Author: Jacklyne Achieng’

The Ultimate SEO Vs. GEO Guide for The 2025 Marketer

There has been a rapid increase in AI-powered search experiences like ChatGPT, Perplexity, and Google’s evolving Search Generative Experience (SGE).

And businesses and content creators are facing a stark reality: ranking well in traditional search results is no longer the sole path to online discoverability.

Leaders must now rethink their content through two distinct, yet interconnected lenses: SEO and GEO.

What is SEO?

Search Engine Optimization (SEO) is the well-established practice of improving a website’s visibility and ranking in traditional SERPs to drive organic traffic and ultimately, conversions.

Here is a visual example of the traditional SEO ranking system of blue links that direct users to your page.

A screenshot of SERP page with a list of ranked sites

The primary audience for traditional SEO has always been human searchers using platforms like Google, Bing and YouTube.

Its evolution traces back to the early days of the internet, when basic algorithms analyzed keywords to determine relevance.

Over decades, SEO has matured into a complex discipline, built upon these core pillars:

Technical SEO: Ensuring a website is crawlable, indexable and has a healthy technical foundation (e.g., site speed, mobile-friendliness, structured data implementation).
On-page SEO: Optimizing individual web pages for specific keywords and user intent (e.g., title tags, meta descriptions, headings, content quality, internal linking).
Off-page SEO: Building authority and trust through external signals like backlinks from reputable websites, brand mentions, and social signals.
Content Strategy: Creating authoritative and engaging content that answers user queries and satisfies their needs.

What is GEO?

Generative Engine Optimization (GEO) is the newer and more nuanced process of making your content retrievable, referenceable and directly cited by AI engines and large language models (LLMs).

Unlike traditional SEO, which aims to get users to click on your link, GEO aims to have your content become the answer, or at least a highly credible source for an AI-generated answer.

To visualise the current AI search, here’s a screenshot that shows an AI overview summary on the left and the relevant cited pages on the right.

A snippet view of how AI Overviews are presented in search engine.

The audience for GEO is fundamentally different: it’s AI models themselves and by extension, the users interacting with AI agents and conversational interfaces.

With GEO, the focus shifts from keywords in isolation to a deeper understanding of structured data, chunked facts, machine-readable formats and pervasive brand mentions.

Key Differences Between SEO and GEO

While both SEO and GEO aim for online visibility; their approaches, targets, and success metrics diverge significantly.

Here’s a breakdown of their core differences:

Element	SEO	GEO
User Intent	Human search queries (e.g., “best running shoes”)	AI prompts, conversational queries, and agent tasks
Ranking Mechanism	Indexing + Algorithmic SERP ranking	Retrieval + LLM reasoning and summarization
Optimization Target	Search engine crawlers (Googlebot, Bingbot)	Large Language Models (LLMs) like ChatGPT, Claude, Gemini, Perplexity
Format Focus	Optimized webpages, meta tags, links, comprehensive articles	Data chunks, clean facts, structured formats (schema, tables, FAQs)
Metrics	Rankings, organic traffic, click-through rate (CTR), conversions	Mentions, citations, direct answers, embeddings, brand visibility within AI responses

How GEO Impacts the Modern Marketing Funnel

AI assistants fundamentally alter the traditional marketing funnel by introducing a new, critical discovery layer: zero-click discovery.

A study by Wordstream shows that 58% of Google searches now result in zero clicks as consumers bypass traditional search results entirely.

An example is when I asked an AI assistant: “What are the best noise-canceling headphones for travel?”

Here is a snippet of the response from a list of 10 items ranked by quality:

A screenshot example of how searchers can employ AI models for quick answers

This shows that if your brand’s content isn’t visible to AI or detailed in a way that’s digestible by LLMs, you’re missing a massive chunk of the early-stage consumer journey.

How SEO and GEO Work Together

SEO and GEO are not mutually exclusive. Here is how they complement one another:

SEO Feeds GEO: Well-structured and optimized content that is easy for crawlers to understand and organize is more likely to be pulled into AI-generated summaries.
Programmatic Content For Dual-Purpose: Content generated programmatically for SEO scale (e.g., thousands of product variations or location pages) can be designed with GEO in mind to serve traditional search intent and AI prompts.
Brand Consistency and Trust: Both SEO and GEO benefit immensely from a consistent brand message, strong trust signals (E-E-A-T) and factual clarity.

