Andersen AI Market Strategy Report - Window Replacement

Answer Capsule

Andersen holds the second position in AI-driven window replacement recommendations, with a monthly AI Authority Value of $1.88M and a 9.9% captured share of the total modeled opportunity. The benchmark shows Andersen is the most trusted brand for high-intent pricing and cost queries, capturing the highest single-cluster value in the dataset at $1.12M. Andersen achieves the lowest average recommended rank in the category at 1.77, meaning when AI systems recommend the brand, they tend to place it first or second. The clearest weakness is a lower valid recommendation coverage rate of 33.8% compared to Pella's 50.9%, indicating that Andersen appears in AI responses less frequently and converts presence into recommendations at a lower rate. The clearest opportunity is expanding recommendation coverage in the consideration-stage Best Windows & Doors Brands cluster, where Pella currently leads by a wide margin.

Who This Report Is For

This report is for marketing, brand, and digital strategy leaders at Andersen who need to understand how AI systems are recommending the brand across major buying stages and platforms in the window replacement category.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: Andersen
• Category / market studied: Window Replacement
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
• Public high-intent clusters: 3 (Best Windows & Doors Brands, Windows & Doors Brand Comparisons, Windows & Doors Pricing & Cost)
• AI observations analyzed: 1,280
• Competitors tracked: 10

Executive Summary

Andersen holds the second position in AI-driven window replacement recommendations, with a monthly AI Authority Value of $1.88M and a 9.9% captured share of the total modeled opportunity of $18.97M. The benchmark reveals a brand with strong recommendation quality but narrower coverage than the category leader.

Andersen achieved 529 positive mentions, 52 neutral mentions, and 1 negative mention across 1,280 observations, yielding a net sentiment score of 0.907. The brand appears in 45.5% of all prompts but earns a valid recommendation in only 33.8% of them, indicating a gap between presence and shortlist inclusion.

The strongest cluster for Andersen is Windows & Doors Pricing & Cost, where it captured $1.12M in AI Authority Value, the highest single-cluster value in the entire dataset. This decision-stage cluster carries a 1.5x buyer stage multiplier, reflecting the highest commercial intent. Andersen achieved a 32.9% top-three rate and a 22.7% rank-one rate in this cluster, outperforming Pella in rank-one placement.

The weakest cluster is Best Windows & Doors Brands, where Andersen captured $290.8K in AI Authority Value compared to Pella's $393.5K. Andersen's 24.6% top-three rate in this consideration-stage cluster trails Pella's 41.0%, suggesting that AI systems are less likely to surface Andersen when buyers are beginning their research.

The strongest platform signal is Google AI Mode, where Andersen achieved a 27.9% rank-one rate and a $546.7K AI Authority Value. The clearest platform gap is on Google AI Overviews, where Andersen captured $242.7K compared to Pella's $401.7K, despite having a higher raw mention presence rate on that platform.

What Andersen Is Winning

Andersen is winning the decision-stage pricing and cost cluster. With a monthly AI Authority Value of $1.12M in the Windows & Doors Pricing & Cost cluster, Andersen captured the highest single-cluster value in the dataset. This cluster carries a 1.5x buyer stage multiplier, reflecting the highest commercial intent. Andersen achieved a 32.9% top-three rate and a 22.7% rank-one rate in this cluster, meaning that when buyers ask AI systems about pricing and cost, Andersen is frequently the first recommendation.

Andersen has the best average recommended rank in the category. At 1.77 across all platforms, Andersen is placed first or second more consistently than any other brand when it receives a recommendation. This includes a 1.53 average rank in the pricing cluster and a 1.51 average rank on Gemini.

Andersen leads on Google AI Mode. With a 27.9% rank-one rate and a $546.7K AI Authority Value, Andersen performs strongest on this platform. Google AI Mode appears to favor structured, authoritative content, which aligns with Andersen's citation architecture.

Andersen has the highest overall rank-one rate in the category. At 19.4%, Andersen is recommended first more often than any other brand, including Pella at 13.1%. This suggests that when AI systems choose Andersen, they tend to place it at the top of the shortlist.

Where Andersen Has the Clearest AI Visibility Gaps

Andersen has a lower valid recommendation coverage rate than Pella. Andersen earns a valid recommendation in 33.8% of its appearances, compared to Pella's 50.9%. This means that in nearly two-thirds of the prompts where Andersen appears, it is mentioned without being recommended. Pella, by contrast, is recommended in more than half of its appearances.

Andersen trails Pella in the consideration-stage cluster. In Best Windows & Doors Brands, Andersen captured $290.8K in AI Authority Value compared to Pella's $393.5K. Andersen's 24.6% top-three rate in this cluster is significantly below Pella's 41.0%. Buyers who are beginning their research are more likely to see Pella than Andersen in the top three positions.

Andersen has a lower raw mention presence rate than Pella. Andersen appears in 45.5% of all prompts, while Pella appears in 66.6%. This 21 percentage point gap means that Pella is surfaced in AI responses more frequently across all buying stages.

Andersen underperforms on Google AI Overviews relative to its overall strength. Despite a 59.4% raw mention presence rate on this platform, Andersen captured only $242.7K in AI Authority Value compared to Pella's $401.7K. Pella's 63.8% valid recommendation coverage rate on Google AI Overviews far exceeds Andersen's 42.0%, suggesting that Pella's content is better structured for this summary format.

Andersen carries a measurable neutral visibility rate. At 8.9% of its mentions classified as neutral, Andersen is referenced factually in a portion of AI responses without advancing into a recommendation position. Each neutral mention represents a buyer interaction where Andersen was present but not selected for the shortlist.

