TL;DR: ChatGPT defaults to 283+ overused words and 335+ predictable phrases that make AI content sound robotic and trigger AI detectors. This list covers every category, from dramatic adjectives like “groundbreaking” to corporate jargon like “synergy,” with copy-paste prompts to block them permanently in ChatGPT’s custom instructions.

I ran a test last year that surprised me. I took a standard ChatGPT blog post, stripped every word from this list, rewrote the vague phrases with specific language, and ran it through GPTZero. The AI detection score dropped from 94% to 62%. Not perfect, but a significant shift from a single editing pass.
That result matters because the problem is not just AI detectors. These words make content harder to read. They inflate simple ideas into corporate announcements. They signal to every reader with a trained eye that a human did not write this.
I am Alston Antony. I have reviewed 500+ SEO and SaaS tools, tested AI content workflows on 100+ websites, and watched AI detection algorithms evolve for years. This list is not theoretical. It is built from my own testing, community research across Reddit and multiple SEO forums, and ongoing analysis of what AI detectors flag most reliably.
The goal is not to hide AI use. It is to produce content that reads naturally because the words actually carry meaning, not because they fill space.
Use this list in your ChatGPT prompts or custom instructions. The result is leaner, more specific, and more honest writing. And your ChatGPT prompts for keyword research will produce better raw material to start from.
Why ChatGPT Keeps Using the Same Words
ChatGPT was trained on a massive corpus of text, much of it from authoritative sources: academic papers, business publications, marketing copy, and corporate documentation. Those sources use certain words to signal expertise and authority. “Leverage,” “robust,” “transformative” appeared frequently in the training data alongside content that ranked well or was widely shared.
The model learned the pattern: authoritative content uses these words. So it defaults to them when it needs to sound credible.
The second problem is that ChatGPT lacks a self-editing layer. A human writer who uses “furthermore” three times in one article will notice and fix it before publishing. ChatGPT outputs text in one pass with no awareness of repetition across a document. It applies the same word inventory to every response.
The third problem is dramatic framing. ChatGPT was rewarded during training for generating text that felt complete and polished. Dramatic words make sentences feel conclusive. “Groundbreaking research shows…” feels weightier than “Research shows…” even when the underlying fact is identical. The model learned to add weight by adding drama.
The result is a recognizable signature. When you see “delve,” “tapestry,” “unleash your potential,” and “it is crucial to note” in the same article, you know a human did not write it.
The 283+ ChatGPT Overused Words (Complete List by Category)
These are words ChatGPT reaches for by default. Many are not wrong. Some are perfectly valid English words used in the right context. The problem is the frequency and the lack of specificity they introduce. When you see these in your ChatGPT output, ask whether a more concrete word exists.
Category 1: Dramatic Adjectives (Words That Inflate Without Substance)
These adjectives signal importance without providing evidence. Every tool is “cutting-edge.” Every strategy is “transformative.” Every update is “groundbreaking.” When everything is remarkable, nothing is.
- Amazing
- Awe-inspiring
- Breathtaking
- Brilliant
- Captivating
- Compelling
- Comprehensive (when used to pad)
- Crucial (overused as an opener)
- Cutting-edge
- Dynamic
- Exceptional
- Extraordinary
- Formidable
- Game-changing
- Groundbreaking
- Impactful
- Impressive
- Incredible
- Innovative
- Invaluable
- Life-changing
- Meticulous (used to mean thorough without showing it)
- Monumental
- Noteworthy
- Outstanding
- Paramount
- Phenomenal
- Pivotal
- Powerful (vague, not specific)
- Profound
- Remarkable
- Revolutionary
- Significant (overused to death)
- Sophisticated (without evidence)
- Stellar
- Substantial (when approximate is dishonest)
- Thoughtful
- Transformative
- Unparalleled
- Unprecedented
- Vibrant
- World-class
Category 2: Corporate Jargon (Words From Boardroom Decks, Not Real Writing)
These words belong in slide decks for investors. They feel authoritative in business contexts but say almost nothing in plain English. Replace them with what you actually mean.
