Prepared for BluSky · November 2026
Trelliswork AI Visibility Benchmark · ChatGPT

ChatGPT names BluSky in 36 of 60 buyer answers.

ChatGPT puts BluSky on national shortlists, company-owned shortlists and adjuster shortlists. Ask it about a pre-loss emergency response agreement or senior living repairs with residents in place, and it sends buyers to ATI Restoration, BELFOR and SERVPRO first.

36 / 60

Buyer answers that name BluSky, 20 with search off and 16 with search on

3 / 3

Brand answers that describe BluSky correctly with search on

57

Other companies named. ATI Restoration leads with 39 answers.

01 / Brand baseline

ChatGPT knows who you are. It doesn't know what sets you apart.

With search off, the answer shows what the model already believes. With search on, it shows what it can find. Every run gets BluSky right as a national commercial restoration company. No run mentions pre-loss planning, your 50+ company-owned locations or your catastrophe program.

What does ChatGPT think you are?

Asked: “Who is BluSky Restoration?”

Search off

Knows the company, not the pitch

Knows you as a national commercial restoration and reconstruction company based in Centennial, Colorado, serving multifamily, healthcare, hospitality and commercial owners. One run adds a 2004 founding date. None mentions pre-loss planning or the catastrophe program.

3 of 3 runs right

Search on

Finds you, with old numbers

Reads goblusky.com and the Better Business Bureau. Gets the 2004 date, CEO Mark Minasian and the Kohlberg and Partners Group ownership. Quotes 900+ employees from 2021 and says you serve homeowners too.

3 of 3 runs right

What is it like to work with you?

Asked: “What is it like to work with BluSky Restoration?”

Search off

Treats it as a job question

All three runs answer what it is like to work at BluSky, with general pros and cons of restoration jobs and no facts about your clients.

0 of 3 runs describe client experience

Search on

Finds you, through Glassdoor

All three runs cite Glassdoor (3.9 of 5, 242 reviews) and Indeed (3.2 of 5). Only one also covers the customer side. None quotes a client result.

1 of 3 runs describes client experience

02 / How the benchmark works

We asked the way a buyer asks, then counted who got named.

Ask like a buyer

10 questions written from the buyer's side, with a real constraint in each. BluSky's name never appears in them.

Two modes

Each question ran with web search off, from memory, and on, where ChatGPT reads the web first.

Three fresh runs

Every question ran three times in a clean temporary chat on a paid test account with memory off, so one lucky answer can't skew it.

Count who's named

We pulled every company each answer recommends, in order, and tallied them across all runs.

10 + 2 questions×2 modes×3 runs=72 answers
Visibility

Share of the 60 buyer answers that name you.

Consistency

How many of the 3 runs name you for the same question.

Recognition

Whether the brand questions describe you correctly.

03 / The questions

12 questions across the buying journey.

Brand

Names BluSky. Scored for recognition, kept out of the visibility count.

  1. B1Who is BluSky Restoration?
  2. B2What is it like to work with BluSky Restoration?
Awareness

The buyer is naming the need and looking for a shortlist.

  1. Q01Which national restoration companies handle large commercial water and fire losses for multi-site property portfolios?
  2. Q02company owned commercial disaster restoration company not a franchise nationwide
  3. Q10best large loss restoration contractors insurance adjusters trust for commercial claims
Consideration

The buyer is comparing specialists, programs and alternatives.

  1. Q03We manage 40 office and retail properties across Texas and Georgia. Which restoration companies offer a pre-loss emergency response agreement so we get priority after a hail storm?
  2. Q04alternatives to BELFOR and SERVPRO for commercial property restoration
  3. Q05We run 12 senior living communities and a pipe burst flooded a wing last winter. Which restoration companies can dry out and repair while residents stay in place?
  4. Q06hurricane catastrophe response contractor for a hospital in Florida with pre-staged equipment
  5. Q09We own a 300-unit apartment building in Denver that had a kitchen fire. Who can handle asbestos testing and abatement before the rebuild?
Decision

The buyer is checking cost and how to choose.

  1. Q07how much does commercial water damage restoration cost per square foot for a 50,000 sq ft building
  2. Q08What should a REIT look for when choosing a national restoration vendor for its whole portfolio?
04 / Who ChatGPT recommends

ATI Restoration edges the shortlist. You win when the buyer wants a company-owned national partner.

ATI is named for 8 of 10 questions, and BELFOR comes first almost every time it appears. BluSky owns the company-owned, alternatives and adjuster questions. The nearest miss is Q03: a pre-loss emergency response agreement is your core offer, and ChatGPT named you in 2 of 6 answers.

