Pre-scan your case write-ups, capstone consulting reports, group project drafts, and internship application essays before Turnitin or your recruiter sees them. Sentence-level highlights show exactly which lines read AI, with per-sentence perplexity and burstiness so you can fix the specific phrasing rather than the consulting register you were taught to write in. FERPA-aware, no training on student work. Free to try. No card.
For undergraduate business students writing 6 to 12 deliverables a semester across strategy, marketing, finance, and operations courses, plus a senior capstone and rolling recruiting essays. The realistic 2026 default is draft fast, scan before submission, fix the specific sentences that read AI.
Business undergrads carry a writing load that mixes formal case-analysis genres with recruiting-deadline pressure, often in the same week. Detectors over-flag the McKinsey-style register the major programs explicitly teach, which means false positives hit hardest in the prose you were trained to produce. Pre-scanning is the cheapest insurance against a wrongful integrity review on a case write-up you actually wrote yourself.
Three to seven pages of structured argument with frameworks like Porter Five Forces, SWOT, BCG matrix, and value-chain. Free tier covers a single case scan up to 5,000 characters. Pro at $19.99 a month, or $14.99 a month on yearly, unlocks 10,000 character pastes for longer Harvard Business School style cases and unlimited scans for the weeks you have two cases due back-to-back.
Senior capstones at Wharton, Ross, Stern, and McIntire often involve real client deliverables: 25 to 40 page strategy memos, market entry recommendations, or operational redesigns. The 90-day Pro history matters when a capstone advisor asks about a draft section you submitted three weeks ago. PDF export keeps a defensible record of what you scanned and when.
Most strategy and marketing courses run team deliverables across three to five students. Mixed-author drafts read uneven to any detector. Scanning section-by-section instead of the merged document tells you which teammate's paragraphs are pulling the score down without surfacing it as a public accusation.
Most undergraduate business programs now run Turnitin or a similar AI check somewhere in the core curriculum, with the senior capstone consulting project as the high-stakes deliverable where integrity reviews actually happen. The exact policy varies by school and by professor, so check your own syllabus rather than assuming. Whatever the local rules, the pre-submission workflow is the same: draft normally in your own voice, scan with TextSight before you submit, edit the specific sentences that flag, then submit through Canvas, Blackboard, or whichever LMS your school uses.
Five genres cover most of the writing a business undergrad submits across four years. Each has its own false-positive profile, and TextSight is calibrated for all five.
The most common business undergrad genre and the one most often over-flagged. The format rewards uniform sentence rhythm, parallel structure, and recurring framework vocabulary, which all overlap with ChatGPT defaults. Aim for an Authenticity Score above 75. Scattered yellow flags inside a tight Five Forces breakdown usually reflect the genre, not AI use.
STP, marketing mix, and go-to-market write-ups for courses like consumer behavior, brand management, and product marketing. The structured bullet-heavy format trips detectors less than case analyses but more than narrative prose. Scan the full plan as one document, not section by section, because flow matters here.
Ratio analysis, DCF write-ups, and equity research style memos for finance and accounting courses. The numeric content sits outside the classifier; only your narrative explanation gets scored. Common false positives come from textbook-style phrasing around liquidity, leverage, and profitability ratios. Rewrite definitions in your own voice.
Entrepreneurship and new venture courses ask for 15 to 30 page business plans with executive summary, market analysis, financials, and operating plan. Scan the executive summary and market analysis sections most carefully, because those are the prose-heavy parts where AI residue accumulates and where reviewers focus first.
The senior deliverable. Often a real client engagement through a capstone studio at Ross, Mendoza, Smith, or Marshall. Multiple draft cycles, advisor reviews, and a final presentation. The 90-day history on Pro is built for this rhythm: scan after each revision, watch the score climb, keep the PDF receipts.
Pick the plan that matches your case load. Most students start free, move to Pro for a capstone-and-recruiting semester, and only the team plan past that. Pro is $19.99 a month standard and $14.99 a month on yearly billing. Full details on the pricing page.
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Most strategy, marketing, and capstone deliverables are written by three to five students. The merged document looks uneven by design. Here is the realistic workflow.
Each teammate writes their section in their own voice. When you merge into one document, the seams are obvious to any classifier. Scanning section-by-section gives you a per-section score, so you can tell which sections need work without re-running the whole thing.
A merged group document often has uneven burstiness across the page: teammate A writes long flowing paragraphs, teammate B writes short choppy bullets, teammate C copy-pastes from the slide deck. The overall Authenticity Score smooths these out and hides the actual problem sections. Per-section scans surface them.
It usually means either heavy AI assistance on that section or formal-register prose that the classifier reads as AI-shaped. Either way, the conversation is more productive at the section level. Sentence-level highlights show specific lines to revise rather than vague accusations across a whole submission.
For senior capstone teams running multi-week engagements, the Business tier with 5 seats and shared history makes sense: every teammate sees the same scan archive, the audit log shows who scanned what, and you keep the PDF receipts together for the final advisor review.
