SUPPORT

Frequently Asked Questions

Everything you need to know about Tailored.cv and your report.

Section 01

About Tailored.cv

Tailored.cv is an AI-powered career application platform that transforms your existing CV and a target job description into a complete, job-matched application bundle. It's not a template tool or a generic AI writer — it analyses the specific role, identifies what the employer is looking for, and restructures your professional story to match.

Each report includes a fully rewritten CV, a tailored cover letter, a LinkedIn profile rewrite, four behavioural interview questions with STAR-format sample answers, a detailed performance dashboard, and a Quality & Assumptions section explaining every inference the system made.

Anyone applying for a professional role where the quality of the application matters. That includes:

  • Mid-career professionals targeting a specific role or promotion
  • Senior candidates whose CVs haven't been updated in years
  • Career changers who need to reframe transferable experience
  • Recent graduates entering competitive markets
  • Professionals applying to international markets with different CV conventions

If you're applying to one role and you want the best possible chance of getting through, Tailored.cv is built for that moment.

Every report contains seven sections:

  • Performance Dashboard — six scored dimensions with a visual breakdown and improvement priorities
  • Tailored CV — fully rewritten, ATS-optimised, and matched to the job description
  • Cover Letter — role-specific, structured to open with your strongest hook
  • LinkedIn Rewrite — headline, About section, experience highlights, and call-to-action
  • Keyword Analysis — which terms appear in the JD, which are in your CV, and what's missing
  • Interview Preparation — four behavioural questions with STAR-format sample answers
  • Quality & Assumptions — confidence scores, density flags, and a pre-submission checklist

Most CV tools give you a template, a text editor, or a generic AI rewrite. Tailored.cv does something different: it analyses the job description, scores your existing CV against it across six dimensions, and rebuilds your application around the specific requirements of that role.

The output isn't a prettified version of what you submitted. It's a strategically restructured document that prioritises the right experience, uses the right language, and passes ATS filters — with a full explanation of every decision it made. The nearest competitors charge twice the price for less output.

Section 02

How it works

Three things:

  • Your existing CV or career history — pasted as text into the input form. The more detail you provide, the stronger the output.
  • The job description — the full text of the role you're applying for. This is optional but strongly recommended; without it, the system produces a general-purpose optimisation rather than a role-specific one.
  • A few settings — your target region (UK, US, EU, APAC), seniority level, writing style preference, and whether to include a cover letter and LinkedIn rewrite.

No account needed. No prior documents to upload. Just paste and go.

The input form takes most people 5–10 minutes to complete — the main time investment is pasting your CV and the job description. Once submitted, the AI processing typically completes within 3–6 minutes, depending on the volume of input.

Your report is displayed on screen as soon as processing completes. You can read, copy, and print it directly from the page.

After payment is confirmed, your inputs are processed securely through our industry-standard, GDPR-compliant architecture. The AI analyses your CV against the job description, builds each section of your report, and assembles the complete output.

Your report is displayed on screen once processing completes. Your data is not retained after generation — save or print your report before closing the page.

No account, no login, no password. No personal details are required beyond your payment information. There's no profile to create and nothing to cancel.

Section 03

Understanding your scores

Your report scores your original CV across six dimensions, then shows the same scores for the optimised version:

  • Overall Match — a composite view of how competitive your application is for this specific role
  • JD Fit — how closely your experience, language, and structure align with what the job description requires
  • ATS Readiness — whether your CV will parse correctly through Applicant Tracking Systems, including keyword coverage, formatting, and structure
  • Clarity & Structure — how clearly your career narrative reads, and how logically the document is organised for both ATS and human reviewers
  • Authenticity Risk — an assessment of how much the document relies on generic AI-style phrasing versus specific, evidence-backed language; lower risk means the CV reads as distinctively yours
  • Confidence Level — the system's own confidence in the accuracy of its outputs, based on the richness of the input data provided

Each score runs from 0–100. The report shows your pre-optimisation score, your post-optimisation score, and the specific actions that drove the improvement.

