AEO and AI Search Visibility in West Michigan
Last updated October 14, 2026. Written by the Third Coast AI team.
Third Coast AI is the AEO and GEO consultancy based in West Michigan, and this page explains what answer engine optimization means for a business in Grand Rapids, Holland, Kalamazoo, Muskegon or anywhere along the lakeshore: when a buyer asks ChatGPT, Google AI Mode, Gemini, Perplexity or Copilot "who is the best [category] near me," the engine names three to five companies, and the work is making sure yours is one of them. We run the audit, the content program and the entity program for regional companies in person, and we work nationally from here.
The regional angle is not a marketing flourish. Prompts with a place in them behave differently from national ones, the sources the engines cite for "in Grand Rapids" are a short and specific list, and the companies that get named today are often not the ones that rank first in Google. That is an opening for a local business that moves before its competitors do, and it closes as more of them do.
Do people in West Michigan ask AI engines for local recommendations?
Yes, and the category decides how often. BrightEdge's tracking shows AI Overviews on nearly half of Google queries, and Semrush's July 2026 study found more than 60% of high-value jobs and education searches trigger one, with commercial-intent coverage up 71% in six months. A Holland restaurant, a Grand Rapids software firm and a Kalamazoo tutoring company are all in categories where most of their buyers' Google searches now open with an AI answer, and that is before counting the people who went straight to ChatGPT.
Pew Research measured what happens to the click when the answer is on the page: 8% click-through with an AI summary against 15% without, in July 2025. The business that is named inside the answer keeps its share of a shrinking pool of clicks and picks up the buyers who never click at all.
78% of restaurant-category Google queries now show an AI Overview (Semrush 10-million-keyword tracking). Local service categories sit between the finance low of 16% and that high, and the audit tells you where yours falls.
Why do regional prompts behave differently?
Three things change when a town is in the prompt. First, the hidden searches get local: a question like "best residential roofer in Holland MI" splits into sub-queries about Ottawa County permits, lakeshore wind ratings, local reviews and nearby towns, and a page that only talks about roofing in general does not match them. Second, the citation pool shrinks. For national prompts the engines lean on Wikipedia, Reddit, YouTube and the big publishers, but for a West Michigan prompt the cited sources are the local news site, the chamber, the business journal, Google and Yelp profiles, a couple of regional directories and the companies' own pages, which means a handful of well-placed mentions carry more weight than they would nationally. Third, the engines are frequently wrong about local facts, naming closed businesses, old addresses and companies that do not serve the area, and the fact-check prompts in our audit routinely turn up errors that a single correction page fixes.
Semrush's finding that pages ranking 21st or lower produce most ChatGPT citations, and Kirsten and colleagues' finding that 53% of the domains cited in AI Overviews were not in Google's organic top ten for the same query, and 40% were outside the top 100, both hold locally. A company on page three for "commercial HVAC Grand Rapids" can be the one the engine names if its page answers those hidden searches and the local record corroborates it.
Which West Michigan industries are most exposed?
| Industry | Typical buyer prompt | Why it is exposed now |
|---|---|---|
| Restaurants, breweries and hospitality (Grand Rapids, Holland, Saugatuck, the lakeshore) | "Best place for a group dinner in Grand Rapids" | Highest AI Overview rate of any category at 78%; engines lean on review sites and local press the business does not control |
| Home services (roofing, HVAC, plumbing, remodeling) | "Who should I call for a furnace replacement in Holland MI?" | Decision factors are specific (licensing, response time, financing, warranty) and most sites do not state them plainly |
| Manufacturing and B2B suppliers (office furniture, automotive, food processing) | "Contract manufacturers for medical device components in West Michigan" | B2B prompts split into capabilities, certifications and capacity, and the engines cite directories and trade press more than company sites |
| Health, wellness and youth activities (swim schools, gyms, climbing gyms, clinics) | "Swim lessons for a three-year-old near Grandville" | Parents ask conversationally; engines use safety, ratios and schedule as factors and often cite national chains by default |
| Legal, accounting and professional services | "Business attorney in Grand Rapids for a partnership dispute" | Engines resolve named professionals as entities; firm sites rarely give practice-level proof |
| Higher education and tourism | "Things to do in Holland Michigan in October" | Education at 83% AI Overview rate; tourism answers draw on a narrow set of regional sources |
Which companies get named today, and why is it not always the biggest one?
