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AI Knowledge Signal

If an AI system learned about your business today,
what would it learn?

Organisations that publish structured, machine-readable knowledge TODAY give themselves the best chance of influencing how AI systems describe them — and their competitors — for years to come. This is the new discipline of Generative Engine Optimisation (GEO) and AI Search Optimisation (ASO): maximising the likelihood that your knowledge survives AI corpus filters and shapes AI responses.

This is, in our view, the biggest change to search in 20+ years. Adoption of AI models is quickly growing and search engines are using AI to provide zero-click answers.
Hundreds of millions of people now access knowledge through AI
1B+
Weekly active users on ChatGPT, up from about 900M in February 2026 (when it also reported 50 million paying subscribers). One of the most rapidly adopted platforms in history.
OpenAI, September 2026 (earlier figure: 'Scaling AI for Everyone,' February 2026)
10%
Of the world's adults used ChatGPT by July 2025 (then 700M weekly users) — representing a fundamental shift in how knowledge is accessed.
2.5B
Messages sent to ChatGPT daily (July 2025) — AI answers are replacing search results as the primary source of information.
46.4%
ChatGPT's share of AI assistant usage — below 50% for the first time, with Gemini at 27.7% and Claude at 10.3% (mobile app users, May 2026). Visibility now has to be earned across several engines, not just one.
AI is now producing and consuming the majority of new web content
74%
Of new web pages contain AI-generated content — a study of 900,000 newly created pages.
50%+
Of new online articles were AI-generated at the late 2024 peak — AI content surged from under 5% in 2020, briefly surpassing human content before plateauing at roughly equal shares.
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80%
Of consumers rely on zero-click results for at least 40% of their searches — research that bypasses traditional web results entirely, cutting organic traffic by an estimated 15–25%.
48%
Of buyers use AI tools to research software — organisations not present in AI responses are invisible at the moment of decision.
50%
Projected drop in brands' organic search traffic by 2028 (or more) as users shift to AI assistants for research and decision-making.
~4.4x
AI-referred visitors convert about 4.4x better than organic search visitors — AI answers send qualified intent, not just traffic.
40%
Up to 40% visibility uplift in AI-generated responses from adding citations, quotations and statistics to content — the best-known test of GEO tactics.
12%
Of URLs cited in AI-generated answers (ChatGPT, Gemini, Copilot) overlap with Google's top 10 organic results. In a dataset of 15,000 prompts, ranking high in SEO did not predict inclusion in AI responses.
48%
Of tracked queries across nine industries return a Google AI Overview rather than just blue links (Feb 2026) — up from 31% a year earlier as AI answers displace traditional results.
<10%
Citation accuracy of LLMs answering from memory alone in academic citation tests — peer-reviewed testing across 120 papers found models without a retrieval layer stayed under 10% and hallucinated their sources. AI cites what it can retrieve, not what it remembers.
94%
Of B2B buyers use generative AI in their research. For professional queries, LinkedIn is the most-cited domain in AI search (Profound, 2026).
75%
Of LinkedIn citations in AI answers come from individual member profiles, against 25% from Company Pages. Named experts get cited; brand pages less so.
Meltwater, 2026, via LinkedIn, Oct 2026 (vendor-reported)

The window for shaping AI knowledge representation is open — briefly
Training data is set now
AI models learn from current web content, so what is published today is likely to shape what AI systems say about your organisation for some time. Waiting means ceding that ground to competitors who act first.
Representation, not just visibility
Search optimisation made organisations findable. AI knowledge publication significantly improves how accurately organisations are described by AI. When AI answers questions about your field, whose expertise does it represent?
Corpus filters are aggressive
AI training data is heavily filtered. Generic, thin, or low-credibility content is removed before it ever reaches a model. Only structured, epistemically sound content survives — and shapes AI responses.
First-mover advantage is real
Knowledge already in AI systems can be difficult to displace. Organisations that establish an authoritative AI presence early are likely to define the baseline, which can make it harder for late entrants to correct the record. No tool can guarantee inclusion.
AI distorts without guidance
Without structured publication, your ideas pass through multiple AI filters that can compress, conflate, or misrepresent them. The result is an AI description of your organisation that you did not write and cannot easily fix.
Your competitors are moving
AI systems are trained on content published now. Every week of inaction is a week in which competitors, commentators, or critics are shaping the knowledge base that AI uses to answer questions about your space.
See the research, academic papers, and provider evidence behind every claim in this briefing. Research & Evidence →
Free to start · $99.99 USD discovery call · you pay the second half when it works
Free: 30 printable How-To Guides, the first 20 pages of the framework, and a URL audit that checks any page's AI readiness in under 30 seconds
Discovery call ($99.99 USD, one-time): the full framework (PDF + SKILL.md) emailed when you book, plus a one-to-one call with Christopher on where your brand stands in AI answers
Implementation: billed hourly against a scoped estimate. You pay 50% upfront
We measure how AI systems mention and cite your brand before we start, and re-measure after. You pay the other 50% only when your brand has improved.
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