Everyone's talking about AI content generation. I decided to stop reading reviews and run my own test — using a real deliverable, with real stakes.
The Test
I gave each tool the same brief:
- Two web-based articles to read and understand (my pieces on agentic AI use cases for SAP)
- An SAP corporate deck with template slides to use as the visual foundation
- Clear instructions: Combine the articles into a presentation with two chapters — one for each use case
Same inputs. Same instructions. Three very different results.
The contenders:
- Claude (Anthropic's flagship model)
- ChatGPT (OpenAI, using GPT-4)
- Prezent (purpose-built AI for enterprise presentations)
My hypothesis going in: the specialized tool (Prezent) would win on format and polish, while the general-purpose LLMs would produce better raw content that I'd need to assemble manually.
I was wrong on both counts.
What I Found
🥇 Claude: The Strategic Thinker
Claude produced the most coherent output by a wide margin — and it wasn't even close. It understood the narrative arc of the source material: not just the facts, but why they mattered and how they connected.
The deck Claude generated had:
- A clear agenda that set up the problem before jumping to solutions
- The customer scenario (Meridian Manufacturing) woven throughout as a narrative thread
- Logical progression from pain → architecture → data products → outcomes
- Slides that read like they were written by someone who understood the material
The kicker? Zero manual deck work required. Claude generated complete, usable slides directly.
The real surprise: Claude was the only tool that pulled images from the source article and recast them into the presentation. It didn't just read the text — it understood the visual assets were part of the story and integrated them. Neither ChatGPT nor Prezent did this.
🥉 ChatGPT: The Worst of Both Worlds
ChatGPT produced the worst output by far. It used every single slide in the template — all 30 of them — regardless of whether the content needed it. The result was massively bloated (14.3 MB) with content stretched thin across way too many slides.
And the design? Non-existent. Despite having access to the same SAP template as the other tools, ChatGPT produced slides with zero visual appeal. No thoughtful layouts. No imagery. Just walls of text dumped into template placeholders.
It somehow managed to be both bloated and ugly — the worst of both worlds.
Weakness: ChatGPT treated the template as a form to fill out, not a canvas to design. Thirty slides of bad design is worse than five slides of good design.
🥈 Prezent: The Enterprise Disappointment
This one surprised me most — and not in a good way.
Prezent positions itself as the enterprise AI for presentations. Their whole pitch is that they understand corporate communication, can apply your brand templates, and produce board-ready decks.
I couldn't figure out how to add my corporate template. The UI wasn't intuitive, and after 15 minutes of clicking around, I gave up and let it generate with its defaults.
The output was... fine. Accurate content, but formulaic. Heavy on numbered bullet lists. The Meridian Manufacturing story got chopped into fragments across slides instead of flowing as a narrative. It felt like a template got filled in, not a presentation got crafted.
Weakness: If your competitive advantage is "enterprise-ready," and an enterprise user can't access the enterprise features easily, that's a fundamental UX failure.
The Scorecard
| Criteria | Claude | ChatGPT | Prezent |
|---|---|---|---|
| Content accuracy | ✅ Excellent | ⚠️ Drifted off-brief | ✅ Accurate |
| Narrative coherence | ✅ Strong storytelling | ❌ Bloated, repetitive | ⚠️ Formulaic |
| Visual output | ✅ Pulled source images | ❌ Zero design, walls of text | ⚠️ Generic template |
| Ease of use | ✅ Simple prompting | ✅ Simple prompting | ❌ Confusing UX |
| Enterprise readiness | ✅ Direct output | ⚠️ Unpredictable | ❌ Features inaccessible |
| Manual work required | ✅ None | ⚠️ Fact-checking needed | ⚠️ Template setup |
🏆 The Winner: Claude
For strategic PMM content, Claude beat the specialized tool at its own game — while requiring zero manual assembly. That's the opposite of what I expected.
What This Means for PMMs
Four Takeaways from This Test
- General-purpose LLMs can beat specialized tools on their home turf. Claude understood positioning, narrative, and the "so what" better than the tool supposedly built for business presentations. That's a problem for specialized vendors — and an opportunity for PMMs who learn to prompt well.
- More output ≠ better output. ChatGPT filled every template slot and produced 30 slides of bad design. Quantity without quality is worse than useless — it's a time sink. The best deck is the shortest one that tells the complete story.
- "Enterprise" is often a positioning claim, not a product feature. Prezent's inability to easily onboard corporate templates — their core differentiator — is a UX failure. When evaluating tools, actually test the enterprise features. Don't trust the marketing.
- The best tool is the one that understands your content. Not the one with the fanciest features. Claude won because it got the material. It understood that a customer story should thread through the deck, not get chopped into fragments.
The Bottom Line
If you're evaluating AI content generation tools for PMM work, don't start with vendor comparison matrices. Start with your actual deliverables.
- For strategic content (messaging, positioning, narratives): Claude wins
- For quick visual drafts when accuracy is less critical: ChatGPT can work
- For enterprise presentations: Test the template workflow yourself before committing
The real insight: Claude won on every dimension — strategy, narrative, visuals, and zero manual work. The specialized tool couldn't match a general-purpose LLM on its own home turf. That should worry every vertical AI startup.
The AI doesn't need to do everything. It needs to do the hard part — the thinking — well. As it turns out, Claude does the easy parts well too.
What's your experience with AI content tools? I'd love to hear what's working (or not) for your team.
Coming Soon: More Tools in the Ring
This test was just the beginning. I'm expanding the evaluation to include more AI content and competitive intelligence tools that PMMs are asking about:
Competitive intelligence & battlecards
Market & competitive intelligence
Enterprise content generation
Marketing content at scale
Sales & GTM content workflows
Suggestions welcome
Each tool will get the same rigorous, real-world test: same brief, same source material, same evaluation criteria. Subscribe to the newsletter to get the results as they publish.
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