Practical Steps for Marketing Leaders

Marketing leaders must employ sound strategies to prioritize both SEO and GEO initiatives.

For SEO:

Maintain a Strong Foundation

Invest in technical SEO and monitor your site health.
Adopt robust backlink strategy for authority,
Conduct a meticulous keyword mapping to ensure you’re targeting relevant human queries.

Leverage Programmatic SEO for Scale

Programmatic SEO is an efficient way to create content at scale when used strategically.

Otherwise, you run the risk of creating thin content that does not appeal to user intent.

Companies like Zapier have created thousands of landing pages for each product they integrate with using programmatic methods.

A visual of Zapier's Programmatically producced content

Monitor Traditional SERP Shifts

Continuous monitoring of your site is essential. A Semrush study indicates that AI search visitors could surpass traditional search visitors by early 2028 or sooner.

Keep a close eye on how Google’s AI Overviews and other generative features are impacting your organic clicks using tools like Ahrefs and Semrush.

For GEO:

Structure Content Relentlessly

Break down complex information into easily digestible “fact blocks” that AI can readily identify and utilize.

Implement JSON-LD schema markup meticulously.
Use HTML tables, bulleted lists, and clear FAQ sections.

Cultivate Brand Mentions Across Trusted Third-Party Sources

AI models value collective intelligence and established authority.

With strategic PR, you can:

Secure positive reviews on industry-leading platforms.
Build a strong network of brand citations on high-authority websites.

Test Your Content’s Visibility in AI Platforms

Don’t just assume.
Actively search for your brand, products, and key topics in ChatGPT, Perplexity, Claude and Google’s AI Overviews.
Map out when and how your content is cited (or not cited) by these AI models.

Publish Original Research and Definitive Guides

To stand out, create content that offers:

Unique insights and perspectives
Proprietary data
Definitive answers to complex questions

GEO Tools and Metrics to Track

The measurement landscape for GEO is still in its early stages but rapidly evolving.

Here are some tools to consider:

1. Perplexity Pages / Pro Search

This tool enables SEO professionals to research topics, create comprehensive content pages, and reference their own websites for link building.

2. ChatGPT with Browse

It analyzes existing content to identify optimization opportunities and generates SEO-optimized content by browsing current web data.

When Browse is enabled, observe if ChatGPT directly links to or summarizes your content.

3. LLM Retrieval Simulators

These tools test and simulate how LLMs retrieve and process content for AI-powered search results from your site.

4. AI Visibility Tools

Platforms like Writesonic’s GEO, Profound, Peec AI, and Keyword.com are specifically designed to track brand mentions and visibility within AI-generated responses across various LLMs.

They can help you monitor citation frequency, prominence, and even sentiment.

5. Semantic SEO Tools

These tools analyze entities, topics and relationships (beyond just keywords) to improve AI comprehension.

The metrics to track include:

The frequency of brand/content citations in AI outputs
The position of your content within AI-generated summaries
Sentiment of the AI references
The types of queries that trigger your content as an AI source

The Future: From SEO Teams to Visibility Teams

The traditional “SEO team” must transition into a broader “AI Visibility Team.”

This requires new skill sets and a reimagined workflow:

Content Engineers

These professionals are essential for structuring content for machine readability and scalability.

AI Prompt and Retrieval Optimizers

These are specialists who understand how users phrase queries to AI and how AI models retrieve information, enabling them to fine-tune content for optimal AI response.

Data Structuring Experts

These professionals are skilled in implementing schema, creating robust content models and ensuring data integrity across complex content systems.

Success will depend on how effectively organizations can structure their knowledge base to be consumed and cited by intelligent agents, not just crawled by traditional search bots.

The Brands That Adapt Win

The future of search is no longer just a list of blue links; it’s a combination of AI summarized answers, intelligent agents and interactive AI interfaces.

While traditional SEO is still essential for driving conversions at the final stage of the customer journey, GEO is rapidly becoming critical at the initial, zero-click discovery phase powered by AI.

