Online Presence & AI Searchability Report
Thompson Price
Kitchens, Baths & Home
Chesterfield, MO · thompsonprice.com
Section 01
AI Searchability Signal Analysis
How AI assistants like ChatGPT, Perplexity, Google AI Overviews, and Claude currently evaluate and surface Thompson Price when someone asks for kitchen and bath remodelers in St. Louis.
What "AI searchability" means: When someone asks an AI assistant "who are the best kitchen remodelers in St. Louis?", the AI synthesizes answers from structured web data, review platforms, directory citations, schema markup, and editorial mentions — not just Google rankings. Each signal below directly affects whether Thompson Price appears in those answers.
4.7★ Google rating is excellent and heavily weighted by AI models. This is their single strongest digital asset. More reviews would further increase confidence in AI recommendations.
No LocalBusiness, Service, or Review schema markup found on the website. This is the single most impactful technical gap. AI crawlers rely on JSON-LD schema to reliably extract business facts — without it, they must guess from unstructured text, reducing answer confidence and eligibility.
"Thompson Price" is simultaneously the founder's personal name and the business brand. This causes entity disambiguation confusion in AI knowledge graphs. There is no Wikipedia page, no Wikidata entity, and no clear structured separation between the person and the company. AI models encountering this ambiguity default to lower confidence.
Core NAP information is consistent across Yelp, BBB, Houzz, and Angi — a positive signal. Minor variation exists in how the business name is styled across platforms ("Thompson Price Kitchens Baths & Home LLC" vs. "Thompson Price Kitchens, Baths and Home"). Standardizing this completely would strengthen AI citation matching.
Good service pages for kitchens, bathrooms, and location-specific markets. Missing: cost and pricing guide pages, FAQ content, how-to articles, and project process explanations — exactly the content AI models scan to verify subject-matter expertise before citing a business.
The NKBA national presidency (1990–91) and Certified Master Kitchen and Bath Designer credential are gold-standard authority signals — but they are buried in small print. A structured About page with prominent credentials and founder biography would significantly improve this score.
Almost no coverage in local press, home improvement blogs, or editorial sources found. AI training data weighs editorial citations as trust anchors — they confirm that a business is talked about by independent parties, not just self-described. Securing even 3–4 press mentions per year would materially improve AI recommendation confidence.
No YouTube presence found. Video is increasingly indexed and cited by AI search systems. Facebook engagement is low (916 likes, 10 actively talking). A competitor with before/after project walkthroughs on YouTube will dominate AI-generated answers for video-supported recommendations.
Section 02
Platform Presence Audit
Every platform where Thompson Price has (or should have) a presence, and its current health status.
| Platform | Current status | Status |
|---|---|---|
| thompsonprice.com | Active WordPress site, good structure, strong service pages | Active |
| Google Business | 4.7★ verified — strong review volume, top asset | Strong |
| Houzz | Listed with project portfolio, service areas defined, reviews present | Good |
| BBB | Accredited · 2020 Torch Award winner — strong trust signal | Strong |
| Yelp | Listed with hours and photos, but only 10 reviews — thin presence | Thin |
| Angi | 3.2★ overall (10 reviews) — mixed feedback, needs active management | Risk |
| 916 likes, 10 actively talking — low engagement, infrequent posts | Low | |
| Linked from website — activity level unknown, likely underutilized | Unknown | |
| Tracking pixel installed on site — minimal curated presence | Minimal | |
| YouTube | No presence found — major gap for AI-indexed video content | Missing |
| No company page found — missed opportunity for B2B and authority | Missing | |
| Nextdoor | Not verified — highest-conversion local referral channel untapped | Missing |
Section 03
Competitive Strengths
What Thompson Price has going for them that competitors likely can't match — the foundation to build an dominant AI presence on.
45+ years in business (founded 1978)
Longevity is a powerful trust signal. AI models heavily weight establishment date when ranking local service providers. A business operating since 1978 carries implicit credibility that new competitors simply cannot replicate.
NKBA national presidency (1990–91)
Thompson Price personally served as president of the National Kitchen and Bath Association — a credential that establishes national-level authority in the industry. This is extraordinary, but almost invisible on the current website.
4.7★ Google rating
Google reviews are the #1 source AI assistants cite for local business quality. A 4.7★ rating is their single strongest digital asset and forms the backbone of any AI recommendation they currently receive.
BBB Torch Award 2020
BBB accreditation and award recognition are treated as credibility signals by AI models and search engines. This is especially valuable for generating trust with new customers who discovered them through an AI assistant.
Proprietary 4P process (branded framework)
A branded, named process (Plan, Products, Price, Project) gives AI models a memorable, citable answer to "how does Thompson Price work?" Competitors with no documented process are invisible in this dimension.
Multi-market location pages
Dedicated pages for St. Louis, St. Charles, and Lake Ozark create local discoverability in three distinct markets — a structure that directly benefits AI location-based recommendations in each area.
60–70% referral-driven business
An extremely high referral rate signals genuine customer satisfaction. If even a fraction of those referral clients left online reviews, it would compound their digital authority significantly across every platform.
