Quick answer
This AI visibility case study covers Spectrum Sensory Gyms and Fun Factory Sensory Gym. In April 2026 we ran buyer prompts in ChatGPT and Google AI Overviews across local, national, commercial and residential queries. The dated screenshots and the site playbook below show what came back and what we changed on those client sites.
Quick answer
This AI visibility case study covers Spectrum Sensory Gyms and Fun Factory Sensory Gym. In April 2026 we ran buyer prompts in ChatGPT and Google AI Overviews across local, national, commercial and residential queries. The dated screenshots and the site playbook below show what came back and what we changed on those client sites.
If you run an ABA clinic or an OT practice, the way buyers find you has already changed, and most marketing agencies have not caught up. A parent looking for therapy services or a clinic owner shopping for vendors does not always start at Google anymore. They open ChatGPT or rely on Google AI Overviews, and they get a recommendation served up before they ever scroll to a list of organic results.
If your business is not the answer the AI gives, you are not in the conversation.
This is the problem we built Driftlss to solve. We are an ABA marketing agency and healthcare web design partner that specializes in AI visibility for ABA clinics, OT practices, and other therapy providers. The case study below shows dated April 2026 checks for two clients in the same niche, including where they appeared in ChatGPT and Google AI for buyer queries their customers were already running.
The two clients
Spectrum Sensory Gyms and Fun Factory Sensory Gym are both Wisconsin-based companies that design, build, and install custom sensory gyms for therapy clinics, schools, and homes. Their buyers are exactly the kind of people Driftlss helps reach: parents of neurodivergent children, occupational therapists running their own practices, ABA clinic owners building out new locations, and special education program directors. On their own install work, deal sizes for these client companies typically land between $10,000 and $50,000 depending on scope. Those ranges are the clients' project pricing, not Driftlss fees. That puts each AI citation in front of someone making a serious purchase decision.
Both companies came to Driftlss wanting real visibility in a market that does not lend itself to traditional Google rankings alone. The category is too specialized, the buyers do too much research, and a growing share of those buyers were starting their search inside an AI tool rather than a search bar. The same dynamic plays out for any therapy practice or ABA clinic that depends on referrals and word of mouth, which is why this case study generalizes beyond the sensory gym category.
Why ChatGPT not recommending your business is a real problem
Healthcare and wellness searches are some of the most likely to show an AI answer at the top of Google. Parents searching for therapy, sensory gyms, and pediatric care now often see a short AI summary before they ever see a list of websites.
The practical shift is still qualitative. When a parent or clinic owner asks an AI assistant for a recommendation and gets two specific company names back, they are no longer choosing between ten options. They are choosing between two. Owning those slots is different work from classic blue-link SEO alone.
Why we tested both ChatGPT and Google AI
ChatGPT and Google AI pull from different sources and weight signals differently. ChatGPT leans on a mix of structured web content and citations from authority sites, and tends to write more opinionated, recommendation-style answers. Google AI Overviews pull from the Google search index directly, which means traditional ranking signals like reviews, business listings, and on-page schema carry more weight. A company has to perform across both classic SEO and newer Generative Engine Optimization factors to show up consistently.
Ranking on one engine is interesting. Ranking on both is the proof that the underlying methodology is sound, because the same content has to satisfy two different extraction algorithms with two different sets of preferences.
What we tested and what came back
We ran a set of buyer-intent prompts across ChatGPT and Google AI, covering local searches, national searches, generic category searches, full conversational buying decisions, and the two real-world buyer segments that matter most: clinics shopping for commercial installs, and parents shopping for residential builds. The screenshots below are unedited and were captured in April 2026.
Query 1: "What are the best sensory gym installers in Wisconsin?" (ChatGPT)
This is the localized buyer query, the kind a clinic owner or school administrator types when they are scoping out vendors. Spectrum Sensory Gyms returned as the #1 recommendation, with Fun Factory Sensory Gym as #2.
ChatGPT: Spectrum #1, Fun Factory #2 for the Wisconsin installer query. The AI did not just list them. It generated positioning language for both companies, calling Spectrum "one of the few true turnkey installers in Wisconsin (not just resellers)" and crediting Fun Factory with "25+ years of experience" and a "strong reputation in the special needs therapy space." That framing was synthesized from publicly available content that we structured specifically for this kind of extraction.
