Elm Tree Services is a Tree Service in Fitchburg, MA, located at 158 Kilburn St. It holds a 5.00 rating based on 0 reviews.
The company provides tree management and care services, including tree removal, expert pruning, stump grinding, and storm damage cleanup. Their tree removal services handle complex tasks, such as removing trees in confined spaces near homes or utility lines. Stump grinding involves crushing the trunk below ground level to allow for new land use. Storm damage cleanup ensures the quick removal of fallen trees, branches, and debris.
In addition to tree services, Elm Tree Services offers snow plowing for streets, sidewalks, and parking lots to maintain accessibility during winter. The business operates with a fleet of commercial tree removal and land improvement equipment. Their team is fully licensed and insured.
The company operates Monday through Saturday from 8:00 am to 6:00 pm. They offer free, no-obligation quotes for their services.
Elm Tree Services has a Performance score of 90 out of 100, which measures how quickly the website loads to keep visitors on the page and aid search engine ranking. The business holds a Discoverability score of 75 out of 100, ensuring AI crawlers can find every page so the business can be recommended by AI assistants. Elm Tree Services ranks number 3 of 4 Tree Service businesses that BizScoreAI has scored in Fitchburg.
BizScoreAI scanned the website elmtreeservices.com on September 23, 2026. Elm Tree Services has a BizScore of 45 out of 100.
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 0 of 25 points, Content Readiness 13 of 30 points, AI Trust Signals 12 of 20 points.
Website audit sub-scores (out of 100): On-Page 67, Technical 76, Performance 90, Content 24.
Strengths: 4 checks passed. AI Crawler Access, AI Content Blocking, About/Team Page, XML Sitemap.
Areas to improve: 14 checks. llms.txt (failed), FAQPage Schema (failed), Google Business Profile Link (failed), LocalBusiness Schema (failed), Third-Party Review Links (failed), Content Too Thin (failed), Organization Schema (warning), Speakable Schema (warning), Hyperlocal Targeting (warning), Local Multimedia (warning), Q&A Content (warning), Weak Heading Structure (warning), Meta Description (warning), Author Signals (warning).