- Actionable
- Agile (outside of software development)
- Authentic (when describing strategy, not identity)
- Best-in-class
- Best practices
- Bespoke
- Blue-sky thinking
- Cohesive
- Cross-functional
- Customer-centric
- Disruptive
- Ecosystem (when used as vague metaphor)
- Empower
- End-to-end
- Facilitate
- Forward-thinking
- Framework (overused as a noun for any structure)
- Future-proof
- Holistic
- Impactful
- Leverage (as a verb)
- Mindset (marketing context)
- Mission-critical
- Nuanced (used without explaining the nuance)
- Paradigm
- Proactive
- Robust (used for anything)
- Scalable
- Seamless
- Siloed
- Strategic alignment
- Synergy
- Tangible (when describing intangible things)
- Value proposition
- Vertical (meaning industry sector)
- Win-win
Category 3: Transition Filler Words (Words That Buy Time Without Adding Logic)
ChatGPT pads transitions with these words. They sound logical but rarely connect ideas in a meaningful way. Readers skim past them or lose patience.
- Additionally
- Admittedly
- Albeit
- Alternatively
- Certainly (as an opener)
- Consequently
- Conversely
- Critically
- Essentially (does not mean what most people use it to mean)
- Furthermore
- Hence
- Importantly
- Inevitably
- Interestingly
- Moreover
- Namely
- Nevertheless
- Nonetheless
- Notably
- Obviously
- Particularly
- Predominantly
- Primarily
- Remarkably
- Similarly
- Specifically (when the following sentence is not actually specific)
- Subsequently
- Ultimately
- Undoubtedly
- Whereas
- Whilst (British English that ChatGPT over-applies globally)
Category 4: Dramatic Verbs (Making Routine Actions Sound Heroic)
Opening an account is not embarking on a journey. Fixing a bug is not pioneering change. ChatGPT makes everything sound like a mission statement.
- Accelerate (used loosely)
- Amplify
- Bolster
- Bridge
- Catalyze
- Champion
- Commence (instead of start)
- Culminate
- Delve
- Elevate
- Embark
- Embrace
- Endeavor
- Enhance (when improve works)
- Epitomize
- Excel
- Explore (as a vague verb)
- Foster
- Harness
- Navigate (metaphorically)
- Pioneer
- Propel
- Redefine
- Reshape
- Revolutionize
- Shape (used loosely)
- Spearhead
- Streamline (without saying what is actually being streamlined)
- Supercharge
- Transcend
- Transform
- Unleash
- Unlock
- Utilize (instead of use)
Category 5: Pretentious Nouns (Ornate Words for Simple Things)
These nouns add length and poetry to sentences that should be clear and direct. They often mask the writer not knowing exactly what they mean.
- Advent
- Arena
- Beacon
- Blueprint (when plan works)
- Cornerstone
- Domain
- Endeavor
- Ethos
- Facet
- Fabric (metaphorical)
- Frontier
- Hallmark
- Intersection
- Journey (in business or strategy context)
- Labyrinth
- Landscape (business/digital landscape)
- Mosaic
- Nexus
- Paradigm
- Pillar (metaphorical)
- Pinnacle
- Realm
- Sphere
- Tapestry
- Terrain
- Trajectory
- Zeitgeist
Category 6: Vague Filler Words (Quantity Without Specificity)
These create an impression of scale without providing actual numbers or examples.
- A plethora of
- A wide range of
- All-encompassing
- Countless
- Diverse (as a vague qualifier)
- Extensive
- Immense
- Innumerable
- Multifaceted
- Myriad
- Numerous
- Robust (as a quantity adjective)
- Substantial
- Various
- Vast
- Wide variety
Category 7: Absolute and Certainty Words (Overconfident Openers)
ChatGPT defaults to certainty even when the topic is debated or depends on context. These words close off nuance.
- Absolutely
- Certainly
- Clearly
- Decidedly
- Definitely
- Indeed
- Obviously
- Of course
- Surely
- Truly
- Undoubtedly
- Unquestionably
- Without a doubt
Category 8: AI-Detectable Verb Phrases (Patterns AI Detectors Know Well)
These verb choices appear so consistently in ChatGPT output that AI detectors treat them as strong signals.