Query 2: "What are the best sensory gym installers in the USA?" (ChatGPT)
Pulling the geography out of the query is where most regional companies lose visibility. National searches typically favor large generalist suppliers and equipment manufacturers, and a Wisconsin-based installer should not be expected to land in the top two against companies operating in fifty states.
Both clients did anyway.
ChatGPT: Fun Factory #1, Spectrum #2 for the national USA query. The order flipped on this one, with Fun Factory taking the top slot and Spectrum landing at #2. We see this as a credibility signal more than a problem, because it shows the AI is making contextual judgments rather than defaulting to a static ranking. When the query is about scale and longevity, the company with 25+ years of history wins. When the query is about a turnkey buying decision, the more clinically focused option wins. Both lanes are owned.
Query 3: "Who installs sensory gyms?" (ChatGPT)
This is the broadest possible version of the query, with no geography, no qualifier, and no buyer signal beyond the verb. It is the kind of question someone asks when they are at the very beginning of their research and have not yet narrowed anything down.
ChatGPT: Fun Factory and Spectrum lead the "Full-service" category ahead of every other named competitor. ChatGPT structured its response by category here, splitting installers from manufacturers and resellers. Both clients took the top two positions inside the most valuable category, which is full-service design and installation. Royalty Sensory Gyms and Equip My Gym appeared below them, and equipment manufacturers were grouped separately further down the page. For a buyer comparing options, the AI is effectively pre-qualifying Spectrum and Fun Factory as the only two companies worth a real conversation.
Query 4: "Best sensory gym installer for commercial purposes?" (Google AI)
This is the B2B clinic-owner query. An ABA practice owner, a pediatric therapy clinic, or a school administrator with budget to allocate types this exact kind of search when they are ready to spend. Google AI returned a synthesized recommendation that named Fun Factory and Spectrum among the leading commercial installers, alongside another installer in the same answer.
Google AI: Fun Factory #1, Spectrum #2 for commercial installations, with both companies named in the synthesized lead paragraph. Notice the language Google AI is generating in the lead paragraph. It is not just listing companies. It is synthesizing them into a single sentence that frames Fun Factory and Spectrum as the leading installers for therapy clinics, schools, and hospitals nationally. For a clinic owner skimming results, that single paragraph is doing more sales work than a dedicated landing page would. Both companies are being recommended in the most valuable surface on the entire Google search results page.
Query 5: "Best sensory gym installer for homes?" (Google AI)
Same engine, different buyer. This is the parent at the kitchen table on a Sunday night, scoping out a five-figure home install for their child. Google AI handled this query with an even more direct recommendation than the commercial version.
Google AI: Fun Factory cited as the top-rated residential installer, Spectrum #2. Google AI named Fun Factory directly as "the top-rated residential sensory gym installer" in the opening sentence. Spectrum followed as the second leading residential option. The same two clients are now leading both commercial and residential queries on Google AI, which mirrors the dominance pattern we already documented inside ChatGPT. Two engines, two buyer segments, same two companies in the top two slots.
Query 6: A full conversational buying query (ChatGPT)
The most important test we ran was not a keyword. It was a real, multi-part question that mirrors how parents actually use ChatGPT when they are weighing a five-figure home install:
"I want a sensory gym in my house for my child. Should I get it professionally installed? If so, what are the best options to do so? Who are the best installers in Wisconsin? What about the USA?"
ChatGPT did not just list companies. It walked through whether professional installation was even necessary, broke out the safety considerations, gave realistic pricing tiers drawn from the clients' own public install ranges, from $3,000 for basic setups up to $50,000 for full custom builds (client project pricing, not Driftlss fees), and then closed the conversation with a direct buying recommendation.
The recommendation was, word for word: "Start with Spectrum Sensory Gyms. Also get a quote from Fun Factory Sensory Gym."
ChatGPT delivered a direct buying recommendation, naming Spectrum first and Fun Factory as the comparison quote. That is not a citation. That is a sales pitch delivered by an AI that the parent already trusts more than a Google ad. For a category where the average deal size sits well into five figures, a single answer like that is potentially worth more than a year of paid search spend.
How to show up in ChatGPT recommendations and Google AI results
The methodology behind these results is the same approach we bring to every web design engagement for ABA clinics, OT practices, and other healthcare-adjacent businesses. Here is what the work actually looks like.
