CiteWorks Studio

Power Home Remodeling AI Market Strategy Report - Roofing Companies

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Power Home Remodeling had 2.41% valid recommendation coverage across 539 qualified roofing observations, with 3.71% overall mention presence.
  • The brand’s sentiment was strong at 0.70, with 14 positive mentions, 6 neutral mentions, and no negative mentions.
  • Its main weakness was shortlist placement: a 1.11% top-three rate and 0.19% rank-one rate show it was mentioned more often than chosen.
  • Copilot and AI Mode showed the clearest traction, while ChatGPT and Perplexity returned no public presence for the brand in this benchmark.

Answer Capsule

Power Home Remodeling holds a small but positive position in AI-generated roofing recommendations for September 2026, with 2.41% valid recommendation coverage across 539 qualified observations. The brand is visible in 3.71% of AI responses and carries a net sentiment score of 0.70, one of the higher framing scores in the tracked set. Its clearest weakness is recommendation placement: a 1.11% top-three rate and a 0.19% rank-one rate mean the brand is named far more often than it is chosen. The clearest opportunity is converting that positive framing into shortlist eligibility inside the Brand Recommendation cluster, where all qualified observations in this benchmark currently sit.

Who This Report Is For

This report is written for Power Home Remodeling marketing, brand, and growth leaders who need to understand how AI search and chat surfaces describe and recommend the company against national roofing manufacturers and regional installer brands.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Power Home Remodeling

Category / market studied

Roofing Companies

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1 active (Brand Recommendation)

AI observations analyzed

539 qualified observations

Competitors tracked

9

Executive Summary

Power Home Remodeling is visible but under-recommended in the September 2026 roofing benchmark. The brand appeared in 20 of 539 qualified observations, a raw mention presence rate of 3.71%, and received 13 valid recommendations, a valid recommendation coverage rate of 2.41%. That places it ninth of ten tracked brands on recommendation coverage, ahead of only DECRA, which recorded zero.

The framing around the brand is strong. Power Home Remodeling recorded 14 positive mentions, 6 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.70. Only Malarkey (0.87), Atlas Roofing (0.77), and Erie Home (0.70) sit at or above that level, and Power Home Remodeling matches Erie Home exactly. The benchmark shows the brand is described favorably when it appears.

The gap is positional. Power Home Remodeling holds a top-three rate of 1.11% and a rank-one rate of 0.19%, meaning it earned a single first-position recommendation across the entire qualified set. Its average recommended rank of 2.57 is competitive among the small-count brands, but it rests on a very narrow base of rank-eligible recommendations.

The strongest platform signal for Power Home Remodeling is Copilot, where the brand recorded a 2.82% valid recommendation coverage rate and a 2.82% rank-one rate on 2 valid recommendations. AI Mode also produced measurable recommendation activity, with a 2.07% coverage rate and 3 valid recommendations. ChatGPT and Perplexity returned no public presence for the brand in this packet.

The clearest platform gap is the absence of Power Home Remodeling from ChatGPT and Perplexity responses entirely. Both surfaces produced qualified observations in September 2026, and the brand did not appear in either. For an installer brand competing against manufacturer names, that absence narrows the buyer shortlist before the brand is even considered.

The category context matters here. GAF leads the index at 54.55% valid recommendation coverage, Owens Corning follows at 54.36%, and CertainTeed sits at 52.13%. The top four brands cluster between 42.67% and 54.55%. Power Home Remodeling operates in a different tier, alongside Erie Home and DECRA, where counts are small and month-to-month movement is directionally indicative rather than statistically robust.

What Power Home Remodeling Is Winning

Questions This Section Answers

  • Where is Power Home Remodeling actually winning in AI roofing recommendations?
  • Which platforms are producing the strongest recommendation signal for the brand?
  • Why should these wins be read with caution?

The clearest win is framing quality. Power Home Remodeling recorded zero negative mentions across 20 appearances, and its 0.70 net sentiment score places it in the top half of the tracked set. The benchmark shows AI systems describe the brand positively when they surface it.

The second win is Copilot performance. On Copilot, Power Home Remodeling recorded a 2.82% valid recommendation coverage rate and a 2.82% rank-one rate, with 2 valid recommendations and 2 top-three placements. That is a narrow pocket, but it is a real one: when Copilot recommends the brand, it places it at or near the front.

The third win is AI Mode presence. Power Home Remodeling recorded 3 valid recommendations and 2 top-three placements on AI Mode, with a 2.07% coverage rate. AI Mode carries the largest share of category opportunity in the dataset, so any measurable presence there is meaningful for an installer brand.

These are small-count wins. The benchmark notes that Erie Home rests on 14 valid recommendations and Power Home Remodeling on 13, and that these figures are directionally indicative, not statistically robust. The wins are real but narrow.

