ChatGPT drafts a 12-slide seed deck in eight minutes. A VC reading 50 decks a week passes on it in 90 seconds. The Problem slide reads like a survey summary, the Solution slide reads like a landing page, and the Team slide reads like a LinkedIn generator. TextSight rewrites each prose-heavy slide so the deck reads like a founder thought it through, not a prompt did. Numbers, names, and TAM figures stay intact.
No other document type concentrates pattern volume in a single reader's inbox the way a pitch deck does. The result is a decision-maker with a personal classifier sharper than anything you can fool with polish.
A partner at an active seed fund reads 30 to 60 decks in a normal week. A junior associate reads more. Across a year, that is two to three thousand decks per reader. After two years of ChatGPT-drafted decks in the inbox, signature phrases jump off the slide before the reader has parsed what the company does. Buyers at enterprise companies sit in the same trap with vendor decks.
VCs are not grading prose quality. They are deciding whether the founder thought through the story. An AI-flavored deck answers that question for them. If the founder outsourced the narrative, the working assumption is that the founder probably outsourced the strategy. The deck does not get debated in the partnership meeting because it never makes it to the partnership meeting.
VPs of sales and procurement leads read 20 to 40 vendor decks a quarter. The same conviction-led test applies. A partnership deck that reads like a template gets routed to a junior who screens it out. A B2B SaaS demo deck that opens with "the modern enterprise faces unprecedented challenges" gets the polite "we are not the right fit at this time" two days later. The bar for conviction is now the bar for a meeting.
Use ChatGPT to draft slide titles, scaffold the arc, and produce a first pass of body copy. Then rewrite the prose-heavy slides before the deck leaves your laptop. Your numbers, your TAM, your founder bios, and your customer names stay yours. The rewrite changes the framing around them so the deck reads like you spoke it.
These patterns appear across investor seed decks, Series A decks, sales decks, partnership decks, and B2B SaaS demo decks. Experienced readers spot them in seconds, often before they can articulate why a slide feels generic.
"Disrupting the $X market." "Massive opportunity in a multi-trillion-dollar industry." "Game-changing technology in a rapidly evolving landscape." Every VC has seen this opening line hundreds of times in 2025. Fix: open the TAM slide with the bottom-up number that ties to a real wedge. "1,200 mid-market dental practices, $9,000 ACV, $10.8M serviceable" reads like a founder who has done the math. The trillion-dollar number reads like a prompt.
ChatGPT defaults to three balanced bullets on the Solution slide. Bullet one: a noun phrase about workflow. Bullet two: a noun phrase about AI or automation. Bullet three: a noun phrase about outcomes. Each bullet roughly the same length. Fix: let the slide be uneven. One bullet is a sentence, one is a fragment, one is a question your customer actually asks. The seams are the conviction.
ChatGPT writes every prose-heavy slide in the same three-beat shape: context sentence, finding sentence, balanced-bullet expansion. Across a 12-slide deck, this rhythm becomes a drumbeat the reader follows unconsciously. Fix: break the rhythm. Make the Problem slide a single named anecdote. Make the Why Now slide a single number plus a single date. Variance reads human.
"Passionate founder with deep expertise in [industry] and a proven track record of building category-defining products." This is the most recognised AI tell in fundraising. Investors stop reading the Team slide three words in. Fix: replace the framing with one specific. "Built and sold the email-deliverability piece of [Company]; now applying the same approach to [new wedge]." Specifics are the one thing ChatGPT cannot fake because it does not know your resume.
"As digital transformation accelerates and AI adoption reaches an inflection point, the timing has never been better for [category]." This is the slide where most decks lose the room. Real Why Now answers cite a specific regulatory shift, a specific incumbent stumble, a specific buyer behaviour that started 18 months ago. Fix: replace the macro paragraph with one date and one consequence. "GDPR-2 enforcement starts March 2026. Every B2B SaaS company processing EU data now needs the answer we sell."
ChatGPT closes decks with vision slides that read "Building the future of [category]" or "Reimagining how [audience] works." Every reader has filed these under "no specific claim." Fix: replace the vision slide with a forward-looking specific. "By Q4 2027, the default integration in this category. By 2028, the default in two adjacent categories." Concrete dates and bets read as conviction, not as filler.
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Decks run 10 to 15 slides and break naturally into prose-heavy and number-heavy sections. Treat each as its own pass. The full workflow takes 20 to 30 minutes for a seed deck.
The highest-stakes slide because investors decide whether to keep reading inside the first ten seconds. Paste your draft body copy into TextSight and scan. Aim for an Authenticity Score above 80. Replace the abstract problem framing with a single named anecdote: a real customer name, a real day, a real tool that broke. Use Balanced mode because narrative slides benefit from sentence-structure rewrites.
The slide most likely to read like a landing page. Rewrite the three-pillar bullet stack into a single declarative sentence plus one short fragment. Light mode here if the slide includes a product feature name or a specific integration partner. Balanced mode if the slide is mostly conceptual framing of how your product solves the problem.
Why Now is where most decks lose conviction. Replace the macro paragraph about digital transformation with one date and one consequence. TAM stays under Light mode because every figure matters and Balanced may rephrase a number into a range. Anchor the TAM in a bottom-up wedge calculation, not a top-down industry-report number, because investors recognise the difference immediately.
These slides are safer because the numbers carry them, but the prose around the numbers still needs Light mode. ChatGPT loves to add phrases like "demonstrating strong product-market fit" or "showcasing operational excellence" around a perfectly good growth chart. Strip those phrases. Let the chart speak. The annotation should be one specific cause: "Q3 growth driven by the enterprise tier launching in August."