Marketing leaders must recognize this shift and invest in both SEO’s foundational principles and GEO’s advanced content structuring to double their rewards; visibility and conversions.

To ignore this, is to risk obsolescence.

July 23, 2025

Can ChatGPT Summarize a YouTube Video?
Content consumption is at an all-time high with YouTube, a leading video platform, having approximately 2.7 billion monthly active users as of early 2025.

From detailed video tutorials to hour-long podcasts, Youtube offers a wealth of information.

The only challenge is that sometimes, it can be quite an endeavour navigating lengthy videos among the many looking for one specific answer to your particular question.

Enter ChatPT, its quick-fire text based outputs are tidily summarized and above all, direct answers to your questions.

Hence the question, can ChatGPT summarize a YouTube video?

Yes! ChatGPT can help decipher through a long video and give you a brief summary of its content but with some conditions in place.

It is important to remember that ChatGPT is a text-based AI, therefore, it can’t “watch” a video in the traditional sense and tell you what it is about.

However, with the right approach, it can be an incredibly powerful tool for extracting the essence of video content.

In this article we will discuss:
1. ChatGPT’s capabilities and limitations when working with YouTube video content
2. Three practical methods for summarizing YouTube videos using ChatGPT:
- Direct transcript copying and pasting
- Browser extensions and third-party tools
- Advanced API integration and custom scripts
1. Step-by-step instructions for extracting YouTube transcripts with real examples of the process and prompt engineering techniques you can try on your own.
2. Ideal use cases for different professionals, from students and marketers to content creators and researchers.
By the end of this guide, you’ll have a complete toolkit for leveraging ChatGPT to efficiently digest and extract key insights from YouTube video content and save time without watching hours of footage.

What ChatGPT Can and Can’t Do

Before we get into how ChatGPT can help you summarise that long Youtube lecture on dentures, it’s vital to understand its inherent capabilities and limitations.

What ChatGPT Can Do: Working with Text

ChatGPT’s power lies in processing and understanding written language. To summarise your Youtube videos, ChatGPT can:

Summarize YouTube transcripts if provided: This is its primary mode of operation for video content.

If you give ChatGPT the full text of a video’s dialogue, it can analyze it then generate a concise summary.

Interpret timestamps, captions, or scripts pasted into the chat: Beyond just raw transcripts, adding specific timestamps with brief descriptions or a pre-written script for a video in a ChatGPT prompt allows the AI to highlight key moments or summarize sections more effectively.

Generate summaries based on user-provided descriptions or notes: Even without a full video transcript, you can feed ChatGPT your own notes about the video such as what topics were covered, key arguments, important names, etc.

This helps it to structure and condense that information into a coherent summary.

What ChatGPT Can’t Do: Direct Video Access

Since ChatGPT is natively a text-based AI, it can’t perform the following:

Directly access YouTube: You can’t paste a YouTube URL into ChatGPT and expect an automatic summary.

This seemingly simple and direct approach does not work for ChatGPT.

It cannot process visual or auditory information directly from a video file or stream, meaning that the video’s visuals, tone of voice or background music can not be used to enrich a summary.

Here’s an example of what happens when you try to use a direct URL:

As shown below, ChatGPT did give me a summary as I asked but from an entirely different source (LinkedIn) and did not reference the actual video even after I cautioned against that in my prompt.

So, while ChatGPT is incredibly smart, it still requires your input or the use of an external tool to effectively summarize your Youtube videos.

How to Summarize a YouTube Video with ChatGPT: Your Playbook

With the background knowledge of how ChatGPT operates, let’s explore the practical methods you can use to generate useful YouTube video summaries.

Option 1: Copy and Paste the Transcript

This is the most direct method. It is simple enough to try out and requires no additional tools beyond YouTube and ChatGPT.

