If someone recommends AI-search services for your clinic, you should be able to understand what you’re buying, why it matters, and how progress will be assessed.
Darcy Sullivan of Propel Marketing & Design joined Chris Hutchins on The Signal Room to discuss local SEO, AI-search visibility, and how healthcare organizations can make more informed marketing decisions.
The conversation explored evaluating advice, keeping people involved in AI-assisted work, and connecting search strategy with the wider marketing plan.
Below, we’ve developed those themes into practical questions you can use with your team or a potential marketing partner.
Want to discuss your clinic’s priorities? Book a discovery call to explore whether our website and SEO services would be a good fit.
Watch Darcy Sullivan on The Signal Room
The article below includes additional guidance and clarifications alongside the interview’s themes.
1. What Problem Are We Trying to Solve?
“Improve AI visibility” is a broad objective. Start with the business problem behind it.
For example:
People cannot find clear information about an important service
Your practice is being described inaccurately online
Prospective patients reach your website but struggle to inquire
A new location has incomplete information
Your team cannot tell which marketing activities generate appropriate inquiries
Ask your marketing partner to explain how the proposed work addresses your particular problem.
A useful answer connects the work to your services, audience, and priorities. It should go beyond a general statement that AI is changing search.
2. What Work Will Actually Be Completed?
Ask for a scope you can understand.
Depending on the project, that might include reviewing existing content, improving service pages, correcting business information, addressing technical issues, or setting up measurement.
For each recommendation, ask:
What will change?
Why is that change a priority?
Who will complete it?
What does our team need to provide?
How will we know it has been completed?
Some work requires technical expertise. You should still receive a plain-English explanation of its purpose.
For more about how our services fit together, explore AI search optimization for clinics.
3. How Does This Fit With Our Existing SEO?
An AI-search proposal should account for work already underway.
Ask whether it improves existing pages or creates new ones, overlaps with another provider’s responsibilities, or changes your content priorities.
Google’s guidance says established SEO practices remain relevant to its AI search features. That makes coordination important: a separate label does not automatically mean you need an entirely separate body of work. Google’s AI-search guidance
Ask your team to identify what is already working, what is missing, and what needs verification before expanding the scope.
4. What Evidence Supports the Recommendations?
A polished report can contain suggestions that are irrelevant to your practice.
Ask the person presenting it to distinguish between:
A verified issue on your website
A requirement documented by a platform
A finding from your own performance data
A recommendation based on experience
An experiment whose outcome is uncertain
Experiments can be worthwhile. They should be described honestly.
Be cautious about promises that a particular phrase, page format, or directory listing will guarantee an AI recommendation.
5. How Will We Measure Progress?
Agree on the reporting before the work starts.
Possible measures include completed improvements, relevant search visibility, website engagement, inquiries, and booked appointments. Those measures answer different questions.
An appointment-button click signals interest. A submitted inquiry confirms contact. A booked appointment confirms scheduling. None should be presented interchangeably.
Ask:
What baseline are we using?
Which actions can we track?
How will we identify appropriate inquiries?
What cannot be measured reliably?
When will we review the findings?
Keep reports focused on decisions your clinic needs to make.
6. What Will Remain Unknown About Attribution?
Someone might encounter your practice in an AI answer, search your name later, and then call.
A single reporting tool may not reconstruct that entire journey.
Use website reporting, inquiry records, and patient-provided source information together, while acknowledging their limits.
Ask your marketing partner to explain what a report actually establishes. “Found us on Google” does not, by itself, distinguish an advertisement, a Maps listing, an organic result, or an AI-generated answer.
The goal is a more useful picture—not an appearance of certainty the data cannot support.
7. Who Reviews AI-Assisted Content?
If AI is part of the workflow, ask where human review occurs.
Your team should know who checks:
Service descriptions
Provider information
Clinical claims
Insurance and payment details
Locations and availability
Tone and accuracy
AI-generated material should be reviewed before publication. Google’s guidance emphasizes accuracy, quality, and relevance, including when generative AI is used. Google’s AI-content guidance
Clarify approval responsibilities so drafts do not become published claims without the appropriate review.
8. What Will Our Team Need to Do?
A project can stall when access, content, or approvals are unclear.
Before starting, identify who will provide account access, answer practice-specific questions, review drafts, and approve changes.
Ask which tasks are included in the fee and which remain your responsibility.
A workable plan should match the time your team can realistically contribute. It should also explain how delays affect the schedule.
Clarifications About the Interview
Reviews Should Remain in the Reviewer’s Own Words
The conversation discusses encouraging reviews that mention services or conditions.
Our current recommendation is to invite honest feedback without directing its content. Google prohibits requesting specific review content and selectively soliciting positive reviews. Do not ask patients to include keywords, treatments, conditions, or staff names. Google’s review policy
One Search Is Not a Complete Visibility Report
A search can show how your practice appears in that situation. It cannot establish consistent visibility across every location, question, or platform.
Record the context of any checks and avoid presenting one favorable result as proof of broad performance.
Channel Decisions Need More Than Traffic Counts
The interview discusses reviewing where marketing resources are spent.
Low website traffic alone is not enough to conclude that a channel has no value. Consider inquiries, appointment outcomes, costs, and other relevant evidence before reallocating resources.
Neither organic search nor paid advertising should automatically be assumed to produce better patients for every clinic.
Bring These Questions to Your Next Marketing Conversation
You do not need to become an AI-search specialist to ask for clear answers.
A useful conversation should leave you understanding the problem, proposed work, responsibilities, costs, and limits of measurement.
If those points remain unclear, ask for a simpler explanation before committing.
Want Help Defining Your Clinic’s Next Steps?
At Propel Marketing & Design, we help clinic owners connect website content, local SEO, and AI-search considerations with practical marketing priorities.
We offer defined SEO projects, website design, content support, and ongoing website management and SEO services.
We start by understanding your practice, what you want to improve, and what your team can realistically support.
Book a Discovery Call to discuss whether our services are a good fit.