Where Power Home Remodeling Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Power Home Remodeling get named more often than it gets shortlisted?
  • Which AI platforms are missing the brand entirely?
  • Which competitors are taking the shortlist positions that Power Home Remodeling is losing?

The primary gap is recommendation conversion. Power Home Remodeling is mentioned in 3.71% of qualified observations but receives valid recommendation credit in only 2.41%. That is a conversion ratio of roughly 65%, which trails the leaders. GAF converts 97.77% presence into 54.55% coverage, and Owens Corning converts 94.25% into 54.36%. Power Home Remodeling is being named in contexts where it is not being shortlisted.

The second gap is platform absence. ChatGPT and Perplexity produced qualified observations in September 2026, and Power Home Remodeling did not appear in either. The brand's entire measurable presence sits on Copilot, Gemini, AI Mode, and AI Overviews. For a buyer asking ChatGPT for a recommended roofing installer, the brand is not in the answer.

The third gap is displacement by manufacturer brands. In the Brand Recommendation cluster, the brands taking shortlist positions ahead of Power Home Remodeling are GAF, Owens Corning, CertainTeed, and Malarkey, all of which hold coverage rates between 42.67% and 54.55%. Erie Home, the closest comparable installer brand, holds 2.60% coverage and 14 valid recommendations, slightly ahead of Power Home Remodeling on both counts.

The fourth gap is the absence of comparison and pricing signal. The benchmark recorded zero qualified observations in the Pricing & Value and Multi-Brand Comparison classes in September 2026. For an installer brand whose commercial differentiation often sits in cost, warranty, and head-to-head comparison, the public benchmark cannot yet show where the brand wins or loses those conversations.

Biggest Opportunity

Questions This Section Answers

  • What is the single biggest opportunity for Power Home Remodeling in AI roofing recommendations?
  • What specific work would convert the brand's positive framing into shortlist eligibility?

The single biggest opportunity is converting positive framing into shortlist eligibility inside the Brand Recommendation cluster. Power Home Remodeling already earns favorable descriptions when it appears, with zero negative mentions and a 0.70 sentiment score. The brand does not need to fix its reputation in AI answers. It needs to appear in more of the recommendation sets where buyers are asking which roofing company to choose.

That work is specific: identify the prompt types where the brand is named but not shortlisted, identify the surfaces where it is absent entirely, and build the owned and third-party evidence layer that AI systems retrieve when forming a shortlist. The Copilot and AI Mode pockets show the brand can earn top-three placement. The task is widening those pockets.

Competitive Landscape

Questions This Section Answers

  • Which roofing brands hold the strongest recommendation-stage positions?
  • Where does Power Home Remodeling rank on top-three and rank-one rates among the tracked brands?
  • How does the brand's ranking compare to Erie Home, the closest installer competitor?

GAF and Owens Corning hold recommendation-stage strength in the roofing category, with CertainTeed close behind and Malarkey rounding out the top cluster. Power Home Remodeling sits in the small-count tier alongside Erie Home and DECRA, where presence is measurable but shortlist conversion remains narrow.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

GAF

44.34%

24.12%

1.70

0.6584

Owens Corning

42.30%

11.32%

2.12

0.6634

CertainTeed

40.07%

9.46%

2.29

0.6506

Malarkey

4.08%

0.74%

3.92

0.8676

TAMKO

2.23%

0.74%

4.47

0.3779

IKO

1.11%

0.19%

4.92

0.4571

Erie Home

1.11%

0.74%

2.14

0.6957

Power Home Remodeling

1.11%

0.19%

2.57

0.7000

Atlas Roofing

0.74%

0.37%

4.69

0.7740

DECRA

0.00%

0.00%

N/A

0.2500

Average recommended rank covers rank-eligible recommendations only.

Power Home Remodeling ranks eighth of ten on top-three rate and sits in a three-way tie with Erie Home and IKO at 1.11%. Its rank-one rate of 0.19% is the lowest among brands with any rank-one credit, matched only by IKO. Its average recommended rank of 2.57 rests on a very small base, and the benchmark flags these counts as directionally indicative rather than robust.

Prompt Evidence

Questions This Section Answers

  • Which prompts produced top-three placements for Power Home Remodeling on Copilot and AI Mode?
  • Which prompts returned no presence for the brand on ChatGPT and Perplexity?

Copilot / Brand Recommendation Prompt: "What are the best shingles to buy?" Result: Power Home Remodeling appeared in a valid recommendation shortlist and earned a top-three placement, one of two Copilot top-three results for the brand.

AI Mode / Brand Recommendation Prompt: "How do you pick a good roofer?" Result: Power Home Remodeling received a valid recommendation and a top-three placement, contributing to its 2.07% AI Mode coverage rate.

ChatGPT / Brand Recommendation Prompt: "roofing shingles" Result: Power Home Remodeling did not appear in the response. ChatGPT returned no public presence for the brand in this packet.

