Check SERP Similarity

Understanding SERP similarity is key for SEO professionals who aim to compare and optimize how queries interact with search engine result pages. This tool, Check SERP Similarity, helps evaluate if two different queries yield similar sets of results, sharing common search intent and even overlapping webpages. It also offers insights on key components like title tags, meta descriptions, and URL structures. The app provides reliable suggestions on whether two queries can be targeted on a single page or should be handled separately.

Building the "Check SERP Similarity" App

Setting up the Inputs

• The app starts with two text inputs where you input Query 1 and Query 2. These form the basis of the comparison and guide the subsequent search processes.

Step 1: Gathering Data with SERP Searches and a Chat Model

• Two separate SERP Search functions fetch the top three web search results for each query. One function handles Query 1 while the other manages Query 2. These results include titles, snippets, and URLs that give context to the query’s search landscape.
• A Chat Model function then takes over with a carefully crafted instruction set. This model evaluates how similar the search results are by comparing aspects such as search intent (transactional, shopping, informational, or navigational), overall content overlap, and even the common words in title tags and meta descriptions. The model also advises whether the two queries should be pursued on one page or split into two, ensuring strict adherence to overlapping result criteria and uniform search intent.

Step 2: Overlap Analysis for Precise Matching

An additional Chat Model function refines the analysis by focusing on overlapping results. It scans the results from both queries to identify any exact title matches. If found, these overlapping titles are listed, providing a clear picture of the degree of similarity. If no overlap exists, it clearly indicates the absence, reinforcing that the queries might not be suitable for a single combined page.

Customizing the App for Your Needs

• You can adjust the number of SERP results fetched for each query if you’d like more data points or a wider comparison base.
• The prompt provided to the Chat Model can be tailored further—for instance, altering the instructions to focus on additional elements such as snippet analysis or domain-specific trends.
• You might also modify the analysis criteria, such as weighing certain aspects of the search results or changing the thresholds for overlap.
• Experimenting with different LLM models available on Moonlit Platform could offer alternative perspectives or even better alignment with your SEO strategy.

Running the App at Scale

1. Upload a CSV file containing multiple pairs of queries using the Bulk Runs feature.

2. Map the columns to ensure Query 1 and Query 2 are correctly identified.

3. Execute the bulk run to process each pair through the SERP similarity analysis simultaneously, saving considerable time especially when managing large datasets.

This solution streamlines the process of determining SERP similarities, enabling you to make informed decisions about content targeting and page optimization. Sign up for Moonlit Platform to start building your own apps and explore the full potential of these tools in your SEO workflows.