Local Keyword Research for Michigan Businesses, With and Without AI
Keyword research goes wrong the same way for most local businesses: it starts in a tool instead of starting with what the business already knows. Here is the order that works, and the narrow place AI belongs in it.
Start with the words you already own
Before you open any tool, you are sitting on language nobody else has. The queries already bringing people to your site. The words customers use in reviews and on the phone. The questions you answer every single week and have stopped noticing.
This is first-party material. No competitor has it and no model can guess it, which makes it the only part of keyword research that is genuinely yours.
Four free sources worth more than any paid tool
Google Search Console
What you already rank for, including things you never targeted. Filter to positions five through twenty: those are the pages one good edit away from moving.
Google Keyword Planner
Free with a Google Ads account. Treat the volumes as ranges and directions, not measurements. Directionally right beats precisely wrong.
Autocomplete and People Also Ask
Real queries, phrased the way people actually phrase them, which is rarely the way a business would write them.
Competitor pages
Not their meta tags. Their H1s and the names they give their service pages. That is where their keyword decisions are visible.
The Michigan layer most guides skip
Almost nobody searches plumber michigan. They search plumber royal oak, or furnace repair livonia, or roofer grand rapids. In the tri-county area in particular, municipal identity is strong enough that the city name is the keyword.
So the research has a step that national guides leave out: for every municipality you genuinely serve, decide whether there is real demand, whether you can serve it well, and whether you have anything true to say about working there. Two out of three is not enough.
What AI should do here, and what it must not
Once you have a real list from real sources, a language model is genuinely useful.
Cluster a messy list into groups by search intent.
Label each term informational, commercial or transactional.
Expand a validated seed list of services or municipalities into variants.
Compare your query list against your existing pages and name the gaps.
Draft title tags for the terms that survive.
What it must not do: estimate search volume, which it cannot know and will invent with total confidence; name neighbourhoods or landmarks, which it fabricates; or decide which markets you serve, which is a business decision wearing a research costume.
A worked example
Take a heating and cooling company in Royal Oak. The queries below are illustrative rather than pulled from a real account, but the sequence is the one to follow.
1
Pull what already exists
Search Console shows impressions for furnace making noise, ac not cooling royal oak, and hvac repair berkley. Three different things: a symptom query, a local commercial query, and a neighbouring city nobody targeted.
2
Validate the demand
Keyword Planner confirms the local commercial term has steady volume with a heavy winter skew. The symptom query is smaller but year round.
3
Widen with real phrasing
Autocomplete adds furnace making banging noise and furnace making rattling noise. Those are article headings, written by customers.
4
Cluster and decide
Symptoms become one informational article. Repair plus city becomes a service page. Berkley becomes a test, because the impressions arrived without even trying.
Turning a list into pages
One dominant intent per page. If two terms would need the same page to answer two different questions, they are two pages. If two terms would produce substantially the same page, they are one page, and the stronger phrase goes in the title.
That single rule prevents most keyword cannibalisation before it happens, which is far cheaper than diagnosing it six months later when two of your own pages are competing.
Three mistakes worth avoiding
Building city pages for places you do not actually serve. They are thin by definition and they age badly.
Treating a model’s volume estimate as data. It is a guess presented in the grammar of a fact.
Chasing a term because it looks easy to rank for, when nobody searching it would ever buy from you.
The full playbook
Keyword research is one tactic among several. The complete guide covers Google Business Profile, seasonal timing, on-page work and Search Console analysis.