5,000 sq ft showroom in Chesterfield
A physical showroom is a tangible legitimacy signal. AI models treat physical business locations as trust anchors, and the showroom's size communicates serious investment and permanence in the market.
Section 04
Critical Gaps & Risks
The issues most likely to suppress Thompson Price in AI-generated answers and cost them leads right now.
No schema markup on website
Without structured data (LocalBusiness, Service, Review schemas in JSON-LD format), AI crawlers cannot reliably extract business facts. A competitor with schema will outrank Thompson Price in AI answers even with fewer reviews. This is fixable in a few hours.
Angi 3.2★ rating is actively hurting them
Perplexity, Google AI Overviews, and ChatGPT search pull from Angi. A 3.2★ rating there actively suppresses recommendations from AI assistants. Negative reviews cite billing disputes and communication issues — these need professional public responses and a review volume strategy.
Entity ambiguity: person vs. brand
"Thompson Price" is both a founder's name and a company name. AI knowledge graphs struggle with this disambiguation. There's no Wikipedia page and no Wikidata entity to resolve the ambiguity — meaning AI models answer with reduced confidence when recommending the business.
No video content or YouTube presence
YouTube is the second largest search engine and a primary AI training data source. A competitor with before/after project walkthroughs will dominate "best kitchen remodeler St. Louis" in AI answers. Video is the fastest-growing AI citation format.
NKBA credential buried in fine print
National NKBA presidency is mentioned once, incidentally. It should appear prominently on every page's About section, the Google Business description, Houzz profile, and all directory listings. AI models use credential signals to rank industry experts.
No cost/pricing guide content
Queries like "how much does a kitchen remodel cost in St. Louis?" are exactly what AI assistants answer. Without pages targeting these, Thompson Price is invisible for the highest purchase-intent queries in their category — the ones that turn directly into consultations.
No Nextdoor business presence
For a local remodeler, Nextdoor is where neighbors ask "who did your kitchen?" Missing this means missing the highest-conversion local referral channel in the St. Louis market, and a growing data source for AI local recommendations.
Almost no editorial or press mentions
No local news coverage, home improvement blog mentions, or third-party editorial citations found. AI models treat editorial mentions as trust anchors that confirm independent recognition. Even a handful of local press features per year would meaningfully improve AI answer confidence.
Section 05
Prioritized Action Plan
Eight concrete steps, ranked by impact and effort. Executing the first three alone could raise the AI Searchability Score from 52 to 70+.
Add LocalBusiness + Service schema to the website
Implement JSON-LD structured data markup on the homepage and all service pages. Include: business name, address, phone, hours, services offered, area served, aggregate rating, and founding year. This is the highest-leverage technical fix available — AI crawlers rely on schema to confidently extract and cite business facts. A developer can implement this in 2–4 hours.
Address Angi reviews with a two-pronged strategy
First: respond professionally and factually to every negative Angi review. Dispute inaccurate claims through Angi's resolution process. Second: run a targeted email campaign to past satisfied clients (especially the 60–70% referral base) specifically requesting Angi reviews. The goal is to raise the Angi score from 3.2★ to above 4.0★ within 6 months.
Build a dedicated "About Thompson Price" page with full credentials
Create a structured About page featuring: the NKBA national presidency (1990–91), Certified Master Kitchen and Bath Designer certification, founding year (1978), company history, and a personal founder story. Add the same information to the Google Business "About" section and all major directory profiles. This resolves entity ambiguity for AI knowledge graphs and dramatically improves E-E-A-T signals.
Create a "St. Louis kitchen remodel cost" guide page
A 1,000–1,500 word page answering "how much does a kitchen remodel cost in St. Louis?" with typical price ranges, factors affecting cost, and what's included in Thompson Price's process. This single page can capture the highest purchase-intent AI query in their category and position Thompson Price as the authoritative local answer. Add FAQ schema markup to it as well.
Launch a YouTube channel with project walkthroughs
Create 6–10 before/after videos of completed kitchen and bathroom projects. Titles like "Kitchen remodel in Chesterfield, MO — before and after" with full descriptions, location tags, and keyword-rich captions. These surface in Google AI Overviews and AI-powered video search. Smartphone video with good lighting is entirely sufficient to start.
Claim and optimize Nextdoor business presence
Set up a verified Nextdoor Business Page for the Chesterfield, St. Charles, and surrounding service areas. Ask recent clients to leave Nextdoor recommendations. Nextdoor is where neighbors specifically ask "who did your kitchen?" — it is the highest-conversion referral channel for home improvement businesses and increasingly indexed by AI local assistants.
Add FAQ schema to the website
Convert common questions (How long does a remodel take? What's included in the 4P process? Do you offer financing? What brands of cabinets do you carry?) into structured FAQ schema markup. These surface directly in AI-generated answers, Google's "People Also Ask" boxes, and voice search responses.
Create a LinkedIn company page
Set up a Thompson Price company page on LinkedIn, link it bidirectionally with the website, and post project highlights and industry content monthly. LinkedIn is crawled by AI training data and adds a professional layer to Thompson Price's online entity graph — particularly valuable for reaching contractors, builders, and designers who are a stated target audience.





























