#llmsmap.me

Independent technical audit

restoreworth.com

restoreworth.com

Overall AI readiness score

A combined result across all audit signals.

86of 100Excellent
AI readiness audit: 10/17/2026Public technical data

Overall AI readiness assessment

How ready restoreworth.com is for AI systems

86/100

RestoreWorth is approved for inclusion. Its llms.txt is valid and accessible, the website is a genuine restoration cost intelligence project, and all content is policy-compliant.

Audit context

llms.txt is accessible and contains 860 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. The homepage exposes Schema.org types Organization, WebSite, WebPage; 5 OpenGraph tags were found and markup completeness is 90%.

The mobile Lighthouse profile adds Performance 100/100, Accessibility 100/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.

Confirmed strengths

  • Accessible llms.txt
  • 1 sitemap declaration
  • Schema.org: Organization, WebSite
  • Complete social metadata
  • Strong Google agentic signals

Priority improvements

  1. 1Add llms-full.txt for richer first-party context.
llms.txt tokens860
llms-full.txt tokens—
ai.txt
sitemap.xml

Google Lighthouse technical profile

A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.

Mobile · Lighthouse
100

Performance

100

Accessibility

100

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

The mobile page renders efficiently; its largest visible content block appeared in 1.7 s.

Accessibility scored 100/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.

1

Free the main thread and accelerate the first view

Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.

2

Reduce code that loads without helping the page

Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.

3

Make controls unambiguous

Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.

FCP1.4 s

First content

LCP1.7 s

Main content

CLS0

Layout stability

TBT40 ms

Blocking time

SI1.4 s

Visual speed

Metric glossary
FCP · First content
When the first text or image appeared on screen.
LCP · Main content
When the largest visible element in the first viewport rendered.
CLS · Layout stability
How much content shifted unexpectedly while loading; lower is better.
TBT · Blocking time
How long the browser main thread could not respond quickly to input.
SI · Visual speed
How quickly the visible viewport filled with content.
10/17/2026Lighthouse 13.5.0Mobile profile

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://restoreworth.com/llms.txt
llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Types: Organization, WebSite, WebPage

OpenGraph90%

5 OG tags found

AI bot access

Based on robots.txt analysis

GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned

Sitemaps

Declared discovery routes for crawlers and agents.

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 90%
og:site_nameRestoreWorth
og:typewebsite
og:titleProperty Damage Cost Intelligence | RestoreWorth
og:descriptionModel property restoration costs from published US cost-guide averages. Map the damage, pick the materials, and see every published figure with its source.
og:urlhttps://restoreworth.com/

Schema.org markup

Structured entities and properties exposed on the homepage.

Types found: 3 · Properties: 6
OrganizationWebSiteWebPage
nameRestoreWorth Team
urlhttps://restoreworth.com/
descriptionIndependent property damage restoration cost reference for US homeowners.
contactPoint{"@type":"ContactPoint","email":"contact@restoreworth.com","contactType":"editorial","availableLanguage":"en"}
inLanguageen-US
publisher{"@id":"https://restoreworth.com/#org"}
# RestoreWorth

> Independent US property damage restoration cost reference. Five calculators model restoration costs from published US cost-guide averages; each published figure links its source, and RestoreWorth's own assumptions are shown as separate rows. Not a contractor and not a lead broker. National ranges, not local prices; the model has not been reviewed by a restoration professional.

## Calculators

- [Water damage estimate and mitigation cost](https://restoreworth.com/water-damage.html): the cost of water mitigation (removing the water, drying) by IICRC category, plus materials.
- [Mold remediation cost calculator](https://restoreworth.com/mold.html): visible surface and materials, and the lines to ask about in a quote.
- [Basement water damage repair cost after a flood](https://restoreworth.com/flood.html): cleanup rate per square foot, plus materials, pump-out and assessment fees.
- [Fire damage estimator: fire and smoke costs](https://restoreworth.com/fire-smoke.html): cost per square foot of home, with soot, smoke and firefighting-water figures shown beside it, never added.
- [Sewer backup cleanup cost](https://restoreworth.com/sewage.html): cleanup and materials; repairing the cause, such as the sewer line, is not included.

## Open data

- [NFIP Paid Building Claims by State, 2020-2024](https://restoreworth.com/nfip-flood-claims-by-state.html): per-state count, median and quartiles of the building amount paid by the National Flood Insurance Program, computed from FEMA OpenFEMA data; not endorsed by FEMA. Amounts paid by NFIP, not repair cost.
- [Flood damage by water depth, NFIP 2015-2024](https://restoreworth.com/flood-damage-by-water-depth.html): median NFIP flood damage by interior water depth, as a share of building value, from FEMA OpenFEMA data. Actual cash value, not repair cost.
- [Flood insurance data by state](https://restoreworth.com/flood-data/): NFIP premiums and paid flood claims, FEMA declarations and inspections in 53 states and territories, with county pages, from FEMA OpenFEMA data. Not repair cost.
- [NFIP flood claims by storm](https://restoreworth.com/storms/): paid NFIP building claims of 42 named hurricanes and tropical storms since 2005, with NHC landfalls and reports. Not repair cost.
- [Flood data method](https://restoreworth.com/flood-data/methodology/): how the state, county and storm pages are computed from FEMA OpenFEMA and NHC files, what the figures are not, and every source with its filters.
- [RestoreWorth FEMA Data — MCP server](https://restoreworth.com/mcp.html): remote MCP server at https://restoreworth.com/api/mcp (Streamable HTTP, read-only, no key) serving the FEMA figures of the open data pages; tools nfip_claims_by_state, nfip_claims_by_county, flood_damage_by_water_depth, county_profile, list_sources. Amounts paid by NFIP, not repair cost.

## Reference

- [Property restoration cost atlas](https://restoreworth.com/restoration-costs.html): find the right calculator by room, material or damage type.
- [Data and methodology](https://restoreworth.com/methodology.html): the published cost guides behind each rate, the assumptions with no source, and what is still unreviewed.
- [About](https://restoreworth.com/about.html)
- [Editorial standards](https://restoreworth.com/editorial-standards.html)
- [Contact](https://restoreworth.com/contact.html): contact@restoreworth.com for corrections to a figure or a source that moved.
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Added 10/17/2026

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restoreworth.com - AI readiness audit | llmsmap.me