- Aim to
- Assist in
- Cater to
- Center around
- Contribute to
- Delve into
- Dive deep into
- Enable you to
- Ensure that
- Focus on (as a vague opener)
- Help you
- Look at
- Offer a
- Play a crucial role in
- Provide a
- Serve as
- Shed light on
- Show us how
- Take a look at
The 335+ ChatGPT Overused Phrases (Complete List)
Phrases are worse than individual words because they take up more space and signal even more clearly that a human did not write the sentence. These are the constructions ChatGPT defaults to across nearly every topic.
Opening Phrases to Delete Immediately
These are the opening gambits ChatGPT reaches for when it does not have a specific lead. Delete all of them and replace with a concrete first sentence.
- “In today’s fast-paced world…”
- “In today’s digital age…”
- “In today’s ever-evolving landscape…”
- “In an era where…”
- “In a world where…”
- “As we navigate the complexities of…”
- “As technology continues to evolve…”
- “As the digital landscape shifts…”
- “At the heart of…”
- “In the realm of…”
- “Welcome to our comprehensive guide…”
- “In this article, we will explore…”
- “In this blog post, we will discuss…”
- “Today, we’re going to dive into…”
- “Let’s dive in…”
- “Let’s delve into…”
- “Without further ado…”
- “It goes without saying that…”
- “It is no secret that…”
- “It’s worth noting that…”
- “It’s important to note that…”
- “Needless to say…”
- “Allow me to introduce…”
- “First and foremost…”
- “Before we begin…”
Transition Phrases That Add No Meaning
These phrases exist to move from one idea to another but they do not actually connect anything. They fill space.
- “When it comes to…”
- “With that in mind…”
- “Having said that…”
- “That being said…”
- “All things considered…”
- “At the end of the day…”
- “On the other hand…”
- “With this in mind…”
- “As mentioned above…”
- “As previously stated…”
- “As noted earlier…”
- “To circle back…”
- “Moving on to…”
- “Switching gears…”
- “Let’s take a closer look…”
- “In the same vein…”
- “By the same token…”
- “In a similar fashion…”
- “Along those lines…”
- “To that end…”
- “In light of this…”
- “Given this context…”
- “To put this into perspective…”
Dramatic and Hyperbolic Phrases
These make routine activities sound like epic events. They are a reliable marker of AI-generated marketing copy.
- “Embark on a journey”
- “Embark on this transformative journey”
- “Navigate the ever-changing landscape”
- “Navigate the complexities”
- “Harness the power of”
- “Unlock your full potential”
- “Unlock the secrets of”
- “Transform your business”
- “Transform the way you”
- “Revolutionize the way”
- “Change the game”
- “Game-changing technology”
- “Paradigm shift”
- “Unprecedented opportunity”
- “Cutting-edge solution”
- “State-of-the-art technology”
- “Innovative approach”
- “Holistic framework”
- “Seamlessly integrate”
- “Leverage your strengths”
- “Empower your team”
- “Foster innovation”
- “Drive meaningful impact”
- “Drive sustainable growth”
- “Amplify your reach”
- “Propel your success”
- “Elevate your game”
- “Catalyze change”
- “Pioneer new frontiers”
- “Bridge the gap”
- “Shape the future”
- “Redefine excellence”
- “Spearhead the movement”
- “Disrupting the industry”
- “Revolutionizing the field”
- “At the forefront of”
- “Leading the charge”
- “Pushing the boundaries”
- “Breaking new ground”
- “Paving the way”
Vague Corporate Phrases (Say Nothing Specifically)
These are filler phrases from business writing that have been used so often they carry no information.
- “Synergize your efforts”
- “Think outside the box”
- “Move the needle”
- “Low-hanging fruit”
- “Best of both worlds”
- “Take it to the next level”
- “Win-win situation”
- “Level the playing field”
- “Push the envelope”
- “Raise the bar”
- “Hit the ground running”
- “Touch base”
- “Circle back”
- “Get the ball rolling”
- “Bring to the table”
- “On the same page”
- “Drill down”
- “Deep dive”
- “Scalable solution”
- “Value-added services”
- “Going forward”
- “Actionable insights”
- “Streamlined processes”
- “Best-in-class results”
- “Robust framework”
- “Comprehensive solution”
Condescending Academic Phrases
ChatGPT writes these when it is explaining something obvious, or when it wants to signal that the reader should not push back.
