Brand keywords
Keyword universe in four tabs. Primary, Related, LSI, and Long tail. Every visibility query, audit weight, and blog topic depends on this set.
Executive summary
Three short paragraphs explaining the feature and value.
Brand keywords define the brand's keyword universe in four tabs. Primary holds the twenty to forty most important terms the brand wants to own. Related expands synonyms, rewordings, and variant phrasings of the primary set. LSI captures terms search engines associate with the topic. Long tail captures specific multi word buying queries.
Every keyword can be activated, paused, or weighted by importance. Each row carries frequency, content depth markers showing whether the brand has existing content, prediction signals showing trajectory, and competitor coverage indicating how crowded the term is right now across the relevant market. Honest weighting is the brand's strongest lever on what visibility scoring actually reflects.
Each keyword tile expands into a personal scan room. Inside the scan room hang competitors who appeared for that keyword, search questions clustered around it, AEO, GEO, and SEO visibility scores per AI model, tech audit findings, and the blog mesh of existing content. The most used surface in the product.
Key highlights
Five capability points teams should know about quickly.
- Four tabs: Primary, Related, LSI, Long tail
- Per keyword frequency, depth, and trajectory signals
- Importance weights drive blog priority downstream
- Scan room per keyword with everything attached
- The most opened surface in the product
Top FAQs
Five common questions answered for fast practical clarity.
Where do the initial keywords come from?
An agent reads the Brand sitemap Core pages, extracts terms the brand already ranks for or talks about, and seeds the four tabs with an initial twenty to forty Primary terms plus Related, LSI, and Long tail expansions. Users review the seed list, deactivate terms that miss, and add their own custom keywords inline.
What is the scan room per keyword?
Click any keyword tile to enter a focused workspace centred on that one term. The scan room shows competitors ranked for that keyword, related search questions clustered around it, visibility scores across AEO, GEO, SEO, tech audit findings flagged for that term, and existing blog content mapping. The workhorse view of the entire product.
Can keywords carry weights?
Yes. Each keyword can be set to high, medium, or low importance. Weights propagate to the scoring system: visibility deltas on high importance keywords move the headline XEO score more than deltas on low importance ones. Setting weights honestly is the single best lever a marketer has over what the score reflects across reporting.
What languages are supported today?
English only at this stage. Brand keywords, search questions, and visibility scans all operate in English. Other languages are on the roadmap but not yet supported. Brands with multi region presence in non English markets typically run their English market through GetXEO today and wait for language support before extending coverage to other regional markets formally.
How does this connect to blog writing?
Every blog write starts from a keyword. Blog title drafting reads the keyword, the search questions clustered around it, the brand voice, and the competitor coverage gap. So the keywords set acts as the topic universe; the visibility scores tell which terms need help; the calendar then sequences blogs to fill those gaps systematically.