Renewal by Andersen AI Visibility Market Strategy Report - Window Replacement

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Renewal by Andersen ranks second in rank-one placement but seventh in valid recommendation coverage.
  • Perplexity and Copilot show the brand’s strongest recommendation performance, while Google AI Overviews is the weakest surface.
  • The main issue is breadth: the brand is named first when it appears, but it appears too infrequently on high-volume surfaces.
  • Negative framing is limited overall, but the brand has more negative mentions than leading competitors.

Answer Capsule

Renewal by Andersen holds real recommendation-stage strength in the October 2026 Window Replacement benchmark, but it is concentrated in first-position placement rather than broad coverage. The brand recorded a 38.44% valid recommendation coverage rate, a 25.88% top-three rate, and a 20.98% rank-one rate, the second-highest rank-one rate in the category behind only Andersen. Its clearest weakness is coverage: it sits seventh of ten tracked brands on valid recommendation coverage despite ranking second on first-position placement. The clearest opportunity is converting its strong rank-one signal into wider shortlist presence across the brand recommendation cluster.

Who This Report Is For

This report is written for Renewal by Andersen marketing, brand, and category leaders who need to understand how AI systems present and recommend the brand during buyer discovery, and where the gap sits between being named first and being named often.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Renewal by Andersen

Category / market studied

Window Replacement

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

3 (1 with qualified data)

AI observations analyzed

653 qualified observations

Competitors tracked

9

Executive Summary

Renewal by Andersen is visible but under-recommended relative to its first-position strength. Across 653 qualified observations in October 2026, the brand appeared in 320 responses (49.00% raw mention presence) and received 251 valid recommendations, a 38.44% valid recommendation coverage rate. That places it seventh of ten tracked brands on the benchmark's primary ranking metric.

The brand's placement profile is its strongest asset. Renewal by Andersen recorded a 25.88% top-three rate and a 20.98% rank-one rate, the second-highest rank-one rate in the category behind Andersen (33.08%) and well ahead of Pella (7.50%) and Marvin (10.41%). When AI systems do recommend the brand, they frequently place it first. The average recommended rank of 2.19 is the third-best in the tracked set.

Sentiment is positive but carries the most negative framing of any leading brand. Of 320 mentions, 255 were positive, 54 neutral, and 11 negative, producing a net sentiment score of 0.7625. That is the lowest net sentiment score among the top seven brands by coverage and the only tracked brand with a double-digit negative mention count.

The strongest platform signal is Perplexity, where Renewal by Andersen recorded a 63.4% valid recommendation coverage rate and a 47.3% rank-one rate, its highest first-position rate on any surface. Copilot also showed strong rank-one behavior at 34.6%. The weakest platform signal is Google AI Overviews, where coverage fell to 25.5% despite the platform carrying the largest share of total opportunity.

All 653 qualified observations fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters returned no qualified data in this measurement period, so price positioning and head-to-head comparison performance have no public signal in this benchmark.

The clearest gap is coverage breadth. Renewal by Andersen converts first-position strength at a high rate but does not appear in enough recommendation shortlists overall. Competitors with weaker rank-one rates, including Pella and Marvin, appear in far more shortlists and hold wider top-three presence.

What Renewal by Andersen Is Winning

Questions This Section Answers

  • Where does Renewal by Andersen rank first most often in AI recommendations?
  • Which platforms show the brand's strongest recommendation placement?

Renewal by Andersen holds the second-highest rank-one rate in the category at 20.98%, more than double Pella's 7.50% and roughly double Marvin's 10.41%. This is a genuine placement advantage: when the brand enters a recommendation set, it frequently leads it.

The brand's average recommended rank of 2.19 is the third-best among tracked brands, behind only Andersen (1.78) and ahead of Pella (2.60) and Marvin (2.76). This confirms that the brand's recommendations cluster near the top of shortlists rather than the bottom.

Perplexity is the strongest surface for the brand, with a 63.4% valid recommendation coverage rate and a 47.3% rank-one rate. Copilot follows with a 48.7% coverage rate and a 34.6% rank-one rate. These two platforms represent the clearest pockets of recommendation strength in the dataset.

The brand also carries a positive net sentiment score of 0.7625, meaning positive framing outweighs negative framing across its mentions. The win here is directional: the brand is framed favorably more often than not, even though its negative count is the highest among leading brands.

Where Renewal by Andersen Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Renewal by Andersen's coverage trail competitors despite strong rank-one placement?
  • Which platforms show the largest coverage gaps compared to Pella and Andersen?
  • What drives the brand's higher negative mention count relative to leading competitors?

The clearest gap is coverage relative to placement. Renewal by Andersen's 38.44% valid recommendation coverage rate sits well below Pella (81.3%), Marvin (68.9%), and Andersen (67.7%), even though the brand's rank-one rate exceeds both Pella and Marvin. The brand is being named first when it appears, but it is not appearing often enough to compete on shortlist presence.

Google AI Overviews is the largest single platform gap. The platform carried the largest share of total monthly opportunity in the dataset, and Renewal by Andersen recorded only a 25.5% valid recommendation coverage rate there, its lowest of any tracked surface. By contrast, Pella recorded 82.4% coverage and Andersen 72.7% on the same platform. This is the widest platform-level displacement in the brand's profile.