AwarenessConsiderationDecision
Q01National multi-site lossesQ02Company-owned, not franchiseQ10Adjuster-trusted large lossQ03Pre-loss agreement, TX/GAQ04Alt. to BELFOR / SERVPROQ05Senior living, residents stayQ06Florida hospital hurricaneQ09Denver asbestosQ07Cost per sq ftQ08REIT vendor checklist
BluSky56626353
BELFOR competitor6665–63
SERVPRO competitor6363–61
ATI Restoration competitor66656433
FirstOnSite6663613
PuroClean5342533
Cotton434364
ServiceMaster Restore413362
Paul Davis316162
BMS CAT3355
Signal Restoration Services23
Commercial Restoration Company13
Kustom US13
DKI13
Rainbow Restoration4
Terracon Consultants3
WrightWay3
NCRI3
United Rentals partner3
FirstService Corporation3
Answers naming the company, of 6 per question123456BluSky row– named in the question, not counted
05 / Why competitors are winning

The most-named firm publishes the most proof. You get close with less.

ATI Restoration has 61 case studies, the most in the set, and ChatGPT names it in 39 answers. BluSky sits below the peer median on all four signals below, yet gets named in 36. Your name carries further than your published proof does.

LinkedIn followers
28KBluSky
~32KPeer median
LinkedIn company pages
Blog and news posts
139BluSky
208Peer median
Site maps
Case studies
13BluSky
16Peer median
Site maps and case study page
Domain Rating
54BluSky
64Peer median
Ahrefs

Brand score

Average of six signals, each scored against the strongest company in the set: Domain Rating as is, and referring domains, organic visits, posts, case studies and LinkedIn followers on a log scale.

BELFOR86named in 32 of 60
ATI Restoration84named in 39 of 60
PuroClean79named in 25 of 60
FirstOnSite77named in 31 of 60
SERVPRO77named in 25 of 60
BluSky74named in 36 of 60
Cotton55named in 24 of 60

Footprint vs. answers

A bigger footprint helps, but it doesn't decide the shortlist. SERVPRO has by far the most links and traffic and gets named in 25 answers. BluSky scores 74 and gets named in 36.

0510152025303540455060708090Brand score (0 to 100)Answers naming them (of 60)ATI RestorationBELFORFirstOnSiteSERVPROPuroCleanCottonBluSky
The outlier

BluSky scores 74, second lowest in the set, and gets named in 36 answers.

Only ATI is named more. ChatGPT names BluSky from memory in 20 of 30 search-off answers, so the model already trusts the brand. What's thin is the proof behind it: 13 case studies, 12 of them PDFs missing from your sitemap, against 61 for ATI and 51 for BELFOR. That proof is what decides the pre-loss agreement and senior living questions you're losing.

CompanyNamed (of 60)Brand scoreDomain RatingReferring domainsOrganic visits / moRanking keywordsBlog and news postsCase studiesLinkedIn followers
ATI Restorationatirestoration.com3984593,95233,0523,2442446134K
BluSkygoblusky.com3674544,3628,7108121391328K
BELFORbelfor.com3286726,311108,6497,994985148K
FirstOnSitefirstonsite.com3177564,7808,0775761732429K
SERVPROservpro.com25777616,102454,44628,211308051K
PuroCleanpuroclean.com2579705,43821,4113,435845810K
Cottoncottonholdings.com2455411,0631,30593107030K
  • Domain Rating, referring domains, organic visits and ranking keywords from Ahrefs, November 11, 2026, all locations. Posts and case studies counted from each site's XML sitemaps on November 11, English pages only. LinkedIn followers as shown on each company page, rounded to the nearest thousand.
  • BELFOR's domain hosts its sites for many countries, so its links and traffic cover more than the US business. Posts and case studies count the US English section only.
  • SERVPRO and PuroClean are franchise systems. SERVPRO's site carries about 61,800 franchise location pages, which lift its links and traffic. Neither publishes case studies on its main site.
  • Cotton is counted on cottonholdings.com and the Cotton Holdings LinkedIn page. Its restoration arm, Cotton GDS, has a separate page with about 10K followers, and cottonglobal.com is parked.
  • FirstOnSite's site covers the US and Canada and now includes Interstate Restoration.
  • BluSky's case study count includes 12 PDF case studies linked from the case studies page but missing from the sitemap.
  • BELFOR and SERVPRO are the competitors you named. ATI Restoration is our pick as the closest company-owned peer. FirstOnSite, Cotton and PuroClean are firms ChatGPT names often for your buyer questions.
06 / What's next

Choose your next step.

Option 01 /

Expand the report

Ask the same questions in every major AI platform for a full visibility report, not just ChatGPT.

GeminiPerplexityClaudeGrokMicrosoft Copilot
Expand the report
Option 02 /

Build your content strategy with Trelliswork

We plan and produce the pages, proof and placements AI models draw on, and get BluSky on the map.

Talk to Trelliswork