A modern job application is rarely one document. You have a resume, a cover letter, a LinkedIn About section, sometimes a portfolio blurb or application essay, and the follow-up email after the interview. Most candidates now draft at least one of those with ChatGPT, Claude, Gemini, Copilot, or a job-specific tool like Teal, Resume Worded, or Jobscan AI. Workday, Greenhouse, Lever, iCIMS, and Ashby all added AI-content signals to their parsers in 2025, and recruiters reading fifty applications a day spot the same patterns by eye. TextSight rewrites those patterns into your real voice across the whole packet, while preserving the company name, role title, dates, and quantified results that recruiters match against the job description.
Candidates think of "an AI cover letter" as one artifact. Recruiters see AI patterns across the whole packet. Treating each surface as a separate rewriting pass is what keeps the candidacy consistent and unflagged.
The three-to-five line summary at the top of a resume, plus every action-verb bullet under each role. ATS parsers at Workday, Greenhouse, Lever, iCIMS, and Ashby read this text the same way they read a cover letter. The "results-driven professional with X years of experience" summary template gets flagged immediately, and so does any bullet that opens with a clustered action verb stack like "spearheaded, orchestrated, and optimised." Light mode is the safe setting because keyword density and quantified results have to survive the rewrite.
Highest detection risk in the packet. The formula opener, generic enthusiasm clusters, the three-paragraph default structure, and the templated sign-off are the four patterns recruiters spot in three seconds. The same patterns get scored by AI-content signals inside the ATS. Balanced mode handles most ChatGPT-generated drafts. Light is right for letters you mostly wrote yourself and ran through an AI tool for polish.
Surfaced before the interview, often the first thing a recruiter reads during sourcing. Browser AI-detection extensions are common in recruiting, with adoption around thirty to forty percent among B2B decision-makers based on anecdotal reporting. Voice matters more than precision here, and Balanced mode is usually the right choice. Aim for three short paragraphs, drop every "passionate" and "results-driven," and reference one specific thing you shipped in the last year.
MBA programmes, fellowships, internal-mobility processes, and design or engineering portfolios still require five-hundred to one-thousand word essays. Admissions and HR teams run dedicated detectors, often Turnitin or a competitor tuned for longer prose. The "Tell us about a time you led" prompt produces the most predictable AI output of anything in this list, so Light mode with multiple passes and at least one sentence-length variation per paragraph is the workflow that holds up.
Thank-you notes and reply-management emails. Outreach.io reported in 2025 that AI-flagged sales emails were getting sixty to eighty percent lower reply rates, and the same browser extensions that flag sales outreach also flag candidate follow-ups. A flagged thank-you note rarely kills an offer, but it strips the warmth signal the email was supposed to carry. Light mode preserves the personal tone that makes a follow-up land.
Candidates draft with whatever tool sits closest. The AI rewriter rewrites the shared patterns rather than targeting one model, so the same pass works regardless of where the draft came from.
Each general model has a slightly different signature, but they share the same job-application tells. Triple-stacked enthusiasm phrases. The "I am writing to express" opener family. Comma-separated qualification triples in the second paragraph. The summary closer that restates the thesis. Detectors at Workday and Greenhouse score all of them similarly, which is why one AI rewriter pass is enough rather than five tool-specific passes.
Tools that wrap a model with resume-specific prompting produce output that is even more predictable than raw ChatGPT, because the prompts converge on a narrow template. Action-verb stacks at the start of every bullet. Identical "Quantified X by Y percent" closing patterns. A summary block that reads like every other summary block scored highly by the same tool. The AI rewriter rewrites the connective prose around the keywords, leaving the keyword optimisation intact while removing the cookie-cutter feel.
The detectors recruiters use are tuned to the shared patterns rather than the model fingerprints. That works to your advantage. You do not need a different AI rewriter for every AI tool you used during drafting. One TextSight pass at the right mode for the right surface removes the patterns ATS systems flag and recruiters spot, regardless of which AI tool produced the original draft.
All three modes available on every paid plan. Free covers one resume rewrite plus a few cover letters. Active job seekers usually run on Starter or Pro through the full search. Full details on the pricing page.
