A cover letter exists to do the one thing a resume cannot: say, specifically, why you want this role at this company. An AI-written letter fails at exactly that. Swap the company name and it could go to anyone, which tells the reader you did not really invest, and that is usually where they stop reading. Paste your letter, see an Authenticity Score on a 0 to 100 scale, and read which sentences sound interchangeable rather than written for this job. The number is the headline; the sentence-level colour map is what you act on. The fix is never to make the letter sound more impressive in general. It is to make it unmistakably about this role: a real reference to the company, a concrete story, a genuine reason only you could give. Then it reads like a person who actually wants the job.
This is the routine job seekers follow before sending a serious application. The aim of each pass is the same: find the lines that could have gone to any employer and replace them with lines that could only have gone to this one.
Open the TextSight detector and paste your full cover letter. The free tier covers 1,500 words per month, which is enough for three to five typical cover letters or several revisions of one. Replace any bracketed placeholders such as [Company Name] or [Hiring Manager] with the real values first, since a leftover placeholder is the most obvious sign of a reused template. The scan returns within a few seconds.
The Authenticity Score runs from 0 to 100 where 100 reads fully human to the classifier and 0 reads fully AI. Useful as a summary; not enough on its own. Underneath, the colour map highlights every sentence that tripped one or more signals. Green sentences passed every check. Yellow sentences tripped one or two. Red sentences tripped three or more. Most cover letters have three to seven sentences carrying most of the AI signal, and those are what you act on.
Open your letter alongside the highlights and rewrite the flagged sentences before reaching for any tool. The opener carries the most weight because a recruiter reads it first and decides in three seconds whether your letter sounds like a person or a template. Replace the formula opener with a specific reference: the company, recent news, a podcast episode, a product you actually use, a mutual connection. Cut every "I am excited", "I am thrilled", "I am particularly drawn to". Replace the comma-separated skills triple with one concrete accomplishment carrying a number.
Paste the revised letter back into the detector and re-scan. Aim for 80 or higher on cover letters; the band is tighter than essays because short content amplifies pattern signal. If a single sentence still flags red, go back to step 3 for that one sentence; do not run a Maximum-mode rewrite pass over the whole letter because that flattens the personal motivation the cover letter exists to carry. Then submit through your normal channel. TextSight does not interact with any specific ATS provider and we make no promises about specific outcomes; we report our own score honestly so you can decide if the letter is ready.
A number on its own does not tell you whether the letter is ready. These five bands describe how interchangeable the letter reads to the classifier and what the right next move is at each one.
The letter reads like it was written for this role and this company, not lifted from a template. A hiring manager scanning the opener gets a specific reason you applied rather than a stock phrase. This is the band worth holding out for on roles you genuinely want, where a letter that could have gone to anyone gets treated as if it did. Send it and move on.
Most of the letter reads specific. For routine applications this band is fine. If you have time, scan the remaining yellow sentences and run one editing pass on the opener and the sign-off, since those are the lines a hiring manager reads first and last and the two with the highest payoff for moving into the mid-80s.
Enough of the letter reads interchangeable that it risks landing as a form letter. Edit the red sentences with the four cover-letter fixes (a specific opener, cut the enthusiasm phrases, one concrete accomplishment, a real next step) before sending to a role you actually want. Two or three targeted rewrites usually lift a 60 into the high 70s, and the letter starts to sound like a person rather than a prompt.
Most of the letter could be sent to any employer with the name swapped, and a hiring manager will feel it. The fix is structural rather than cosmetic. Drop the formula opener, replace generic enthusiasm with specific reasoning, and add real references to the company and the work before resending. A single rewrite pass will not move a score in this band into safe territory.
Almost certainly raw or lightly-edited model output that says nothing specific about you or the role. The fix is a complete rewrite built from your own answer to one question: why do you actually want this job. Use the AI rewriter only on the hardest individual sentences after you have rebuilt the letter from that answer.
Cover letters use the same five base signals as the essay scorer, but with weighting calibrated for short-form professional content. Template opener detection and generic enthusiasm density carry the heaviest weight because they are the strongest cover-letter-specific tells.
"I am writing to express my strong interest in the [Role] position at [Company]" and its many close variants. This opener is one of the most common patterns in AI-written cover letters and the heaviest-weighted signal in the cover-letter scorer, because it is the single line most likely to read interchangeable. The fix is a specific reference in the opener: the company's recent product launch, a piece of work the team published, a person you spoke with, or a problem the company is visibly working on.
"Excited", "thrilled", "passionate", "eager", "particularly drawn to". AI tools tend to stack several of these into one short letter. Real people use one at most, often none. The scorer weights a cluster of enthusiasm phrases heavily, because saying you are excited is not the same as showing why. Replace each instance with specific reasoning grounded in what the role actually involves.