How to get a transcript from YouTube:
1. Open the YouTube video you want to summarize (in-app) .
2. Look for the “…” (three dots) icon below the video title, often near the “Share” and “Save” buttons. Click it.
3. From the dropdown menu, select “Show transcript”.
4. A transcript pane will appear on the right side of the video (or sometimes below it).
5. Click the “…” (three dots) within the transcript pane itself (usually at the top right of the pane) and select “Toggle timestamps” to remove the timestamps, which often clutter the text and can confuse ChatGPT.
6. Highlight and copy the entire transcript. You might need to click the first line, scroll to the bottom, hold Shift, and click the last line to select it all.
7. Paste the copied transcript into ChatGPT.
Once the transcript is in ChatGPT, you can then request your summary.

As with all AI prompts, keep it specific and well-detailed.

For example: “Summarize the key points of this video transcript in 3-5 bullet points.” or “Provide a comprehensive summary of the following lecture, highlighting the main arguments and conclusions in 300 words.”

Option 2: Use a Browser Extension or External Tool

Many third-party tools and browser extensions that can automate the transcript extraction process have emerged to bridge the gap between YouTube and ChatGPT.

How to work with these tools:

There is an efficiency to using these third party tools and extensions. They automatically recognize when you’re on a YouTube video page and they do the work for you.

Two ways they can get a video’s transcript is by automatically grabbing the transcript provided by YouTube’s API or using their own transcription service for the video.

Once the transcript is available, they send it to ChatGPT (often via the ChatGPT API which powers the extension) to generate the summary.

The final summary is then presented neatly within your browser or it directs you to a dedicated summary page.

Some of the popular tools include:
- YouTube Summary with ChatGPT: This is a very direct and widely used Chrome extension by Glasp.
It offers free access to YouTube transcripts and AI-generated summaries.

How to use: Once installed, when you open a YouTube video, a button or sidebar will appear (as shown in the image below) and with one click you can instantly get a summary generated by ChatGPT, often with timestamps.
- Meeting summarizers (e.g Eightify, NoteGPT, Monica, etc.): While these tools are primarily for meeting recordings, they offer YouTube integration.
They can extract transcripts, often with higher accuracy than YouTube’s auto-generated captions, and then leverage AI to summarize the content.

Option 3: Use the YouTube API or Third-Party Scripts

A more advanced approach involves using the YouTube Data API to programmatically pull video metadata and captions/transcripts.

This method gives you control over the data extraction and summarization process, allowing for custom filtering, cleaning and formatting of the transcript before it even reaches ChatGPT.

It is especially useful for those with coding knowledge or specific project needs and is ideal for large-scale video analysis or integrating summarization into other applications.

How it works:
- Developers can write scripts (e.g., in Python) to access YouTube’s API,
- Download the available captions (which often serve as transcripts),
- Then feed that text data into the OpenAI API (which powers ChatGPT) for summarization.
Case Study Examples: From Long Lecture Videos to Quick Insights

Take an instance where you are strapped for time but need to get quick industry insights about AI and marketing from a 30-minute video.

Without ChatGPT: You’d need to watch the entire video, pause, take notes and then manually synthesize the information. All of which sounds draining.

With ChatGPT : All you would have to do is get the full transcript of the TED Talk from YouTube then paste it into ChatGPT with the prompt: “Summarize this into bullet points, including timestamps for main sections”

Here is an example of the input and output version generated by ChatGPT:

Before (Full Transcript Snippet):

After (Bullet-point Summary with timestamps by ChatGPT):

You could also use prompts like: “Summarize this TED Talk transcript into a 3-sentence summary highlighting the speaker’s main argument and two key supporting points.”

or “Create a chapter-style breakdown with key takeaways for each segment.”

These specific prompts give you an output that is geared to the format you would like and control of how your answers look like in the final summary.

ChatGPT’s Limitations and Accuracy Concerns

While incredibly useful, ChatGPT summarization isn’t flawless:

Misinterpretation from unclear transcripts: YouTube’s auto-captions are generally 60–70% accurate, meaning roughly 1 in 3 words is wrong.

These inaccuracies are often due to poor audio quality, speaker’s accent, background noise or technical jargon.

This leads to ChatGPT summarizing transcripts with errors and giving you irrelevant content.

Limits with poor auto-generated captions: Some videos have no manually created captions, relying solely on YouTube’s AI which is never 100% accurate.

Context loss in long videos or fast-spoken content: Very long videos or those with rapid dialogue might exceed ChatGPT’s token limit for a single input.

