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Keyword

A keyword is a word or phrase with special significance for representing a topic, information need, content relevance, or syntactic role.

How 3 Manning books explain it

WordPress Power Toolkit: Harness AI to build next-level websites

A keyword is a significant word or short phrase submitted to a search engine or AI system to identify information a user wants to find.

How it is used
Connects website topics and content with terms prospective visitors use in search engines or AI prompts.
How deep it goes
Explains selection through audience intent, synonyms, tools, natural placement, and misuse warnings without search-algorithm internals.
Examples
Uses a Dallas coin shop, an Instant Pot recipe site, and a water-garden site scan to generate keyword ideas.
What you can do after
Apply it via GPT, Google Keyword Planner, or SEO plugins to choose and place relevant terms naturally.

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Writing for Developers: Blogs that get read

A word or phrase that represents a subject users may search for and helps information-retrieval systems match content to queries.

How it is used
Helps articles remain discoverable after launch by matching reader searches with titles, metadata, headings, and related publishing fields.
How deep it goes
Explains selection, placement, and comparison through search intent, while stopping short of prescribing complicated SEO formulas.
Examples
Compares “streaming data” and “event streaming,” and recommends broad terms alongside qualifiers such as Rust, performance, and concurrency.
What you can do after
Apply keywords via Google Trends and natural editorial placement to improve an article’s reach and relevance.

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Starting Data Analytics with Generative AI and Python

A word or short phrase that represents a topic, property, or information need in text analysis or retrieval.

How it is used
Uses keywords to search customer reviews for service problems, sentiments, and feedback relevant to business decisions.
How deep it goes
Explains selection risks, demonstrates multilingual examples, and notes context and word variations without developing a full matching method.
Examples
Uses restaurant-delivery complaints, Portuguese positive-review terms, translations, and a Python API function as examples.
What you can do after
Apply it via the OpenAI ChatGPT API to generate candidate review-search terms, then inspect context and language variations.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.