Problem
Proposals can feel generic even when the work behind them is strong.
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Proposal Checker
Proposals can feel generic even when the work behind them is strong. Review personalisation, vague claims, confidence, clarity and client trust before sending.
Use the result to improve trust, clarity, professionalism and first impressions before the content reaches someone else.
Analysis workspace
Scan type
20-8,000 characters recommended for analysis.
Try an example
Specific client details and project context often improve authenticity signals.
Disclaimer: AI detection results are guidance only. No detector can prove authorship with certainty.
Analysis panel
Review proposal-specific AI-like signals, sales tone, client fit, and authenticity cues.
Insight preview
Personalisation depth
Checks whether the proposal appears tailored to the client brief.
Generic sales phrasing
Looks for broad benefit claims and polished sales language.
Repetitive CTA pattern
Reviews whether calls to action repeat predictable patterns.
Context alignment
Checks whether delivery claims match the stated project need.
Supported examples
Privacy reassurance
Submitted text is processed temporarily and is not stored in scan history.
Guidance-first reminder
Results are probabilistic guidance signals, not proof of authorship.
Report preview
Best for
What it checks
Personalisation depth, Generic sales phrasing, Repetitive CTA pattern
Why it matters
Protect client trust by reviewing personalisation, evidence, and reusable sales language before sending.
Example outcomes
The report explains signal strength and practical review steps. It does not make absolute authorship claims.
Plain-language signals
Focused on outcomes users can understand quickly.
Proposals can feel generic even when the work behind them is strong.
Clients look for evidence that you understand their project, not just polished wording.
Review personalisation, vague claims, confidence, clarity and client trust before sending.
Freelance proposals, Agency pitches, Grant applications, Tender responses.
Review whether the content creates the right impression for the audience.
Understand patterns that may make the content appear overly AI-generated.
Practical guidance
The checker helps you decide what to revise, clarify or verify before the content reaches an audience.
Results are written for real-world review. Look for ways to add context, make claims more specific, improve readability and reduce wording that may weaken trust.
Responsible answers for practical use.
It helps freelancers, agencies and sales teams understand how proposal may be perceived before it is sent, published, submitted or trusted.
No. Results are guidance, not proof. Use them with context and human judgement.
Use the insights to improve authenticity, trust, clarity, professionalism and readability.
Content confidence
Get clear insights into authenticity, trust, clarity and AI writing patterns in seconds.
Privacy-first analysis
Proposal reports use safe metadata only. Submitted proposal text is not stored in scan history.
Keep the client-specific details that make the proposal feel grounded.
Add one or two details from the client brief.
Reduce generic freelancer or agency-style sales language.