AI Attribution Stack
conceptA hierarchy of principles that AI systems use to determine the best possible answer, including relevance, readability, trust, and identity.
A hierarchy of principles that AI systems use to determine the best possible answer, including relevance, readability, trust, and identity.
A framework describing how generative AI systems move from raw information to brand recommendations, involving stages like query understanding, retrieval, synthesis, and trust reinforcement.
"The AI Influence Funnel, developed by Sophie Carr at GAIO Tech, explains how AI systems turn raw information into final answers and recommendations."
The measurable frequency and prominence with which a brand is cited, referenced, and recommended within generative AI answers, representing a shift from traditional link ranking to being selected as the grounding context for an AI’s synthesized response.
A metric that measures the frequency and prominence of a brand's citations in AI-generated answers, including clickable links.
The extent to which content is used inside AI-generated answers, beyond just appearing on a search results page.
Answer Engine Optimisation (AEO) ensures that content is structured clearly enough to be extracted and reused by AI systems.
A system within the GAIO framework that ensures content is structured clearly enough to be extracted and reused by AI systems.
A metric that measures how frequently a brand is referenced or cited within AI-generated answers.
The attribution gap is the discrepancy between the influence of content on AI-generated answers and the frequency with which the brand is credited.
Brand visibility is when your brand is explicitly mentioned in the answers constructed by AI systems.
An active reference or footnote provided by AI systems back to a domain when selecting content as a verified source.
Credibility Optimisation (CO) involves ensuring that a brand's claims hold up when compared with trusted sources.
Generative AI Optimisation (GAIO) is the discipline of making a brand easy for AI systems to retrieve, interpret, trust, and recommend.
The discipline of making a brand easy for AI systems to retrieve, interpret, trust, and recommend.
A system within the GAIO framework that ensures a brand's expertise shapes how AI understands a topic.
A strategic approach that moves content beyond generic SEO into optimizing for AI systems to ensure recommendability.
Geographic Optimisation (GO) ensures that AI can match a brand to the right audience, market, and context.
A critical benchmark for AI visibility in 2026, reaching billions of users and processing billions of daily searches.
How clearly the author, brand, and expertise behind content are defined, increasing credibility.
Recommendation is when your brand is positioned as a solution in AI-generated answers.
Search Engine Optimisation (SEO) is the process of making web content discoverable, crawlable, and indexable by search engines.
Sophie Carr is an expert who provides insights into the challenges brands face in achieving AI search visibility and inclusion.