Recruiters read dozens of CVs a day. By now they don't just notice AI-written text - they feel it within the first three lines. There's a set of words and phrases ChatGPT inserts almost every time, and in 2026 they've become as reliable a signal as Comic Sans on a design portfolio. Here's the exact list, and what to do about it.
Why "ChatGPT words" are even a thing
ChatGPT was trained on billions of texts where "good" corporate English looked exactly like this: active verbs, business vocabulary, sounds serious. The model learned that words like "spearheaded" or "leveraged" are associated with a "strong resume" - and now inserts them by default, even if you wrote "make it sound natural" in the prompt.
The problem isn't that you used AI. The problem is that everyone used the same AI and got the same output. A recruiter sees this combo three times before lunch and automatically moves the CV to the bottom pile. Not because of a rule - just reflex.
7 phrases that expose ChatGPT immediately
1. Leverage / Leveraged
This word ChatGPT inserts like a mantra. "Leveraged Python to automate reporting", "Leveraged cross-functional collaboration". Real people don't write like this. It just means "used" - so just write that.
- Before: "Leveraged SQL to extract key business insights from raw datasets"
- After: "Wrote SQL queries to pull churn data; findings fed directly into Q3 pricing decision"
2. Spearheaded
Nobody in real conversation says "I spearheaded this project". Literally nobody. But ChatGPT treats it as a synonym for "led" or "launched". Recruiters have read it so many times it makes them wince.
- Before: "Spearheaded the migration of legacy infrastructure to AWS"
- After: "Led AWS migration for 3 legacy services; cut monthly infra costs by 18%"
3. Robust
"Robust solution", "robust pipeline", "robust testing framework". This word adds nothing. Robust - meaning it didn't crash? Then write that it didn't crash. Specifically.
- Before: "Built a robust CI/CD pipeline using GitHub Actions and Docker"
- After: "Set up CI/CD with GitHub Actions and Docker; deploy time dropped from 40 min to 8 min"
4. Seamlessly
"Seamlessly integrated", "seamlessly collaborated", "seamlessly transitioned". If something was done seamlessly it means it was just done normally, without disasters. That's not an achievement, that's the minimum bar. The word takes up space and says nothing about you.
- Before: "Seamlessly collaborated with cross-functional teams across 3 time zones"
- After: "Coordinated releases with BE, QA and Product across UA/PL/DE; zero missed sprint deadlines in 6 months"
5. Passionate about / Passionate team player
ChatGPT really loves passionate. Especially in summaries: "Passionate software engineer with 5+ years of experience". Look, everyone writes that they're passionate. If you're genuinely into something, show it with a concrete example. If you don't have an example, maybe skip the word.
- Before: "Passionate software engineer with a strong focus on delivering high-quality solutions"
- After: "Backend engineer, 5 years in fintech. Built payment reconciliation system that processes 2M txn/day. Side project: open-source Rust HTTP client, 800+ GitHub stars"
6. Drove significant improvements
The whole family cluster of these: "drove significant improvements", "delivered impactful results", "achieved meaningful outcomes". Classic AI text - sounds like something important was said, but nothing was actually said. Significant compared to what? Meaningful for whom?
- Before: "Drove significant improvements in application performance and user satisfaction"
- After: "Refactored main API endpoints; p99 latency fell from 1.4s to 320ms, NPS went from 31 to 47"
7. Proven track record
"Proven track record of delivering results". If you have a proven track record - it's in the bullet points below, where the numbers are. Why write a separate sentence about it? ChatGPT inserts this into summaries to fill space and sound confident. It has the opposite effect.
- Before: "Proven track record of delivering results in fast-paced, dynamic environments"
- After: delete this sentence entirely. Let the numbers in your bullets speak for themselves.
How to check your CV in 5 minutes
Open your CV and Ctrl+F each of these words. Honestly, just go through the list. If you find at least two - there's already something to fix. If you find five or more, there's probably a bigger issue: the whole text was written without any specifics at all.
- leverage / leveraged
- spearheaded
- robust
- seamlessly
- passionate
- significant / meaningful / impactful
- proven track record
- bonus: "dynamic environment", "detail-oriented", "go-getter"
If you want to check your whole CV for AI signals - not just at the word level but structure and every bullet - Trackr's AI CV Analyzer gives you a line-by-line breakdown with specific comments. Not "needs improvement" but "here's this bullet - why it's weak and what to put instead".
How to use AI for your CV without getting caught
Look, AI is useful. Just not for writing your bullets. That's exactly when it gives you "spearheaded" and "seamlessly". Use it differently instead.
- 1Write the bullet yourself first, in your own words, even if it's rough. Then ask AI to improve that specific point while keeping your fact and number.
- 2Give context in the prompt: "I wrote this, here's the real number, here's what I actually did. Rewrite without AI clichés, keeping my fact."
- 3After editing, check again: make sure no new "leverage" or "robust" snuck into the AI's response.
- 4Read it out loud. If you wouldn't say it in an interview, rewrite it.
Same principle applies to interview prep, by the way: AI as a coach, not as the one who speaks for you. Trackr's AI Coach is built exactly that way - it helps you shape your own answer, not hand you a template.
What to put instead: the principle, not just a list
Most AI clichés appear when a bullet has no specifics. No number, no context, no result - AI fills the space with pretty words. So the fix is simple: give a fact, and the right word will follow.
- Instead of "leveraged" - write what you actually did: wrote, set up, built, launched
- Instead of "robust" - write what it did: handled 10k req/min with zero downtime for 8 months
- Instead of "significant improvement" - write the number: 34% faster, 2 days shorter, from 12 to 3 errors
- Instead of "passionate" - either delete it or replace with an example: what you did outside work on this topic
- Instead of "spearheaded" - define your role more precisely: initiated, led, decided, coordinated
There's one quick test for bullet quality: replace your name with any other senior developer's name. If the sentence still fits - it's too generic. A good bullet is one only you could have written, because it has your project, your numbers, your context.
Quick recap: what to take away
ChatGPT inserts the same words because it was trained on one idea of what a "good resume" looks like. In 2026 these words don't add weight - they remove it. A recruiter sees a cliché and thinks: this person didn't review what the AI wrote.
- Ctrl+F your way through the seven words in the list above
- Replace each with a concrete verb plus a number or context
- Read it out loud - if it feels awkward to say, it's awkward to read
- Use AI for structure, checks and generating options - but not for the final text
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