Custom Next.js builds, not page-builder templates
Both clients run on custom Next.js sites with proper semantic HTML, fast load times, and structured data baked in at the component level. AI engines extract content from pages they can parse cleanly, and template-driven sites built on page builders consistently lose ground because their markup is bloated and their content is buried inside scripts that LLM crawlers do not always render. This is why Driftlss does not build on Wix, Squarespace, or WordPress for clients who care about AI visibility. Web design for ABA clinics and OT practices needs to be engineered for extraction from day one.
Schema that matches the actual buying journey
We implement Organization, LocalBusiness, Service, FAQ, and HowTo schema on every page where they apply, and we map the schema to the actual questions buyers are asking, not to a generic SEO checklist. When a parent asks ChatGPT how long an install takes, the answer pulls from FAQ schema we wrote. When a clinic owner asks what services are offered, the answer pulls from Service schema we structured. The same approach works for an OT clinic explaining its therapy modalities or an ABA practice explaining its intake process.
Content built around answer extraction
Every page on both sites has self-contained answer blocks, typically 130 to 170 words, that fully answer a specific buyer question without requiring context from elsewhere on the page. This is the format AI engines prefer when they are pulling citations, and it is the single biggest reason both clients show up so consistently across queries that have no obvious overlap. Most therapy practice websites are written as marketing copy first and information second, which is the opposite of what AI engines reward.
Entity signals across the open web
Citations are not just about what is on the site. They are about what the rest of the internet says about the brand. We work on consistent business information across directories, secure mentions on industry sites, and develop a knowledge graph footprint that gives Google and the LLMs enough corroborating signal to trust a recommendation. Both clients have stronger entity profiles than companies ten times their size in adjacent markets. This is the part of the work that turns a clean website into an actual answer the AI is willing to recommend by name.
Real expertise, written by humans
The March 2026 Google core update was specifically aimed at penalizing scaled AI content with no editorial oversight, and rewarding sites that demonstrate first-hand experience and named authorship. Every piece of content on both client sites is written by us in collaboration with the actual practitioners and operators at the company. There is no AI-spun filler, no generic blog mill output, and no templated service pages copied across pages with cities swapped in. That choice slowed short-term publishing speed. It also kept the pages steady through later Google updates we watched with those clients, without promising a fixed timeline for any other site.
Why this is replicable for any ABA clinic or OT practice
One client appearing first in a single AI answer could be a market quirk. Seeing both clients land in the top two across several platforms and query types is why we treat the playbook as repeatable process, not a one-off. We have applied the same site and content approach in the sensory gym installer category, and we use the same building blocks with ABA clinics, OT practices, speech therapy providers, pediatric therapy groups and other healthcare-adjacent businesses where buyers ask AI for recommendations before they talk to a human.
Categories are still shifting. Clinics that publish clear, crawlable answers now have a chance to be cited while those answers are still scarce. Waiting does not freeze the category in place for later.
If you want the definitions behind this work, start with what GEO is and why your practice needs it, then read SEO vs GEO: what is the difference. For how to write practice posts AI tools can quote, see how to write blog posts for SEO and GEO.
If you want to be the answer
Driftlss is an ABA marketing agency and healthcare web design partner working with clinics and specialty service businesses. We scope carefully so two clients in the same category are not fighting each other in the same metro when that would hurt both. If you want to know whether ChatGPT and Google AI are recommending you, recommending other providers, or skipping your category entirely, get in touch. We can review what those tools currently return for your service and location. Fees stay a custom quote after scoping.
AI visibility case study questions
What is this AI visibility case study about?
It documents April 2026 ChatGPT and Google AI Overview checks for Spectrum Sensory Gyms and Fun Factory Sensory Gym, two Wisconsin sensory gym companies. It also explains the site and content playbook Driftlss used with those clients, and how ABA and OT clinics can reuse the same building blocks.
Did the clients really show up at #1 and #2?
Yes, in the dated prompts and screenshots in this post. For example, ChatGPT returned Spectrum first and Fun Factory second on the Wisconsin installer query, and other prompts flipped or repeated that top-two pattern across national, commercial and residential checks. Those are observations from April 2026, not a promise that every clinic will get the same slots.
Why test both ChatGPT and Google AI?
