How AI Search Is Recommending Stairlifts: Monthly Trends

Executive Summary

The September 2026 benchmark for stairlifts shows Bruno as the category leader with valid recommendation coverage of 29.4%, a gap of 3.6 points over second-place Harmar at 25.8%. Five of the ten tracked brands moved beyond normal month-to-month variation relative to the July baseline, all in a downward direction: 101 Mobility, AmeriGlide, Bruno, Harmar, and Lifeway Mobility. The other five — Acorn Stairlifts, Handicare, Mobility Plus, Savaria, and Stannah — are classified as stable against the July baseline.

Across the full July-to-September series, nine of the ten tracked brands lost ground from their July position; Handicare was the exception, rising from 12.1% to 12.7%. The largest baseline-to-current declines were a tie between Bruno and Lifeway Mobility, each down 11.5 points — Bruno from 40.9% to 29.4%, and Lifeway Mobility from 21.2% to 9.7%. AmeriGlide followed closely with a 10.8-point decline, from 32.3% to 21.5%. The August measurement recorded zero valid recommendations for all ten brands, which the benchmark treats as an instrument-state anomaly rather than a competitive outcome; September restores a differentiated order for nine of the ten brands.

Against the prior month, nine of the ten tracked brands moved up from the 0.0% August position, with the largest riser being Bruno at 29.4 points; Mobility Plus remained flat at 0.0%. The September field reads as a partial restoration of the July order, with all ten brands present again and nine of them qualifying for recommendation credit. The priority now is understanding which prompts and surfaces drive the restored recommendations across the category.

This report tracks 800 prompt-surface observations for September 2026 (562 unique questions) across the stairlift category's AI/search surface universe. Of these, 798 mentioned a tracked brand or competitor, 540 were relevant, and 258 were irrelevant. The public benchmark metrics use the 442 observations that survived both qualification stages. This compares with 800 total prompts and 372 qualified observations in July 2026 and 800 total prompts and 413 qualified observations in August 2026.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The collection universe held steady at 800 prompts across both months, while the qualified set grew from 372 to 442 observations. The August intermediate month contributed 413 qualified observations, all carrying zero recommendation credit. The September restoration therefore occurs within the largest qualified set of the three-month series, not a smaller one.

Benchmark-Level Metrics

The table below summarizes category-wide metrics across the same two months.

AI Recommendation Trend

Valid Recommendation Coverage, July 2026 vs. September 2026

Five of the ten tracked brands moved beyond normal month-to-month variation against the July baseline, all in a downward direction: Bruno, Harmar, AmeriGlide, Lifeway Mobility, and 101 Mobility. The remaining five moved within normal variation. The category-level change is not a single event; it combines meaningful declines among the larger-coverage brands with smaller, non-significant movements across the rest of the field.

What Changed This Month

Bruno

Bruno holds the category leadership position at 29.4% in September, down 11.5 points from 40.9% in July, and up 29.4 points from the 0.0% August state. In absolute terms, Bruno earned 130 valid recommendations in September, down from 152 in July, even as the August measurement recorded zero valid recommendations across every brand.

Bruno's rank-one outcomes weakened against baseline. Its rank-one rate fell 12.1 points from 26.3% to 14.2%, and its top-three rate fell 12.5 points from 37.4% to 24.9%. Its raw mention presence of 68.1% in September is down 6.1 points from 74.2% in July but remains the highest in the category. Net sentiment held at 0.6, down slightly from 0.7.

The distinction that matters is that Bruno still leads the field on presence and coverage, but the character of that leadership changed. In July, Bruno was ranked first in 26.3% of observations; in September, that figure is nearly halved, which means competitors are taking rank-one credit more often even where Bruno remains visible.

Highest-priority diagnostic: Which prompt subgroups shift from Bruno to another brand for the rank-one recommendation between July and September, and what attributes do those answers assign to the alternative?

AmeriGlide

AmeriGlide's valid recommendation coverage fell 10.8 points from 32.3% in July to 21.5% in September. Its absolute valid recommendation count fell from 120 to 95.

AmeriGlide's raw mention presence fell 13.3 points from 61.3% to 48.0%, and its top-three rate fell 5.3 points from 18.0% to 12.7%. Its rank-one rate held closer to steady, down 0.9 points from 5.9% to 5.0%. Net sentiment held at 0.6.

The signal here is a presence problem more than a preference problem. AmeriGlide is being recommended less often in September primarily because it is appearing in fewer answers at all. Its rank-one share held relatively firm among the answers where it does appear.

