Brainstorm Meta Titles & Descriptions

Solving the Meta Title and Description Challenge

Creating compelling meta titles and descriptions that not only include the right keywords but also set your content apart is a task that many SEO professionals find challenging. Often, the meta elements of a page can blend in with generic approaches, making it hard to stand out in crowded search results. This app helps you brainstorm creative variations by analyzing top-performing pages and extracting words that appear frequently in meta tags.

Building the "Brainstorm Meta Titles & Descriptions" App

Step 1: Gathering SERP Data

The journey starts by tapping into search engine results using the SERPs Search node. Here, the user supplies a keyword, and the app fetches 50 web results from Google. This data includes important elements like title tags, snippets, and links, which serve as the foundation for further analysis.

Step 2: Analyzing Word Frequencies

The next step involves a custom Python function designed to process the SERP data. The code extracts meta titles and descriptions from the results, creating a list of words from both fields. It then calculates the frequency of these words—filtering out those that meet certain occurrence thresholds (words in titles appearing five or more times and words in descriptions appearing ten or more times). This step is crucial because it identifies key terms that competitors frequently use, giving you insight into common industry language.

Step 3: Generating Meta Titles and Descriptions

Two Chat Model nodes take center stage in this step. The first one generates title tag variations, and the second creates description variations. For titles, the prompt instructs the model to produce 10 versions based on the frequently occurring words, each under 65 characters. It then requests 10 additional versions that explore a different angle—ideas that diverge from the common approach to entice clicks with a unique twist.

Similarly, for meta descriptions, the model is prompted to generate 10 versions that incorporate the identified keywords, ensuring each is under 150 characters. It then produces another 10 descriptions with a distinct angle compared to the first set. This dual approach ensures that you have both standard and creatively differentiated options to choose from.

Customizing the App for Your Needs

• Adjust Frequency Thresholds: Depending on your niche, you may fine-tune the word occurrence thresholds in the Python function to capture more or fewer keywords.

• Tailor the LLM Prompts: Modify the instructions in the Chat Model nodes to vary character limits or adjust the creative requirements based on your marketing strategy.

• Integrate Competitor Analysis: Expand the logic by incorporating additional SERP analysis to compare your meta tags against competitors before generating new suggestions.

• Refine the Data Filtering Process: Enhance the Python code to include stop-word removal or phrase detection for a more nuanced understanding of the SERP data.

• Incorporate User Feedback: Loop in feedback from your SEO team to continually adjust the outputs and ensure the generated meta tags align with your brand voice.

Running the App at Scale

1. Prepare a CSV: Upload a file containing multiple keywords for which you want meta tags generated.

2. Map the Inputs: Ensure the CSV columns correctly correspond to the Keyword input of the app.

3. Initiate a Bulk Run: Run the app on all the keywords simultaneously. Each keyword will go through the SERP search, analysis, and generation steps, helping you build a comprehensive meta tag library quickly.

Build and Explore More AI SEO Tools

Moonlit Platform offers a versatile, no-code environment to construct AI-powered SEO tools. With this app, you can effortlessly brainstorm creative meta titles and descriptions that stand out in search results. Sign up for Moonlit Platform today, start building your own apps, and explore our library of tools to streamline your SEO and content workflows.