Keyword Research

Understanding Keyword Scores: Specificity, Intent, Relevance and Conversion

Every keyword in Linkeddit gets scored by AI on four dimensions. Understanding these scores helps you prioritize which keywords to target first and which to skip entirely.

Priority score

The priority score is a weighted composite of all four dimensions. It ranges from 0 to 10 and determines the default sort order of your results. The formula weights specificity highest at 40 percent, relevance at 30 percent, conversion potential at 20 percent, and a base score at 10 percent.

Keywords with priority scores above 7 are generally strong candidates. Scores below 5 usually indicate the keyword is too broad, irrelevant, or informational.

Specificity (1-10)

Specificity measures how targeted a keyword is. A score of 9 or 10 means the keyword describes an exact use case, tool type, or workflow. A score of 1 to 3 means it is broad and generic.

High specificity keywords are easier to rank for because fewer pages compete for them. They also tend to convert better because the searcher knows exactly what they want.

Search intent

Search intent classifies what the searcher wants to do. Transactional intent means they are ready to sign up or buy. Commercial intent means they are comparing options before purchasing. Informational intent means they are learning. Navigational intent means they are looking for a specific brand.

Linkeddit filters for commercial and transactional intent by default because those keywords drive revenue. You can toggle Filtered Only off to see informational keywords too.

Relevance to product (1-10)

Relevance measures how well a keyword maps to your product's features, audience, and value propositions. This score depends entirely on the product context you provide. A score of 9 or 10 means the keyword directly addresses a core feature or ideal customer pain point.

Conversion potential (1-10)

Conversion potential estimates whether a searcher landing on your site from this keyword would actually sign up. A score of 9 means this person has exactly the problem your product solves. A score of 3 means they might be interested but are unlikely to convert.

Keyword types

Each keyword is classified into a type: awareness, consideration, decision, feature-specific, competitor comparison, problem-based, or tool alternative. Decision and competitor comparison keywords tend to have the highest conversion rates. Awareness keywords are better for top-of-funnel content.

Suggested landing page

The AI recommends which page on your site best matches each keyword. Use this to identify content gaps. If multiple high-priority keywords point to a page that does not exist yet, that is a signal to create it.

FAQ

What is a good priority score?

Keywords with priority scores above 7 are strong candidates for content. Scores above 8 are excellent. Anything below 5 is usually too broad or irrelevant to pursue.

Why are informational keywords filtered out by default?

Informational keywords have lower conversion rates because the searcher is learning rather than buying. Linkeddit prioritizes commercial and transactional intent to focus your content efforts on revenue-driving keywords.

How does the AI determine relevance?

Relevance is scored based on the product context you provide. The AI compares each keyword against your described features, target users, and value propositions. More detailed product context produces more accurate relevance scores.

Can I change the scoring thresholds?

Yes. When creating a research job, expand the Advanced Settings section to adjust the minimum specificity and minimum relevance thresholds. Lowering them produces more results; raising them produces fewer but higher-quality results.

Related help pages