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You use ChatGPT to plan content, review proposals and organise research. When checking whether AI recommends your business, you naturally start there.
Your prospective customers may encounter AI through a different route: a Google search, the Gemini app or an assistant integrated into their device.
Your preferred AI tool gives you one place to begin. Include the experiences your audience uses to research services, compare options and make decisions.
Google’s collaboration with Apple gives you another reason to assess Gemini’s role in that journey.
What the Apple Partnership Means for Gemini AI Visibility
In their January 2026 joint statement, Apple and Google announced a multi-year collaboration. The next generation of Apple Foundation Models would use Google’s Gemini models and cloud technology to support future Apple Intelligence features, including a more personalised Siri.
Apple’s subsequent architecture announcement described models developed with Google for integrated Apple Intelligence experiences, with processing on devices and through Private Cloud Compute.
The commercial significance is distribution. People can encounter AI capabilities through products they already use, without deliberately choosing a particular model.
If you offer digital-skills training, investigate where prospective learners ask for help choosing a course.
Use customer enquiries and discovery conversations to decide which experiences to review.
One Model Family With Several Customer Experiences
Keep the Gemini app, Google AI Overviews, Google AI Mode and Apple’s assistant experiences separately labelled in your research.
Each product can present information through its own interface, available sources and user context. An appearance observed in Gemini establishes a finding about that Gemini response. Siri requires its own observation.
The same distinction applies to tracking reports. A dashboard covering Gemini provides evidence within that report’s scope. It cannot establish how your business appeared in an unmonitored Apple interaction.
Create a simple record of the experience, question, date, location where available, and answer received. This preserves the context behind every finding.
Our guide to building a multi-platform search strategy explains how to organise discovery research across different customer touchpoints.
Follow a Learner’s Decision
If you offer live digital marketing courses, your prospective learners might ask:
- Which online courses teach digital marketing through live classes?
- Where can a beginner get feedback on practical marketing assignments?
- Which programmes fit someone working full-time?
Use questions collected from genuine enquiries to choose the topics you investigate. Include constraints that influence the decision, such as schedule, support, location and cost.
Review your course pages and check whether they clearly explain:
- Who the programme serves.
- What learners will practise.
- Whether sessions are live or recorded.
- The timetable and time zone.
- How feedback and support work.
- Fees, prerequisites and enrolment steps.
These details give prospective learners a firmer basis for comparison and provide clearer information for systems retrieving the page.
Investigating Gemini AI Visibility in Context
Once your course information is clear, examine how your business appears in available Gemini results.
In Semrush’s Visibility Overview, review the Gemini platform view and relevant topics available for the analysed domain.
Open a full response to inspect the brand description, cited sources and update date.
Check for discrepancies such as a course being described as self-paced when you currently offer live teaching.
Follow the cited page. Check whether the wording comes from an old course page, an external directory or another source requiring investigation. Record the discrepancy and assign the correction to the appropriate owner.
For questions that matter to an ongoing campaign, Semrush’s Prompt Tracking supports custom monitoring on Gemini. Keep the question set stable during the review period and inspect saved responses when mentions change.
Our recent article on tracking AI brand recommendations explains how repeated observations help you interpret fluctuating answers.
Keep Your Search Foundations Healthy
Course pages still need to be accessible, understandable and maintained.
For appearances in Google AI Overviews and AI Mode, Google’s guidance says supporting pages must be indexed and eligible to appear in Search with a snippet. Its established SEO practices remain relevant, and inclusion is never guaranteed.
Review important pages for inaccessible content, outdated dates, unclear descriptions and broken enrolment links. Confirm that the information learners need is available in readable text.
For claims about teaching quality or learner outcomes, provide verifiable evidence and enough context to interpret it. Our article on original content in SEO explores how first-hand examples and documented experience can strengthen useful content.
Keep the review focused. A clearly described course with a functioning enrolment journey gives you a sound starting point for further investigation.
Build Gemini Into Your Next Visibility Review
Gemini’s expanding distribution makes it worth assessing within your audience’s discovery journey.
Choose one commercially important offer, collect the questions prospective customers ask and review how that offer appears in the available experiences. Record inaccuracies, inspect their sources and maintain the pages people use to evaluate your business.
You can try Semrush One free for 7 days to explore Gemini monitoring alongside your SEO checks.
Give your next visibility review a seat beyond your favourite chatbot.
Build the review into your regular marketing routine. Keep the questions, observation dates, sources and corrections together so you can revisit the evidence.
Use that record to prioritise inaccurate descriptions, strengthen important course information and decide where your next hour of visibility work belongs.
