Sep 5, 2025

Visit any B2B tech conference and you will hear the same buzzwords over and over again: "scalable," "innovative," "reliable partner." Does that sound familiar?
This is exactly where AI can make a difference. By scanning competitors' messaging and content using AI, you can quickly identify:
- Overlap → where your story risks blending in. 
- Gaps → topics that no one else is claiming. 
- White space → opportunities to own a message before others catch up. 
Here’s how to set up your own AI scanner to map your competitors' messaging:
Step 1: Collect materials
- Competitors' press releases (last 12 months) 
- Blogs & LinkedIn posts 
- Reports or earned media such as newspaper articles 
- Your own recent press releases & web copy 
Save these as text files or URLs.
Step 2: Create a simple Custom GPT or project space
Use this prompt as a starting point:
"TASK: Compare messaging and content themes between these companies.
- Extract recurring keywords, phrases, and claims. 
- Group them into 5–7 main themes. 
- Highlight where our company overlaps vs. differs. 
- Identify white space: themes that competitors mention rarely or not at all. 
 Present results as a table: Competitor | Key Phrases | Themes | Notes."
Step 3: Apply the Messaging Map framework. Then ask GPT to classify the results according to this simple four-quadrant model:
- X-axis = Usage Frequency (low / high) 
- Y-axis = Differentiation (generic / unique to us) 
Here’s how to interpret the matrix:
- Upper right = crowded space (avoid). 
- Lower right = strong differentiators (double down). 
- Lower left = white space (claim early). 
Step 4: Translate to PR strategy
- Update your content and press materials to win white. 
- Adjust pitch angles to avoid crowded themes. 
- Tailor tone and word choice so that you stand out from competitors. 
💡 Takeaway: AI will not write your story for you. But it can help you quickly pinpoint where you can stand out and where it is crowded in terms of messaging.