Find First-Hand Experience

Finding genuine first-hand experience and opinions can be challenging when most online content is filled with duplicate or corporate sources. First-hand experiences are crucial because they provide authentic insights from people who have actually used or experienced a product or service. This app is crafted to help you track down those valuable, real reviews with advanced Google search operators.

Building the "Find First-Hand Experience" App

Setting up the Input

The app begins by allowing the user to enter a topic or query related to what they are interested in investigating. The "SME Topic Query" text input is the first step where you simply specify your search subject and any particular nuances you’re interested in.

Step-by-Step Walkthrough

Step 1: Crafting an Advanced Search Query

The first logic step employs a Chat Model specifically tuned to be a Google Search Operator expert. It takes the topic provided by the user and constructs a sophisticated search query. This query leverages advanced operators like "review", "author", and exclusions to ensure that only genuine, first-hand experiences are retrieved. The prompt is carefully designed to capture sentiment—whether the experience is positive or negative—while keeping the search query broad enough yet specific to avoid overwhelming results.

Step 2: Retrieving Google Search Results

With the advanced query in hand, the app uses the SERPs Search function to fetch up to 50 results from Google’s web search. This fetch is configured to yield a broad set of results, ensuring that you have a wide pool of both firsthand accounts and expert opinions to sift through.

Step 3: Sorting the Search Results

The results from the SERPs Search are then passed onto another Chat Model that re-sorts the JSON data. This step is essential because it prioritizes listings that explicitly mention named authors in the rich snippet, followed by those with author information in secondary snippet columns, and finally the rest. This reordering assures that the most credible and personal experiences are placed at the top.

Step 4: Curating a Readable List

Finally, the app uses a further Chat Model to curate the sorted JSON data into a human-readable list. The model extracts the 10 most helpful and relevant entries that clearly showcase first-hand experience with summarized details. Each entry includes the first name (and last name, if available), along with a full URL for reference and a brief explanation of why the experience is notable. The output is formatted in Markdown to enhance readability.

Customization

• Adjusting Query Complexity: You can modify the prompt in the first Chat Model to include additional search operators or adjust the limit on word count to better fit your specific topic.

• Refining Result Sorting: The sorting instructions in the subsequent Chat Model can be tailored to prioritize other factors such as recency or domain authority.

• Curated Output Format: The final Markdown output can be easily reformatted to include more details, such as user ratings or additional context provided by the sources.

• Filtering Mechanisms: Customize which columns to exclude or include based on what you need to see in the final curated list.

Running the App at Scale

1. Creating a Bulk Job: Head over to the Bulk Runs section on Moonlit Platform and start a new job.

2. Uploading Your Data: Upload a CSV file containing multiple SME Topic Queries in a column. Each row represents a different search objective.

3. Mapping Input Fields: Ensure that your CSV columns are mapped correctly, with the search query column matching the "SME Topic Query" input.

4. Executing the Job: Run the job to process all the topics in parallel, allowing you to obtain curated first-hand experience results from multiple queries at once.

Build and Explore More AI SEO Tools

Moonlit Platform offers a comprehensive, no code playground where you can build automation tools tailored to SEO and content workflows. If you're looking to find and showcase first-hand experiences or need to get insights from genuine user reviews, sign up for Moonlit Platform and start creating your own custom apps today.