Improving Gemini visibility starts with relevant evidence, clear company identity and sources the product can use. Earned coverage matters when it contributes something useful to the question; a prestigious placement alone does not settle that.
Google also gives publishers a control worth understanding before treating every outlet as equally available for Gemini grounding.
What Google-Extended controls
Google's crawler documentation describes Google-Extended as a control over whether crawled content may be used to improve Gemini models and for grounding in specified Gemini products. It is separate from Google Search inclusion and ranking.
Check the current documentation and the relevant site's robots.txt. A full disallow is a material access constraint. It is not a complete explanation of every citation you may observe, nor evidence that the publisher has disappeared from Google Search.
Robots rules can change. The particular hostname and applicable rule group matter. A copied list of “Gemini-friendly outlets” is a poor substitute for inspecting the current source.
Keep Gemini and Google AI search separate
Gemini, AI Mode and AI Overviews are not interchangeable measurement surfaces. Google Search's AI guidance retains the usual indexing and snippet eligibility requirements for supporting links in AI Mode and AI Overviews.
Measure the product your audience uses. Do not combine a Gemini observation with a Google Search observation and label the blend one stable ranking.
Choose sources for relevance as well as access
An allowed source still has to be useful. Inspect the questions your buyers ask and the evidence Gemini returns. A trade publication with detailed coverage of a use case may contribute more to that question than a general profile elsewhere.
Make your own product facts and supporting documents clear too. Independent reporting can corroborate a claim, while the company remains the right first-party source for current specifications and official information.
The Machine Relations Index provides broader source-pattern context. Use it to investigate, not as a list of placements that guarantee inclusion.
What I would do before the next campaign
Save a baseline of relevant Gemini questions and their citations. Check the accuracy and accessibility of your own evidence. Review prospective outside sources for subject fit, actual reporting and current access controls.
Earn coverage that contains a specific, supportable claim. Then repeat comparable observations and read what the engine actually says. A citation and a correct recommendation are separate outcomes.
That keeps the campaign attached to the broader PR-to-AI-search mechanism while respecting Gemini's particular source conditions.
About the author
Jaxon Parrott founded AuthorityTech in 2018 and coined Machine Relations in 2024. He writes about earned authority, AI discovery and founder judgment.
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