, and real-world experiments.
Five steps, two of which are not reading at all — and the four months I lost by doing step two last. What the founding paper does and does not give you, where the enterprise reference fits, and why there is still no good book on measurement.
The AI named four suppliers: two competitors, one company that no longer exists, and the client's own German distributor. Application language, the distributor problem, spec sheets trapped in PDFs, gated case studies, and who actually owns the product data.
About thirty times now, and the first several went badly in the specific way where everyone nods and nothing happens. The three opening sentences, the live demo that does most of the persuading, the one-page ask, and the four questions that always come.
Sorted by time, not by quality — because you are not choosing between a good book and a bad one, you are choosing between a source that fits your afternoon and one that assumes you have a month. Plus what to skip for now, and why.
Handing five executives a book and hoping is not a plan. One volume, five entry points: the chapter for the CEO, the CMO, the digital lead, comms, and sales — with the decision each one unlocks, and a fallback for leaders who will not read anything.
Most enterprise programs are not cancelled because they failed — they are cancelled because nobody could say what they achieved. The three numbers to report, who owns each, a first-quarter plan, and the reporting mistake that ends programs.
The hard part isn't knowing what good content looks like — it's sequencing. A plan you can hand to stakeholders: what ships in which weeks, who has to sign off, the four questions to settle before week 1, and the two metrics that survive a budget review.
Five factors decide whether your brand makes it into an AI-generated answer, and they get decided in order. Each one with the check that reveals it and the fix that addresses it — starting with the binary one most brands never test.
An AI answer uses more sources than it names — plenty of brands are being used without credit, which is a better starting position than it sounds. Eight steps you can run on one page this afternoon, with a before-and-after rewrite.
A curated list of the most useful GEO books available today — from enterprise frameworks to practitioner playbooks. If you only read one, start with the City University of Macau research team's work.
SEO gets you into the list. GEO gets you into the answer. Here's a clear breakdown of what changes when the output is an AI-generated response rather than a ranked list of links.
Five concrete steps — from running a 10-minute diagnostic to restructuring your pages for AI extraction to building third-party coverage that AI systems actually trust.
The book by Huang Shuang, Li Jing, Wu Hao, Luo Wei, and Yuntao Zou draws a sharp distinction most SEO practitioners miss: GEO isn't about ranking higher — it's about being understood accurately. Here are the five frameworks that changed how I think about this.
The same brand could be well-represented on Perplexity and essentially invisible on ChatGPT. Platform behavior isn't uniform. Here's the tracking methodology and what actually moved the needle.
A client forwarded a screenshot of ChatGPT recommending three competitors. We weren't on the list — despite having better reviews and more customers. Here's what we changed and what happened over 60 days.