Term
A phrase you can use to position your product — the kind of language you might use in a landing page headline, tagline, meta title, or product description. A term describes a category or market people actually search for, like “waterproof hiking shoes” or “invoice software for freelancers.” RankEarly groups close variations under the same term, so “best AI content writer” and “top AI content writer” both roll up to AI content writer. Not a term: “shoes” (too broad), “how to choose waterproof hiking shoes” (that’s a keyword cluster), “best waterproof hiking shoes for wide feet” (that’s a variation).Keyword
A word or phrase that people type into a search engine. “Email deliverability” is a keyword. So is “how to improve email open rates.” RankEarly tracks keywords so you can see what people are searching for and how hard it is to rank for each one.Keyword Cluster
A group of keywords that Google treats as the same query — meaning they return very similar search results. For example, “best project management tools,” “top project management software,” and “project management tools for teams” would likely belong to one cluster because Google shows nearly the same pages for all of them. RankEarly uses SERP-similarity clustering: it compares the actual search results for each keyword, and if two keywords share most of the same top-ranking pages, they go into the same cluster. This way you don’t waste time writing separate posts for queries that Google already answers with the same results. Clusters build up automatically as your keyword library grows.Theme
A high-level hub that organizes related keyword clusters into a coherent information architecture. Themes are the top-level output of Topic Clustering and sit above page-level topics in RankEarly’s content structure: Theme → Keyword Clusters → Keywords. For example, “Project Management” as a theme might include keyword clusters around task tracking, team collaboration, Gantt charts, and agile workflows. A theme is not just a bag of linguistically similar keywords — it groups keyword clusters by semantic relatedness. The theme name usually comes from a central keyword cluster that best represents the group.Topic (in RankEarly)
In RankEarly, a topic means a keyword cluster — a page-level opportunity. That is, one topic maps to one page, and the minimum unit for content planning is a keyword cluster. Topic Clustering groups these page-level topics into broader themes.Keyword Library
A collection of keywords and search results for a project. Most RankEarly workflows use it as input. See Keyword Libraries for details.Winnability
A label RankEarly assigns to tell you whether an opportunity is worth targeting. You will see three labels: Winnable (realistic opening), Challenging (mixed signals), and Skip (no good opening right now). See Winnability for how labels are applied in each workflow.Project
Where all your research lives. A project stores your business context — product description, target audience, competitors, business goals, and seed phrases. Inside a project you will find research history, saved items, and keyword libraries.Pillar-Cluster Model
A content strategy where one broad pillar page links to multiple focused cluster pages, and each cluster page links back to the pillar. The pillar covers the theme at a high level; the cluster pages go deep on each subtopic. Topic clustering in RankEarly produces the grouped structure (themes and keyword clusters). The pillar-cluster model is a downstream architecture you can build from that structure — using a theme as the hub and the keyword clusters underneath as the supporting pages. The recommended approach is to write cluster pages first — each targeting a specific keyword cluster — and then build the pillar page iteratively as your cluster content grows. This way the pillar has real depth to link to from day one. Also known as the hub-and-spoke model.Hub-and-Spoke Model
Another name for the pillar-cluster model. The “hub” is the pillar page (covering the broad theme), and the “spokes” are the cluster pages (each covering a subtopic in depth). Every spoke links back to the hub, and the hub links out to all spokes — creating a tightly interlinked content structure that signals topical authority to search engines.Pillar Page
A page that covers a broad theme at a high level and links out to more detailed cluster pages on subtopics. It acts as the hub in a pillar-cluster model. For example, a pillar page on “Project Management” would summarize task tracking, team collaboration, and agile workflows — then link to dedicated blog posts that go deep on each.Information Gain
The unique value your content adds beyond what already ranks on page one. If every top result explains what SPF records are but none explain how to debug a failing SPF check, that debugging angle is your information gain. RankEarly’s/content-researcher skill finds these gaps by reading the top-ranking pages and surfacing questions they don’t answer well.
SERP
Search Engine Results Page — the page Google shows after you search for something. When we say “analyze the SERP,” we mean looking at what’s currently ranking for a given keyword: which pages appear, what they cover, and where the gaps are.Topical Authority
The idea that search engines trust sites that cover a subject thoroughly. A site with 15 well-linked posts on project management signals more expertise than a site with one general post. Building topical authority is the main reason to create themes with related keyword clusters rather than standalone posts.Under-Discussed Questions
Questions that searchers likely have but that the top-ranking pages don’t answer well (or at all). These are surfaced by RankEarly’s/content-researcher skill and represent opportunities — topics where your content can provide something new that existing results don’t.