Score range Rating What it means
85–100 Excellent Highly competitive — strong alignment, well-evidenced, ATS-safe
70–84 Strong Above average — minor gaps that targeted edits can close
55–69 Moderate Competitive but with notable weaknesses; optimisation provides meaningful uplift
40–54 Needs work Significant gaps in evidence, keywords, or alignment — likely filtered before human review
0–39 Critical Fundamental misalignment — the CV as submitted is unlikely to progress past ATS

Note: Authenticity Risk and Confidence Level use an inverse scale — a higher Authenticity Risk score means more generic phrasing detected, while a higher Confidence Level means the system had richer data to work from.

Original scores are often lower than candidates expect — not because their experience is weak, but because the scoring reflects how an ATS or recruiter reads the document, not how the candidate intends it.

The most common reasons for a lower-than-expected score:

  • Missing keywords — your experience is relevant but uses different language than the job description
  • Weak evidence framing — strong achievements described in responsibility language rather than outcome language
  • ATS formatting issues — tables, columns, headers, or graphics that cause parsing failures
  • Generic structure — a one-size-fits-all document that hasn't been adjusted for this specific role type
  • High Authenticity Risk — phrasing that reads as AI-generated or generic, rather than specific to your actual experience

The gap between your original and optimised scores is the opportunity the report is designed to close.

Yes. The pre-submission checklist in the Quality & Assumptions section flags specific actions you can take manually — adding a metric you left out of the form, clarifying an ambiguous role title, or incorporating context the system couldn't infer.

If you want a re-run with improved inputs (for the same role or a different one), each generation is a separate purchase.

Section 04

Settings explained

The writing style setting controls how the AI balances ATS optimisation against human readability:

  • ATS-Optimised — prioritises keyword density, clean structure, and parsing reliability. Best for roles where ATS filtering is the first barrier.
  • Balanced — a middle ground that maintains keyword alignment while preserving natural, engaging language. Suitable for most roles.
  • Human-Expressive — prioritises compelling narrative and distinctive voice. Best for creative, leadership, or senior roles where human readers matter most.

If you're unsure, Balanced is the recommended default for most professional applications.

Select the region where the employer is based, not where you are located. The region setting adjusts CV conventions including:

  • UK — two pages standard, skills section below summary, references available on request
  • US — one page strongly preferred for under 10 years' experience, no personal details (no DOB, nationality, photo)
  • EU — Europass-adjacent conventions; personal profile section expected; some markets include photo
  • APAC — variable by market; system adjusts for the dominant conventions in the target country where possible

If you're targeting multiple markets, generate a separate report for each — regional conventions differ enough to warrant distinct versions.

Including a job description is optional but strongly recommended. Without one, the system optimises your CV for your stated target role type and seniority — which produces a strong general-purpose result but cannot align to role-specific keywords, competency frameworks, or employer language.

If you don't have the exact JD, a similar role from the same sector is better than nothing. The system uses whatever language it's given to calibrate keyword prioritisation and framing.

Seniority level calibrates how the system weights and structures different parts of your experience. At graduate and junior level, education and early achievements receive more prominence. At mid-career level, the balance shifts toward role-specific impact. At senior and executive level, the system prioritises leadership scope, strategic contribution, and cross-functional influence over task-level detail.

Set this to the level of the role you're targeting, not your current level — it affects how the AI frames your experience to match what that level of employer expects to see.

Section 05

Quality & transparency

Every Tailored.cv report ends with a Quality & Assumptions section — a transparency layer that explains what the system did, what it assumed, and where it was less certain.

This section contains:

  • Confidence scores — a per-section rating of how strongly the AI's inferences were supported by the input data
  • Density flags — warnings where the input was thin and the system had to infer or extrapolate more than it would prefer
  • Key inferences — explicit notes on assumptions made (e.g. "inferred leadership of a team from context; please verify team size")
  • Pre-submission checklist — specific actions the candidate should take before sending: facts to verify, metrics to add, sections to personalise

No. The system works exclusively with what you provide. It reframes, restructures, and re-evidences your existing experience — it does not fabricate roles, skills, qualifications, or achievements you haven't described.

