Andersen AI Visibility Market Strategy Report - Window Replacement

Answer Capsule

Andersen is the rank-one recommendation leader in the October 2026 Window Replacement benchmark, holding a 33.08% rank-one rate and a 1.78 average recommended rank across 653 qualified observations. The brand converts presence into first-position recommendations more effectively than any tracked competitor, including category coverage leader Pella. Its clearest weakness is coverage: at 67.69% valid recommendation coverage, Andersen trails Pella by 13.6 percentage points despite earning top-three placement at a higher rate relative to its presence. The clearest opportunity is closing the coverage gap in the Brand Recommendation cluster while defending its rank-one advantage.

Who This Report Is For

This report is for Andersen marketing, brand, and channel strategy leaders who need to understand how AI search surfaces recommend window replacement brands and where Andersen sits relative to Pella, Marvin, and the rest of the tracked competitive set.

Report Card

Executive Summary

Andersen holds the strongest rank-one recommendation position in the October 2026 Window Replacement benchmark. The brand appeared as the first recommendation in 33.08% of qualified observations, more than four times Pella's 7.50% rank-one rate and more than three times Marvin's 10.41%. Its average recommended rank of 1.78 is the best in the tracked set, meaning that when Andersen is recommended, it is typically recommended first or second.

The brand's presence is strong but not universal. Andersen appeared in 82.24% of qualified observations, behind Pella's 95.56% but ahead of Marvin's 79.63%. Its valid recommendation coverage of 67.69% places it third in the category, behind Pella (81.32%) and Marvin (68.91%). The gap between Andersen's presence rate and its recommendation coverage is 14.6 percentage points, indicating that Andersen is mentioned in some responses without being placed on the recommendation shortlist.

Sentiment is strongly positive. Andersen recorded 470 positive mentions, 67 neutral mentions, and zero negative mentions across the qualified set, producing a net sentiment score of 0.8752. This is the second-highest sentiment score among the top three brands, behind Marvin's 0.9038 and ahead of Pella's 0.8830.

The strongest platform signal for Andersen is Google AI Overviews, where the brand holds a 38.79% rank-one rate and a 1.58 average recommended rank across 165 observations. Gemini also shows strong rank-one performance at 45.98%. The weakest platform signal is Google AI Mode, where Andersen's rank-one rate drops to 24.10% and its coverage sits at 54.82%, well below its overall average.

The clearest gap is coverage relative to Pella. Pella appears in 95.56% of responses and earns a valid recommendation in 81.32%, while Andersen appears in 82.24% and earns a valid recommendation in 67.69%. Andersen wins the first-position battle but loses the presence and shortlist battle. Closing that coverage gap without sacrificing rank-one strength is the central strategic question.

What Andersen Is Winning

Questions This Section Answers

• Where does Andersen lead the Window Replacement benchmark in AI recommendations?
• How does Andersen's rank-one rate compare with Pella and Marvin?
• Which platforms show Andersen's strongest rank-one performance?

Andersen holds the highest rank-one recommendation rate in the Window Replacement benchmark at 33.08%, more than four times Pella's 7.50% and more than three times Marvin's 10.41%. This is the brand's clearest competitive advantage in the October 2026 data.

The brand also holds the best average recommended rank at 1.78, meaning that when Andersen earns a recommendation, it typically appears in the first or second position. Pella's average recommended rank is 2.60, and Marvin's is 2.76.

Andersen recorded zero negative mentions across 653 qualified observations, matching Marvin and Milgard as the only tracked brands with no negative framing in the October 2026 set. Its net sentiment score of 0.8752 reflects 470 positive mentions against 67 neutral mentions.

On Google AI Overviews, Andersen holds a 38.79% rank-one rate and a 1.58 average recommended rank, the strongest platform-level rank-one performance in the tracked set. On Gemini, the brand holds a 45.98% rank-one rate, again the highest among tracked brands on that platform.

Where Andersen Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How large is Andersen's recommendation coverage gap with Pella?
• Which platform shows the clearest coverage weakness for Andersen?
• Why can't Andersen's pricing and comparison performance be assessed from this dataset?

Andersen's primary gap is coverage relative to Pella. Pella earns a valid recommendation in 81.32% of qualified observations, while Andersen earns one in 67.69%. That 13.6 percentage point gap means Pella is shortlisted in roughly one additional response out of every seven where Andersen is not.

The gap is not a presence problem alone. Andersen appears in 82.24% of responses, which is 13.3 percentage points behind Pella's 95.56%. But the recommendation coverage gap (13.6 points) is slightly wider than the presence gap (13.3 points), meaning Andersen also converts presence to recommendation at a marginally lower rate than Pella.

On Google AI Mode, Andersen's coverage drops to 54.82%, well below its overall 67.69%. Its rank-one rate on that platform is 24.10%, compared to 38.79% on Google AI Overviews and 45.98% on Gemini. Google AI Mode represents the clearest platform-level gap.

The benchmark's qualified observations all fall into the Brand Recommendation cluster. Pricing and Value and Multi-Brand Comparison clusters have no qualified data in the October 2026 public series, so Andersen's performance on pricing or head-to-head comparison prompts cannot be assessed from this dataset.

