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How Our ChatGPT Search Works: Full Transparency on Data Sources

Full Transparency: How Our ChatGPT Search Really Works

We believe you deserve to know exactly how we check your website's visibility. Here's the complete technical breakdown of our ChatGPT search feature.

The Honest Truth About Our ChatGPT Search

When you run a "ChatGPT" search on GEO Butler, you might expect we're directly accessing ChatGPT's native search feature. We're not - and we want to be completely transparent about what we're actually doing and why.

Important Disclosure

Our "ChatGPT" search uses OpenAI's GPT-4 API to analyze Google search results. While this provides similar insights to ChatGPT's search behavior, it's technically an emulation rather than native ChatGPT search access.

How It Works Under the Hood

1

We Fetch Real Google Search Results

First, we use the DataForSEO Google Search API to get real, authentic Google search results for your query. This gives us the same organic search results that appear in Google.

2

We Send Results to GPT-4 for Analysis

We then send the top 8 Google results to OpenAI's GPT-4.1-mini model via the OpenAI Chat Completions API. We specifically instruct GPT-4 to analyze these results and provide a helpful answer with inline citations, similar to how ChatGPT search works.

3

GPT-4 Generates Analysis with Citations

GPT-4 analyzes the search results and generates a conversational response with numbered citations [1], [2], [3], etc., pointing to specific sources. This mimics ChatGPT's search behavior while using Google's data instead of ChatGPT's native search partnerships.

Where the Data Actually Comes From

Search Results: Google via DataForSEO

We use DataForSEO's Google Organic Search API to retrieve real-time Google search results. This is the same data you'd see if you searched on Google yourself.

View DataForSEO API Documentation

AI Analysis: OpenAI GPT-4.1-mini

We use OpenAI's GPT-4.1-mini model through their Chat Completions API. This model analyzes the Google results and generates helpful responses.

View OpenAI Models Documentation

Why We Use This Approach

You might wonder: why not use ChatGPT's native search feature? Here's why:

No Native ChatGPT Search API

As of January 2025, OpenAI does not offer API access to ChatGPT's native search feature. The web browsing capability in ChatGPT Plus is only available through the web interface, not the API.

More Transparent Data Sources

By using Google search results, we can show you exactly where the data comes from. ChatGPT's native search uses partnerships with various search providers (like Bing) but doesn't expose which provider was used for each query.

Consistent, Reliable Results

Using Google as our data source provides consistent baseline data across all our search types, making it easier to compare your visibility across different AI platforms.

How Authentic Is This Data?

Here's our honest assessment of authenticity:

Search Results: 100% Authentic

The Google search results are completely real and come directly from Google's search index via DataForSEO's official API. These are the exact same results you'd see searching on Google.

Authenticity: 10/10

AI Analysis: Emulated ChatGPT Behavior

The AI-generated response mimics ChatGPT's search behavior but isn't from ChatGPT's native search feature. However, since we use GPT-4 (the same model family), the analysis quality and style are very similar to what ChatGPT would produce.

Authenticity: 7/10 (Emulated)

Data Privacy and Security

Understanding how we handle your data is crucial:

  • OpenAI API Data Policy: By default, OpenAI does not train on data submitted through their API. Your search queries are kept for 30 days for abuse detection, then deleted.
  • DataForSEO: Search queries are processed in real-time and not stored long-term. The API simply returns Google's public search results.
  • Our Platform: We store your search results in our database so you can track changes over time, but we never share this data with third parties.

The Technical Implementation

For developers and technical users, here's a simplified view of our code (from search_functions.py):

Simplified Code Flow
def gpt_search(query):
    # Step 1: Get Google search results
    google_results = google_search(query)

    # Step 2: Send to GPT-4 for analysis
    response = openai.chat.completions.create(
        model="gpt-4.1-mini",
        messages=[
            {"role": "system", "content": "Analyze search results..."},
            {"role": "user", "content": f"Query: {query}\n\nResults: {google_results}"}
        ]
    )

    # Step 3: Parse citations and return formatted results
    return parse_and_format_response(response)

Comparing to Real ChatGPT Search

How does our approach compare to using ChatGPT Plus with native search enabled?

FeatureOur ChatGPT SearchNative ChatGPT Search
AI ModelGPT-4.1-mini via APIGPT-4 variants (web interface)
Search Data SourceGoogle (via DataForSEO)Multiple providers (Bing, others)
Response StyleConversational with citationsConversational with citations
TransparencyFully documented APIsSearch providers not disclosed
Tracking Over TimeFull history in dashboardNo tracking capability

Our Commitment to Transparency

We believe the GEO industry needs more transparency about data sources and methodologies. That's why we're openly sharing:

  • Exactly which APIs we use for each search type
  • Where the underlying data originates
  • How we process and analyze that data
  • The limitations and authenticity of each approach

Questions About Our Data Sources?

We're happy to discuss our technical implementation in more detail. Transparency builds trust, and we want you to have complete confidence in the data you're using to make business decisions.

References and Documentation