DATED EXAMPLE
How much does country change fanout queries?
In this pair it did. The Germany run explicitly added Sistrix and German-market wording; the US run did not. This is a direct observation of two runs, not proof that every future run will behave the same way.
The guide separates country context, language and ordinary repeat variation before you infer a cause. Control country and language in a fanout comparison.
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
- best SEO tools 2026 comparison Semrush Ahrefs Sistrix Screaming Frog Google Search Console Germany DE market
- official Semrush SEO toolkit features pricing 2026
- official Ahrefs SEO tools features pricing 2026
- SISTRIX official SEO tool features Germany pricing
Source domains on the search action — not mapped to individual queries
- sistrix.de
- semrush.com
- sistrix.com
- help.ahrefs.com
- ahrefs.com
- gemprogrammers.com
- static.semrush.com
- images.g2crowd.com
- reddit.com
- searchenginejournal.s3.us-west-1.amazonaws.com
- youtube.com
- Input
- 12,797 Tokens
- Output
- 500 Tokens
- Estimate
- $0.0132
Operator reading
This section interprets the observation. It is not a field returned by the provider.
- Both runs exposed four queries.
- Only the Germany run named Sistrix in the query set.
- The source-domain sets also differed, including sistrix.de and sistrix.com for Germany.
What it does not prove
- Only one run per country.
- Country was prompt context, not verified user geolocation.
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.
- Run best SEO tools with OpenAI, English and United States. Record the model and timestamp.
- Repeat with Germany and keep the topic, provider, exact model and English language unchanged.
- Compare wording and source scope separately. Another repeat can differ even without a country change; two runs do not isolate a general country effect.
A related control case: Why does the same keyword produce different queries?.