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Foundational Concepts

Discoverability and optimisation for Generative AI can be effective only when the foundational concepts are understood well.

4 articles

  1. Foundational Concepts

    How Discoverability Engine helps Brands Asses their AI Visibility within LLMs

    Consumer’s search behaviours have shifted. From search engines, people have moved to LLMs to get their answers. To top it all, AI systems and LLMs today act as a black box, nobody really knows what answer it will give to users in return to a prompt query. What does this mean for businesses with an online presence? Discoverability Engine helps brands analyse their digital footprint and its AI visibility.

  2. Foundational Concepts

    Core and Secondary Web Vitals: Measurement Metrics, Importance (for Humans and AI Agents)

    Core and Secondary web vitals are performance metrics standardised by google to measure the real world user experience of a web page. There are three core metrics and three secondary diagnostic metrics.

  3. Foundational Concepts

    Natural Language Processing (NLP) Forms the Basis of AI Citations

    Natural language processing is the linguistics field that is responsible for interactions between computers and humans. NLP helps machines understand, interpret and generate human understandable language. NLP has enabled the large language models and answer engines based on them. Hence, understanding NLP is quite crucial to understand the discoverability on the web and build AI visibility.

  4. Foundational Concepts

    Knowledge Graphs: Brain Behind the shift from SEO to GEO to Discoverability

    Knowledge graph is a concept which has been used by google to create this massive database of facts, entities and their relationship with each other. It is not random strings of character. The objective of building knowledge graphs is for the machines to understand the world how humans do.