DATED EXAMPLE
How to compare OpenAI and Gemini fanout locally
How can you compare OpenAI and Gemini for “best SEO tools” without inventing missing evidence?
The public fixture records the OpenAI side. The Gemini side must be run and compared locally: Google’s Search-grounding terms limit storage, analysis and republication of Grounded Results and Search Suggestions. The tool therefore does not manufacture or archive a Gemini transcript for this page.
01
Fixed protocol
- Provider
- OpenAI API
- Model
- GPT-5.6 Luna
- Tool
- web_search · low context
- Limits
- 8 searches · 500 output tokens
- Provider storage
- store: false
- Version
- native-fanout-tool/1.0.0
02
Observed queries
Original query strings from the API response. These are not post-run search ideas.
- best SEO tools 2026 US market SEO software comparisons official pricing features
- Semrush SEO toolkit official features pricing
- Ahrefs SEO tools official features pricing
- Google Search Console official SEO tools
Source domains on the search action
- ahrefs.com
- semrush.com
- help.ahrefs.com
- support.google.com
- semrush.ebundletools.com
- static.semrush.com
- images.g2crowd.com
- searchenginejournal.s3.us-west-1.amazonaws.com
- reddit.com
- youtube.com
- seo.com
- Input
- 12,905 Tokens
- Output
- 500 Tokens
- Estimate
- $0.0132
03
What this supports
- OpenAI exposed four queries in one search action.
- The branches covered a broad comparison, Semrush, Ahrefs and Google Search Console.
- Use the local history selector to run the same input with Gemini and compare query strings on your device.
04
What it does not prove
- No public Gemini result is shown.
- One OpenAI run does not measure model quality.
This example is not an independent model benchmark. It documents individual API observations under a published protocol and does not reproduce the ChatGPT or Gemini consumer interface.