Major case competitions such as the HULT Prize, the Deloitte National Undergraduate Case Competition, KPMG ICC, and EY case competitions increasingly add AI-content review at later rounds. Capstone consulting projects for real clients face the same pressure. Check each competition's rules, then pre-scan so a flag never decides it for you.
Judges started getting submissions that were obviously templated. Some teams were running the case prompt through ChatGPT, lightly editing, and submitting. The judging boards responded by adding AI screening at the round between regional and national, which is the round where prize money starts mattering.
For a multi-round competition, scan your team's deck script and written submission before each round. Aim above 75. Below 70 means rewrite the prose-heavy sections, particularly the executive summary and recommendation slides which judges read first.
If the competition committee asks about AI use, the Pro tier exports a PDF showing the input text, the Authenticity Score, the sentence-level flags, the timestamp, and the classifier version. That is the format a competition appeals process actually wants to see.
If your capstone is for a real client (common at Ross, Mendoza, Smith, Marshall, McIntire), the client may not know to ask about AI content. Your professor will. Run a scan before each advisor review and keep the receipts in your team folder.
IB, consulting, and finance recruiting all run AI-content scans on application essays now. The risk profile is different from coursework because there is no formal hearing, just a silent reject before first round.
For Goldman, Morgan Stanley, JPMorgan, Bain, BCG, McKinsey, and the major consulting and IB firms, application essays go through automated screening that includes AI detection as one signal. A flagged essay does not always get rejected outright, but it lowers the read-priority and you may never hear back.
Coursework safety is around 75. Recruiting essays should be higher because the screener is calibrated more aggressively. Below 70 on a 500-word application essay means the prose reads polished enough to look templated, and a busy recruiter may screen it out without reading carefully.
"Why Bain?" essays are the most over-flagged genre across all of recruiting because every applicant pulls similar talking points from the firm's website. Mention specific people you have spoken to, specific cases you have read, specific cities or practices you care about. Detail breaks the templated rhythm.
Cover letters are even more templated than essays by design. Scan and aim above 75. The fix is usually one specific anecdote in the middle paragraph, not a wholesale rewrite. Sentence-level highlights show you exactly which lines to swap.
One headline percentage tells a strategy professor nothing useful and tells you even less. The TextSight panel breaks a case write-up down into the consulting moves you actually made: situation, analysis, recommendation. You fix the sentences that flag inside a recommendation, not the whole memo.
Every line of a Porter Five Forces breakdown, a SWOT quadrant, or a marketing-mix paragraph gets its own AI-likeness colour. With business writing the skill is reading position, not just colour. A yellow line inside a "threat of new entrants" bullet is almost always the framework template doing its job. A red cluster running through your synthesis or your "so what" recommendation is where a real reviewer looks, so that is where you spend your edit budget.
Above the line view, section cards tell you whether your executive summary, your situation analysis, or your recommendation is dragging the number down. On a 12-page consulting deck script that beats scrolling every red sentence. Most business drafts flag heaviest in the executive summary, because that is the paragraph students most often let a model polish, so start the card review there.
Perplexity measures how predictable your phrasing looks to a language model, and consulting prose is predictable by training. Recurring moves like "this presents both an opportunity and a risk" or "in conclusion, the firm should pursue" sit at low perplexity whether a human or a model typed them. Seeing the per-sentence number on Pro lets you tell a tired b-school cliche from genuine AI residue and rewrite only the former.
Burstiness captures how much your sentence length swings across a paragraph. A model defaults to even, conference-room cadence; a student arguing a real recommendation writes one punchy claim, then a long qualifying clause, then a fragment for emphasis. Flat burstiness across a whole strategy memo is the classic fingerprint, and on this page it surfaces most in financial-statement narratives and tidy "Why us" recruiting paragraphs where the rhythm rarely breaks.
A case analysis can carry sponsor data, and a recruiting essay carries your name on a firm's desk. FERPA in the US, GDPR across the EU and UK, and local equivalents elsewhere all cover that text, and TextSight is built to honour those rules from the first free scan, never as a setting you upgrade to find.
A live case analysis can name a real company, a real strategy, sometimes a sponsor your capstone studio works with under NDA. Text you paste in for scanning is never fed back to train the classifier or anything else we run. That is written into the terms, not buried in a settings panel, and it holds on the free tier exactly as it holds on Pro and Business.
You can check a draft without handing over an email or creating an account at all. That matters most for the application essays you would rather no recruiter trace back to a tool: paste a Bain "Why us" or a Goldman cover letter, read the highlights, and TextSight never learns whose essay it was.
Your scan archive lives in your account alone. Nothing is shared with the business school, a strategy professor, the career management centre, an employer, Turnitin, or any outside party. A consulting memo you pre-scanned at 2am never lands in an integrity file or a recruiting record someone can pull.
Every record in your history can be removed, and Pro lets you delete them one at a time. Retention follows the settings you choose, and a standard DPA is on the table for Business and Enterprise so case-competition teams and student consulting clubs can sign one before they share an account.
The full student landing page with the false-positive defence and the academic tone preset.
For students →The broader undergrad workflow across all majors.
For college students →The pre-scan workflow that catches Turnitin flags before your professor does.
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How TextSight fits other teams and workflows.