How AI Search Is Recommending Hammocks and Tents: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
19 minutes read

Key Takeaways

  • Kammok leads the category with 60.1% valid recommendation coverage, and its gap over Hennessy Hammock widened across the tracked months.
  • Haven Tents recorded the only month-over-month change beyond normal variation, rising from 8.5% in September to 15.9% in October.
  • Tentsile improved in October but still sits slightly below its July baseline, while raw mentions declined from 96 to 59 over the period.
  • The benchmark set is limited to brand recommendation prompts, so it does not measure pricing or head-to-head comparison performance despite multiple factual conflicts across platforms.

Executive Summary

Kammok remains the clear leader in AI search recommendations for the hammock and tent category, with valid recommendation coverage of 60.1% in October 2026, up 7.8 points from the 52.3% July baseline. That move sits exactly at the threshold the benchmark treats as normal month-to-month variation, which keeps the brand flagged as a watch item rather than a confirmed significant shift. The gap to second-ranked Hennessy Hammock (22.3%) now stands at 37.8 points, and that lead has widened in every tracked month against several brands in the field. Kammok's raw valid recommendation count, however, moved from 173 in July to 170 in October — essentially flat — while the qualified observation pool it is measured against shrank from 331 to 283 over the same span. Most of the coverage-rate gain traces to that smaller denominator; the genuine current-period move is in placement quality, where Kammok's top-three count rose from 130 to 141 and its rank-one count rose from 40 to 59.

The month's one confirmed significant movement came from Haven Tents, whose coverage rose 7.4 points from September's 8.5% to October's 15.9% — the only month-over-month change in the category beyond typical variation. That move lifted Haven Tents to third place by coverage, up from fourth in September, and arrived alongside increases in top-three rate, rank-one rate, and valid recommendation count together. Measured against its own July baseline, Haven Tents' cumulative move (up 2.9 points) remains within normal variation. Even with this month's gain, Haven Tents' 15.9% coverage sits 44.2 points behind Kammok's 60.1%, and its 5.3% rank-one rate sits well below Kammok's 20.8% — a gap that has widened in every tracked month and that the month's growth has not meaningfully closed.

Tentsile recovered 4.3 points in coverage from September to October but remains essentially flat against its July baseline (down 0.2 points), and its raw mention count fell from 96 in July to 59 in October — a real decline in raw appearances, not just a denominator effect. Amok Equipment shows the sharpest baseline-to-current decline in the category, down 0.5 points on just 2 valid recommendations in October against 4 in July; that movement sits well within normal variation and the underlying counts are too small to carry weight on their own. Kammok's and Lawson Hammock's three-month streaks of monthly coverage gains remain flagged as watch items rather than confirmed significant movement, and the gaps between Kammok and each of Amok Equipment, Tentsile, and Sierra Madre Research have widened in every tracked month.

The October 2026 benchmark run began with 561 prompt-surface observations across 318 unique questions. Of those, 559 mentioned a tracked brand or competitor; 477 were assessed as relevant and 82 as irrelevant. The public metrics use the 283 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, August 2026 with 703 observations (470 unique questions) and 322 qualified, and September 2026 with 623 observations (361 unique questions) and 319 qualified.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%20%40%60%80%Jul 2026Aug 2026Sep 2026Oct 2026
  • Kammok60.1%
  • Hennessy Hammock22.3%
  • Haven Tents15.9%
  • Tentsile13.1%
  • Lawson Hammock4.2%
  • Amok Equipment0.7%
  • Sierra Madre Research0.7%

Key Findings

Signal

October 2026 finding

Coverage leader

Kammok at 60.1%, up from 52.3% in the July baseline (a watch-item move, not yet confirmed significant)

Leader gap

Kammok leads Hennessy Hammock by 37.8 points

Denominator effect

Kammok's valid recommendation count held roughly flat (173 to 170) while its coverage rate rose, reflecting a qualified pool that shrank from 331 to 283

Month's only significant movement

Haven Tents' coverage rose 7.4 points from September (8.5%) to October (15.9%), though it still trails Kammok's 60.1% by 44.2 points

Watch items

Kammok and Lawson Hammock, each on three-month streaks of coverage gains not yet beyond normal variation

Widening gaps

Kammok's lead over Amok Equipment, Tentsile, and Sierra Madre Research widened in every tracked month

Largest baseline decline

Amok Equipment, down 0.5 points (1.2% to 0.7%) on 2 valid recommendations

AI Response Inconsistency Alerts

Questions This Section Answers

  • Which AI platforms disagreed about hammock and tent pricing and specifications this month?
  • Where did AI platforms conflict about Haven Tents pricing and weight?
  • What setup and anchoring conflicts did AI platforms report for Tentsile?

