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Original Data & Framework

The Roofing AI Visibility Score: How It's Calculated

Direct Answer

What is the AI Visibility Score and how is it calculated?

The AI Visibility Score is a 0–100 estimate of how well a roofing company's website is structured to be quoted by AI answer engines like ChatGPT, Google AI Overviews, and Perplexity. It combines four weighted inputs — structured data coverage, answer-formatted content, entity clarity, and citation-readiness — into a single directional score. It is a diagnostic estimate, not a guarantee of AI citations or rankings.

Purpose

Roofing contractors increasingly lose visibility not because their service is worse, but because their websites are hard for AI answer engines to parse and quote. The AI Visibility Score gives owners a single, repeatable diagnostic that translates abstract 'AEO readiness' into something they can track and improve over time.

Why a single score

Owners don't have time to audit schema markup or content structure line by line. A 0–100 score collapses dozens of technical signals into one number that trends up as a site becomes more quotable, making progress legible without requiring technical expertise.

What it does not measure

The score does not measure ad performance, close rates, or whether a specific AI engine will actually cite a page on a given day. AI engines change their selection logic frequently, so the score reflects readiness and structure — the factors a contractor can control — rather than guaranteed placement.

Inputs

Structured data coverage (35%)
Presence and validity of Organization, LocalBusiness, FAQPage, and Service schema across key pages.
Answer formatting (30%)
Whether pages lead with a direct, self-contained answer and use clear question-based headings.
Entity clarity (20%)
Consistency of business name, service areas, and service definitions across the site and the web.
Citation-readiness (15%)
Presence of stated methodology, dates, and verifiable claims that AI engines prefer to quote.

How the calculation works

Score = (StructuredData × 0.35) + (AnswerFormatting × 0.30) + (EntityClarity × 0.20) + (CitationReadiness × 0.15) Each input is scored 0–100 by automated checks plus a manual review pass, then weighted and summed. The result is rounded to the nearest whole number.

Example calculation

Structured data coverage70 × 0.35 = 24.5
Answer formatting55 × 0.30 = 16.5
Entity clarity80 × 0.20 = 16.0
Citation-readiness40 × 0.15 = 6.0
Estimated AI Visibility Score63 / 100

Assumptions & disclaimer

  • Inputs are assessed at a single point in time and can change as the site or AI engines change.
  • Weights reflect our current view of what AI engines reward and are reviewed periodically.
  • A higher score indicates better structural readiness, not a promise of citations, rankings, or leads.
  • Manual review introduces some subjectivity, particularly for entity clarity.

The AI Visibility Score is a diagnostic estimate provided for informational purposes. It does not guarantee that any AI engine will cite your website, that your search rankings will improve, or that you will receive more leads. Results vary by market, competition, and factors outside RooferFuel.ai's control.

Frequently Asked Questions

No. The score estimates how well-structured and quotable your site is. AI engines decide independently what to cite, and their logic changes often. A higher score improves readiness but guarantees nothing.
It is recalculated whenever your site's content or structured data changes materially, or when we update the framework's weights.
Yes. An AI visibility audit breaks the score into its four inputs so you can see which area — structured data, formatting, entity clarity, or citation-readiness — has the most room to improve.

Related Pages

Data & Reports

Want your own AI Visibility Score?

Book a free AI visibility audit and we'll calculate your score, break down all four inputs, and show you exactly what to fix first.

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