- “As you may know…”
- “As you are likely aware…”
- “Of course, you already know…”
- “Simply put…”
- “To put it simply…”
- “In layman’s terms…”
- “Allow me to explain…”
- “To be clear…”
- “To clarify…”
- “Make no mistake…”
- “Rest assured…”
- “It is worth mentioning…”
- “One cannot help but notice…”
- “Suffice it to say…”
- “It stands to reason that…”
- “This begs the question…”
AI-Signature Closing Phrases
These closing phrases appear almost word-for-word at the end of thousands of AI-generated articles. They are safe to delete in almost every case.
- “In conclusion…”
- “To wrap things up…”
- “To summarize…”
- “In summary…”
- “As we have explored…”
- “As we’ve seen…”
- “It is clear that…”
- “All in all…”
- “Ultimately, it is up to you…”
- “The bottom line is…”
- “There you have it…”
- “I hope this helps…”
- “I hope you found this helpful…”
- “Feel free to reach out…”
- “Do not hesitate to contact us…”
- “With that, we conclude…”
- “Happy [doing task]!”
- “Best of luck on your journey!”
How These Words Get ChatGPT Content Detected as AI
AI detection tools like GPTZero, Originality.ai, and Copyleaks do not just look for word patterns. They measure statistical predictability. When a model generates text, each word choice follows a probability distribution over possible next words. AI-generated text tends to score low on what researchers call “perplexity” because the model consistently picks the highest-probability word.
Humans are unpredictable. We use idioms that are locally specific. We reference recent events with casual language. We make grammatical choices that would technically be incorrect but that any native speaker would understand. We start sentences with “But.” We end them with prepositions.
ChatGPT, by contrast, produces statistically correct and statistically predictable text. Every sentence is safe. No word choice is surprising. And the words on this list are among the highest-frequency choices in the model’s output, which means they have the highest predictability scores.
In my own testing, an unedited ChatGPT blog post scored 94% AI on GPTZero. After one editing pass removing the words and phrases from this list and replacing them with concrete, specific language, the score dropped to 62%. That single pass did not change any of the facts in the article. It only replaced vague dramatic language with direct plain language.
That result tells you something important: the problem is not that the content was AI-written. The problem is the word choices that signal AI writing. Fix the words, fix the signal.
3 Methods to Remove These Words from Your ChatGPT Output
Method 1: Add the List to ChatGPT Custom Instructions (Permanent Fix)
This is the most effective method. ChatGPT’s Custom Instructions are applied to every conversation automatically. You add the avoidance list once, and ChatGPT applies it to every output going forward.
How to set this up:
- Open ChatGPT and click your profile icon in the bottom-left corner.
- Select “Customize ChatGPT” or “Custom Instructions” depending on your interface version.
- In the “How should ChatGPT respond?” field, paste the avoidance prompt below.
- Save. That instruction now applies to every new conversation.
Copy-paste this into your Custom Instructions:
When writing any content, avoid these overused AI words and phrases. Do not use: delve, tapestry, landscape (as metaphor), leverage (as verb), synergy, holistic, paradigm, groundbreaking, revolutionary, transformative, innovative, game-changer, cutting-edge, crucial, robust, seamlessly, empower, unleash, unlock, beacon, realm, endeavor, furthermore, moreover, additionally, undoubtedly, it's worth noting, it's important to note, in today's digital age, embark on a journey, navigate the complexities, harness the power of, at the end of the day, in conclusion.
Instead, use specific, concrete, direct language. Replace vague adjectives with actual data or examples. Replace dramatic verbs with simple ones (use "start" not "embark," "use" not "leverage," "improve" not "elevate"). Write like a knowledgeable person explaining something clearly, not like a corporate press release.
Method 2: Add the Avoidance List to Individual Prompts
For one-off tasks where you do not want to change your global settings, prepend the avoidance instruction to your prompt.