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Mode choice matters more in a job application than in any other content type, because the risk profile changes by surface. Light is the default for submitted resume text. Balanced is the default for the cover letter. Maximum is reserved for spoken rehearsal only.
Light keeps your sentence structure intact and rewrites only the obvious tells. Action-verb stacks at the start of bullets. The "results-driven" summary opener. Generic enthusiasm in a thank-you note. Right for any surface where keyword precision matters or where the warmth of the original text is the point. Score gains are smaller per pass but the output reads as the same candidate, not an edited version of someone else.
Balanced runs moderate rewrites across all three stages: opener, body phrasing, and sign-off. Right for cover letters and LinkedIn About sections where you started from an AI draft and the bones of the structure are AI-generated. It varies sentence length, replaces generic enthusiasm with specific reasoning, and breaks the three-paragraph default. Start here if you are not sure which mode to pick for the prose-heavy surfaces.
Maximum produces the largest Authenticity Score gain on a single pass, but it can shift claims or drop specific terms. Bad for any surface a recruiter actually reads. Useful for behavioural interview prep where you want to break a rehearsed STAR script and read the output out loud until it sounds like something you would actually say. The risk only flows one way: aggressive rewriting kills nuance in submitted text but helps you ditch a robotic delivery in a live interview.
An abstract pattern, not a specific candidate. The voice and structural shift you should expect on a Light pass over a Teal or Jobscan AI bullet.
"Spearheaded, orchestrated, and optimised cross-functional initiatives by leveraging data-driven methodologies and stakeholder collaboration to drive impactful results, ultimately delivering a 35% increase in operational efficiency and a 22% reduction in time-to-market across key product launches."
"Led the migration of three product launches from a four-week to a two-and-a-half-week release cadence. Owned the cross-team review process with finance, legal, and ops, and shipped the rewrite of the launch checklist that cut the back-and-forth. Result was a 35% efficiency lift and 22% shorter time-to-market on the next three launches."
Killed the action-verb stack of "spearheaded, orchestrated, and optimised." Replaced "data-driven methodologies and stakeholder collaboration" with the actual mechanism (the launch checklist rewrite, the cross-team review). Both quantified results (35% and 22%) stayed exact, because recruiters match those numbers against the job description. The bullet is now specific enough to survive a follow-up question in the interview.
The AI rewriter is for candidates whose substance is genuine but whose prose came out flat after an AI tool drafted or polished the text. It is not a tool for faking experience, inflating numbers, or pretending you wrote something you did not.
If the underlying experience, motivation, and accomplishments are yours, the AI rewriter helps you land that substance in your real voice rather than in the institutional AI register. This is closer to a professional editor running a pass over your draft than to deception. The hiring trust you build with the recruiter is real because the substance is real.
It cannot fabricate experience you do not have, invent quantified results that did not happen, or claim skills you cannot demonstrate in an interview. If your resume reads AI because the bullets are borrowed wholesale from a template that does not describe your work, the AI rewriter will produce a more natural-sounding template, not a real resume. The most useful thing TextSight can do for that case is the detector, which tells you which bullets read AI, which is usually a sign of which bullets you did not actually write yourself.
The output of a good rewriting pass should pass a simple test. If the recruiter asked you in an interview to talk for two minutes about the specific story, mechanism, or number in a rewritten bullet, you should be able to do it confidently. If you cannot, the AI rewriter added voice but not substance, and the application will fail anyway when you reach the interview.
Job applications are how candidates open conversations with potential employers, and tools that help candidates fake substance damage trust in the whole hiring channel. TextSight is built for the opposite case: genuine candidates whose AI-drafted text did not capture them well. The AI rewriter makes that authentic voice readable to both the ATS and the recruiter. What the hiring team sees is the real you, which is the version most likely to get the interview.
Deep-dive on the cover-letter surface: four tells, three modes, ATS-safe rewrite.
Open the guide →Resume-specific patterns: action-verb stacks, summary templates, keyword preservation.
Open the guide →How the score is computed and what threshold to aim for before submitting an application.
Read the guide →Full tier breakdown for Free, Starter, Pro, and Business. Yearly billing saves 25%.
See pricing →Free to try, no card. Three modes for the resume, cover letter, LinkedIn, and follow-up. Names and numbers preserved across every pass.