DECRA AI Market Strategy Report - Roofing Companies

Answer Capsule

DECRA holds no valid recommendation coverage in the September 2026 Roofing Companies benchmark, down from a single valid recommendation in August 2026 and five in July 2026, and now appears in just 0.7% of qualified AI responses. The brand is effectively absent from the recommendation set across all six tracked AI surfaces, with zero top-three placements and zero rank-one placements. Its clearest weakness is total displacement from buyer shortlists in the category's only measured prompt cluster, Brand Recommendation. The clearest opportunity is rebuilding a valid recommendation footprint in the core discovery prompts where competitors like GAF, Owens Corning, and CertainTeed are being named.

Who This Report Is For

This report is for DECRA's marketing, brand, and category leadership teams, and for anyone responsible for how the brand shows up when buyers ask AI systems which roofing companies and materials to consider.

Report Card

Executive Summary

DECRA's position in the September 2026 Roofing Companies benchmark is one of near-total absence from AI-generated recommendations. The brand recorded 0.00% valid recommendation coverage on 539 qualified observations, meaning it did not appear in a single valid recommendation shortlist during the measurement period. This follows a July 2026 reading of 0.9% and a single valid recommendation in August 2026, confirming a two-month erosion pattern.

Raw mention presence tells a similar story. DECRA appeared in just 0.74% of qualified observations in September 2026, down from 3.2% in July 2026. The brand's positive visibility rate fell from 1.7% to 0.2% over the same span, and its sentiment score dropped from 0.5 to 0.25. These are small counts, but the direction is consistent and the brand is now the sole significant decliner in the tracked set.

The benchmark's only active prompt cluster is Brand Recommendation, which captures direct asks for a recommended roofing manufacturer, installer, or product. DECRA's absence from this cluster means the brand is not being surfaced when buyers ask AI systems for roofing options without other constraints. No qualified observations landed in Pricing and Value or Multi-Brand Comparison, so the benchmark cannot yet show how DECRA performs when cost or head-to-head comparison is the deciding factor.

The strongest platform signal for DECRA is effectively nonexistent. The brand recorded zero mentions on ChatGPT, Copilot, Gemini, and AI Overviews. It recorded one mention on Perplexity and two neutral mentions on AI Mode, neither of which converted to a valid recommendation. The AI Mode presence produced a visibility assist value but no recommendation credit.

The clearest gap is the complete absence of recommendation-stage visibility. DECRA is not being named, not being shortlisted, and not being positioned in the category's primary discovery prompts. Competitors including GAF, Owens Corning, CertainTeed, and Malarkey are being recommended at rates between 4.08% and 44.34% top-three placement, while DECRA sits at zero.

The counts here are small: zero valid recommendations in September, one in August, and five in July. The pattern is directionally consistent but rests on a very small base. The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

What DECRA Is Winning

Questions This Section Answers

• Does DECRA have any measurable wins in the September 2026 benchmark?
• Which platforms produced DECRA's only mentions, and did they convert to recommendations?

DECRA has very few evidence-backed wins in the September 2026 benchmark. The brand recorded one positive mention and three neutral mentions across 539 qualified observations, producing a net sentiment score of 0.25. That score is positive in direction but rests on a base of four total mentions, which is too small to treat as a meaningful signal.

The brand's only platform presence was on Perplexity, where it recorded one positive mention, and on AI Mode, where it recorded two neutral mentions. Neither produced a valid recommendation. DECRA did not appear on ChatGPT, Copilot, Gemini, or AI Overviews in any capacity.

There is no cluster where DECRA holds a recommendation advantage. There is no platform where DECRA holds a recommendation advantage. There is no prompt type where DECRA is being shortlisted. The honest assessment is that DECRA has no measurable wins in this benchmark cycle.

Where DECRA Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How large is the top-three recommendation gap between DECRA and the category leaders like GAF and Owens Corning?
• Why does DECRA's mention presence fail to convert into valid recommendations?

DECRA's clearest gap is its complete absence from the valid recommendation set. The brand recorded zero valid recommendations in September 2026, compared with five in July 2026 and one in August 2026. This means AI systems are not naming DECRA when buyers ask for roofing recommendations, and the brand is not appearing in any shortlist that would place it in front of a buyer at the decision moment.

