AI Guides › Playbooks
By Nigel Guy · 6 min read
Most people treat every jobs site as a search box: type a title, scroll, apply, repeat. A matching platform reverses that, because the system compares a structured profile against structured job requirements, and you are judged on what that profile says before any human reads a word. Keep using the search-box habit there and you will fill in a thin profile, get thin matches, and conclude the platform does not work.
The rule: on a matching platform your profile is the search query, so write it to be matched, not to be admired.
Xeruit (xeruit.com) is a real, live site. It describes itself as an "AI Workforce Intelligence Platform" and, in its public descriptions, offers AI job matching based on skills and experience, interview preparation and assessments for job seekers, and AI-assisted candidate assessment for employers. Third-party listings say it was founded in 2023 and serves both individuals and companies.
The public page loads job listings that carry structured fields: required technical skills, preferred skills, soft skills, experience band, work type (for example remote), right-to-work eligibility, visa and relocation flags, salary range, and a "match score threshold". That tells you what the matching has to work with. It does not tell you how the score is calculated.
We could not verify, at time of writing: the exact sign-up steps, pricing, whether matches are pushed to you or you browse them, the scoring method, or the platform's data-retention terms. The site is a script-driven app with no readable help centre we could cite. So this guide does not claim a fixed number of steps for Xeruit. It gives you a method that works on any skills-matching platform, and tells you what to check on the live product. If you see a price on the site, check the £ figure at checkout.
A Match Card is one page, written before you touch the platform, that holds the fields a matcher can actually compare. You fill it in once, then copy from it.
| Field | What to write | Why it matters |
|---|---|---|
| Target role titles | Two or three titles you would genuinely accept | Matchers group by role; one vague title scatters you |
| Core skills | 8 to 12 skills, named as employers name them | Required skills are the hardest filter |
| Proof line per skill | One result, tool or scale per skill | Gives interview prep and assessments something real to use |
| Experience band | Years in the target role, honestly | Listings carry an experience band; overclaiming gets screened out later |
| Work type | Remote, hybrid or on-site, plus UK locations | Listings carry work type and location |
| Right to work | Your status in plain words | Listings carry eligibility, and sponsorship flags |
| Pay floor | The lowest salary you would accept, per year | Listings carry salary ranges; stops wasted interviews |
| Deal-breakers | Three things that rule a job out | Lets you ignore matches quickly |
Priya, a made-up data analyst in Leeds, has five years of experience and wants remote work. Her first profile says "analytical, results-driven, passionate about data". Her matches are a mix of junior and senior roles.
She builds a Match Card from five listings. Three name SQL and a dashboard tool; two name stakeholder reporting. Her core skills become those words. She adds a proof line for each ("replaced a weekly manual report with a scheduled query"), sets her work type to remote, sets her pay floor, and lists "no contract roles" as a deal-breaker. A week later she reviews the matches, finds most are in her band, and spots one recurring requirement she lacks, which becomes her next course. The numbers here are invented to show the process, not results you should expect.
Paste this into an AI assistant with your CV and five job listings.
You are a careful career coach helping a job seeker prepare a profile for a skills-matching platform.
Goal: produce a one-page "Match Card" that uses the same skill wording employers use, and that I can copy straight into a profile.
My inputs:
- My CV: [PASTE_CV]
- Five job listings I would want: [PASTE_LISTINGS]
- Target role titles: [TARGET_TITLES]
- Work type and UK locations: [WORK_TYPE_AND_LOCATIONS]
- Right to work: [RIGHT_TO_WORK]
- Lowest acceptable annual salary: [PAY_FLOOR]
- My deal-breakers: [DEAL_BREAKERS]
Steps:
1. List the skills that appear in at least three listings, using the listings' exact wording.
2. For each, say whether my CV supports it. Quote the CV line that proves it. If none exists, mark it "no evidence".
3. Build a table with these rows: target titles, core skills (8 to 12), one proof line per skill, experience band, work type, right to work, pay floor, deal-breakers.
4. List the skills that appear in listings but not in my CV as a separate "gaps" list.
Rules:
- Use only what is in my CV. Never invent employers, dates, numbers or qualifications.
- If an input is missing or unclear, ask me before you answer.
- Keep proof lines under 20 words.
Before you answer, check that every proof line is traceable to my CV and that no skill is listed without evidence.
Fill in the square-bracket items with your own CV, listings and preferences.