Where the system makes an inference (e.g. estimating team size from context), it flags this in the Quality & Assumptions section and prompts you to verify. Any assumption that can't be directly supported is marked as such.

After the initial optimisation, the system runs an authenticity review that scans the output for generic AI phrasing — phrases like "demonstrated a proven track record of," "passionate about delivering results," or "leveraged synergies." These are rewritten into specific, concrete language using evidence from your input.

The goal is a document that reads as though you wrote it on a very good day — precise, confident, and specific to your actual experience — rather than as though a language model produced it. Your Authenticity Risk score reflects how well this pass succeeded.

Section 06

ATS & formatting

Yes — ATS compatibility is a core output requirement. The optimised CV uses clean, single-column structure with standard section headings (Work Experience, Education, Skills), avoids tables, columns, text boxes, and graphics that cause parsing failures, and aligns keywords with the language used in the job description.

Your ATS Readiness score reflects this directly. The system also includes a keyword gap analysis showing which terms from the JD appear in your CV and which are missing — so you can see the coverage explicitly.

Your CV is delivered as formatted text within your report, ready to copy into a Word document, Google Doc, or any text editor. It is structured for clean paste-in without additional reformatting.

A PDF download is not currently available — this is intentional. CVs submitted as editable documents (Word/Google Docs) parse more reliably through ATS than PDFs, and you'll want to review and personalise before sending in any case.

No — because the system works from pasted text, not from a file. Whatever format your original CV uses, you paste the text content into the input form and the system processes that. The output is always clean, ATS-safe structure regardless of what your original looked like.

When pasting from a designed template, check that all your content came through correctly — some template formats can drop section headings or role titles when copied. A quick review of the pasted text before submitting is recommended.

Section 07

Privacy & data

No. Tailored.cv is built on a strict no-storage architecture. Your CV text, job description, personal details, and all other inputs are processed once to generate your report and then deleted. There is no CV database, no user profile, and no retention of your professional history.

This isn't just a privacy policy statement — it's how the system is built. There is nothing to breach because nothing is kept.

No. Our AI processing operates under commercial terms that explicitly prohibit using customer data to train or improve the underlying models. Your CV is not used to improve the AI.

Your inputs are processed through industry-standard, enterprise-grade infrastructure operating under formal data processing agreements. Every component is GDPR-compliant. No part of our architecture retains your data after your report has been generated.

No human at GIS Innovation Ltd reads your CV as part of normal operations. Support queries may require reviewing submission data, but this is done only with your consent and only when you've raised a specific issue.

Section 08

Pricing & payments

£12.99 + VAT per report. One payment, no subscription, no recurring charges. The full application bundle — CV, cover letter, LinkedIn rewrite, keyword analysis, interview prep, and performance dashboard — is included at that price with no add-ons.

If you want to generate a report for a different role, or re-run with improved inputs, each generation is a separate £12.99 + VAT purchase.

Payment is processed by Lemon Squeezy, who acts as the Merchant of Record for all transactions. Accepted methods include all major credit and debit cards (Visa, Mastercard, American Express), Apple Pay, and Google Pay where available.

Job searching is episodic, not ongoing. You need a strong application when you're applying — not a monthly bill for something you use occasionally. Pay-per-generation means you only pay when you need it, and there's nothing to cancel when you land the role.

We offer a no-questions refund within 72 hours of purchase — up to three times per account. Contact support with your order reference and your refund will be processed. No explanation required.

Full refund terms are in the Terms & Conditions.

Section 09

Getting the best results

More detail produces better output. The system can only work with what you give it — it can restructure and reframe your experience, but it cannot manufacture evidence that isn't there.

