DATED EXAMPLE
How to compare OpenAI and Gemini fanout locally
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.
Use the guide to keep settings fixed and understand what the saved local comparison can actually show. Compare OpenAI and Gemini step by step.
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
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 — not mapped to individual queries
- 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
Operator reading
This section interprets the observation. It is not a field returned by the provider.
- 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.
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.
View the planned monthly topic set
Test the workflow yourself
The observations were collected on 27 August 2026. These instructions were added on 9 October 2026. A new run can expose different queries and sources.
- Enter best SEO tools; choose United States, English and OpenAI for the first run.
- Run the same topic with Gemini and the same locale. Optional local saving removes restricted Gemini grounded source data.
- Select both saved runs and compare their exposed query strings. Keep errors, zero queries and exact model names visible; this is a new comparison, not a reproduction of an identical result.
A related control case: Why does the same keyword produce different queries?.