"With my experience in X, Y, and Z, combined with my passion for W, I am confident I would be a strong fit." This comma-separated triple is a strong cover-letter-specific signal and one of the patterns ATS classifiers learned to flag earliest. The fix is replacing the list with one concrete story carrying a number: a specific accomplishment, a measurable result, a problem you actually solved.
Intro paragraph that expresses interest, qualifications paragraph that lists skills, closing paragraph that requests an interview. ChatGPT's default and detectors learn the pattern. The scorer detects the structure and weights it as a tell. Real 2026 cover letters mix the structure: two paragraphs, four short ones, or no paragraph breaks at all for a punchier read.
"Looking forward to your response", "Thank you for considering my application", "I look forward to discussing how my background aligns with your goals". ChatGPT cycles between six variants on this closing and recruiters know all of them. Replace with a specific next step: a portfolio link, a piece of work you can talk through, a concrete offer to send the post-mortem doc first if that is easier.
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A resume lists what you did. A cover letter is the one place to say why you want this specific role and why you fit it, in your own words. That is the only reason it gets read at all. A generic AI letter does not just fail to help; it actively works against you.
The fastest test a hiring manager runs, often without thinking, is whether the letter could be sent to a competitor with two words changed. If it could, it carries no information beyond the resume and signals that you applied in bulk. AI tools produce exactly this kind of letter by default, because they have no access to the real reason you want the role. The score surfaces the sentences that read swappable so you can replace them with something rooted in this company and this work.
Hiring managers read a lot of cover letters and decide quickly whether to keep going. A formula opener tells them inside the first line that the rest will be generic too, and many stop there. A specific opener (a real reference to the company, a recent piece of its work, a genuine reason you applied) buys you the rest of the read. The scorer weights the opener heavily for that reason, and it is almost always the highest-leverage edit on the page.
A cover letter is only a few hundred words, so there is nowhere for a template sentence to hide. One stock opener or one cluster of enthusiasm phrases dominates a short letter in a way the same phrasing never would inside a long essay. That is why cover letters need a tighter target than essays do, and why a couple of specific replacements can change the whole impression.
On a busy day a cover letter gets skimmed, not read in full, and three spots carry most of the weight. Each is a place where a generic line quietly costs you and a specific one earns the rest of the read. The score points you at all three.
The assessment gets made on the first sentence. By the second, the frame is set and the rest of the letter reads through it. A specific opener that names the company's product, the team's recent work, or a real reason for applying is the single highest-leverage edit on the page, and the scorer weights the template opener accordingly.
After the opener, the next line decides whether the letter is really about this role. A cluster of enthusiasm phrases reads as filler; one concrete accomplishment or one specific thing about the company reads as a real candidate. Cut the stacked "excited" and "passionate" lines and lead with something only you would write.
"Looking forward to discussing how my background aligns with your goals" is the stock close everyone in hiring recognises. Replace it with a concrete offer or a specific next step. A letter that jumps into the 80s after editing usually does so because the opener and the close were the two lines reading most like a template.
An honest pre-flight check is closer to a careful proofread than to anything else. We want to be explicit about which side of the hiring-trust line this scorer sits on so you can decide whether it fits your situation.
Cover letters you wrote yourself, including ones where you used ChatGPT for outline or polish on a draft you wrote. The thinking is yours, the motivation is real, the accomplishments are real. The scorer catches sentences where assistant register leaked into the prose so the submitted letter reads in your own voice. We score honestly so you can decide what the letter needs.
It is not a tool for fabricating qualifications or pretending you wrote something you did not. The AI rewriter cannot put authentic motivation into a draft that was not yours. If your letter sounds AI because the underlying interest in the role is borrowed wholesale from a template, the scorer will tell you that and no rewrite pass will magically fix it. The most useful thing TextSight can do for that case is point you back to writing about a role you actually want.
The output of a good revision pass should pass a simple test: if the recruiter asked you in an interview to talk for two minutes about the specific reference or story in your cover letter, you should be able to do it confidently. If you cannot, the revision added voice but not substance, and the letter will fail anyway when you reach the interview stage. The score is a draft check, not a substance check.
The full four-fix rewrite workflow for ChatGPT cover letters, with mode selection guidance and before/after.
Open the guide →The sister scorer for academic essays, with five-format calibration and ESL-aware bands.
Open the scorer →For the follow-up email after submitting the application, and for outreach to recruiters or hiring managers.
Open the guide →How the 0 to 100 score is computed and what threshold to aim for across formats and genres.
Read the guide →Authenticity Score, sentence-level highlights, ATS-aware calibration. Free for three to five typical cover letters per month.
Run the Authenticity Score on the exact thing you're about to send.