Why two-word phrases matter
Most keyword tools split text into single words and tick a term off the moment it appears anywhere. By that logic, a resume saying "I managed a small team" and, four lines later, "management reporting" has satisfied a requirement for project management. It has not, and any recruiter reading the page can see that in a second.
This scanner counts adjacent word pairs as terms in their own right. Project management, stakeholder management, data analysis, machine learning and financial modelling are each tracked as one unit, so a match means those two words genuinely sat next to each other, in that order, somewhere in your resume.
The practical effect shows up in your gap list. A single-word matcher will report two or three missing terms on a posting where the real gap is eight phrases, because the individual words are already scattered through your resume in unrelated contexts. Chasing phantom gaps wastes an evening; closing the real ones changes whether a recruiter's search returns you.
How the ranking is decided
Both texts are lowercased and stripped of stop-words: the, and, with, for, our, you. A posting repeats those more than anything else and they carry no signal at all. What remains is counted twice over, once as individual words and once as pairs of neighbouring words that survived the strip.
Terms are then ordered by raw count, so a posting naming Kubernetes six times and Terraform once tells you where the weight sits. When a word and a phrase tie, say analysis at four and data analysis also at four, the phrase is listed first, because it is the more specific requirement and the harder one to claim without the experience.
Treat roughly the top ten as the ones worth rewriting a bullet for. A term counted once is often incidental, a tool named in passing or a word from the paragraph about company culture. Nothing here is reading intent, it is counting, so your own judgement about which terms are really the job still does the last step.
Using the results without stuffing your resume
Large Indian employers and the consultancies that staff for them run applications into a tracking system, and recruiters then query that database by keyword. If a posting says supply chain and your resume only ever says logistics, the search a recruiter runs on Monday morning does not return you, however well the role suits you.
The wrong answer is a keyword block at the foot of page two. Parsers do read it, humans do notice it, and a phrase with no work history attached invites an interview question you cannot answer. Put each missing phrase inside a bullet describing something you actually did, with a number attached wherever you have one.
Rescan for each application rather than once a quarter. Two postings with the same title rank different phrases first: one Business Analyst role is built around requirement gathering and stakeholder management, another around SQL and dashboards. The scan takes under a minute and usually tells you which three bullets to reorder before you send the file.