The gap is compounded by declining raw mention presence. DECRA appeared in 0.74% of qualified observations in September 2026, down from 3.2% in July 2026. Even when the brand is mentioned, it is not being recommended. The benchmark distinguishes between presence and recommendation, and DECRA's data shows presence without recommendation conversion.

Competitor displacement is severe. GAF holds 44.34% top-three rate, Owens Corning holds 42.30%, and CertainTeed holds 40.07%. These brands are being shortlisted in a substantial share of qualified observations where a recommendation was ranked. DECRA is being shortlisted in none. The gap between DECRA and the category leaders is more than 40 percentage points.

The brand's platform gaps are equally stark. DECRA recorded zero mentions on ChatGPT, Copilot, Gemini, and AI Overviews. It recorded one mention on Perplexity and two on AI Mode. The brand is effectively invisible on the platforms where most buyer discovery is happening, and its minimal presence on the remaining platforms is not converting to recommendation credit.

Biggest Opportunity

Questions This Section Answers

• Which prompt cluster should DECRA prioritize to rebuild recommendation-stage visibility?
• Why is DECRA's problem a recommendation gap rather than just a raw presence gap?

DECRA's biggest opportunity is rebuilding a valid recommendation footprint in the Brand Recommendation cluster, which is the only active prompt cluster in the benchmark and the one that captures direct buyer asks for roofing recommendations. The brand needs to move from zero valid recommendations to appearing in shortlists when buyers ask AI systems which roofing companies or materials to consider.

This is a recommendation-stage visibility problem, not a raw presence problem alone. DECRA's presence rate is already low, but the more urgent issue is that even when the brand appears, it is not being recommended. The path forward is to ensure DECRA is named in the prompts that matter, and that its name is associated with the attributes AI systems use to build recommendation shortlists.

The benchmark cannot yet show how DECRA performs on pricing or head-to-head comparison prompts, because no qualified observations landed in those clusters. That is a gap in the public data, not a signal that DECRA is performing well or poorly in those contexts. The immediate opportunity is in the Brand Recommendation cluster, where the brand's absence is measurable and the competitive set is clearly defined.

Competitive Landscape

Questions This Section Answers

• Where does DECRA rank against GAF, Owens Corning, and CertainTeed by top-three and rank-one recommendation rates?
• Which competitors hold the strongest recommendation-stage positions in the Roofing Companies category?

GAF and Owens Corning hold recommendation-stage strength in the Roofing Companies category, with CertainTeed forming a strong second tier and Malarkey a distant third. DECRA sits at the bottom of the tracked set with no valid recommendation coverage and no top-three or rank-one placements.

Average recommended rank covers rank-eligible recommendations only.

DECRA's position at the bottom of the table reflects its complete absence from the recommendation set. The brand has no top-three placements, no rank-one placements, and no rank-eligible recommendations, which is why its average recommended rank is shown as N/A. The gap between DECRA and the nearest competitor, Atlas Roofing at 0.74% top-three rate, is less than one percentage point, but the gap to the category leaders is more than 40 points.

Prompt Evidence

Questions This Section Answers

• What happened when DECRA was tested on high-intent roofing prompts across Perplexity and AI Mode?
• Which roofing prompts produced a DECRA mention without a valid recommendation shortlist placement?

AI Mode / Brand Recommendation Prompt: "What are the best shingles to buy?" Result: DECRA received a neutral mention but was not included in the valid recommendation shortlist.

Perplexity / Brand Recommendation Prompt: "roofing shingles" Result: DECRA received a positive mention but was not recommended in the shortlist.

ChatGPT / Brand Recommendation Prompt: "How do you pick a good roofer?" Result: DECRA did not appear in the response.

Gemini / Brand Recommendation Prompt: "asphalt shingles" Result: DECRA did not appear in the response.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where DECRA is absent from the recommendation set, identify which competitors are being named instead, and trace the evidence sources AI systems are drawing from.