The most recognised AI tell on any deck. Replace every passionate-founder phrase with one specific from each founder's resume. Light mode because names must stay exact. The two-line bio should be: "Built [specific thing] at [specific company] from [specific milestone] to [specific milestone]. Now applying the same approach to [the wedge of this company]."
Paste each rewritten slide back into TextSight one more time. Confirm every prose-heavy slide scores above 75. Read the whole deck top to bottom in one sitting, checking that the voice is consistent across slides and that every figure in the rewrite still matches the source. Decks are short enough that line-by-line verification takes five minutes.
A ChatGPT-drafted Problem slide body copy from a B2B SaaS seed deck, followed by the rewritten rewrite. Same wedge. Different prose. Same TAM, same product framing, no template smell.
"In today's rapidly evolving digital landscape, mid-market companies face unprecedented challenges in managing customer data across fragmented workflows. Existing solutions are either too complex for fast-moving teams or too simplistic for the demands of modern compliance. The result is a critical gap in the market: a robust, intuitive platform that empowers operators to achieve seamless data orchestration. Our research indicates that this pain point is universally recognised across the industry."
"Last March, Maya, head of RevOps at a 120-person SaaS company in Austin, spent four days exporting CSVs between Salesforce, Stripe, and her internal warehouse to answer one board question about churn. She is the third RevOps lead this year to tell us the same story. The tools that promise to fix this break at company sizes between 80 and 300, which is exactly where the spend on RevOps headcount triples. That is the wedge: 1,200 mid-market SaaS companies in the US, $9,600 ACV, $11.5M serviceable in year one."
Opened with a named persona doing a specific task on a specific day, not an abstract framing. Cut every AI vocabulary phrase (rapidly evolving, unprecedented, robust, intuitive, seamless, universally recognised). Replaced the generic "gap in the market" with a precise size band where the existing tools break. Closed with a bottom-up TAM number tied to the wedge, not a top-down trillion-dollar opener. Light mode preserved every figure exactly: 120 people, 80 to 300, 1,200 companies, $9,600 ACV.
Most pitch decks never see a Keynote file. They live in Google Slides shared with the partnership, Notion docs the founder iterates in, Pitch templates the design team owns, or Figma frames for the polished version. The AI rewriter reaches all of them.
The Chrome extension surfaces an AI rewriter button on any speaker notes block or text frame in Google Slides. Select the prose-heavy slide body, run the AI rewriter, the rewritten output replaces the selection in place. Useful when the founder is iterating with a partner who is reviewing inside Slides. Available from the Starter tier upward.
Most founders draft body copy for the prose-heavy slides in Notion before laying it into Slides or Pitch. The extension runs on any Notion block. Run each slide's body copy through Balanced or Light, paste the rewritten output into the design file. Saves the round trip of rewriting inside a design tool that does not love long text edits.
Sales decks and partnership decks often live in Pitch or Figma because the design team owns the visual layer. The extension works on text frames in both. For decks going to a tier-one fund or a Fortune 500 buyer, run the verification scan one more time after the design pass, because last-minute copy tweaks sometimes reintroduce the AI register.
If you are working in a deck tool the extension does not yet cover (Beautiful.ai, Tome, certain internal pitch builders), paste each slide's body copy into app.textsight.ai directly. Same three modes, same Authenticity Score, same in-line highlights showing exactly which sentences are dragging the slide down.
The mistakes that take a deck from AI-flavored to AI-flavored-with-bonus-errors. Six patterns we see most often in founder workflows.
Maximum rephrases aggressively and can shift a claim from "grew 47 percent quarter over quarter" to "saw significant growth" or "expanded materially." That is a different claim and a softer one. Use Light on any slide with figures or named entities, and reserve Maximum for the rare narrative slide where rhythm matters more than precision.
Slide titles are supposed to be short and declarative. Running them through Balanced sometimes turns "Why Now" into "The Emerging Window for [Category]," which is worse. Rewrite body copy only. Leave titles tight.
Rewriting each slide in isolation can produce five different voices in one deck, which is its own tell. After the final pass, read the deck end to end and smooth the seams. The Problem slide and the Team slide should sound like the same founder talking.
Even Light mode can occasionally drift a TAM number or a customer count by a digit. Diff the rewritten output against your source figures before sending the deck out. Two minutes per slide, every time. Non-negotiable for decks going to investors or to a regulator-reviewed buyer.
Founders skip the Team slide because they "already know what to say." That is the slide where investors are most calibrated to AI tells. If you only rewrite one slide, rewrite this one. Every "passionate" and "deep expertise" phrase has to go.
For decks going to a tier-one VC or to a Fortune 500 buyer, 75 is the working minimum on the four prose-heavy slides. A 60 on the Problem slide is the difference between getting a second meeting and getting a polite pass. Spend the extra 15 minutes.
The flagship AI rewriter page covering how the three-stage rewrite works across any ChatGPT content.
Open the flagship →Detector page tuned for founders writing LP updates, board memos, and quarterly letters between rounds.
Open the detector →How the score is computed and what threshold to aim for before a deck goes to a tier-one fund.
Read the guide →The main AI rewriter landing page covering all source models, not just ChatGPT, plus the standalone tool.
Open AI rewriter →Free to try, no card. Slide-by-slide AI rewriter, Light mode that preserves every TAM figure and founder name, and an Authenticity Score on every output so you know the Problem slide is ready before the deck leaves your laptop.