Template:
[Your normal prompt here]
Additional instruction: When writing this content, avoid these words and phrases: [paste the relevant subset from the list above]. Replace them with specific, direct language. Do not use dramatic adjectives or corporate jargon. Write in a clear, human voice.
This works particularly well when you are generating a specific type of content and want to control the vocabulary for that piece.
Method 3: Two-Pass Editing (Generate, Then Revise)
Generate the content as normal, then run a second prompt to clean it up:
Review the text above and identify every instance of these overused AI words and phrases: [paste list]. For each one, suggest a replacement that is more specific, direct, and concrete. Show me the original phrase and your suggested replacement in a table format.
This gives you a side-by-side comparison and lets you approve or reject each change. It takes slightly longer but produces more natural-sounding revisions because ChatGPT understands the context when suggesting replacements.
Before and After Examples
The best way to understand the impact of these words is to see them replaced.
Example 1: Tool Review Introduction
Before (ChatGPT default):
“In today’s fast-paced digital landscape, it is crucial to leverage cutting-edge tools that can revolutionize your approach to keyword research. This comprehensive guide will delve into the transformative features of Semrush, offering actionable insights that empower your team to navigate the complexities of modern SEO and unlock unprecedented growth opportunities.”
After (concrete and direct):
“I tested Semrush on 14 client sites over six months. Here is what the keyword research features actually do, where they fall short, and whether the $130 monthly subscription is worth it for your situation.”
The second version is 15 words shorter, contains one specific number, makes a clear promise, and does not use a single word from the overuse list.
Example 2: Strategy Section
Before:
“Furthermore, it is worth noting that a holistic approach to content strategy is paramount for achieving robust results. By leveraging synergies between your various content pillars, you can seamlessly amplify your brand’s reach and foster meaningful engagement across diverse touchpoints.”
After:
“Content works better when your articles link to each other and cover related subtopics. A blog post about keyword research should link to your keyword clustering guide and your competitor analysis tutorial. That structure helps Google understand what your site covers.”
The second version describes an actual action. The first version says nothing that could be acted on.
Example 3: Product Description
Before:
“This groundbreaking, innovative solution harnesses the power of artificial intelligence to deliver unparalleled results. Empowering businesses of all sizes, our cutting-edge platform seamlessly integrates with your existing ecosystem to revolutionize your workflow and catalyze transformative growth.”
After:
“The tool connects to your existing Google Analytics account, pulls 90 days of traffic data automatically, and flags pages that have lost more than 20% of their traffic in the last 30 days. Setup takes about 10 minutes.”
The second version contains three specific facts. The first contains zero.
Why Removing These Words Also Improves Your SEO
This is not just about AI detection. These words are a symptom of weak writing that also damages SEO performance.
Thin content signals. When ChatGPT fills sentences with “it is crucial to note that” and “furthermore, it is important to understand,” those phrases take up word count without adding topical depth. Google’s quality raters look for comprehensive coverage of a topic. Padding with filler phrases lowers topical density.
Reduced E-E-A-T. The dramatic phrases and corporate jargon on this list are often used to cover a lack of first-hand experience. A genuine expert does not need to say their approach is “holistic” or “transformative.” They show the approach with specific examples. Google’s E-E-A-T guidelines reward demonstrated experience over claimed expertise.
Higher bounce rates. Readers who encounter “embark on a journey” in a blog post introduction are conditioned to recognize AI content and click back. That bounce signal can suppress rankings over time on competitive queries.
Keyword dilution. These phrases occupy space that could be used for natural keyword variations, semantic terms, and entity mentions that help Google understand your content’s topical relevance.
Replacing vague language with specific language solves all of these problems at once. The ChatGPT SEO keyword research prompts approach I use starts with eliminating these patterns before any optimization work begins.
If you want to check whether these words appear at high density in your existing content, run it through the free keyword density checker to spot overused terms.
The Copy-Paste Prompts
Use these directly in ChatGPT custom instructions or at the start of a prompt.
