How AI Search Is Recommending Hammocks and Tents: Monthly Trends

Executive Summary

Kammok continues to lead AI search recommendations for the hammock and tent category in September 2026, with valid recommendation coverage of 53.6%, up from 52.8% in August. The gap to the second-ranked brand, Hennessy Hammock at 22.6%, now stands at 31.0 points, widening slightly as Kammok extended its two-month upward streak from the 52.3% July baseline.

September was another quiet month for the category. None of the seven tracked brands moved beyond the range considered typical for month-to-month variation, and the ranking order held from August: Kammok, Hennessy Hammock, Tentsile, Haven Tents, Lawson Hammock, Amok Equipment, and Sierra Madre Research occupied the same relative positions.

The largest numeric coverage moves came from Tentsile, down 3.6 points from 12.4% to 8.8%, and Haven Tents, down 3.0 points from 11.5% to 8.5%, both within normal variation. On the riser side, Lawson Hammock extended its climb from 3.1% to 3.8%, with valid recommendations rising from 10 to 12 on a small base.

The September 2026 benchmark run collected 623 prompt-surface observations across 361 unique questions. Of those prompts, 623 mentioned a tracked brand or competitor; 516 were assessed as relevant and 107 as irrelevant. The public metrics in this report are calculated from the 319 observations that survived both qualification stages. For context, the July 2026 baseline began with 612 prompt-surface observations (375 unique questions) and 331 qualified observations, and August 2026 began with 703 prompt-surface observations (470 unique questions) and 322 qualified observations.

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 qualified benchmark set has stayed near 320 observations across all three tracked months. August 2026 collected a larger raw universe of 703 prompt-surface observations, a high point, while September's collection settled back to 623. The share of brand-mentioned prompts rose sharply in September, with all 623 collected prompts mentioning a tracked brand or competitor.

Benchmark-Level Metrics

August 2026 sat between the baseline and current months at 32.9% recommendation-shaped answer share and 61.5% valid recommendation shortlist share, meaning September's figures eased back slightly from August's shortlist peak.

AI Recommendation Trend

Valid Recommendation Coverage by Brand

No brand exceeded the range considered typical for month-to-month variation in September 2026. Kammok's coverage has risen in each of the three tracked months, while Tentsile and Haven Tents have each declined for two consecutive months, narrowing the gap behind the leaders even as the overall ranking order held from August.

What Changed This Month

Kammok

Kammok's valid recommendation coverage moved from 52.8% in August 2026 to 53.6% in September 2026, up 0.8 points, extending an upward streak across all three tracked months from the 52.3% July baseline.

Top-three rate moved from 38.5% to 40.1%, with top-three appearances rising from 124 to 128. Rank-one rate moved from 16.8% to 15.0%, with rank-one appearances falling from 54 to 48. Raw mention presence rose from 68.9% to 73.4%, with present count rising from 222 to 234.

The brand's mention presence, top-three rate, and coverage all moved up this month even as the share of first-place placements eased. Net sentiment improved from 0.8 to 0.9.

Highest-priority diagnostic: Which prompt categories are associated with the gap between rising top-three placements and a slightly lower rank-one rate, and whether the rank-one slots are moving to a specific competitor.

Hennessy Hammock

Hennessy Hammock's coverage moved from 21.7% in August 2026 to 22.6% in September 2026, up 0.9 points, holding the second position with a two-month upward streak from the 21.4% July baseline.

Top-three rate moved from 16.8% to 11.3%, with top-three appearances falling from 54 to 36. Rank-one rate moved from 4.0% to 1.9%, with rank-one appearances falling from 13 to 6. Raw mention presence moved from 28.3% to 29.8%, with present count rising from 91 to 95.

Coverage rose on a slightly larger presence pool even as the brand's placement quality weakened, with both top-three and rank-one rates declining. Net sentiment improved from 0.8 to 0.9.

Highest-priority diagnostic: Which surfaces and prompt types are producing the valid recommendations that sustain coverage, and where the brand is being mentioned without being placed in the top three.

Tentsile

Tentsile's coverage moved from 12.4% in August 2026 to 8.8% in September 2026, down 3.6 points, the largest numeric move among decliners this month, extending a two-month downward streak from the 13.3% July baseline.

Rank-one rate moved from 4.7% to 3.8%, with rank-one appearances falling from 15 to 12. Top-three rate moved from 8.7% to 6.0%, with top-three appearances falling from 28 to 19. Raw mention presence fell from 25.5% to 22.3%, down 6.7 points from the 29.0% recorded in the July baseline.

Valid recommendation count fell from 40 to 28. The brand also carried one negative sentiment mention in September, matching the single negative appearance recorded in August.

Highest-priority diagnostic: Which surfaces and prompt types are associated with the reduced top-three placements, and which competitor is taking the recommendation when Tentsile no longer appears.

