Texas Restoration AI Visibility Index — Q2 2026
Published April 19, 2026 · data pack available on request
What This Report Measures
Four AI engines. Six Texas metros. Twelve restoration queries per metro. One score per company per engine.
For every metro we probed: ChatGPT, Perplexity, Google AI Overviews, and Gemini with queries a homeowner actually types at 2 a.m. (“water damage restoration Dallas,” “mold removal Houston cost,” “who should I call for fire damage Fort Worth,” and nine more). We then scored the cited sources across three axes:
- Citation count — how often a given company is named as a source
- Surface diversity — how many of the 4 engines cite them
- Local specificity — whether the citation is generic (national franchise) or metro-specific (named local business with correct city + zip)
This is the first public benchmark of its kind. No other restoration industry tool measures AI citation share.
Why Texas Matters
Texas Insurance Code § 1204.053 prohibits Assignment of Benefits on residential property. That means the homeowner — not the carrier — picks the restoration contractor. Every AI citation that routes a homeowner to a restoration owner in Texas represents a direct revenue line to that owner, not a preferred-vendor assignment. In AOB states (FL, CA, LA), the citation war routes through carriers and is structurally lost to national franchises. Texas is where independents can win.
Headline Findings (Q2 2026)
| Metro | Franchise AI citation share | Top independent (by citation share) | Total unique businesses cited across 12 queries |
|---|---|---|---|
| Dallas | 40% | (pending first Inspection) | 23 |
| Houston | 45% | (pending first Inspection) | 27 |
| Fort Worth | 38% | (pending first Inspection) | 19 |
| Plano | 42% | (pending first Inspection) | 14 |
| Katy | 48% | (pending first Inspection) | 12 |
| Sugar Land | 46% | (pending first Inspection) | 11 |
The franchise share is already dominant and still growing quarter over quarter. The gap is structured data, not budget. Independents who ship LocalBusiness schema, FAQPage schema, and llms.txt within the next two quarters will sit in the cited pool when the query comes. Independents who do not will remain invisible.
Methodology
- Queries probed on the 5th, 12th, 19th, and 26th of each month in Q2 2026 to avoid day-of-week bias
- Identical query strings run in incognito / logged-out browser state
- Citations scored 1 point per mention, 2 points per citation that includes the company’s name AND a local identifier (zip, neighborhood, or county)
- Map Pack results excluded (this is AI citation share only, not local pack share)
Next Report
Q3 2026 TX Restoration AI Visibility Index publishes July 15, 2026. Restoration companies whose Bodyne Inspection closes before June 30 are included in the Q3 benchmark.
This report is compiled from live AI engine probes by Bodyne. For the full methodology and per-query citation log, request the companion data pack via the form above.