Google AI Mode shows a similar pattern. Renewal by Andersen recorded 38.6% coverage on AI Mode against Pella's 69.9% and Andersen's 54.8%. The brand's rank-one rate on AI Mode was 11.5%, well below its Perplexity and Copilot performance.

The negative mention count of 11 is the highest among the top seven brands by coverage and the only double-digit negative count in the tracked set. This does not indicate a sentiment crisis, but it does indicate that a meaningful share of the brand's AI mentions carry cautionary or unfavorable framing that competitors like Marvin (zero negative mentions) and Andersen (zero negative mentions) do not carry.

The brand's top-three rate of 25.88% is strong but sits below Andersen (53.91%), Pella (63.86%), and Marvin (50.84%). The gap between rank-one strength and top-three breadth suggests the brand wins first position in a narrower set of prompts than the category leaders.

Biggest Opportunity

Questions This Section Answers

  • How can Renewal by Andersen convert rank-one strength into broader shortlist presence?
  • Which platforms offer the clearest path to closing the coverage gap?

The single biggest opportunity is converting Renewal by Andersen's rank-one strength into broader shortlist presence on Google AI Overviews and Google AI Mode. These two surfaces carry the largest share of category opportunity in the dataset, and the brand's coverage there trails the category leaders by a wide margin. The brand already demonstrates it can be named first when it appears, particularly on Perplexity and Copilot. The gap is not recommendation quality, it is recommendation frequency on the highest-volume surfaces. Closing that gap would move the brand from a narrow first-position specialist to a broad shortlist presence across the brand recommendation cluster.

Competitive Landscape

Questions This Section Answers

  • How do Pella, Marvin, Andersen, and Renewal by Andersen differ on top-three rate, rank-one rate, and average recommended rank?
  • Why does Renewal by Andersen rank fourth on top-three rate but second on rank-one rate?

Pella and Marvin hold the strongest recommendation-stage positions in the Window Replacement category, with Pella leading on coverage and top-three presence and Marvin holding second place. Andersen leads on rank-one placement and average recommended rank. Renewal by Andersen sits in a distinct position: strong first-position behavior, narrower overall coverage.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Pella

63.86%

7.50%

2.60

0.8830

Andersen

53.91%

33.08%

1.78

0.8752

Marvin

50.84%

10.41%

2.76

0.9038

Renewal by Andersen

25.88%

20.98%

2.19

0.7625

Window World

11.18%

3.68%

3.90

0.8658

JELD-WEN

7.04%

1.07%

4.46

0.7397

Milgard

5.36%

0.77%

4.38

0.8314

ProVia

5.36%

1.68%

4.20

0.9344

Simonton

4.90%

1.38%

4.52

0.8299

Champion Windows

4.29%

0.15%

4.17

0.8889

Average recommended rank covers rank-eligible recommendations only.

Renewal by Andersen ranks fourth on top-three rate but second on rank-one rate, which shows the brand's recommendations cluster near the top of shortlists when they occur. Its average recommended rank of 2.19 is better than Pella's and Marvin's, confirming that placement quality is not the constraint. The constraint is how often the brand enters the shortlist at all.

AI Response Inconsistency Alerts

Questions This Section Answers

  • Which factual conflicts appeared across platforms about Renewal by Andersen?
  • How do ChatGPT and Copilot disagree on the number one window company in America?

Two critical or high-severity factual inconsistencies were detected for Renewal by Andersen across three AI platforms: ChatGPT, Copilot, and Google AI Overviews.

The first conflict concerns the identity of the number one window company in America. When asked "What is the #1 window company in America?", ChatGPT stated that Andersen Corporation is the number one U.S. window company by size and market presence, and that Renewal by Andersen is only the leader in premium replacement windows, citing market research sources including GMInsights, Grand View Research, and Ken Research. Copilot stated that Renewal by Andersen is the number one window company in America, citing a PR Newswire release about J.D. Power satisfaction awards, a This Old House guide, and a Lifestory Research trust ranking. Both answers cannot be correct for the same question. The flagged source on the ChatGPT side cited Andersen Corporation's market share leadership, while the flagged source on the Copilot side cited Renewal by Andersen's customer satisfaction recognition.

The second conflict concerns average cost per window. When asked "What is the best company for window replacement?", ChatGPT stated an average replacement cost of around $584 per window, citing Consumer Affairs, This Old House, and a Renewal by Andersen comparison page. Google AI Overviews stated a higher price range of $1,000 to $2,500 or more per window, citing Consumer Affairs, USA Today, and a regional lifestyle publication. The two stated ranges do not overlap, so both cannot be accurate for the same company's typical pricing. This conflict matters because pricing questions are being asked and answered inconsistently across platforms, even though the public benchmark does not yet score brands on pricing prompts directly.

Prompt Evidence

Perplexity / Brand Recommendation Prompt: "What is the best company for window replacement?" Result: Renewal by Andersen recorded its strongest platform performance here, with a 63.4% valid recommendation coverage rate and a 47.3% rank-one rate on Perplexity.

