- October 7, 2025
- FOXITBLOG
Artificial intelligence has become the Swiss Army knife of modern marketing—capable of everything from research to reporting, content creation to campaign analysis. But for many teams, that versatility has also become a trap. They’re asking AI to do everything… and ending up with what experts now call “AI slop.”
“An AI content strategy without a human vision,” said Nick Mattar, author of Generative AI for Marketers, “is like watching the same movie over and over again.”
That’s because the real value of AI isn’t about replacing humans—it’s about amplifying them. It’s about building smarter systems that combine automation with critical thinking, accuracy, and creativity.
The Rise (and Risk) of One-Click Content
When ChatGPT first went mainstream, teams everywhere jumped to automate blog posts, social media captions, and even product copy. The results were fast—but not always good.
Mattar calls this out as one of AI’s biggest misconceptions: “Companies either take it too far or not far enough.”
Some push full automation without review. Others reject AI entirely, leaving employees frustrated and resorting to “shadow tech”—using unauthorized tools to get work done. Both approaches carry risk, especially when accuracy and compliance are on the line.
AI hallucinations—where systems confidently generate false data—underscore the problem. Mattar shared a cautionary story of how ChatGPT fabricated sources for a case study about Slack’s ad strategy. The citations looked real, but none existed. If unchecked, these errors could have made it into classrooms or company reports.
“AI would rather give you an answer than admit it doesn’t know,” Mattar explained. “That’s why verification and human editorial review are non-negotiable.”
The Smarter Path: Building an AI Stack
The most successful marketers aren’t relying on a single AI tool—they’re building AI stacks: interconnected platforms that each play to their strengths.
For example, a robust workflow might look like this:
- Perplexity AI for verified research and sourcing.
- Claude for structuring outlines and content logic.
- ChatGPT or Gemini for drafting and brand tone.
- Foxit PDF Editor+ or Foxit eSign for secure publishing, collaboration, and document verification.
- Foxit AI for intelligent document insights—automating data extraction, summarization, and workflow recommendations to make every file smarter and every process faster.
Each tool does what it’s best at. Together, they form a complete, auditable content pipeline that’s faster and more reliable than any single solution.
“There is no one magic tool,” Mattar said. “You really need to look at this like a larger tech stack.”
From Analytics to Automation
AI’s potential extends far beyond content generation. In data-heavy environments—think Google Analytics, CRM systems, or marketing dashboards—AI is now being used to simplify reporting and surface insights.
Marketers can connect GA4 to Gemini or ChatGPT connectors to ask natural-language questions like “Which day of the week drives the most website traffic?”—and get immediate answers that used to take hours to extract. That’s the kind of time savings that scales across an entire department.
As Mattar put it, “AI shines when it removes the monotonous manual review of data and lets marketers focus on the insights.”
APIs: The Next Frontier of AI in Business
The future of AI in the enterprise won’t be defined by flashy chatbots—it’ll be driven by APIs. These integrations allow AI systems to securely access and act on information already inside platforms like GA4, Mailchimp, or Foxit’s document management tools.
That means automated reporting, email summarization, and document routing—all built around real, verified company data.
“I think APIs are where people will see the biggest real-world value,” said Mattar. “It’s where AI stops being a novelty and starts becoming infrastructure.”
Key Takeaways
- AI should assist, not replace. Keep human oversight central to every AI workflow.
- Stack your tools. Use the right combination for research, creation, and verification.
- Fact-check everything. Verify sources before publishing or presenting.
- Leverage APIs. Integrate AI where your data already lives for smarter automation.
- Prioritize critical thinking. As Mattar put it, “Think about what’s popping up on your screen.”
FAQ
Q: What’s the difference between “AI slop” and responsible AI use?
A: “AI slop” refers to unreviewed, repetitive, or factually incorrect content generated by AI without human oversight. Responsible AI use blends automation with review, ensuring accuracy and brand alignment.
Q: How can businesses prevent AI hallucinations?
A: Always verify citations, use tools like Perplexity or Deep Research, and require editorial approval before content goes live.
Q: Why are AI stacks better than single platforms?
A: Each platform has unique strengths—research accuracy, content structure, or creative output. A stack balances those strengths for higher-quality, compliant results.
Q: What role does Foxit play in this AI-powered future?
A: Foxit’s comprehensive AI platform unites creation, collaboration, and compliance in one intelligent ecosystem. From Foxit PDF Editor+ and eSign to Foxit AI, every solution works together to automate document insights, strengthen data security, and ensure every AI-driven workflow is accurate, auditable, and enterprise-ready.
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