Revolutionizing Marketing: AI Identifies Gaps in Buyer Journey

AI-Powered Gap Analysis is a method used by marketers to identify missing elements or 'gaps' in content at different stages of the buyer journey. By leveraging artificial intelligence, marketers can spot holes in their content strategy, audit deliverables, and discover topics or keyphrases that are absent but potentially valuable for their audience. AI excels at this task because, unlike humans, it can efficiently process vast amounts of data and recognize what's not there, which is a challenge for the human brain due to cognitive biases like WYSIATI (What You See Is All There Is).

To use AI for gap analysis in content marketing, you can follow these steps:

1. Identify missing topics: Use AI to analyze big blogs and media sites to find topics that are rarely covered but could interest your audience.
2. Discover missing keyphrases: Utilize tools like Google Search Console and AI to find keyphrases for which your content ranks but could rank higher.
3. Find missing articles: Analyze your blog performance data with AI to suggest new topics that are related to your existing content.
4. Spot gaps in guides: Upload your long-form content to AI to determine important topics that were not included.
5. Check for unanswered questions: Use AI to evaluate service pages against a persona profile to identify gaps in information that could prevent conversions.

Using AI for SEO gap analysis offers several benefits:

• Efficiency: AI can process and analyze large datasets quickly, saving time on manual research.
• Comprehensiveness: AI can identify gaps that might be overlooked due to human cognitive biases.
• Improved Content Strategy: By finding missing topics and keyphrases, AI helps create content that fills those gaps, potentially improving search rankings and user engagement.
• Conversion Optimization: AI can suggest improvements for service pages by identifying unanswered questions or objections, thus potentially increasing conversion rates.
• Innovation: AI can do tasks that are otherwise impossible for humans, such as reading all content on the internet in a vertical to summarize what's missing.

To perform a keyphrase gap analysis using Google Search Console (GSC) and AI, follow these steps:

1. Export the Queries report from GSC with metrics like Total Clicks, Impressions, CTR, and Average Position.
2. Filter out branded queries and focus on the specific URL you want to optimize.
3. Upload the data to an AI tool like ChatGPT Plus and have it clean and merge similar queries.
4. Provide the AI with the text from the page and ask it to evaluate keyphrase usage and frequency.
5. Use AI to suggest SEO edits that improve the relevance for the keyphrases in the dataset, focusing on content flow and quality.

To find missing content opportunities for a blog using AI, you can:

1. Export your blog post titles and performance metrics from Google Analytics 4 (GA4).
2. Clean the data by removing irrelevant rows and brand names from title tags.
3. Upload the cleaned data to an AI tool.
4. Ask the AI to infer topics from the titles and perform a semantic distance analysis.
5. Request the AI to recommend new topics and articles that are related to existing content but not yet covered.
6. Use AI to predict the performance of these topics and prioritize them based on the likelihood of success.