Phase 2: Recommendation Readiness Plan Define the attributes, use cases, and proof points that would make DECRA a valid recommendation candidate in the Brand Recommendation cluster, and prioritize the prompts where the gap is largest.

Phase 3: Owned Answer Layer Buildout Build the owned content that answers the questions AI systems are asking, with clear, extractable language that associates DECRA with the attributes buyers use to build shortlists.

Phase 4: Citation and Authority Layer Development Cultivate the third-party sources, industry references, and public evidence that AI systems retrieve when building roofing recommendations, and ensure DECRA is represented in those sources.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track DECRA's presence, valid recommendation coverage, top-three rate, and rank-one rate month over month, and adjust the strategy as the benchmark evolves.

Why This Matters

Questions This Section Answers

• What is the difference between appearing in AI responses and being included in the recommendation set?
• What does zero valid recommendation coverage mean for DECRA's inclusion in buyer consideration sets?

AI presence alone is not enough. DECRA's data shows that a brand can appear in AI responses and still be absent from the recommendation set. The benchmark distinguishes between raw mention presence and valid recommendation coverage, and DECRA's gap is in the recommendation layer, not just the visibility layer.

Buyers are using AI systems to build shortlists, and brands that are not recommended are not being considered. DECRA's zero valid recommendation coverage means the brand is not in the consideration set when buyers ask AI systems for roofing recommendations. The next move is targeted correction of the prompt, page, and citation layers that determine whether DECRA is named, shortlisted, and recommended.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For DECRA in September 2026: (1 × 1 + 3 × 0 + 0 × -1) / 4 = 0.25

This score matters because unclassified mention counts are misleading. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. DECRA's four mentions include one positive mention and three neutral mentions, but none of them converted to a valid recommendation. Counting all mentions as wins would overstate the brand's position.

Share of voice is a diagnostic metric, not a business KPI. DECRA's 0.74% presence rate and 0.25 sentiment score describe the brand's footprint in AI responses, but they do not describe whether the brand is being recommended. The benchmark separates these signals, and DECRA's data shows that presence without recommendation conversion is not a win.

Classified sentiment is required before interpreting AI visibility. DECRA's net sentiment score of 0.25 is positive in direction, but it rests on a base of four total mentions. The score is directionally indicative, not statistically robust. The more important signal is the zero valid recommendation coverage, which is the metric that determines whether DECRA is in the buyer shortlist.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of DECRA's position in the Roofing Companies category, using the LLM Authority Index AI Market Discovery Index for September 2026.
2. The reporting window is September 2026, with comparisons to July 2026 and August 2026 where the data supports them.
3. The benchmark tracked six AI platforms: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The September 2026 measurement analyzed 539 qualified observations, drawn from 800 source prompt-surface observations.
5. The competitor universe includes nine tracked brands: GAF, Owens Corning, CertainTeed, Malarkey, Atlas Roofing, IKO, TAMKO, Erie Home, and Power Home Remodeling.
6. The benchmark's only active prompt cluster is Brand Recommendation, which captures direct asks for a recommended roofing manufacturer, installer, or product.
7. Stage 0 extraction retains the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is counted when DECRA appears in an AI response to a qualified observation, regardless of whether the brand is recommended.
9. A valid recommendation is counted when DECRA appears in a recommendation shortlist, as marked by the dataset.
10. The public denominator is 539 qualified observations, not the 800 raw prompts, so changes in the qualified set can affect rates even when raw prompt counts are stable.
11. DECRA's zero valid recommendation coverage in September 2026 rests on zero valid recommendations, and its presence rate rests on four total mentions. These figures are directionally indicative, not statistically robust.
12. The benchmark identifies where change occurred; it does not by itself establish cause. DECRA's decline may reflect prompt mix, surface coverage changes, or source shifts, and the data alone cannot distinguish among them.

Get Your AI Visibility Audit

DECRA's absence from AI-generated recommendations is a measurable gap that can be addressed with a targeted strategy. A company-level AI visibility audit maps the prompts, platforms, and evidence sources that determine whether DECRA is named, shortlisted, and recommended, and identifies the highest-priority opportunities to rebuild recommendation-stage visibility in the Roofing Companies category.