The mechanics
behind every
AI answer.

The full technical stack - from the 2017 paper that broke Google's monopoly to why the alignment method your target model uses affects what it treats as citable. First-party documentation and primary sources. No vendor spin.

16 Articles

Platforms covered

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The AI Browser Died. Now Agents Browse as Your Reader. OpenAI shut down Atlas and moved agentic browsing into a Chrome extension. The agent now runs inside your reader's session, using their logins, and you can't block your own reader.

What you get from reading this series.

01

Understand

Why your rankings don't transfer to AI visibility.

RAG retrieval, attention mechanisms, and query fan-out work nothing like the systems you've optimised for.

02

Read

What the platforms actually published, not what vendors say.

Google, Microsoft, Anthropic, OpenAI, Perplexity. First-party documentation, summarised and made actionable. Where they've been silent, the series explains why.

03

Decide

With a foundation that holds up when the platforms shift again.

Tactics date. Foundations don't.

What's in the series.

Attention Is All You Need: The Google Paper That Accidentally Ended Google's Search Monopoly.

The 2017 transformer paper: what it actually said, why Google built it, and how it became the engine behind every AI product that now threatens search as Google knew it.

How Large Language Models Actually Work: Tokens, Context Windows, and Why Your Content Gets Ignored.

Tokenisation, context windows, the "lost in the middle" problem. What's happening inside the model when it reads your page, and what that means for how you structure content.

What Is RAG: the Only Thing That Matters for AI Search.

Retrieval-Augmented Generation is the mechanism connecting your content to AI-generated answers. Once you understand it, the rest of AI search visibility clicks into place.

The AI Search Race: ChatGPT, Gemini, Claude, Copilot, and Perplexity. A Technical Timeline.

The models, the milestones, and the architectural decisions behind every AI search product in market. A reference article for placing any development in context.

How Google AI Overviews and AI Mode Actually Work: Why Your SEO Rankings Don't Guarantee AI Visibility.

Query fan-out, passage-level retrieval, the decoupling of organic rank from AI citation. How the architecture determines what gets surfaced, and what doesn't.

How to Be Surfaced in AI Search: What Google, Microsoft, Anthropic, OpenAI, and Perplexity's Own Documentation Actually Says.

I've read all five platforms' first-party documentation so you don't have to. This is what they actually say, and the gaps in what they won't tell you.

Follow-on articles

Why the Bing AI Performance Report Is the Most Underused Tool in GEO.

Microsoft's Bing AI Performance report is the only first-party citation dashboard from any AI search platform. What it shows, what it doesn't, and how to build it into a repeatable measurement workflow.

The GEO Documentation Gap: Why Three Platforms Haven't Told You How to Rank in Their Systems.

Google published a guide. Microsoft published measurement tooling. Anthropic, OpenAI, and Perplexity have published nothing equivalent. Understanding why is more useful than waiting for guides that may never arrive.

Constitutional AI vs RLHF: Why the Alignment Method Affects What Gets Cited.

ChatGPT is aligned with RLHF. Claude is aligned with Constitutional AI. These are not interchangeable approaches, and the difference affects what each model treats as trustworthy and citable at the margin.

Training Data Is the New Ranking Factor: The Common Crawl AI Visibility Audit Explained.

Before RAG, before indexing, a site has to be reachable by the crawlers that feed AI training data. The Common Crawl AI Visibility Audit is the free, 90-minute framework for checking (and fixing) the upstream layer most SEOs have never looked at.

Blocking AI Training Can Cost You Search: Cloudflare's September Defaults Explained.

Cloudflare split AI bots into Search, Agent and Training, and changed the defaults on 15 September 2026. Multi-purpose crawlers resolve to the most restrictive rule, so a training block can take your search visibility with it.

Google Finally Reports AI Visibility. It Still Won't Tell You What It's Worth.

Search Console's Generative AI report reached every site on 31 August 2026. It gives you impressions and nothing else: no clicks, no queries, and no split between AI Overviews and AI Mode. What it proves, and what it can't.

The AI Search Statistics Everyone Repeats, and Where They Actually Came From.

Gartner's 25% prediction rests on a survey of 299 people. The 14% AI Mode figure isn't Google's, and I published it wrong myself. AI traffic converts 3x, not 23x. The audit, and the method for running it yourself.

97% of llms.txt Files Are Never Read. Here's the Data.

Ahrefs studied 137,000 domains and found 97% of valid llms.txt files received zero requests. No major AI provider has adopted it, and Google's own documentation says you don't need one.

Schema Markup Doesn't Drive AI Citations. It Still Matters.

1,885 pages that added schema, against 4,000 matched controls, tested with difference-in-differences. The effect on AI citations was nil. Why the mechanism was never going to deliver it, and why you should keep your schema anyway.

Agentic Browsing

The AI Browser Died. Now Agents Browse as Your Reader.

OpenAI shut down Atlas in August 2026 and moved agentic browsing into a Chrome extension. The winning model runs the agent inside your reader's own session, using their logins, which breaks how most people think about blocking AI bots.

Important sources.

Google

OpenAI

Anthropic

Microsoft

Perplexity

Common Crawl

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