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See where AI sends the next restoration call.

Track water, fire, mould, storm and commercial recommendations by branch and service area. See which source routes the demand, which controlled fact is weak, and who should verify it next.

See every shortlist you’re on.

Buyers ask the same thing a hundred ways, and each question gets its own picks. Track the questions that matter and see how far you are from the top.

Water damage

Dryford Restoration 4th, in 14 of 40

Fire and smoke

Dryford Restoration 1st, in 37 of 40

Basement mould

Dryford Restoration 2nd, in 31 of 40

Storm damage

Dryford Restoration 2nd, in 30 of 40

Commercial recovery

Dryford Restoration 4th, in 21 of 40

  • Dryford Restoration
  • Rivals
  • Your gap to first

40 AI answers per question. Height shows how many named each brand.

Explore the evidence

Give AI a reason to pick you.

Trakkr reads the pages behind every pick. When AI can’t find what it needs, Trakkr writes the fix and ships it once you approve.

  • You approve every change
  • Ships to Shopify, WordPress, Webflow and GitHub
Mendross Recovery

Water damage

38of 40

Why AI picks it

  • States callout coverageMendross Recovery example page
  • Explains drying stepsMendross Recovery example guide
ChatGPT says

“States which areas its callout team covers.”

Fix ready1 of 3
dryford-restoration.test

List water-damage response areas. Verify the details with the team before publishing.

Dryford Restoration

Water damage

14of 40
  • Water-damage service areas are missing.Dryford Restoration example page
“24 hour water damage restoration near me”40 answers

Follow every pick to your site.

Connect Google Analytics to see AI referral visits and landing pages. Recorded conversions depend on the events and values configured in your property.

30 days · AI referral visits

Water damage

/services
214 visits
214 AI visitsExample fix

Services and fit

/solutions
96 visits
96 AI visits

About the team

/about
141 visits
141 AI visits

Contact

/contact
118 visits
118 AI visits

AI referral visits

30-day total
569 visitsFour landing pages · Illustrative AI referrals

Mini bars show 30 days of AI visits.

Google Analytics attribution

Illustrative multi-market restoration companies example. All providers, products, answers, counts and results in this demo are fictional. Verify facts before using an example draft. Industry-specific evidence and measurement caveats follow below.

AI search for restoration companies, explained.

AI search visibility for restoration companies measures whether ChatGPT, Google AI, Perplexity and Gemini name, rank and cite the right local operator when a property owner or facilities team asks about water extraction, fire and smoke cleanup, mould remediation, storm recovery or commercial restoration. Trakkr keeps the prompt, service area, operating entity, referral source and public evidence together so a regional team can see where demand is being routed and which fact to fix next. It does not invent 24/7 coverage, response times, live capacity, certifications, licences, insurance relationships, coverage outcomes, reviews or branch service boundaries.

One readout by branch, loss type and evidence gap.

Recommendation control room
Houston · water damage · 02:18

Property owner asks

24 hour water damage restoration near me

Demand-routing signal

#3

Dryford Houston appears in the shortlist, but conflicting after-hours wording and an unresolved certified-firm record route the fictional call toward a local alternative.

24/7

Conflict

Credential

Unclear

Coverage

Aligned

Next owned fix

Have Houston operations confirm the real intake window, compliance verify the credential record, and remove any arrival-time promise not supported by dispatch.

Every loss type asks for a different proof set.

Urgency, branch truth, referral evidence and technical scope shape different parts of the shortlist.

01

Emergency intent

The first shortlist can become the first call.

Water, fire and storm prompts compress research into a few local names. A 24/7 label, response time or coverage area must match the branch that can actually take the call.

02

Loss type

Water, fire and mould need different proof.

The source, material, contamination risk, project scale and building type change the evidence a buyer needs. One generic emergency page cannot carry every restoration decision.

03

Referral truth

A directory entry is not an insurance outcome.

Insurer, adjuster, property-manager and trade referrals can enter the source set, but they do not establish coverage, authorisation, payment or live job acceptance.

04

Branch truth

A platform is not one operating record.

Certifications, licences, business names, phone routes, reviews and service areas can differ locally. The answer has to resolve to the operator serving the loss.

Open the full readout.

Switch views to see how Trakkr breaks down visibility for multi-market restoration companies, from the market to the work that moves it.

Dryford RestorationExample readout

See where AI routes restoration demand, then fix the cause.

Read the platform at a glance, keep every recommendation tied to the local branch, and send the highest-risk gap to its owner.

Dryford Restoration Platform (fictional)

Five fictional operating companies · five US markets · residential and commercial restoration demand

Fictional entities and fixed illustrative measurements.