The typical option of breaking them down into smaller chunks can lead to some loss of overall contextual flow and a total miss on the complex visual cues that are not verbally explained.

Oversimplification: To give a short summary, ChatGPT might sometimes oversimplify complex arguments.

This can lead to the loss of crucial nuances or intermediate steps, especially in technical or philosophical videos.

Ideal Use Cases

Being able to quickly summarize a video’s content is impactful and can be leveraged by many people for different purposes.

Who Benefits the Most?
- Students: Summarizing lectures, educational videos, and documentaries for study notes and revision.
- Professionals: Quickly grasping the essence of webinars, online courses, product tutorials, and industry talks without watching the full length.
- Marketers: Analyzing competitor video strategies, extracting key messaging from brand videos, or summarizing market research presentations for reports.
- Content Creators & Podcasters: Repurposing long video episodes into concise blog posts, social media updates, or show notes, significantly aiding in content distribution and SEO.
- Journalists/Researchers: Rapidly sifting through long interviews or public address videos to extract sound bites or key policy points.
Pro Tips To Master Prompts for Better AI Summaries

To get the most out of ChatGPT for video summarization, remember that prompt engineering is key:

Ask for summaries in different styles: Don’t just say “summarize.”

Try: “Provide a bulleted list of the main points,” “Give me a paragraph summary for a non-expert,” “Generate a TL;DR (Too Long; Didn’t Read) version,” or “Extract the top 5 actionable insights.”

Prompt ChatGPT to include specific elements: Ask for “main arguments,” “key statistics,” “actionable steps,” “speaker’s opinion,” or “next steps discussed,” and even “include timestamps” if the transcript you provide retains them.

Combine transcript with title description for better context: Give ChatGPT the video title and description alongside the transcript.

This provides additional context and helps the AI understand the video’s core theme, leading to more accurate summaries.

Break down long transcripts: If a transcript is too long for one prompt (due to token limits), break it into logical sections.

Summarize each section individually, then provide those summaries to ChatGPT and ask it to create an overarching summary from them.

Final Thoughts

By leveraging YouTube’s transcript feature or one of the many excellent browser extensions and third-party tools, you can effectively feed ChatGPT the information it needs to deliver quick insightful summaries.

This capability is a massive time-saver and a productivity booster for anyone who consumes video content regularly.

Whether you’re a student trying to ace an exam, a professional staying updated on industry trends, or a marketer looking for quick competitive intelligence, ChatGPT can help you stay ahead and transform how you interact with YouTube.

Don’t just watch more videos; understand them better and faster.

Start experimenting with ChatGPT’s Video summarizer and learn how to use intelligent prompts to upscale your output.
July 21, 2025
AI slop: How Can You Fix It?
The widespread adoption of AI content generation tools has introduced a concerning phenomenon: AI slop.

This term describes low-quality, generic and often incoherent content generated by AI systems without proper human oversight or refinement.

The increase in AI slop has created significant challenges across multiple domains.

Search engines struggle to distinguish between valuable, human-crafted content and algorithmically generated text that merely fills space.

Readers encounter increasingly frustrating experiences as they navigate through seas of repetitive, shallow content that fails to address their genuine needs and questions.

Content creators find themselves competing not just with human competitors, but with an endless stream of machine-generated material that can be produced at unprecedented scale and speed.

In this guide, we will explore:
- What constitutes AI slop
- Examine its various components and manifestations
- Analyze its impact on the content creation ecosystem
- Provide actionable strategies for creating high-quality content that stands apart from the algorithmic noise.
What is AI Slop?

The term AI slop emerged from the content creation community as a way to describe the noticeable decline in content quality that accompanied the mass adoption of AI writing tools.

AI slop is not just about grammatically incorrect or factually inaccurate content. It also describes content that lacks the depth, nuance and originality associated with human essence.

This type of content often feels hollow, repetitive and disconnected from genuine human experience or expertise.

What Makes Your Content Look Like AI Slop

Understanding the specific components that characterize AI slop is essential for creators who want to avoid producing such content. These include:

1. Generic and Formulaic Language Patterns

This is one of the most recognizable aspects of AI slop.