Haven Tents

Haven Tents' coverage moved from 11.5% in August 2026 to 8.5% in September 2026, down 3.0 points, extending a two-month downward streak from the 13.0% July baseline. Rank-one rate held at 3.8%, with rank-one appearances falling from 13 to 12. Top-three rate moved from 9.3% to 7.2%, with top-three appearances falling from 30 to 23. Raw mention presence moved from 16.2% to 16.9%, while valid recommendation count fell from 37 to 27.

Kammok records 53.6% valid recommendation coverage, while Haven Tents stands at 8.5%. The more important issue is what that gap means: raw mention presence rose slightly even as the valid recommendation count declined, meaning the brand is appearing in more AI answers without being recommended more often. That presence-to-recommendation gap, layered on top of a 45.1-point coverage deficit against the category leader and a two-month downward streak, is a competitive gap that the public benchmark can flag but cannot yet explain, and it should not be left unresolved.

Highest-priority diagnostic: Whether the drop in valid recommendations reflects how the brand is described in AI answers or a shift in which surfaces surface the brand, and why rising mention presence is not converting into recommendation gains relative to Kammok.

Lawson Hammock

Lawson Hammock's coverage moved from 3.1% in August 2026 to 3.8% in September 2026, up 0.7 points, extending an upward streak from the 2.1% July baseline across all three tracked months.

Valid recommendation count moved from 10 to 12. Top-three rate moved from 1.2% to 1.9%, with top-three appearances rising from 4 to 6. Top-ten rate moved from 3.1% to 3.8%, with top-ten appearances rising from 10 to 12. Rank-one rate remained at zero in all three months.

The brand remains a small-count riser: 12 valid recommendations is a meaningful gain from 7 in July but still a thin base, so the movement should be read with caution. Raw mention presence rose from 3.9% to 5.0%.

Highest-priority diagnostic: Whether the new valid recommendations cluster in specific prompt types or surfaces, and which competitor typically takes the rank-one slot when Lawson Hammock appears.

Amok Equipment

Amok Equipment's coverage moved from 0.6% in August 2026 to 0.9% in September 2026, up 0.3 points, with a one-month upward streak after the drop from 1.2% in July.

Valid recommendation count moved from 2 to 3. Top-three rate moved from 0.6% to 0.6%, with top-three appearances moving from 2 to 2. Rank-one rate fell to 0.0%, with no rank-one appearances in September after one in August. Raw mention presence rose from 1.6% to 2.5%.

The brand's presence and recommendation counts remain thin across the benchmark, and the absolute counts are small, so month-to-month movement should be read with caution.

Highest-priority diagnostic: Whether the slightly higher mention presence reflects broader category coverage or a few specific prompts, and where the rank-one appearance went.

Sierra Madre Research

Sierra Madre Research's coverage moved from 0.0% in August 2026 to 0.3% in September 2026, up 0.3 points, with one valid recommendation in September after none in August.

The brand recorded one rank-one appearance and one top-three appearance in September on raw mention presence of 0.6%, with 2 mentions in the observation set. This compares with 3 mentions and zero valid recommendations in August, and 3 mentions with 2 valid recommendations in the July baseline.

The small counts mean the brand's September signal is a single recommendation and should be read as directional only.

Highest-priority diagnostic: Whether the lone recommendation is tied to a specific prompt and surface, and whether the sources behind it are repeatable across other qualifying prompts.

Buyer-Intent Interpretation

Across all three tracked months, every qualified observation fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters recorded no observations in July, August, or September. The public benchmark therefore measures which brands AI systems recommend for discovery and consideration, but it cannot yet answer how those brands rank on price, value, or direct head-to-head comparison. Those commercial questions require a company-level analysis focused on comparison and pricing prompts.

Brand Opportunity Summary

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

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations that capture the query, the AI surface, the recommendation outcome, the rank position, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt patterns, competitor overlap, surface-specific behavior, and the external evidence sources that shape AI answers. Source presence in an AI response 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 Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movement: Brands with fewer than 10 valid recommendations (Amok Equipment, Sierra Madre Research) and those near it (Lawson Hammock at 12) show larger relative swings; treat those movements as directional signals, not definitive shifts.
• Qualified denominator vs raw collection: Percentages are calculated against the qualified benchmark set (319 observations in September 2026), not the raw collection of 623 prompt-surface observations.
• Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

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

Beneath the aggregate percentages sit the questions that matter commercially: which high-intent prompts does a brand win, which competitor takes the recommendation when it loses, what attributes do AI systems associate with each option, and which external sources shape those answers. The public benchmark shows the scoreboard; it does not show the plays that produced it.

A company-specific AI visibility audit maps the prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. That is the difference between knowing the position and knowing how to move it.

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