External Communication

External Communication

Term explanation

Definition and meaning

External communication is the exchange of information between two organisations. For example, it can be an exchange with customers, clients or traders. Feedback from a customer also counts as external communication.

LIZ AI ensures external communication materials are always on-brand and data-accurate. Before any presentation leaves the organization, LIZ checks brand compliance and verifies content against your live data sources.

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Other glossary terms

Generative Engine Optimization (GEO)

Generative engine optimization (GEO) is the practice of structuring content and digital presence to improve visibility in responses generated by AI systems — such as ChatGPT, Perplexity, Google Gemini, or Claude — rather than solely optimizing for traditional search engine rankings. Where SEO aims to rank on a results page, GEO aims to be cited inside an AI-generated answer. As AI-generated responses now account for over 60% of all search interactions, GEO has become critical alongside classical prompt engineering strategies for any organization that wants to remain visible in AI-driven search.

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Master view

Master View in PowerPoint allows presenters to edit the Slide Master — a top-level template that controls the default fonts, colors, backgrounds, and layouts applied across all slides in a presentation. Changes made in Master View propagate automatically to every slide that uses that layout, making it the most efficient way to apply brand guidelines and maintain visual consistency across large presentations. Master View is essential for template creation and company-wide design standardization.

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Presentation Automation

Presentation automation refers to the use of software to automatically create, update, or distribute presentations based on predefined rules, templates, or live data. It eliminates repetitive manual tasks such as copy-pasting figures into slides, reformatting decks for different audiences, or applying brand updates across hundreds of files. Common use cases include automated management reports, investor updates, and sales decks that always reflect the latest numbers.

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Prompt Engineering

Prompt engineering is the practice of crafting and refining the instructions given to an AI system in order to produce better, more accurate, or more useful outputs. A well-engineered prompt provides clear context, specifies the desired format, and sets constraints that guide the model toward the intended result. In the context of presentation tools, prompt engineering determines how effectively a user can instruct an AI to generate the right slide structure, tone, and content — making it a practical skill for anyone working with generative AI tools.

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