Highest-priority diagnostic: Which surfaces and prompt types drove AmeriGlide's July presence of 61.3%, and which of those declined most sharply in the September qualified set?

Harmar and Lifeway Mobility

Harmar's valid recommendation coverage fell 10.5 points from 36.3% in July to 25.8% in September, earning 114 valid recommendations against 135 in July. Lifeway Mobility fell 11.5 points from 21.2% to 9.7%, earning 43 valid recommendations against 79 in July.

The two brands diverge on placement. Harmar's rank-one rate rose 1.3 points from 3.0% to 4.3%, while its top-three rate fell 11.9 points from 29.8% to 17.9%. Lifeway Mobility weakened across the board: raw mention presence fell 12.9 points from 67.2% to 54.3%, top-three rate fell 3.1 points from 6.5% to 3.4%, and rank-one rate fell 2.7 points from 3.8% to 1.1%.

The distinction across these two brands is that Harmar retained most of its presence and even gained slightly on first-place outcomes, while Lifeway Mobility lost presence and recommendation position together. Harmar's issue is a narrowing of its top-three presence; Lifeway Mobility's is a broader retreat from answers.

Highest-priority diagnostic: For Harmar, where do its rank-one gains come from while its top-three rate falls; for Lifeway Mobility, which surfaces account for its 12.9-point presence decline?

101 Mobility

101 Mobility's valid recommendation coverage fell 3.3 points from 5.1% in July to 1.8% in September, a movement large enough to register against the baseline despite the brand's small base. Its absolute valid recommendation count fell from 19 to 8.

Raw mention presence fell 7.0 points from 23.7% to 16.7%. Its top-three rate fell 1.5 points from 2.4% to 0.9%, and its rank-one rate fell 0.6 points from 0.8% to 0.2%. Net sentiment declined from 0.3 to 0.2.

This is a small-count movement, and the September finding reflects only 8 valid recommendations out of 442 qualified observations. The meaningful signal is the presence decline rather than the recommendation shift.

Highest-priority diagnostic: Which prompt types accounted for 101 Mobility's 19 valid recommendations in July, and how many of those prompt types appear in the September qualified set?

The Stable Field: Stannah, Handicare, Acorn Stairlifts, Savaria, and Mobility Plus

These five brands moved within normal month-to-month variation against the July baseline. Stannah fell 4.2 points from 28.0% to 23.8%, the smallest decline among the top tier, and gained 3.3 points on rank-one rate from 3.5% to 6.8%. Handicare rose 0.6 points from 12.1% to 12.7%, the only brand to gain against baseline. Acorn Stairlifts fell 2.3 points from 8.9% to 6.6%, even as its raw mention presence rose from 23.4% to 24.9%. Savaria fell 1.9 points from 4.6% to 2.7%. Mobility Plus moved from 0.5% to 0.0%, a change within normal variation for its small base.

Handicare's gain is notable for its composition. It rose 2.7 points on top-three rate from 5.4% to 8.1%, while its raw mention presence fell 3.9 points from 29.0% to 25.1%. That combination means Handicare converted a smaller presence into more top-three recommendations, a shift toward preference strength rather than raw visibility.

Highest-priority diagnostic: Which evidence sources or content attributes support Handicare's improved top-three conversion, and which prompts does Stannah win at rank one in September that it did not win in July?

Buyer-Intent Interpretation

All 442 qualified September observations fell into the Brand Recommendation cluster, as did all 372 July observations. The benchmark can therefore speak to which brands are named and recommended. The pricing, value, and head-to-head comparison questions remain outside the public benchmark's reach, since no qualified observations fell into those clusters in either month.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations: query, surface, recommendation outcome, rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery
• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• The August 2026 measurement recorded zero coverage for all brands; September restores a differentiated order for nine of the ten brands, and all movement is measured against the July baseline.
• Five of ten brands moved beyond normal variation against baseline, all downward; the category-level change combines those declines with smaller, non-significant movements.
• Small-count brands such as Mobility Plus and 101 Mobility carry limited observations; their percentages should be read with the absolute counts beside them.
• The qualified denominator (442) differs from the raw collection total (800 prompts); recommendation percentages apply only to the qualified set.
• Directional analysis identifies changes worth investigating; it does not establish their cause.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate percentage sits a set of unanswered questions: which high-intent prompts are being won and lost, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. For a category that just passed through a zero-coverage month and returned to a measurable order, these questions carry particular weight, because the benchmark cannot identify what changed in the intervening month.

A company-specific AI visibility audit maps prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It moves from the category-level signal to a brand-level diagnosis, identifying which prompts and surfaces need attention first.

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