The ability of AI systems to handle growth in data or tasks.

AI that generates its own training signals from raw data.

AI that understands meaning and context in search queries.

Wordflow’s tool for optimising content for search visibility.

Converting speech into text.

Training AI on labelled data.

Artificially generated data for model training.

AI-generated video, images, or voices.

The proportion of AI-generated answers in which a brand is mentioned relative to its competitors, across a tracked set of prompts and platforms. A key competitive metric in Wordflow AI Search Campaigns for understanding relative brand visibility in the AI search layer.

The process of identifying and categorising the emotional tone of text — typically as positive, neutral, or negative. In AI search visibility, sentiment analysis reveals how AI platforms characterise a brand in generated answers. Wordflow analyses sentiment across all tracked prompts and platforms as part of AI Search Campaign reporting, surfacing shifts in how the brand is described over time.

The credibility and trustworthiness of a source as perceived by AI platforms when deciding what to cite in generated answers. Factors include domain authority, backlink profile, publication consistency, structured data, E-E-A-T signals, and existing citation history. Improving source authority is a core goal of GEO strategy — tracked in Wordflow via the Source Opportunities feature.

Standardised code (typically JSON-LD or Schema.org format) added to web pages to help search engines and AI platforms understand the content's meaning, context, and relationships. Structured data is a foundational GEO tactic — it makes content more legible to AI systems, increasing the likelihood of accurate attribution and citation in AI-generated answers.