It includes overuse of certain phrases that have become synonymous with AI-generated content, such as “In today’s digital landscape,” “It’s worth noting that,” or “In conclusion, it’s important to remember.”

These phrases, while not inherently problematic, become markers of AI slop when they appear frequently and without purpose.

Additionally, AI slop often exhibits repetitive sentence structures, predictable paragraph organization, and a lack of varied vocabulary that would naturally occur in human writing.

Here is an example of one of the generic phrases in use on a live webpage:

2. Lack of Original Insight or Perspective

This type of content often rehashes widely available information without adding new analysis, personal experience or unique viewpoints.

In cases, where the content is factually accurate, it may fail to provide readers with anything unique that they couldn’t find in numerous other sources.

This in turn contributes to information redundancy for readers.

To indicate the lack of perspective, here is a brief example with markers of an AI response to a question about the importance of email marketing to a business:

3. Superficial Treatment of Complex Topics

Most AI systems often lack the deep domain expertise required to navigate complex topics appropriately.

The result is that complicated subjects are reduced to oversimplified explanations that miss important nuances and fail to address the subtleties, exceptions or contextual factors that human experts would naturally include.

Below is a screenshot example of how this kind of AI slop manifests:

4. Inconsistent Tone and Voice

This shows as sudden shifts between formal and informal language, inconsistent use of first or third person or tonal changes that don’t align with your brand’s purpose or audience.

An example, is the screenshot below of an introduction segment about Excel workflows (quite a serious topic).

As shown, the tone jumps from casual to formal which unless it is your preferred style to produce edgy content, is something to watch for.

5. Factual Inaccuracies and Outdated Information

Ever heard of AI “hallucinating answers”. A study shows that 42.1% of web users have experienced inaccurate or misleading content in AI Overviews.

This includes citations to non-existent sources, outdated statistics, or information that was never accurate to begin with.

These errors can often go unnoticed in cases where proper data verification is not done and may prove disastrous in real life applications.

Check this screenshot of how this inaccuracies might manifest in an AI-genereated content that requires data:

6. Excessive Length Without Substance

Sometimes these LLMs do generate verbose content that could communicate the same information more effectively in fewer words.

Especially for in-depth content, it might serve you a full page of additional words that do not add any meaning to the article.

The example below, for my article that required simple marketing hacks from ChatGPT, includes fluff (outlined in blue) that would make no difference to the article’s content when taken out.

7. Lack of Practical Application or Actionability

This is especially applicable for instructional or educational content.

AI often fails to provide concrete steps, real-world examples or give practical guidance that readers can actually implement, creating a disconnect between the content’s apparent educational value and its actual utility.

8. Inappropriate SEO Optimization

While using AI for SEO optimization can be a time saver, it might leave you with content that has keywords stuffed unnaturally and headings created solely for search engines rather than reader comprehension.

Example: “We offer digital marketing, SEO digital marketing, and digital marketing strategies in our digital marketing agency.” If you can hear the keyword when reading aloud and it sounds clunky or repetitive, it’s overused.

Impact of AI Slop on Content Creation
- Degradation of Content Quality Standards
As the internet becomes flooded with generic content, the baseline expectation for what constitutes acceptable content has shifted downward.

The abundance of mediocre content makes it more difficult for genuinely valuable content to stand out and reach its intended audience.
- Reduced Trust and Engagement from Audiences
Many users have developed a heightened sensitivity to content that feels artificial or generic, leading to decreased engagement rates, shorter time spent on content and reduced sharing behaviors.

This skepticism extends beyond obviously poor content to affect perceptions of all content, requiring creators to work harder to establish credibility and trust with their audiences.
- Search Engine Algorithm Adaptations
Search engines have begun implementing more sophisticated detection mechanisms and ranking factors that prioritize content demonstrating E-E-A-T, which is good challenge for content creators, who must now align their content to meet these quality standards.
- Information Saturation and Discovery Challenges
AI slop makes it increasingly difficult for users to find high-quality, relevant information.