Group visibility
61
+1.1 points over 30 days
Citation coverage
67%
Owned, public, referral and independent evidence
Branch truth
70%
Entity, credential, hours and service-area alignment

Demand routing by service area

Where AI recommendations and restoration branch truth diverge

5 branches

Strong

70+

Mixed

55 to 69

At risk

Below 55

Dryford Restoration · Houston

Houston, TX · Emergency water and storm loss

51

-5.7

Rank
#3
Citations
53%
Truth
56%

The service area resolves, but the branch page, local profile and fixed credential record do not support one after-hours claim.

Desert Shield Recovery · Phoenix

Phoenix, AZ · Fire, smoke and contents restoration

75

+4.1

Rank
#1
Citations
81%
Truth
84%

The branch entity, fire-service scope, fixed credential record and recent local evidence point to the same fictional operator.

Coastline Disaster Recovery · Tampa

Tampa, FL · Storm, flood and water mitigation

68

+2.8

Rank
#2
Citations
73%
Truth
78%

Storm and local sources agree, while an old insurer-programme page implies a referral relationship that is not verified.

Peachtree Environmental Restoration · Atlanta

Atlanta, GA · Mould and moisture remediation

59

-0.4

Rank
#3
Citations
67%
Truth
69%

The mould process page is useful, but the credential evidence and assessor relationship are not clearly separated.

Lakefront Commercial Recovery · Chicago

Chicago, IL · Commercial large-loss response

54

-3.2

Rank
#4
Citations
59%
Truth
63%

The commercial page names capabilities, but local project proof and referral governance are too broad for a multi-site buyer.

Emergency and planned routing

Houston, TX

Emergency water

24/7 conflict

Confirm intake and credential before changing copy

Tampa, FL

Storm recovery

Referral stale

Remove insurer implication and coverage language

Phoenix, AZ

Fire restoration

Evidence aligned

Maintain branch, scope and directory consistency

Demand type helps sequence work. It never proves live capacity, an arrival time, insurer authorisation or a coverage outcome.

Next accountable fixes

Each item starts with an observed answer and evidence gap, then names the branch owner who must verify the fact before any public change.

11 open · 5 high priority
  1. 01

    Resolve the Houston 24/7 claimHigh

    The branch page and local profile do not support the same after-hours intake promise.

    Observed: Emergency water promptsExpected: One approved intake window

    Approval route

    Houston operations

    Houston, TX

  2. 02

    Verify the Houston credential recordHigh

    The fixed directory record does not clearly resolve to the Houston operating entity.

    Observed: Water restoration recommendationsExpected: Current branch-level source

    Approval route

    Compliance

    Houston, TX

  3. 03

    Remove the stale insurer implicationHigh

    An old programme page implies a current referral relationship and possible claim outcome.

    Observed: Storm insurance promptsExpected: Factual claims-process wording

    Approval route

    Legal + partnerships

    Tampa, FL

  4. 04

    Separate assessment and remediation rolesHigh

    The current page does not make the role boundary or local requirement clear.

    Observed: Mould remediation promptsExpected: Approved process boundary

    Approval route

    Compliance + operations

    Atlanta, GA

Attention

Houston is losing emergency water prompts while its 24/7 and credential evidence conflict. Tampa needs an old insurer-programme page corrected before storm demand rises.

Illustrative category peer set: BELFOR Property Restoration, SERVPRO, ServiceMaster Restore, Paul Davis Restoration. These public names are examples only. They are not Trakkr customers, and no measurements about them appear on this page.

View 1 of 3

Make every recommendation explainable.

The category model keeps prompt, entity, evidence, caveat and owner attached.

  1. 01Split the demand

    Build prompt sets by service area, loss type, emergency or planned intent, property type and decision stage.

  2. 02Capture recommendations

    Record whether the local operator appears, its position, named alternative, referrals and cited sources.

  3. 03Resolve the branch

    Attach every service page, profile, credential, licence, review and referral record to the correct operating company.

  4. 04Check controlled facts

    Flag 24/7 coverage, response times, capacity, credentials, licensing, insurance relationships and outcomes for the owner who can verify them.

  5. 05Route and remeasure

    Assign the evidence fix, preserve the original answer and check the same local prompt again.

All company names, branch records, prompts, scores, positions, demand signals and findings in the product preview are fixed illustrative data. Trakkr does not verify or invent 24/7 coverage, response times, live capacity, certifications, licences, insurance relationships, coverage outcomes, reviews or service territories. Public sources below explain restoration, credential and claims-process considerations. They do not validate the fictional records or endorse any provider.

Questions, answered.

What restoration growth teams ask before a first readout.

It means knowing whether AI answers name and cite the right operating company for a specific market, loss type and buying moment. Useful measurement keeps the prompt, position, alternative, referral sources and local branch together.

Ask anything elseAsk anything else

The Agent answers from our docs, methods and pricing, and links to the source.

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Every question your buyers askchecked daily in eight AI models