The tools pull from different sources and weight signals differently. Showing up in one engine is useful. Showing up across both in the same month is stronger evidence that the underlying pages, schema and entity signals are working together.
What did you change on the client websites?
Custom Next.js builds with clean markup, schema mapped to real buying questions, content shaped so answers are easy to extract, stronger entity signals across the open web, and human-written pages made with the operators. The playbook section above lists each piece.
Can an ABA clinic or OT practice use the same playbook?
Yes at the process level. Buyers still ask AI tools for recommendations before they call. Clear service pages, accurate facts, crawlable structure and answer-shaped content transfer. Results still depend on the category, the competition and what the tools return on the day you check.
How is this different from SEO or GEO?
Classic SEO still matters for Google. GEO focuses on visibility inside AI answers. This case study is proof plus process for both. For definitions, read what GEO is and why your practice needs it and SEO vs GEO: what is the difference. For writing posts AI tools can quote, read how to write blog posts for SEO and GEO.
AI visibility case study questions
What is this AI visibility case study about?
It documents April 2026 ChatGPT and Google AI Overview checks for Spectrum Sensory Gyms and Fun Factory Sensory Gym, two Wisconsin sensory gym companies. It also explains the site and content playbook Driftlss used with those clients, and how ABA and OT clinics can reuse the same building blocks.
Did the clients really show up at #1 and #2?
Yes, in the dated prompts and screenshots in this post. For example, ChatGPT returned Spectrum first and Fun Factory second on the Wisconsin installer query, and other prompts flipped or repeated that top-two pattern across national, commercial and residential checks. Those are observations from April 2026, not a promise that every clinic will get the same slots.
Why test both ChatGPT and Google AI?
The tools pull from different sources and weight signals differently. Showing up in one engine is useful. Showing up across both in the same month is stronger evidence that the underlying pages, schema and entity signals are working together.
What did you change on the client websites?
Custom Next.js builds with clean markup, schema mapped to real buying questions, content shaped so answers are easy to extract, stronger entity signals across the open web, and human-written pages made with the operators. The playbook section above lists each piece.
Can an ABA clinic or OT practice use the same playbook?
Yes at the process level. Buyers still ask AI tools for recommendations before they call. Clear service pages, accurate facts, crawlable structure and answer-shaped content transfer. Results still depend on the category, the competition and what the tools return on the day you check.
How is this different from SEO or GEO?
Classic SEO still matters for Google. GEO focuses on visibility inside AI answers. This case study is proof plus process for both. For definitions, read what GEO is and why your practice needs it and SEO vs GEO: what is the difference. For writing posts AI tools can quote, read how to write blog posts for SEO and GEO.
AI visibility case study questions
What is this AI visibility case study about?
It documents April 2026 ChatGPT and Google AI Overview checks for Spectrum Sensory Gyms and Fun Factory Sensory Gym, two Wisconsin sensory gym companies. It also explains the site and content playbook Driftlss used with those clients, and how ABA and OT clinics can reuse the same building blocks.
Did the clients really show up at #1 and #2?
Yes, in the dated prompts and screenshots in this post. For example, ChatGPT returned Spectrum first and Fun Factory second on the Wisconsin installer query, and other prompts flipped or repeated that top-two pattern across national, commercial and residential checks. Those are observations from April 2026, not a promise that every clinic will get the same slots.
Why test both ChatGPT and Google AI?
The tools pull from different sources and weight signals differently. Showing up in one engine is useful. Showing up across both in the same month is stronger evidence that the underlying pages, schema and entity signals are working together.
What did you change on the client websites?
Custom Next.js builds with clean markup, schema mapped to real buying questions, content shaped so answers are easy to extract, stronger entity signals across the open web, and human-written pages made with the operators. The playbook section above lists each piece.
Can an ABA clinic or OT practice use the same playbook?
Yes at the process level. Buyers still ask AI tools for recommendations before they call. Clear service pages, accurate facts, crawlable structure and answer-shaped content transfer. Results still depend on the category, the competition and what the tools return on the day you check.
How is this different from SEO or GEO?
Classic SEO still matters for Google. GEO focuses on visibility inside AI answers. This case study is proof plus process for both. For definitions, read what GEO is and why your practice needs it and SEO vs GEO: what is the difference. For writing posts AI tools can quote, read how to write blog posts for SEO and GEO.