When we run visibility prompts for a West Michigan category, the pattern is consistent enough to describe. The engine names one or two companies with strong third-party records (lots of reviews, local press, a Wikipedia or Wikidata presence, consistent profiles), one or two whose own pages happen to answer those hidden searches well, and often a national chain or a directory as filler. The company with the best Google ranking is in the list maybe half the time, which matches Moz's measurement of 88% of AI Mode citations falling outside the organic results for the same query.
The decision factors are the lever. In decision-factor mining for local categories, the engines return criteria like years in business, licensing and insurance, service radius, response time, pricing transparency, specific certifications, reviews with recency, and whether the company handles the buyer's exact situation. Most West Michigan company sites state two or three of those in passing and bury the rest in a PDF or nowhere. Supplying them in plain sentences, with proof, is most of the on-site work.
We have lived and worked here for a long time. The West Michigan instinct is to do good work and let the reputation travel by word of mouth. The engines are now the word of mouth, and they only repeat what they can read.
Third Coast AI
Can you give an example of how a regional engagement runs?
- Prompt bank for the region. 60 to 120 prompts built around how buyers in Grand Rapids, Holland, Kalamazoo, Muskegon and the smaller towns actually ask, including the neighborhoods and nearby-town variants.
- Mining with retrieval on. ChatGPT with web search, Gemini with grounding, AI Overviews and AI Mode, Perplexity and Copilot, with the engines' hidden searches captured so we know which sub-questions a local page has to answer.
- Decision factors and proof audit. The criteria the engines use for your category, checked against your pages one by one.
- Local citation reads. Which regional sources the engines trust, which ones mention your competitors and not you, and which claims those mentions corroborate.
- Briefs, gate and publication. Pages written to the hidden searches and the factors, checked before they go live, including a correction page for whatever the engines currently get wrong about you.
- Entity and mention work. Profiles reconciled, Wikidata created, the regional target list worked honestly.
- Verification. The prompt set re-run after indexing, and again each month, with the change reported at the prompt level.
Is Third Coast AI local, and does that matter?
We are based in West Michigan, in Holland, and the team works between Holland and Grand Rapids. It matters for two practical reasons. We know which regional sources the engines cite because we read them every week for clients in restaurants, home services, swim schools, consumer food, climbing gyms and professional services here, and we can sit in your conference room for the readout, which tends to produce better decisions than a slide deck sent by email. We also work with companies elsewhere in the country, where the method is identical and the source lists change.
If you want to see the city-level view, the pages for Grand Rapids, Holland, Kalamazoo and Muskegon go into the local prompt behavior and industries for each. .
Frequently asked questions
Answer engine optimization is the work of getting your company named, described accurately and cited when ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity or Copilot answer a buyer's question; GEO (generative engine optimization) is the same discipline with the emphasis on being used as a source.
The category decides it. BrightEdge measures AI Overviews on nearly half of Google queries, and Semrush found commercial-intent coverage up 71% in six months, and that is before counting people who start in ChatGPT or Gemini. For most local service categories a meaningful share of buyer questions now begin with an AI answer.
No. We work in Grand Rapids, Holland, Zeeland, Grand Haven, Muskegon, Kalamazoo and the surrounding towns in person, and with companies elsewhere in the country remotely. The method is the same; the local source lists change.
No. Third Coast AI is a specialist consultancy, and AEO and GEO are the whole practice. The method was developed on client work in restaurants, home services, swim schools, consumer food, climbing gyms, legal and professional services, and we offer it as a standalone service to companies and under their own name to agencies.
Correction pages for factual errors can change answers within weeks of indexing. Being named for competitive visibility prompts typically builds over a few months as content, entity work and re-runs compound, which is why programs run six months initially.
The audit is a fixed fee and the programs are monthly retainers; current figures are on the service pages and in the pricing guide, and both are being finalized for the relaunch.