Market breakdown
What MeSquared saw across Philadelphia
Below 40
2
40 to 59
1
60 and up
0
Not using HTTPS
100%
No structured data (JSON-LD)
67%
Title tag length
67%
Meta description length
33%
Missing H1 tag
33%
MeSquared market data
We scanned 3 landscapers across the Philadelphia metro area. The average MeSquared AI Visibility Score landed at 41.7/100, which means most landscapers are still hard for AI search systems to trust, summarize, and recommend. The biggest drag on visibility is not using https, followed closely by no structured data (json-ld).
Average score
41.7/100
National average
58.3
Easy to recommend
0%
Market breakdown
Below 40
2
40 to 59
1
60 and up
0
Not using HTTPS
100%
No structured data (JSON-LD)
67%
Title tag length
67%
Meta description length
33%
Missing H1 tag
33%
Why it matters
Landscapers 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 Philadelphia, 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
Philadelphia sits below the current national average of 58.3/100 for landscapers. 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: 20 of 20
Denver, CO
1 scans
Average score
74
Austin, TX
1 scans
Average score
72
Houston, TX
3 scans
Average score
69.7
San Diego, CA
1 scans
Average score
69
FAQ
Why do landscapers in Philadelphia 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 not using https and no structured data (json-ld).
What score should a landscaper in Philadelphia 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 Philadelphia.
Next step
Check your own score in about 30 seconds and see how your site stacks up against the Philadelphia landscapers market.
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