Answer-first: what to look at when a rival gets recommended and you don't
When an AI search engine names a competing speech-language pathology practice instead of yours, compare four things side by side: how deeply each site covers specific conditions and age groups, how many recent reviews each practice has, how complete and consistent each practice's structured business information is, and how clearly each site answers the exact question a parent or patient typed. The practice that answers faster, more specifically, and with more verifiable trust signals tends to get named. Fixing the gap starts with a direct, line-by-line comparison rather than a general website refresh.
AI answer engines such as ChatGPT, Gemini, Perplexity, and Google's AI Overviews pull from a mix of web content, structured data, and third-party trust signals to decide which local business to mention by name. Unlike traditional search results, there is no page of ten blue links to scroll through. There is often just one or two names. If a competitor's speech-language pathology practice is the one being named, the comparison work below tells you exactly why, and exactly what to fix first.
Auditing content depth on condition pages
Content depth means whether a page fully answers a specific clinical question, such as "does my toddler need speech therapy for a lisp" or "what does an evaluation for apraxia involve," rather than offering a generic services list. AI systems favor pages that read like a direct, complete answer to a narrow question, because that is easier to extract and quote than a broad marketing page.
Open your competitor's site and your own side by side, condition by condition. Look for pages dedicated to specific diagnoses (articulation disorders, childhood apraxia of speech, stuttering, aphasia after stroke, voice disorders) rather than a single "our services" page that lists everything in a few sentences. Check whether their pages explain what an evaluation involves, what age ranges they treat, what insurance or payment options they accept, and what a typical course of treatment looks like.
If your site has one paragraph on "pediatric speech therapy" and theirs has a dedicated page answering seven or eight distinct parent questions about the same topic, that is the gap an AI engine is detecting. The fix is not to write more marketing copy. It is to write pages that answer the specific questions a caller would otherwise ask your front desk: what age should therapy start, how many sessions are typical for a given condition, what happens in the first visit, and what progress looks like over time.
Comparing review volume and recency
Review volume and recency refer to how many patient or caregiver reviews a practice has collected and how recently those reviews were posted, across Google Business Profile and other platforms AI systems reference when judging local trust. A practice with a strong number of recent reviews signals to both patients and AI systems that it is active, trusted, and currently accepting new clients.
Pull up your competitor's Google Business Profile next to yours. Count total reviews, note the date of the most recent one, and scan for detail: do reviewers name specific conditions treated, specific clinicians, or specific outcomes ("my son's stutter improved after six months")? Detailed, recent reviews carry more weight than a large number of old, generic ones, because they demonstrate the practice is currently operating and delivering results people are willing to describe in detail.
If your last review is older than theirs, or your review count has stalled, that gap compounds over time. AI systems weighing which local provider to recommend are effectively asking "who has current proof of good outcomes," and a thin or stale review profile answers that question in your competitor's favor by default. Closing this gap means asking recently satisfied patients or caregivers for a review at the natural end of a successful treatment course, not sending a single mass request and hoping.
Checking structured business information
Structured business information is the consistent set of facts about your practice, name, address, phone number, hours, services, and credentials, published in a machine-readable format called schema markup and kept identical across your website, Google Business Profile, and directory listings. AI systems cross-check these facts before naming a business, and mismatches or gaps make a practice harder to recommend with confidence.
Compare your competitor's listed information against yours across every platform where you both appear: your own website's footer and contact page, Google Business Profile, Healthgrades or similar directories, and insurance network listings. Check for consistency in the exact business name, address format, phone number, and listed hours. Then check whether their website includes schema markup identifying them as a medical or healthcare business, listing services offered, and specifying accepted insurance.
Small inconsistencies, an old suite number, a phone number that differs between your website and your Google listing, a set of hours that has not been updated for a holiday schedule, create doubt that an AI system resolves by favoring the competitor whose information is clean and matching everywhere. If your competitor's name, address, and phone number match exactly across every platform and yours do not, that mismatch alone can be enough to tip a recommendation away from you.
Building a short catch-up list
A catch-up list is a short, prioritized set of concrete fixes drawn directly from the comparison above, ordered by which gap is most likely costing you visibility right now rather than by which is easiest to do. The purpose of the list is to turn the audit into action within weeks, not to create another long-term project that never gets finished.
Start by ranking the three sections above by size of gap. If your competitor has ten times the reviews you do, that is likely your biggest issue and should be addressed first. If your content is thin on two or three high-search conditions, list those exact pages by name rather than writing "improve content." If your business information is inconsistent on a specific directory, name that directory and the exact fix needed.
A useful catch-up list for a speech-language pathology practice often looks like this: write or expand pages for the two or three highest-demand conditions you treat but do not yet cover in depth, request reviews from the last several months of successfully discharged patients, correct address or phone mismatches on the directories where you are listed, and confirm schema markup on your website correctly names your services and credentials. Each item should be specific enough that you know the moment it is done.
Keep the list short. A list of twenty vague improvements gets ignored. A list of four specific, named fixes, each tied to a gap you personally verified against a named competitor, gets done.
The single strongest lever in this whole comparison is specificity: the practice that answers a narrow clinical question in detail, backs it with recent and detailed reviews, and matches its business facts everywhere it appears is the one AI systems can recommend with confidence, and confidence is what turns a search into a named recommendation.