Prompt 1: Complete Word and Phrase Avoidance List
Avoid these overused words in all output: delve, tapestry, landscape (metaphorical), leverage (as verb), synergy, holistic, paradigm, groundbreaking, revolutionary, transformative, innovative, cutting-edge, crucial (as opener), robust, seamlessly, empower, unleash, unlock, beacon, realm, endeavor, furthermore, moreover, additionally, undoubtedly, certainly (as opener), absolutely (as opener), vibrant, dynamic, meticulous, nuanced (without explanation), spearhead, catalyze, amplify, elevate, embark, harness, navigate (metaphorical), foster, bolster, multifaceted, myriad, plethora, unprecedented, unparalleled, paramount, pivotal, notable, impactful, game-changer, game-changing, state-of-the-art, bespoke, actionable (without specific actions), best practices, proactive, scalable, streamline (vague), value proposition, zeitgeist, ethos, cornerstone (metaphorical), hallmark, nexus, mosaic, labyrinth, trajectory, frontier (metaphorical), whilst.
Avoid these overused phrases: "in today's digital age," "in today's fast-paced world," "it's worth noting that," "it's important to note that," "embark on a journey," "navigate the complexities," "harness the power of," "unlock your potential," "at the end of the day," "in conclusion," "let's dive in," "without further ado," "as we explore," "it goes without saying," "I hope this helps," "feel free to reach out," "think outside the box," "move the needle," "low-hanging fruit," "win-win," "holistic approach," "paradigm shift," "game-changing technology," "seamlessly integrate," "drive meaningful impact," "bridge the gap," "cutting-edge solution."
Replace all of these with specific, direct, concrete language. Use simple verbs. Name actual numbers, dates, and examples where possible.
Prompt 2: Quick Avoidance (Top 30 Only)
Do not use these words in your output: delve, tapestry, groundbreaking, leverage (verb), synergy, holistic, revolutionary, transformative, cutting-edge, robust, seamlessly, empower, unleash, paramount, pivotal, spearhead, harness, elevate, foster, vibrant, myriad, plethora, unprecedented, embark, navigate (metaphor), catalyze, amplify, bolster, multifaceted, paradigm.
Do not open with: "In today's digital age," "It's worth noting that," "In conclusion," or any variation of these filler phrases.
Prompt 3: Review and Replace Pass
After generating content, run this:
Review the text above. Find every word or phrase that sounds like AI-generated corporate language (dramatic adjectives, transition filler words, vague business jargon, and pretentious nouns). List each flagged phrase in a two-column table showing the original and a direct replacement. Keep the replacement specific and concrete. Do not introduce new AI-sounding language in the replacements.
Words That Are Fine to Keep
Not every word that sounds formal is an overused ChatGPT word. A few clarifications:
“Crucial” is fine when you follow it immediately with evidence for why the thing is crucial. The problem is “it’s crucial to note that” as a sentence opener with no evidence following.
“Furthermore” is fine in academic writing where logical progression matters. In blog content, it is usually better to start a new paragraph than to link with “furthermore.”
“Landscape” is fine in the literal sense (geographic features) or in a clearly defined analytical framework. “The competitive landscape in SaaS tools” used in a sentence that then lists specific competitors is fine. “Navigating today’s digital landscape” is not.
“Robust” is fine in technical writing where it describes system architecture that has been specifically tested for resilience. “A robust error handling system that catches four types of API failures” is fine. “A robust solution” is not.
“Innovative” is fine when followed by a description of what is actually new about something. “Innovative approach to link building: outreach emails that reference a specific sentence from the target’s most recent article” is fine. “Their innovative approach” is not.
The test is simple: does the word do work, or does it fill space? If you removed it, would the sentence lose meaning? If removing it does not change the meaning, remove it.
How to Spot AI-Written Content Using This List
You can use this list in reverse. When evaluating content from freelancers, agencies, or content mills, run it against the patterns on this list.
A document with high density of these markers is almost certainly AI-generated, or has been minimally edited from AI output:
- Three or more dramatic adjectives in the first paragraph (groundbreaking, transformative, unprecedented)
- An opening that includes “in today’s [landscape/world/age]”
- “Delve” appearing anywhere
- “Tapestry” appearing anywhere
- “Seamlessly” used to describe a software integration
- “Furthermore” used more than once in a 500-word piece
- A conclusion that begins with “In conclusion”
- “I hope this helps” as a closing phrase
If you see five of these eight signals, the content was generated without meaningful human editing. This matters when auditing existing content you are considering updating for SEO performance.
