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Startup Guide

Business Plan Clichés — 10 Phrases to Cut and What to Write Instead

2026.05.05·6 min·OPENSEED
MENTORING KNOWLEDGE FORChief Analyst

Evaluators read hundreds of business plans every year. Certain words show up again and again, and the moment they appear, credibility drops instantly — words like 'innovative,' 'AI-powered,' 'advanced,' and 'going global.' This article covers ten clichés to cut from your business plan and what to write in their place.

Intro.

#Ten Clichés to Cut

ClichéWhy it's a problem
InnovativeA subjective claim every company makes
AI-poweredMeaningless without an explanation of how the AI actually works
Advanced / upgradedAn abstract label with no specific feature behind it
Going globalA promise made before even winning the home market
GroundbreakingUnsubstantiated self-praise
'Many people do X'A vague subject, with no data behind it
'We plan to...'Something you probably should have already started
Overwhelming / dominantNo comparison point or benchmark given
World's firstUnverifiable, a common exaggeration
'The market grows X% every year'Market growth isn't evidence that your specific problem is real
02

#Rewrites — Turning Clichés into Quantified Language

ClichéRewrite (quantified and specific)
'An innovative solution''Cuts processing time from 7 minutes to 1, compared to the existing method'
'AI-powered'Explain the model, the input, and the output — e.g., 'Analyzes the user's input text and returns [specific result]'
'Advanced''Changes from v1.2 to v2.0: added [feature], improved [performance metric]'
'Going global''Year 2: expansion into Japan and Southeast Asia (local partnership with [company] already confirmed)'
'Many people''9 out of 12 office workers in their 30s (based on our own interviews)'
'An overwhelming advantage''Half the price of competitors, one-third the processing time, first to prioritize [target-language] support'
'World's first''First launch in this category in the Korean market (verifiable source cited)'
TIP
Quantified language creates a verifiable claim. Verifiable claims build trust; unverifiable ones breed doubt.
03

#Dangerous Language Patterns

The pattern is more dangerous than any single word. Check your writing immediately if you spot any of these four patterns.

  1. Vague subjects — sentences that open with 'many,' 'most,' or 'generally'
  2. Unsourced comparisons — 'better than competitors' or 'above market average' with no citation
  3. Future-tense promises — nothing but repeated 'we will' and 'we plan to'
  4. Stacked abstract adjectives — three or more of 'innovative,' 'groundbreaking,' 'dominant' in a single paragraph
04

#A Cliché Business Plan vs. a Good One

Cliché business planGood business plan
'This service is an innovative, AI-powered healthcare solution that will expand into global markets and secure an overwhelming competitive advantage.''A mobile app that solves the problem of office workers in their 30s spending an average of 7 minutes every week agonizing over what to eat for lunch, by recommending menus based on their diet and exercise data. 62 of our 80 beta users were still active after 4 weeks — a 78% retention rate.'
TIP
The two passages are nearly the same length, but their credibility is worlds apart. Cutting five abstract adjectives and adding one piece of quantified data is what makes a business plan strong.
Summary.

#Self-Check Checklist

  1. Do words like 'innovative,' 'groundbreaking,' 'dominant,' or 'world's first' appear anywhere?
  2. Are there sentences that open with vague subjects like 'many,' 'most,' or 'generally'?
  3. Are 'AI-powered' or 'advanced' used without explaining the specific feature behind them?
  4. Have five or more future-tense promises ('we plan to...') piled up?
  5. Does every comparison cite a source or benchmark?
  6. Is 'going global' only mentioned after home-market traction is established?
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OpenSeed's evaluation agent automatically detects cliché word frequency, abstract-language patterns, and sentences that lack quantified support. under the current payment terms shown on the analysis start screen.
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Our evaluation agent automatically flags abstract language, future-tense promises, and a lack of quantified support.

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