Market breakdown
What MeSquared saw across Indianapolis
Below 40
0
40 to 59
1
60 and up
0
Meta description length
100%
Multiple H1 tags
100%
No question-format headings
100%
Not using HTTPS
100%
Weak schema stacking
100%
MeSquared market data
We scanned 1 electricians across the Indianapolis metro area. The average MeSquared AI Visibility Score landed at 51/100, which means most electricians are still hard for AI search systems to trust, summarize, and recommend. The biggest drag on visibility is meta description length, followed closely by multiple h1 tags.
Average score
51/100
National average
65.9
Easy to recommend
0%
Market breakdown
Below 40
0
40 to 59
1
60 and up
0
Meta description length
100%
Multiple H1 tags
100%
No question-format headings
100%
Not using HTTPS
100%
Weak schema stacking
100%
Why it matters
Electricians rely on clear answers, proof, and trust signals when buyers ask AI assistants who to call. When that information is weak or scattered, AI systems default to competitors that look easier to verify. For Indianapolis, that usually means better structure on service pages, cleaner schema markup, and stronger proof that the business really serves the market it claims.
Fastest wins
City comparison
Indianapolis sits below the current national average of 65.9/100 for electricians. Only 0% of the scanned sites looked easy for AI systems to recommend with confidence, so even a few focused fixes can separate one business from the rest of the field.
Current city rank: 19 of 20
Seattle, WA
1 scans
Average score
79
Charlotte, NC
1 scans
Average score
78
Los Angeles, CA
1 scans
Average score
75
Denver, CO
1 scans
Average score
74
FAQ
Why do electricians in Indianapolis score low on AI visibility?
Most lose points because AI systems cannot quickly confirm what they do, where they work, and why they should be trusted. The most common gaps are meta description length and multiple h1 tags.
What score should a electrician in Indianapolis aim for?
A score above 60 usually means the site is much easier for AI systems to trust and cite. Below that range, the site often lacks enough structure, proof, or local clarity.
What changes usually improve AI visibility the fastest?
The fastest wins are usually stronger schema markup, FAQ content on core pages, clearer service-area language, and better proof such as reviews, credentials, or project evidence.
Does AI visibility affect only ChatGPT?
No. The same trust and clarity signals also influence how businesses appear in Google AI Overviews, Perplexity, and other answer engines.
How do I check my own site against this market data?
Run the MeSquared free scan. It shows your score, top issues, and the fixes that matter most compared with what we see across Indianapolis.
Next step
Check your own score in about 30 seconds and see how your site stacks up against the Indianapolis electricians market.
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