Frequently Asked Questions
What words does ChatGPT overuse most?
The most consistently flagged ChatGPT words across AI detection research and community analysis are: delve, tapestry, groundbreaking, leverage (as a verb), synergy, seamlessly, embark, holistic, paramount, transformative, and myriad. These appear across virtually every ChatGPT output regardless of topic or prompt length. “Delve” in particular has become the clearest single-word signal of AI-generated content.
Why does ChatGPT use the word 'delve' so much?
“Delve” appeared frequently in authoritative academic and literary sources in ChatGPT’s training data. The model learned to associate it with in-depth, credible writing. Because the model applies high-frequency associations broadly, “delve” became a default word for any prompt asking ChatGPT to explore a topic thoroughly. Multiple analyses of large GPT-4 output samples have found “delve” appearing at rates 5 to 10 times higher than in typical human writing.
Do these words actually get content flagged by AI detectors?
Yes. AI detection tools analyze statistical patterns, and these words are among the highest-frequency choices in GPT outputs. However, using or avoiding specific words is only one signal. Detectors also analyze sentence-level predictability, punctuation patterns, and structural uniformity. Removing these words lowers your detection score but does not guarantee human-level scores. The test I ran dropped scores from 94% to 62% on GPTZero with a single editing pass.
Will ChatGPT stop using these words if I ask it to?
In a single prompt, yes, mostly. In Custom Instructions, very reliably. In long multi-turn conversations, ChatGPT sometimes reverts to its defaults, especially when generating long-form content. The most reliable method is adding the avoidance list to Custom Instructions so it applies globally, then doing a final editing pass to catch any words that slipped through.
Does avoiding these words make content rank better in Google?
Not directly. Google does not penalize specific word choices. However, these words are symptoms of vague, thin content. Replacing them forces you to be specific, add actual data, and describe real experiences. That specificity improves topical depth, E-E-A-T signals, and user engagement, all of which contribute to ranking. The AI search SEO guide covers how to optimize for both Google and AI-powered search results in the same article.
How do I use this list in my ChatGPT custom instructions?
Go to your ChatGPT profile, select Customize ChatGPT, and paste the avoidance prompt from the “Copy-Paste Prompts” section above into the “How would you like ChatGPT to respond?” field. This applies globally to every new conversation. For Claude or other AI tools, add the list to your system prompt or use the two-pass editing method.
What should I replace these words with?
Replace dramatic adjectives with specific facts. Replace “groundbreaking research” with “a 2024 study from Stanford that tracked 10,000 users.” Replace vague verbs with simple ones: “start” instead of “embark,” “use” instead of “leverage,” “improve” instead of “elevate.” Replace pretentious nouns with direct terms: “field” instead of “realm,” “plan” instead of “blueprint,” “area” instead of “landscape.” The goal is a sentence where every word carries information.
Final Thoughts
The words on this list are not wrong. They are overused.
A word becomes a problem when it substitutes for thought. “Transformative” says nothing about what actually changed. “Embark on a journey” says nothing about what the reader will do. “Synergy” has been used so many times in business writing that it has lost whatever meaning it once carried.
ChatGPT defaults to these patterns because its training data was full of them. The model learned that certain words signal credibility and authority. The irony is that used in bulk, these same words now signal the opposite: content that was generated rather than experienced.
The fix is not complicated. Be specific. Replace adjectives with evidence. Replace vague verbs with ones that describe a real action. Replace dramatic nouns with the plain English word for the same thing.
If you want to go further, the lean AI SEO strategy guide covers how to build a workflow where AI handles the research and structure while your voice handles the language. And if you are generating content with AI tools that need to pass quality checks before publishing, see how WordRocket’s bring-your-own-API approach helps control output at scale.
Start with the custom instruction prompt above. Run your next ChatGPT output against this list. See how many flagged words appear. Then ask yourself whether your content was saying something or just performing expertise.
Most of the time, removing these words makes the content shorter and clearer at the same time. That is always the right edit.