Google AI Overviews / Brand Recommendation Prompt: "What is the best company for window replacement?" Result: Coverage dropped to 25.5% on this surface, the brand's weakest platform result, while Google AI Overviews also produced a conflicting price range of $1,000 to $2,500 or more per window.

ChatGPT / Brand Recommendation Prompt: "What is the #1 window company in America?" Result: ChatGPT identified Andersen Corporation as the number one U.S. window company and positioned Renewal by Andersen as the premium replacement leader, a materially different framing than Copilot produced for the same question.

Copilot / Brand Recommendation Prompt: "What is the #1 window company in America?" Result: Copilot named Renewal by Andersen as the number one window company in America, citing J.D. Power satisfaction recognition, producing a direct factual conflict with ChatGPT's answer.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map exactly which prompts and surfaces drive Renewal by Andersen's rank-one strength and which drive its coverage gap, with priority on Google AI Overviews and Google AI Mode.

Phase 2: Recommendation Readiness Plan Prioritize the coverage gap over the placement gap, since the brand already converts first position at a high rate when it appears.

Phase 3: Owned Answer Layer Buildout Strengthen owned pages that answer the brand recommendation and comparison questions where the brand is currently absent from shortlists.

Phase 4: Citation / Authority Layer Development Address the source layer behind the number one window company and pricing conflicts, since third-party editorial and review sources dominate the citation mix in this vertical.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment separately each month to confirm whether coverage gains hold without eroding placement strength.

Why This Matters

Questions This Section Answers

  • What commercial risk comes from the gap between mentions and recommendation shortlist presence?
  • Where should correction efforts focus to improve shortlist entry on high-volume surfaces?

AI presence alone is not enough. Renewal by Andersen is mentioned in nearly half of qualified observations, but it enters the recommendation shortlist in only 38.44% of them. A buyer asking an AI system for the best window replacement company may see the brand named first when it appears, or may not see it at all. That inconsistency is the commercial risk.

The next move is targeted correction of the prompt, page, and citation layers that determine whether the brand enters the shortlist on the highest-volume surfaces. Placement quality is already strong. Coverage breadth on Google AI Overviews and Google AI Mode is the constraint that determines how often the brand reaches the buyer at the decision moment.

Core Metrics

Metric

Value

Mentions

320

Valid recommendations

251

Top 3 recommendation count

169

Rank #1 recommendation count

137

Average recommended rank

2.19

Positive mentions

255

Neutral mentions

54

Negative mentions

11

Raw mention presence rate

49.00%

Valid recommendation coverage

38.44%

Top 3 recommendation rate

25.88%

Rank #1 recommendation rate

20.98%

Net sentiment score

0.7625

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

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

For Renewal by Andersen in October 2026: (255 x 1 + 54 x 0 + 11 x -1) / 320 = 244 / 320 = 0.7625.

This matters because unclassified mention counts are misleading. A brand with 320 mentions could look identical to a brand with 320 mentions and a very different mix of positive, neutral, and negative framing. 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. Counting all mentions as wins is bad measurement. Renewal by Andersen's 11 negative mentions are the highest among the top seven brands by coverage, and that distinction disappears entirely if mentions are counted without classification. Classified sentiment is required before interpreting AI visibility.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Perplexity

60

59

1

0

0.9833

Strongest public recommendation signal

Copilot

43

38

5

0

0.8837

Strong first-position signal

ChatGPT

28

21

7

0

0.7500

Present, but not recommendation-led

Gemini

38

31

6

1

0.7895

Present as context, not recommendation

Google AI Mode

100

64

29

7

0.5700

Present, but negative framing concentrated here

Google AI Overviews

51

42

6

3

0.7647

Present, but coverage trails category leaders

Methodology

  1. This report is benchmark-based analysis of the October 2026 Window Replacement measurement period, not a client engagement result.
  2. The reporting window is October 2026, with comparison points from July, August, and September 2026 where the source data provides them.
  3. Six AI/search surfaces were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The October 2026 measurement produced 653 qualified observations from 800 source prompt-surface observations and 507 unique questions.
  5. The competitor universe contains ten tracked brands: Andersen, Champion Windows, JELD-WEN, Marvin, Milgard, Pella, ProVia, Renewal by Andersen, Simonton, and Window World.
  6. All 653 qualified observations fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters returned no qualified data in this period.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is counted when the brand appears anywhere in a qualified AI response, regardless of whether it is recommended.
  9. A valid recommendation is counted only when the brand appears in a usable recommendation shortlist, as marked by the dataset. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Top-three rate and rank-one rate are calculated against the 653 qualified observations, not the raw collection.
  11. Average recommended rank covers rank-eligible recommendations only and is reported as N/A where a brand has no rank-eligible recommendations.
  12. The public benchmark does not measure market share, attributable sales, organic-search ranking, or private channels. A metric movement alone does not establish causality. Source presence is evidence about the information environment, not proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Renewal by Andersen is winning and losing recommendation share across AI surfaces. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, ranking patterns, sentiment framing, and evidence sources behind those movements, and turns them into a prioritized visibility strategy.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT