CiteWorks Studio

Stannah AI Market Strategy Report - Stairlifts

Mark HuntleyBy Mark HuntleyFounder and CEO
4 minutes read

On this report

Key Takeaways

  • Stannah leads the stairlifts category in June 2026 with the highest AI Authority Value ($63,811), 28 valid recommendations, and an average recommended rank of 1.1.
  • Copilot is Stannah's strongest platform, delivering a 12% recommendation rate and 16 rank-one recommendations, which account for more than half of its total modeled value.
  • The biggest weakness is Google AI Mode, where Stannah appears in 48.4% of observations but earns zero valid recommendations despite substantial category opportunity.
  • Stannah is strongest in best-brand and pricing prompts, but it trails Bruno in brand and model comparison queries, where recommendation depth is weaker.

Answer Capsule

Stannah holds the strongest AI recommendation position in the stairlift category for June 2026, leading all competitors with an AI Authority Value of $63,811 and a rank-one rate of 4.4%. The brand appears in 48% of all AI observations and earns 28 valid recommendations, with an average recommended rank of 1.1, meaning when Stannah is recommended, it is almost always the first choice. Stannah's clearest win is on Copilot, where it achieves a 12% recommendation rate with all 16 recommendations at rank one. The clearest gap is on Google AI Mode, where Stannah appears in 48.4% of observations but receives zero valid recommendations. The biggest opportunity is converting its strong neutral visibility on Google AI Mode into recommendation-stage credit.

Who This Report Is For

This report is for Stannah's marketing, brand, and digital strategy teams who need to understand how AI platforms are recommending the brand across buyer discovery, comparison, and pricing research moments.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: Stannah
  • Category / market studied: Stairlifts / Stair Lifts
  • Reporting month: June 2026
  • AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
  • Public high-intent clusters: 3 (Best Stairlift Discovery and Top Recommendations, Stairlift Brand and Model Comparisons, Stairlift Pricing and Cost Research)
  • AI observations analyzed: 587
  • Competitors tracked: Acorn Stairlifts, 101 Mobility, AmeriGlide, Bruno, Handicare, Harmar, Lifeway Mobility, Mobility Plus, Savaria, Stannah

Executive Summary

Stannah leads the stairlift category in AI recommendation strength for June 2026, holding the highest AI Authority Value at $63,811 and the strongest rank-one rate at 4.4%. The brand appears in 282 of 587 total observations, a raw mention presence rate of 48%, and earns 28 valid recommendations across the three public clusters. Stannah's average recommended rank of 1.1 means it is almost always the first brand the AI presents when it earns recommendation credit.

The strongest cluster for Stannah is Best Stairlift Discovery and Top Recommendations, where the brand achieves a 6.6% recommendation rate with all 14 recommendations at rank one. This cluster represents the consideration stage, where buyers are forming their initial shortlist. Stannah's performance here is the strongest in the category, with an AI Authority Value of $33,658 and a captured share of 3.7% of the cluster's $918,037 monthly opportunity.

The weakest cluster is Stairlift Brand and Model Comparisons, where Stannah earns only 6 recommendations with a 3.1% recommendation rate and an average rank of 1.5. Bruno leads this cluster with a 4.7% recommendation rate and 8 rank-one recommendations. Stannah's AI Authority Value in this cluster drops to $12,318, less than half its discovery cluster value.

The strongest platform signal is Copilot, where Stannah achieves a 12% recommendation rate with all 16 recommendations at rank one. This platform alone contributes $35,268 of Stannah's total AI Authority Value, more than half of the brand's overall value. On Copilot, Stannah's recommendation value of $24,706 is the highest single platform value in the category.

The clearest platform gap is Google AI Mode, where Stannah appears in 74 of 153 observations (48.4%) but receives zero valid recommendations. The brand is present and visible but never advanced as a top choice. This represents a significant missed opportunity, as Google AI Mode carries a total monthly opportunity of $292,049 for the category.

Stannah's net sentiment score of 0.117 is healthy, with 33 positive mentions and 249 neutral mentions against zero negative mentions. The brand is framed positively when mentioned, but the vast majority of its presence is neutral, meaning it is listed as context rather than actively recommended.

What Stannah Is Winning

Strongest recommendation position in the category. Stannah leads all competitors with an AI Authority Value of $63,811, nearly 34% higher than the next closest competitor Bruno at $47,774. Stannah's rank-one rate of 4.4% is the strongest in the category, and its average recommended rank of 1.1 means it is almost always the first brand presented.

Dominant performance on Copilot. On Copilot, Stannah achieves a 12% recommendation rate with all 16 recommendations at rank one. This is the strongest single platform performance in the stairlift category. Stannah's Copilot AI Authority Value of $35,268 is more than 50% higher than Bruno's Copilot value of $23,483.

Best Stairlift Discovery cluster leadership. In the consideration-stage cluster, Stannah leads with a 6.6% recommendation rate and 14 rank-one recommendations. The brand's AI Authority Value of $33,658 in this cluster is more than double Bruno's $15,925. Stannah is the clear first choice for buyers asking AI systems to identify the best stairlift options.

Zero negative framing. Across all 282 observations, Stannah receives zero negative mentions. The brand's net sentiment score of 0.117 is driven entirely by positive framing, with no cautionary or negative signals to undermine buyer trust.

Strong pricing cluster performance. In the Stairlift Pricing and Cost Research cluster, Stannah leads with a 4.3% recommendation rate and 8 rank-one recommendations. The brand's AI Authority Value of $17,834 in this decision-stage cluster is the highest in the category, indicating that buyers researching pricing are most likely to see Stannah recommended first.

Where Stannah Has the Clearest AI Visibility Gaps

Google AI Mode: present but never recommended. Stannah appears in 48.4% of Google AI Mode observations but receives zero valid recommendations. The brand is visible to buyers using Google AI Mode but is never advanced as a top choice. This is the largest platform gap in Stannah's AI presence. Competitors including Bruno earn 4 recommendations on Google AI Mode, and Acorn Stairlifts earns 6. Stannah's neutral visibility on this platform is not converting into recommendation credit.

Stairlift Brand and Model Comparisons cluster weakness. In the evaluation-stage cluster, Stannah earns only 6 recommendations with a 3.1% recommendation rate, trailing Bruno's 4.7% rate and 9 recommendations. Bruno leads this cluster with 8 rank-one recommendations compared to Stannah's 4. Stannah's AI Authority Value of $12,318 in this cluster is less than half its discovery cluster value. Buyers comparing specific brands and models are more likely to see Bruno recommended first.

ChatGPT: low recommendation volume. On ChatGPT, Stannah earns only 3 recommendations with a 6.1% recommendation rate. While the rate is healthy, the absolute volume is low. ChatGPT represents a $301,950 monthly opportunity for the category, and Stannah captures only $1,657 of that value. Bruno and Harmar each earn only 1 recommendation on ChatGPT, so this is a category-wide pattern, but Stannah's low absolute volume limits its reach on this platform.

Google AI Overviews: modest recommendation presence. On Google AI Overviews, Stannah earns only 3 recommendations with a 1.9% recommendation rate and an average rank of 1.3. The brand appears in 52.5% of observations but converts only a small fraction into recommendation credit. Harmar earns 3 recommendations on this platform as well, and AmeriGlide earns 2, so Stannah is not being displaced outright, but the conversion rate from visibility to recommendation remains low.

Perplexity: small platform, limited impact. Stannah earns only 1 recommendation on Perplexity, though it achieves a 7.7% recommendation rate. The platform's total category opportunity of $253,378 is the smallest among the six platforms tracked. Stannah's AI Authority Value of $5,172 on Perplexity is driven almost entirely by visibility assist rather than recommendation credit.

Biggest Opportunity

Convert Stannah's strong neutral visibility on Google AI Mode into recommendation-stage credit. Stannah appears in 48.4% of Google AI Mode observations but receives zero valid recommendations. This is the single largest gap in the brand's AI presence. Google AI Mode carries a $292,049 monthly opportunity for the category, and Stannah currently captures only $3,536 of that value, all from visibility assist. Bruno earns 4 recommendations on this platform, and Acorn Stairlifts earns 6. Stannah's neutral presence suggests the brand is known to the AI system but lacks the evidence depth needed to be ranked as a recommendation. Strengthening the citation architecture and source layer that Google AI Mode retrieves from could convert this visibility into recommendation credit, potentially adding significant value to Stannah's already strong category position.

Prompt Evidence

Copilot / Best Stairlift Discovery and Top Recommendations Prompt: "What are the best stairlift brands?" Result: Stannah recommended at rank one, the first brand presented in the AI response.

Gemini / Stairlift Brand and Model Comparisons Prompt: "Compare Stannah vs Bruno stairlifts" Result: Stannah recommended at rank one, but Bruno also appears as a strong alternative in the comparison.

Google AI Mode / Stairlift Pricing and Cost Research Prompt: "How much does a stairlift cost?" Result: Stannah mentioned in a neutral pricing context but not recommended as a top choice, with no recommendation credit earned.

ChatGPT / Best Stairlift Discovery and Top Recommendations Prompt: "Which stairlift company is most reliable?" Result: Stannah recommended at rank one with positive framing around reliability and service history.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the full 10-cluster dataset to identify all prompts where Stannah appears, where competitors are recommended instead, and which citation sources are shaping AI answers across all six platforms.

Phase 2: Recommendation Readiness Plan Diagnose why Stannah receives zero recommendations on Google AI Mode despite 48.4% visibility, and build a targeted plan to convert neutral presence into recommendation credit on that platform.

Phase 3: Owned Answer Layer Buildout Develop structured content and entity architecture that strengthens Stannah's public evidence layer for comparison and evaluation prompts, particularly in the Stairlift Brand and Model Comparisons cluster where Bruno currently leads.

Phase 4: Citation / Authority Layer Development Identify the specific sources Google AI Mode and Google AI Overviews are retrieving from, and build authoritative content, review signals, and comparison coverage that AI systems can use to rank Stannah higher.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Stannah's recommendation rates, rank positions, and platform-specific performance monthly to measure progress and adjust strategy as AI models and source content evolve.