Biggest Opportunity

The clearest opportunity for Andersen is closing the recommendation coverage gap with Pella in the Brand Recommendation cluster while defending its rank-one advantage. Andersen already wins the first-position battle decisively. The gap is in how often the brand appears on the shortlist at all.

If Andersen increased its valid recommendation coverage from 67.69% to Pella's 81.32% while maintaining its current rank-one rate, it would capture a larger share of recommendation-shaped answers without needing to displace Pella from first position. The brand's 1.78 average recommended rank suggests that when it does appear, it is already positioned favorably. The opportunity is breadth, not depth.

Competitive Landscape

Questions This Section Answers

• How do Pella, Andersen, and Marvin compare on coverage and rank-one strength?
• Which brand has the strongest top-three recommendation rate?

Pella holds the strongest recommendation-stage position in the Window Replacement category by coverage, while Andersen holds the strongest rank-one position. Marvin sits between them on coverage and behind both on rank-one strength.

Average recommended rank covers rank-eligible recommendations only.

Andersen ranks second by top-three rate at 53.91%, behind Pella's 63.86% and ahead of Marvin's 50.84%. Its rank-one rate of 33.08% is the highest in the table by a wide margin. The data shows that Andersen is recommended less often than Pella overall but is recommended first far more often when it does appear.

Prompt Evidence

Questions This Section Answers

• Which prompts produced Andersen's strongest rank-one performance?
• Where did Andersen's prompt-level coverage fall below its overall average?

Google AI Overviews / Brand Recommendation Prompt: "What company is best for windows?" Result: Andersen appeared as the first recommendation with a 38.79% rank-one rate on this platform, the highest among tracked brands.

Google AI Mode / Brand Recommendation Prompt: "best window replacement companies" Result: Andersen's coverage on Google AI Mode was 54.82%, below its overall average, with a rank-one rate of 24.10%.

ChatGPT / Brand Recommendation Prompt: "replacement windows near me" Result: Andersen held a 35.94% rank-one rate on ChatGPT, with a 1.61 average recommended rank across 64 observations.

Perplexity / Brand Recommendation Prompt: "best window company" Result: Andersen held a 17.20% rank-one rate on Perplexity, with a 2.56 average recommended rank across 93 observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map exactly which prompts Andersen wins, which it loses to Pella, and where the coverage gap concentrates across platforms and prompt types.

Phase 2: Recommendation Readiness Plan Identify the specific prompt clusters and platform surfaces where Andersen is present but not shortlisted, and prioritize the highest-impact gaps.

Phase 3: Owned Answer Layer Buildout Strengthen Andersen's owned content so that AI systems can retrieve clear, structured answers about the brand's product range, positioning, and differentiators.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems draw on, including review sites, comparison guides, and editorial coverage that support recommendation-stage visibility.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, rank-one rate, and sentiment month over month to measure whether the coverage gap with Pella is closing.

Why This Matters

Andersen already wins the first-position recommendation battle in AI-generated answers for window replacement. But Pella appears in more responses overall, which means Pella is on more buyer shortlists even when it is not recommended first. In a category where buyers ask AI systems for recommendations and then act on the shortlist, being absent from the shortlist is a bigger risk than being second on it.

The next move is not to defend rank-one strength. It is to close the coverage gap by making Andersen retrievable and recommendable across a wider set of prompts, platforms, and source types. That means targeted correction of the prompt, page, and citation layers that determine whether Andersen appears at all.

Core Metrics

Sentiment Score

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

Andersen's sentiment score is 0.8752, calculated from 470 positive mentions, 67 neutral mentions, and zero negative mentions across 537 total mentions.

This matters because unclassified mention counts are misleading. A brand that appears in 537 responses but is framed negatively in half of them is not in the same position as a brand with the same mention count and no negative framing. Andersen's zero negative mentions is a genuine strength.

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. Classified sentiment is required before interpreting AI visibility, and Andersen's classified sentiment is strongly positive.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Andersen's AI recommendation visibility in the Window Replacement category for October 2026. It is not a client implementation case study.
2. The reporting window is October 2026. The benchmark series spans July 2026 through October 2026.
3. Six AI search platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The October 2026 measurement produced 653 qualified observations from 800 prompt-surface observations, after removing 33 irrelevant responses.
5. The competitor universe includes 10 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. Pricing and Value and Multi-Brand Comparison clusters had no qualified data in the public series.
7. Stage 0 extraction retained the query, AI search surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is counted when a tracked brand appears in an AI response, regardless of whether it is recommended.
9. A valid recommendation is counted when a brand appears in a usable recommendation shortlist, distinct from raw mention presence.
10. Top-three rate measures the share of qualified observations where a brand appeared in the top three recommended positions.
11. Rank-one rate measures the share of qualified observations where a brand was the first recommendation.
12. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are excluded from that metric.
13. The public benchmark uses the qualified observation set as the denominator for all brand-level percentages, not the raw collection.
14. Movement identification is not causation. Significant rises and declines mark where to investigate, not why the change happened.
15. Source presence in AI responses is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Andersen stands in AI-generated recommendations for window replacement. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and source patterns behind those numbers, and identifies where the coverage gap with Pella can be closed.