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Create Semantic Topic Map in Seconds

Find what queries, entities, questions and concepts Google thinks are closely related to a topic

Semantic Keywords Result

Identify Popular Semantic Questions

Find the most popular questions people ask about any topic using their meaning and not just keywords

Semantic Questions

See How It Works


Semantic Keyword Research
Our tool automatically extracts and presents most popular entities, questions and queries directly from Google. It helps you to create a semantic map of a topic, coordinate your content creation process to boost topical authority, and achieve higher visibility
Keyword Lists
Curate lists of the keywords you discover using our tools with Keyword Lists. Manage, customise and share lists of the keywords that matter most to you and your audience.
Exportable Data
You can export data in a number of formats, including CSV as well as the visual data representations. Easily share and analyze with your team.
Bulk Keyword Research
Got a huge list of topics you need to scrape autocomplete data for? Our Bulk Search feature allows you to upload a CSV file of keywords and we’ll scrape all of them in one go for you, saving you having to manually search each one.

Frequently Asked Questions

What are semantic keywords?

Semantic keywords are words that have similar meaning or related to the same context. For example, "natural language processing" is related to "artificial intelligence" as they are often used together. Semantic keywords help Google to disambiguate between entities that have the same spelling, but different meaning. In general, using semantically related keywords can signal Google of the quality of a page and the extent to which it covers a certain topic.

Why are semantic keywords important in SEO?

Semantic keywords help search engines to better understand content. For example, the word "python" can mean both a snake and a programming language depending on the context in which it is used. If there are other semantically related words in an article, such as "database" or "API", a search engine may identify that Python means a programming language in this context. On the other hand, if the words like "cobra" or "prey" are used in an article, a search engine may conclude that, in this case, python is a snake. In general, semantic keywords are an indicator of the scope and breadth of content.

What is the difference between LSI and semantic keywords?

LSI keywords are a big misconception in SEO. John Mueller from Google has previously confirmed that Google doesn't use them. LSI keywords term goes back to an original paper from 1989, and since then NLP techniques have improved tremendously. Semantic keywords, on the other hand, indicate keywords with a close meaning, but different spelling. No LSI keyword research tool can identify them. Our tool uses a proprietary algorithm based on live Google data and provides you with semantic keywords that are not only closely related, but also co-occur frequently in different queries related to a topic.

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