Biggest Opportunity

The biggest opportunity for Andersen is expanding recommendation coverage in the consideration-stage Best Windows & Doors Brands cluster. Andersen currently captures $290.8K in this cluster compared to Pella's $393.5K, a gap of $102.7K. This cluster represents buyers who are beginning their research and have not yet narrowed their options. Winning more top-three positions in this cluster would increase the pool of buyers who consider Andersen from the start of their journey, rather than only when they reach pricing and cost queries. The opportunity is to build the citation architecture and source evidence that AI systems use to recommend brands in consideration-stage prompts, where Pella currently holds a structural advantage.

Prompt Evidence

Google AI Mode / Windows & Doors Pricing & Cost Prompt: "What are the average costs for Andersen vs Pella windows?" Result: Andersen was recommended first with a rank-one placement, reflecting its strength in decision-stage pricing queries.

Perplexity / Best Windows & Doors Brands Prompt: "What are the best window replacement brands for energy efficiency?" Result: Andersen appeared in the response but was placed behind Pella in the recommendation order, consistent with its lower top-three rate in this cluster.

Gemini / Windows & Doors Brand Comparisons Prompt: "Compare Andersen and Marvin windows for durability and warranty." Result: Andersen received a positive recommendation with a rank-two placement, showing strong performance in comparison-stage queries.

ChatGPT / Windows & Doors Pricing & Cost Prompt: "How much do Andersen replacement windows cost per window installed?" Result: Andersen was recommended first with a rank-one placement, reinforcing its leadership in pricing-related prompts.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the full prompt landscape across all 10 clusters to identify which specific queries drive the gap between Andersen's presence and recommendation coverage.

Phase 2: Recommendation Readiness Plan Analyze the source layers that AI systems use to recommend Pella in consideration-stage prompts and identify the specific evidence gaps that prevent Andersen from earning similar recommendation rates.

Phase 3: Owned Answer Layer Buildout Structure Andersen's owned content for AI retrieval, particularly around brand comparison, product specifications, and energy efficiency claims that appear in consideration-stage queries.

Phase 4: Citation / Authority Layer Development Expand third-party validation across independent review sites, comparison articles, and industry publications to strengthen the evidence base for AI systems to recommend Andersen in early-stage prompts.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Andersen's recommendation coverage, top-three rate, and rank-one rate across platforms and clusters to measure progress and identify emerging gaps.

Why This Matters

AI systems are concentrating buyer shortlists around a small set of brands in the window replacement category. Andersen holds a strong position in decision-stage pricing and cost queries, where it is frequently recommended first. But buyers who use AI to begin their research are more likely to see Pella in the top three positions, which means Andersen is entering the consideration set later in the buyer journey.

Presence in AI responses is not enough. Andersen appears in 45.5% of all prompts but is recommended in only 33.8% of them. The gap between visibility and recommendation is where competitors capture demand. The next move for Andersen is to build the citation architecture and source evidence that AI systems use to recommend brands in consideration-stage prompts, converting more of its visibility into shortlist positions.

Core Metrics

• Mentions: 582
• Valid recommendations: 432
• Top 3 recommendation count: 367
• Rank #1 recommendation count: 248
• Average recommended rank: 1.77
• Positive mentions: 529
• Neutral mentions: 52
• Negative mentions: 1
• Raw mention presence rate: 45.5%
• Valid recommendation coverage: 33.8%
• Top 3 recommendation rate: 28.7%
• Rank #1 recommendation rate: 19.4%
• Strongest cluster by recommendation behavior: Windows & Doors Pricing & Cost
• Strongest platform by recommendation behavior: Google AI Mode

Sentiment Score

Sentiment Score = (529 x 1 + 52 x 0 + 1 x -1) / 582 = 528 / 582 = 0.907

This score means that 90.7% of Andersen's mentions in AI responses are positive, with 8.9% neutral and 0.2% negative. This is a strong sentiment score, but it does not capture the full picture. Unclassified mention counts can be misleading because a positive mention is not the same as a recommendation. 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.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of AI recommendation visibility for Andersen in the window replacement category, powered by the LLM Authority Index. It is not a client implementation case study.
2. Data was collected in June 2026 as a snapshot-based measurement.
3. Six AI platforms were tested: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
4. A total of 1,280 observations were analyzed across all platforms and clusters. The exact prompt count was not provided in the public dataset.
5. The competitor universe includes 10 brands: Andersen, Champion Windows, JELD-WEN, Marvin, Milgard, Pella, ProVia, Renewal by Andersen, Simonton, and Window World. This is not a complete market census.
6. Three public high-intent clusters were analyzed: Best Windows & Doors Brands (consideration stage, 1.0x multiplier), Windows & Doors Brand Comparisons (evaluation stage, 1.25x multiplier), and Windows & Doors Pricing & Cost (decision stage, 1.5x multiplier). The full report includes 10 clusters.
7. Stage 0 refers to the raw extraction of AI responses before classification and scoring.
8. A mention means the company appeared in an AI-generated response, regardless of sentiment or rank.
9. A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns recommendation credit. Visibility is not the same as recommendation credit.
10. Limitations: This is a point-in-time benchmark. AI outputs can change with model updates, source changes, and content shifts. Modeled values are estimates based on commercial intent proxies and are not revenue. This report is not a full audit or full market census. The public dataset includes 3 of 10 total clusters.

See How AI Is Recommending Your Brand

The benchmark shows the market shape. A company-specific analysis would show which prompts your brand wins or loses, which AI platforms are under-recognizing your brand, which source layers are shaping recommendations, and what changes may improve your AI shortlist eligibility. CiteWorks Studio can show where your brand appears, where competitors are recommended instead, which prompts carry the most commercial risk, which sources are shaping AI answers, and what needs to change to improve recommendation-stage visibility.