Baltimore, MD
In Baltimore, AI and Google Maps recommend different businesses.
We studied 110 AI answers to understand which local businesses get recommended, how those choices compare with Google Maps, and what more visible businesses have in common.
Report scope: Baltimore, MD.
average overlap in the businesses they surface
The findings, at a glance
What lines up with AI visibility.
How often AI names a business, compared across 41 businesses.
Businesses in the top quarter for organic search visibility are named by AI 9.5× as often as the bottom quarter.
Moderate linkGoogle Maps AI3.3×Businesses in the top quarter for Google Maps visibility are named by AI 3.3× as often as the bottom quarter.
Moderate linkContent length AI1.7×Businesses in the top quarter for homepage content length are named by AI 1.7× as often as the bottom quarter.
Weak linkDomain age AI0.6×Businesses in the top quarter for domain age are named by AI less often than the bottom quarter.
Weak inverse linkPage speed AI1.7×Businesses in the top quarter for mobile page speed are named by AI 1.7× as often as the bottom quarter.
Weak linkllms.txt AI1.6×Businesses whose sites publish an llms.txt file are named by AI 1.6× as often as those that don’t.
Weak linkSite size AI1.5×Businesses in the top quarter for pages in their sitemap are named by AI 1.5× as often as the bottom quarter.
Weak linkKeyword density AI1.4×Businesses in the top quarter for keyword density are named by AI 1.4× as often as the bottom quarter.
Weak linkEach tile compares the AI mention rate (the share of AI answers that name a business) for the top and bottom quarter of businesses on that signal, or for sites with and without a feature. See every signal ↓
01 — Who gets recommended
Same search.
Different businesses.
A customer looking for a local business can get different names depending on where they ask. We compare the businesses in each answer using the same local search prompts.
In this sample, AI recommendations and Google Maps results have an average overlap of 9.4%. A business’s position in Maps alone does not tell the whole story of its AI visibility.
0% means no names in common. 100% means identical sets of businesses. The measure accounts for different list lengths and is averaged across eligible comparisons.
AI and Google Maps
9.4%AI recommendations vs. the first ten Maps results
ChatGPT and Gemini
7.4%The two AI providers, asked the same question
02 — The signals, one by one
What do more visible
businesses have in common?
We line up how often AI names each business with its Google presence, reviews, website content, and technical setup, from page speed to llms.txt.
Google search (SEO) shows the biggest gap: businesses in the top quarter for organic search visibility are named by AI 9.5× as often as the bottom quarter.
Businesses that lead on one signal often lead on others, so no single comparison shows what would change a business’s AI visibility on its own. Local market and industry differences also shape the results.
How often AI names a business, compared across 41 businesses. Counts differ by signal because some measurements are unavailable for some businesses.
Google search (SEO)
How consistently a business’s website appears, and how highly it ranks, in organic Google results for the same searches.
9.5×Businesses in the top quarter for organic search visibility are named by AI 9.5× as often as the bottom quarter.
Top quarter: 4.7% of AI answersBottom quarter: 0.5%
41 businesses measured for this signal. Each signal is compared on its own; businesses that lead on one signal often lead on others.
03 — Bring the story closer to home
Find the story in your city.
Start with the city or industry you know. Each report includes its own sample and findings.
Showing reports within Baltimore. View all research →
6 of 14 city reports
Latest published reports. AI mention rate is how often a measured business is named in eligible AI answers, averaged across businesses. Cities may cover different industries and prompts; this is not a city ranking.
Behind the numbers
Open methods.
Clear boundaries.
This is observational research from selected local markets, not a representative survey of every U.S. business.
Read the full methodologyWhat did we measure?
41 businesses across 1 published city-and-industry market. We issue local-service prompts to ChatGPT and Gemini, record business recommendations, and compare them with Google Maps and organic search results. Collection sources: Google Maps; Google organic search; Gemini API with Google Search grounding; OpenAI API with web search.
How are businesses selected?
Businesses are selected from stronger, middle, and weaker Google Maps performers. Additional businesses discovered in AI answers are verified before publication. This is a stratified, non-probability sample, not a random survey of all businesses.
What can’t these results tell us?
AI answers change with the prompt, time, location, model, and interface. API observations do not reproduce the consumer apps. Associations do not establish cause and effect, and visibility does not measure business quality. Aggregates reflect only the published markets, and available measurements can differ by analysis.