Match scores and results

What a score means, and what it does not.

Each analyzed job shows a score from 0 to 100 that estimates how well your resume fits the listing. The dashboard counts jobs scoring 75 or higher as High Match, and the high-match filter links to exactly that threshold.

What contributes to a score

When Analyze runs, Applivo extracts structure from the listing (required and preferred skills, tech stack, responsibilities, experience and education requirements) and compares it with your resume and profile. The stored analysis separates several signals, including a skill match, an experience match, and a semantic similarity between the listing text and your resume. The headline match score is a summary of those signals.

How to use it

• Use scores to decide what to review first, not what to apply to blindly.
• A job with no score has not been analyzed yet. Run Analyze on the Dashboard.
• A score near 75 sits right on the high-match line; treat it as a candidate to skim, not a guarantee.
• If scores look uniformly low, check that your resume and profile are up to date and that your desired roles match the listings you are seeing.

Improving your scores

• Keep your resume current and specific about the skills and tools you actually use.
• Fill in your desired roles, experience level and education in your profile.
• Re-run Analyze after you change your resume or profile so existing jobs are rescored.

Cost of scoring

Analyze draws on your AI token budget. There is a per-run token limit and a monthly token limit for your plan, so scoring a very large batch at once can stop early. See Quota and usage.

Why two different jobs can score almost the same

Scores are driven by overlap, not by prestige. Two postings that ask for the same skills you have will land close together even if the companies differ. Read the matching and missing skills for a job to understand the score rather than relying on the number alone.