This problem is particularly acute in educational and instructional content, where poor-quality information can have real-world consequences.
- Impact on Professional Industry
The availability of AI tools has led some creators to rely heavily on automation to create generic marketing copies that lead to loss of brand credibility and originality.

Conversely, successful creators have developed new skills in prompt engineering, AI collaboration and quality control.

Industry responses have varied, with many organizations implementing new editorial guidelines and content policies specifically designed to address AI slop.

Some platforms have introduced labeling requirements for AI-generated content, while others have adjusted their algorithms to better detect and deprioritize low-quality material.

How to Create High-Quality Content

Creating content that stands apart from AI slop requires a strategic approach that leverages AI tools effectively while maintaining human creativity, expertise, and judgment.

Here are some strategies to help you get a headstart in creating content that adds value:

Start with Human Expertise and Original Insight

Before touching any AI tool, invest time in learning your subject deeply.
- Stay updated on industry trends
- Conduct original research and studies
- Reflect on your personal experiences and technical expertise
- Document perspectives shaped by your own journey, things no AI or competitor could fabricate
Example:

Instead of “AI helps create informative content” in your article, go for “After leading 20 client workshops in fintech, I distilled insights into a guide on emerging compliance issues later refined using AI tools.”

Develop a Clear Content Strategy Before Writing
- Clarify who you’re writing for (Target audience)
- What challenges they face and what unique solution you’re offering
- Then build a brief that includes your main point, supporting arguments and the value your reader will walk away with.
Why it works:
Without this clarity, even advanced tools can lead you off track or toward generic fluff that do not reflect your authenticity as a brand.

Use AI for Research and Ideation Not Final Drafts

Use AI to brainstorm headlines, surface counterpoints or map out structural outlines.

Reserve the actual thinking; the opinions, conclusions and bold statements for yourself or brand perspective.

Instead of a flat response like this on your LinkedIn post “ChatGPT gave me a decent post on remote work” go for “I used ChatGPT to explore opposing views on remote productivity, then built a piece from my experience managing hybrid teams across 3 continents.”

Implement a Rigorous Fact-Checking Process
- When it comes to AI sources, trust but verify
- Cross-check data with primary sources like actual data from studies, dashboards etc.
Why it matters:
Accurate content isn’t just ethical, it’s also a signal of authority. Fact-checking improves your credibility and helps you learn the material more deeply.

Maintain a Consistent Voice and Tone

Even if AI drafts your first version, you must rewrite it to sound like you.

Your tone, humor, cadence and values should be present in every paragraph.

Why it matters:
People connect with people. A consistent, authentic voice builds trust, something AI-generated content often lacks.

Go Deep Instead of Broad

Avoid skimming topics. Instead, offer detailed analysis, practical examples and actionable tips on a specific angle of the subject.

As an introduction, “This post covers everything about marketing,” it is very general and lacks a certain hook for a reader.
Go for depth, e.g “This guide breaks down how micro-SaaS startups can use newsletter ads to grow their first 500 users.”

Incorporate Personal Experience and Case Studies
- Share what happened when you applied a tactic (objectives)
- Discuss what worked and what didn’t (KPIs)
- Share your opinions on what you’d do differently (Follow-up actions)
Why it works:
Readers want proof. Lived experience outperforms hypothetical advice and the details make your content resonate with your target audience.

Create a Quality Control Workflow
- Build in checkpoints before you publish
- Review for originality, clarity and alignment with your brand voice
- Ask a peer to point out what feels vague or too polished to be personal
Why it matters:
This added friction makes your content sharper and prevents generic phrasing from slipping through.

Engage in Continuous Learning

Commit to reading widely, writing often and upgrading your tools and knowledge to deepen your own expertise.

Take time to monitor or encourage feedback for your work and adapt accordingly.

Final Thoughts

Too often, we ignore the subtle warning signs in AI-generated content and skip the critical step of verifying what we read.

Success lies in understanding how to use AI tools strategically as enhancements rather than replacement of you.

The distinction between high-quality human-enhanced content and generic AI slop will likely become even more pronounced, as AI technology continues to evolve.

Creators and marketers who master this balance find themselves at a significant advantage by being able to produce higher-quality content more efficiently while maintaining the authenticity and depth that audiences value.
July 16, 2025