Perplexity / Brand Recommendation Prompt: "How do you find a good roofer?" Result: Power Home Remodeling did not appear in the response. Perplexity returned no public presence for the brand in this packet.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where Power Home Remodeling is named, shortlisted, or absent, and identify which surfaces and question types produce the strongest and weakest outcomes.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where the brand is closest to shortlist eligibility, starting with Copilot and AI Mode where top-three placement is already occurring.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content assets that answer installer-selection questions directly, so AI systems have a clear, retrievable source for why Power Home Remodeling belongs in a shortlist.

Phase 4: Citation / Authority Layer Development Cultivate the third-party reviews, comparison pages, and trade sources that AI systems appear to retrieve when forming roofing recommendations, particularly on ChatGPT and Perplexity where the brand is currently absent.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence, valid recommendation coverage, top-three rate, rank-one rate, and sentiment month over month to confirm whether shortlist conversion is improving.

Why This Matters

AI systems are now forming the buyer shortlist before a homeowner ever visits a roofing company website. When a buyer asks which roofing company to choose, the answer is assembled from whatever sources the AI system can retrieve and synthesize. Power Home Remodeling is described favorably when it appears, but it appears in a small share of recommendation sets and is absent from two major surfaces entirely.

Presence alone is not enough. A brand can be mentioned in an AI answer and still lose the recommendation. The next move for Power Home Remodeling is targeted correction of the prompt, page, and citation layers that determine whether the brand is named, shortlisted, and placed at the front of the answer.

Core Metrics

Metric

Value

Mentions

20

Valid recommendations

13

Top 3 recommendation count

6

Rank #1 recommendation count

1

Average recommended rank

2.57

Positive mentions

14

Neutral mentions

6

Negative mentions

0

Raw mention presence rate

3.71%

Valid recommendation coverage

2.41%

Top 3 recommendation rate

1.11%

Rank #1 recommendation rate

0.19%

Net sentiment score

0.70

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Copilot

Sentiment Score

Questions This Section Answers

  • How is the sentiment score calculated for Power Home Remodeling?
  • Why is classified sentiment more useful than raw mention counts for the brand?

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

For Power Home Remodeling in September 2026: (14 × 1 + 6 × 0 + 0 × -1) / 20 = 0.70.

This matters because unclassified mention counts are misleading. A brand that appears 20 times with 14 positive mentions and 6 neutral mentions is in a different position than a brand that appears 20 times with 10 positive and 10 negative mentions, even though both have 20 mentions. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates brands that are being recommended from brands that are merely being named.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Copilot

2

2

0

0

1.00

Strongest public recommendation signal

AI Mode

8

3

5

0

0.375

Present, but not recommendation-led

Gemini

8

7

1

0

0.875

Positive, but sample too small

AI Overviews

2

2

0

0

1.00

Positive, but sample too small

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Perplexity

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Power Home Remodeling within the Roofing Companies category, drawn from the LLM Authority Index AI Market Discovery Index for September 2026 and the associated metrics aggregation file.
  2. The reporting window is September 2026, with comparison points from July 2026 and August 2026 where the benchmark provides them.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Grok observations were tracked separately and are not counted toward the six-family qualified surface breadth calculation.
  4. The September 2026 run began with 800 source prompt-surface observations and produced 539 qualified benchmark observations after qualification.
  5. The competitor universe contains ten tracked brands: Atlas Roofing, CertainTeed, DECRA, Erie Home, GAF, IKO, Malarkey, Owens Corning, Power Home Remodeling, and TAMKO.
  6. All qualified observations in September 2026 fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters produced zero qualified observations, so the public benchmark cannot answer pricing or head-to-head comparison questions.
  7. Stage 0 extraction retains the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment and is not automatically proof that the source caused the recommendation.
  8. A mention is counted when Power Home Remodeling appears in an AI response within a qualified observation, regardless of whether the brand is recommended.
  9. A valid recommendation is counted when the brand appears in a recommendation shortlist within a qualified observation. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Brand-level percentages use the 539 qualified observations as the public denominator, not the 800 raw prompts. Changes in the qualified set can affect rates even when raw prompt counts are stable.
  11. Unique question count for September 2026 was 492 after de-duplication. The public version does not expose the full unique prompt list.
  12. Small-count movements should be read with caution. Power Home Remodeling's 13 valid recommendations and 20 mentions are directionally indicative, not statistically robust. A single monthly movement should not be treated as a trend on its own.

See Where AI Is Recommending Your Brand

The public benchmark shows where Power Home Remodeling stands in AI-generated roofing recommendations. A company-level AI visibility audit shows which high-intent prompts the brand is winning and losing, which competitors take the recommendation when the brand is passed over, and which sources AI systems retrieve when forming the answer.

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AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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