The most impactful additions to your input:

  • Specific numbers — team sizes, budget figures, percentage improvements, revenue figures, volumes handled
  • Context for each role — company size, sector, and the scope of your remit
  • Named achievements — projects, initiatives, or outcomes you're proud of, even if you're unsure how to frame them
  • The full job description — not just the title or a summary

Thin input produces generic output — and a higher Authenticity Risk score. Rich input produces a document that genuinely differentiates you.

This is very common — especially in roles where impact is harder to quantify (HR, operations, policy, education, creative). The system is designed to work with scope and qualitative outcomes as well as numbers.

Proxies that work well in place of hard metrics:

  • Team or project size ("team of 12," "cross-functional group of 35")
  • Budget range ("managed a departmental budget of approx. £2m")
  • Time saved or process improvement ("reduced process from 3 weeks to 4 days")
  • Volume and frequency ("reviewed 400+ applications quarterly," "supported 150 clients simultaneously")
  • Scale of change ("first implementation of X across the organisation")

Include your last 10–15 years of relevant experience in full. For roles before that, a brief listing (title, employer, dates only) is typically sufficient unless an early role is directly relevant to the target position.

For career changers, earlier roles in the target sector are worth including in more detail even if they're older — relevance matters more than recency in this case.

Section 10

Using the output responsibly

Yes — always. The pre-submission checklist in the Quality & Assumptions section lists specific items to review. Beyond that, read through the full document and personalise anything that reads slightly off for your voice or contains inferences that need correction.

The output is a strong starting point, not a final product. The best results come from candidates who treat the report as a professional draft and do a final pass to make it their own.

Using AI as a writing tool for your CV is widely practised and generally accepted. The content of the CV — your experience, achievements, and qualifications — is entirely yours. The AI assists with framing, language, and structure, in the same way a professional CV writer or career coach would.

What matters is that every claim in the document is accurate and attributable to your actual experience. Tailored.cv is designed around that principle: it enhances and restructures your real experience; it does not fabricate it.

Correct it directly in the document before submitting. The Quality & Assumptions section flags where the system was less certain, but you should read the full CV critically regardless.

If an assumption is significantly wrong and has materially affected a large part of the output, you may want to re-generate with clearer input for that section. Contact support if you believe a system error caused a fundamental problem with your report.

Section 11

Troubleshooting

If your report didn't display after payment completed, try refreshing the page. If the problem persists, contact support with your order reference number (from your payment confirmation) and a brief description of what happened. We'll locate your report and redisplay it, or issue a refund if the processing failed.

If you opted out of the cover letter or LinkedIn rewrite in your settings, those sections will not appear — this is expected. If a section you expected to see is genuinely missing, contact support with your order reference. We'll investigate and either re-generate or issue a refund.

Input data is processed immediately after payment — it cannot be retrieved or edited after submission. If the error significantly affected the output, you have two options:

  • Request a refund within 72 hours and re-submit with correct inputs
  • Use the output as a starting point and correct the error manually in your final document

For minor mistakes (a typo in a job title, a missing date), manual correction in the final document is usually faster than re-generating.

Try a hard refresh (Ctrl+Shift+R on Windows, Cmd+Shift+R on Mac). If the issue persists, try opening the report link in a different browser or in a private/incognito window. If you're still seeing formatting problems, contact support with a screenshot and your order reference.

Section 12

Contact & support

We'd love to hear from you! For support with your CV report or any technical issues, email support@brilaiante.tech. For partnership or business inquiries, reach out to marketing@brilaiante.tech. We aim to respond within 24 hours.

There is no live chat. This is a deliberate choice — we'd rather give you a considered, complete response than a fast, partial one.

Request a refund within 72 hours. No explanation required. We'd also welcome feedback on what fell short — this is how the platform improves.

If you believe a specific section contains a factual error caused by a system issue (as opposed to thin input), contact support and we'll review it.

Not currently as a self-serve product. If you're interested in bulk purchasing for a team, outplacement programme, or career services provider, contact us at marketing@brilaiante.tech to discuss options.

Your experience is already compelling. Let's make sure it reads that way.

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