Why This Matters

Stannah holds the strongest AI recommendation position in the stairlift category, but the gap between visibility and recommendation on Google AI Mode represents a significant missed opportunity. Buyers using Google AI Mode to research stairlifts see Stannah mentioned but not recommended, which means the brand is losing the decision moment on a platform with nearly $300,000 in monthly category opportunity.

AI presence alone is not enough. Stannah's 48% visibility rate is strong, but the brand's recommendation conversion varies dramatically by platform and cluster. The brands that solve for consistent recommendation credit across all platforms and buyer moments will capture the growing share of buyers who start their stairlift search with an AI assistant. For Stannah, the next move is converting its strongest neutral visibility into recommendation-stage credit on the platforms where it is currently present but not chosen.

Core Metrics

  • Mentions: 282
  • Valid recommendations: 28
  • Top 3 recommendation count: 28
  • Rank #1 recommendation count: 26
  • Average recommended rank: 1.1
  • Positive mentions: 33
  • Neutral mentions: 249
  • Negative mentions: 0
  • Raw mention presence rate: 48%
  • Valid recommendation coverage: 4.8%
  • Top 3 recommendation rate: 4.8%
  • Rank #1 recommendation rate: 4.4%
  • Strongest cluster by recommendation behavior: Best Stairlift Discovery and Top Recommendations (6.6% recommendation rate, 14 rank-one recommendations)
  • Strongest platform by recommendation behavior: Copilot (12% recommendation rate, 16 rank-one recommendations)

Sentiment Score

Sentiment Score = (33 positive x 1 + 249 neutral x 0 + 0 negative x -1) / 282 total mentions = 0.117

This score matters because unclassified mention counts are misleading. Stannah appears in 282 observations, but only 33 of those are positive recommendations. The remaining 249 are neutral references where the brand is listed as context rather than actively recommended. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal in terms of buyer influence. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility. Stannah's score of 0.117 is healthy and indicates consistently positive framing when the brand is actively surfaced, but the vast majority of its presence is neutral, meaning the brand is known but not always chosen.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

19

6

13

0

0.316

Strongest public recommendation signal

Copilot

56

18

38

0

0.321

Strongest public recommendation signal

Gemini

45

5

40

0

0.111

Present, but not recommendation-led

Google AI Mode

74

0

74

0

0.000

Present as context, not recommendation

Google AI Overviews

84

3

81

0

0.036

Present, but not recommendation-led

Perplexity

4

1

3

0

0.250

Positive, but sample too small

Methodology

  1. Report orientation: This is a benchmark-based AI Company Market Strategy Report for Stannah, derived from the LLM Authority Index Stairlifts AI Market Discovery Index for June 2026. It is not a client implementation case study and does not imply any prior CiteWorks Studio engagement with Stannah.
  2. Reporting month: June 2026, captured as a point-in-time snapshot. AI recommendation patterns can shift as models update and source content changes.
  3. Platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
  4. Observation count: 587 individual AI response observations were analyzed across all platforms and clusters.
  5. Competitor universe: Acorn Stairlifts, 101 Mobility, AmeriGlide, Bruno, Handicare, Harmar, Lifeway Mobility, Mobility Plus, Savaria, and Stannah. This universe represents major brands in the category but is not a full market census.
  6. Public clusters used: Three high-intent buyer clusters were analyzed for this public report: Best Stairlift Discovery and Top Recommendations (consideration stage), Stairlift Brand and Model Comparisons (evaluation stage), and Stairlift Pricing and Cost Research (decision stage). The full LLM Authority Index report covers 10 clusters.
  7. Stage 0 role: Stage 0 refers to the raw AI observation extraction and classification layer. The metrics used in this report are derived from Stage 0 processing outputs. Prompt-level response tables, citation-source failure maps, and entity diagnostics are not included in this public version.
  8. Definition of a mention: A mention is recorded when a company appears in an AI-generated response, regardless of sentiment, rank position, or recommendation status.
  9. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns formal recommendation credit in the LLM Authority Index scoring model. Visibility and mention presence are not equivalent to a valid recommendation.
  10. Modeled value note: AI Authority Value and monthly opportunity figures are modeled benchmark estimates based on commercial intent proxies. They are not actual revenue, pipeline, or booked demand figures and should not be interpreted as such.
  11. Limitations: This report is a point-in-time benchmark derived from publicly available AI observation data. AI outputs vary across sessions, model versions, and query phrasings. The public version of this report covers 3 of 10 total clusters. Unique prompt counts are not available in the public dataset. Ahrefs or organic search data was not supplied for this report and is therefore not included as supporting evidence.

See How AI Is Recommending Your Brand

The stairlift benchmark shows Stannah leading the category in AI recommendation strength, but platform-specific gaps on Google AI Mode and in the comparison cluster represent significant missed opportunities. If your brand appears in AI responses but is not earning recommendation credit, or if competitors are being recommended in prompts where your brand should be the first choice, a deeper analysis can show you exactly what needs to change. CiteWorks Studio maps your full AI visibility footprint, identifies the sources shaping AI answers, and builds the recommendation architecture needed to convert presence into shortlist positions.

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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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