Yes, if new patients or referring physicians ever describe your practice in a search box or type a question about a diagnosis into ChatGPT, Gemini, or Perplexity before calling anyone. A small hematology-oncology practice does not need a large marketing operation to be worth the investment; it needs a clear, accurate presence in the sources these tools pull from. The real question isn't whether to invest, but how much effort matches your patient volume goals.
Why practice size does not exclude you from AI answers
AI search tools do not rank practices by staff count or advertising spend the way traditional paid search once did. They pull from what is publicly verifiable: your website content, directory listings, patient reviews, and structured data (schema markup, the code that labels your specialties, providers, and locations for machines to read). A solo hematologist-oncologist with accurate, specific information online can appear in an AI answer alongside a large cancer center if the large center's information is thinner or outdated.
This matters because the assumption that "we're too small to compete" is often backward. Large systems frequently have generic, corporate-level web content that does not answer specific questions well: what a patient asks after a new diagnosis of chronic lymphocytic leukemia, whether a practice offers outpatient infusion, or if a provider treats a rare subtype. A small practice with precise, well-organized answers to those exact questions can out-perform a much bigger name in an AI-generated response.
These are the exact details AI engines assemble into an answer, and vague or missing information means being left out entirely.
Referral language deserves particular attention. Primary care physicians and other specialists often search using clinical terms (multiple myeloma, myelodysplastic syndrome, iron deficiency anemia workup) rather than the plain-language terms patients use. If your website and profiles only describe your practice as "oncology and hematology services" without naming the conditions and treatment modalities you actually handle, an AI engine has little to work with when someone asks a more specific question. Practices that list conditions treated, treatment types offered, and typical time-to-appointment in plain text tend to surface more often in these answers, because that language matches both patient and physician phrasing.
Patient-facing questions about practical logistics also carry outsized weight: whether a second opinion consult is available, whether the practice accepts a given insurance network, and whether same-week appointments exist for urgent referrals. These are the questions people ask an AI assistant when they are anxious and want a fast, concrete answer, and a practice that answers them clearly online is far more likely to be the one named.
What happens if you wait
Delaying attention to AI search visibility does not freeze the situation in place; it lets other sources fill the gap. If your practice's information is thin, outdated, or inconsistent across your website, Google Business Profile, and physician directories, AI tools either omit you from their answers or, worse, generate an answer using outdated or incorrect details pulled from an old listing. Patients making a decision about cancer care are unlikely to double-check information; they act on what the answer tells them.
The vertical-specific risk is timing. Oncology and hematology referrals often happen under time pressure, right after a concerning lab result or imaging finding. A referring physician or anxious patient searching in that moment is choosing quickly, and an incomplete or absent presence in an AI-generated answer means losing that referral to whichever practice's information was clear enough to be included. Waiting does not preserve your current position; it just gives competitors more time to become the answer instead of you.
A reasonable starting point
A small oncology practice does not need to overhaul its entire online presence to see a difference. The starting point is verifying that the basic facts an AI engine would need to describe your practice accurately are correct, complete, and consistent everywhere they appear: your website, Google Business Profile, hospital or health-system directory listing, and any physician-review platforms. Inconsistent addresses, outdated provider lists, or missing condition-specific pages are the most common reasons a practice gets skipped over in an AI-generated answer.
From there, the next reasonable step is making sure your website answers the specific questions patients and referring providers ask, in their language, rather than only describing your practice in general terms. This does not require a large content effort. Practices that get these specifics right tend to see the return on this effort well before they see it from broader marketing spend, because AI search visibility is often a matter of correcting gaps rather than building something from scratch.
Check your own visibility before deciding anything else
Before deciding how much to invest, answer these questions honestly about your own practice:
- If you typed your practice's name and specialty into ChatGPT or Gemini right now, would the answer be accurate and complete?
- Is your provider list, address, and referral process identical across your website, Google Business Profile, and any hospital or directory listing?
- Could a referring physician find, in under a minute, how quickly a new patient can be seen after a referral?
If any answer is "no" or "not sure," that gap is the actual starting point, not a broader marketing campaign.