AI SWOT Analysis for Marketers

Improve the speed, accuracy, and efficiency of this core marketing workflow with generative AI to effortlessly produce SWOT analyses.
example of an opportunity identified by AI during a SWOT analysis

With the introduction of artificial intelligence, creating a thorough SWOT analysis has never been more efficient. In this blog post we will provide example prompts and workflows to leverage AI for SWOT and competitive analysis, so marketers can quickly identify competitive points of difference. Let's begin transforming this classic framework into a high-performance marketing tool with AI.

SWOT analysis, which stands for "Strengths, Weaknesses, Opportunities, Threats", was first developed in the 1960s and has been a cornerstone of strategic planning across industries ever since. Why? SWOT is an excellent framework to identify competitive points of difference, inform product positioning, inspire marketing campaigns, drive development and innovation, prioritize resource allocation, refine branding, and more. 

For example, let's take Bark Bits, a fictional dog treat company. When bringing new, probiotic dog treats to market they might create a SWOT analysis that looks like this:

Marketers traditionally create a SWOT analysis through brainstorming sessions, market research, and data compilation. This occurs when bringing a new product or service to market, setting strategic goals, or evaluating performance, i.e. it is something that marketers do a lot.

Wouldn't it be great if artificial intelligence could speed up this process? 

Can AI do SWOT Analysis?

Yes, with the correct prompting artificial intelligence can produce an accurate and efficient SWOT analysis. AI-powered SWOT analysis leverages machine learning algorithms and natural language processing to analyze vast amounts of data from various sources, including market reports, social media, customer reviews, and competitor websites. This enables AI to identify strengths, weaknesses, opportunities, and threats with a level of comprehensiveness and speed that surpasses traditional manual methods.

How to Prompt AI to Create a SWOT Analysis

AI is only as smart as its knowledge base, which means the onus is on you to provide it with accurate context and source material. This means to conduct an effective AI-powered SWOT analysis, you need to provide both internal data from your company and external data about your competitors and the broader market landscape. The more robust and diverse your data sources, the more nuanced and valuable your AI-generated SWOT analysis will be. 

A well-informed SWOT analysis requires some combination of the following:

  1. Product or Service Information: Name, brand, price, positioning, and target audience.
  2. Internal Performance Data: Sales figures, market share, profitability, operational efficiency, customer reviews and brand perception.
  3. Marketing Strategy and Reach: Current marketing efforts, brand visibility, advertising performance, and audience engagement.
  4. Competitor Benchmarking: Top competitors and their products in your industry or space.
  5. Industry Trends: Current trends, market growth, and shifts in consumer behavior.
  6. Market Opportunities: Emerging market segments, technological advancements, unmet consumer needs, or geographic expansion.
  7. Economic and Regulatory Factors: Economic conditions, industry regulations, and potential legislative changes that could affect the business.
  8. Supply Chain Analysis: Supplier relationships, production capabilities, and any risks to the supply chain that may impact the product.
Do I really need to provide all these things? I thought AI was supposed to take care of the work for me. 

Every SWOT analysis requires three steps

  1. Research
  2. Analysis
  3. Takeaways

Currently you get the best results when you provide the research, and rely on AI for analysis and takeaways. However, if you want to shortcut the "research" step of SWOT with AI as well, at a bare minimum we recommend you provide the first three points to AI, as it is essential, publicly unavailable context. Then it is possible (but less accurate!) to simply lean on the publicly available knowledge on the internet for the AI to inform the remainder of the SWOT analysis.

After you have gathered your sources, you can begin uploading them to an AI tool like ChatGPT or Claude, and prompt it to identify strengths, weaknesses, opportunities, and threats.

Example AI Prompt to Identify Strengths

"Analyze our product launch strategy, early customer feedback, and the top three competitors in my industry to identify the top strengths  we can strategically leverage for greater success. Identify strengths that are unique and not immediately obvious to the average marketing professional."

Example AI Prompt to Identify Weaknesses

"Identify potential weaknesses in our product launch strategy, including areas where competitors may have an edge, challenges in our supply chain, or marketing approach. Try to be comprehensive and explain your reasoning behind each proposed weakness, as well as a suggested action to remedy the weakness."

Example AI Prompt to Identify Opportunities

"Based on current consumer trends and market demand, identify opportunities to position our new product for maximum growth and success. Only suggest opportunities that are feasible for a business of my size and budget."

Example AI Prompt to Identify Threats

"Analyze external threats that could hinder the success of our product launch, including competitor strategies, market conditions, or consumer sentiment. Prioritize identifying threats that will occur in the next 5 years, or that are easily preventable with the right steps."

AI Tools for SWOT Analysis

As you can see, AI-assisted SWOT analysis still requires some heavy lifting on the research side of things. So are there any SAAS tools out there that can provide an all-in-one solution to this incredibly common marketing need? 

1. IBM Watson Analytics

IBM Watson Analytics is a powerful AI-driven analytics platform that can be used for SWOT analysis among many other applications. It offers natural language processing capabilities, allowing users to ask questions in plain English and receive insights based on their data.

Key Features:

  • Advanced data visualization
  • Predictive analytics
  • Natural language query processing
  • Integration with various data sources

2. Microsoft Power BI with AI Insights

Microsoft's Power BI, when combined with its AI Insights feature, can be a potent tool for SWOT analysis. It can process large datasets and provide AI-driven insights that can inform each aspect of a SWOT analysis.

Key Features:

  • Real-time data processing
  • Integration with Microsoft suite and other business tools
  • AI-powered data insights
  • Custom visualization options

3. Crayon

Crayon is an AI-powered competitive intelligence platform that can be particularly useful for the external analysis parts of SWOT (Opportunities and Threats).

Key Features:

  • Automated competitor tracking
  • Market trend analysis
  • Real-time alerts on competitor activities
  • Integration with sales and marketing tools

As we look to the future, the integration of AI in marketing strategy will only deepen. By embracing these tools now, marketers can stay ahead of the curve, making faster, more informed decisions that drive business growth and competitive advantage.

So, are you ready to supercharge your SWOT analysis with AI? Start by exploring the tools and prompts recommended in this post, and start experimenting.

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