The benchmark detected 20 critical or high-severity factual inconsistencies across six AI platforms: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity. The conflicts cluster around four companies and concentrate in product pricing and physical specifications.

Haven Tents

Eight of the twenty conflicts involve Haven Tents, five of them pricing. When asked "How much do haven tents cost?", ChatGPT stated the standard Haven Tent costs about $344, citing the Haven Tents product page, while Copilot stated $279, citing both the Haven Tents product page and Amazon listings. The same question produced a further conflict on the Haven XL: ChatGPT stated about $220 while Copilot stated $360.99–$446.33. Perplexity, answering the same question, placed the Hard Haven XL at $335–$391 and the standard Haven Tent at $313–$344, contradicting Copilot's $279 starting figure. When asked about the Haven Safari, ChatGPT stated about $319 while Perplexity stated $335–$391.

A sixth conflict involved weight rather than price. When asked "Is a Haven Tent worth it?", Gemini described the heavy-duty Safari model as weighing over 12 pounds, citing Wilderness Times, while Copilot stated the Safari weighs approximately 6.5 pounds, citing GearJunkie and Exploring Wild. Source excerpts surfaced on both sides of the conflict, including a Wilderness Times listing specifying 12.4 lbs and a Terradrift review stating the package weighs just under 7 lbs.

Two conflicts involved Copilot differing from itself across prompts. When asked "Which is better Haven Tent or Hennessy hammock?", Copilot stated the Haven Tent current price was $204.00 in one response and $360.99 in another. In a separate prompt asking "Are haven tents worth it?", Google AI Mode stated prices were generally between $340 and $400+, while Copilot stated the Haven Tent (Original) price was $204, citing a Roadrunner Travel review that referenced the Haven XL at $335.

Tentsile

Six conflicts involve Tentsile, all around setup requirements, and all triggered by variants of the question "Can you use a Tentsile on any tree?" On minimum trunk diameter, Google AI Mode stated trees must be at least 12 inches (30 cm) in diameter, citing Tentsile's own pitch guide, while Gemini stated 25 cm (10 inches), citing a Reddit camping thread. A related conflict saw Google AI Mode state the 12-inch figure while ChatGPT stated some models specify around 35 cm (14 inches) and the large Trilogy requires 45 cm (18 inches), citing Tentsile's terms of use.

Four conflicts concerned alternative anchor points. Google AI Mode stated "Never anchor a Tentsile to man-made walls, fences, utility poles, or non-certified structures," citing Tentsile's Dos and Don'ts page. Copilot, Perplexity, and Gemini each stated that posts, vehicles, or sturdy structures can serve as anchors when three trees are not available, citing Tentsile's advice centre pages. A source excerpt from Tentsile's own setup guide states that even without three trees, "you can use sturdy structures such as posts and your vehicle."

Kammok

Four conflicts involve Kammok. On the Mantis hammock tent's weight limit, when asked "What is the weight limit for a hammock tent?", Google AI Mode stated the Mantis is rated at 300 lbs, citing Google Shopping product listings, while ChatGPT stated a 500 lb maximum capacity, citing REI and the Kammok product page. A flagged source excerpt from Kammok's own site states "Our Mantis safely holds up to 500 lbs."

Three conflicts concern ownership structure. When asked "Who owns Kammok?", Google AI Overviews stated the company is owned and operated by founder and CEO Greg McEvilly, citing Kammok's about page and PitchBook, while ChatGPT stated that Kammok Holdings, LLC has multiple members and managers and is not simply wholly owned by McEvilly, citing CorporationWiki records. Copilot stated McEvilly remains the founder and primary owner, citing Tracxn and PitchBook, while Google AI Mode described the company as privately held under McEvilly's leadership as CEO, which ChatGPT's response contradicts.

Hennessy Hammock

Two conflicts involve Hennessy Hammock. When asked "How much weight can a Hennessy Hammock hold?", ChatGPT stated the Ultralite Backpacker is rated for 200 lbs, citing the Hennessy Hammock collections page, while Gemini stated the Ultralight Backpacker is rated for up to 250 lbs, citing the Expedition Zip and Safari Deluxe product pages.

On manufacturing location, when asked "Where are Hennessy Hammocks made?", ChatGPT stated many main hammock models are manufactured in China, with some models and components historically made in the U.S. and some accessories work in Canada, citing the company's about page and a What Hammock review. Copilot stated hammocks are produced from purchased materials in Canada, with operations also in New Zealand and Hawaii, and made no mention of China or U.S. manufacturing, citing the company's about page and Tracxn. A flagged source excerpt from What Hammock states "Hennessy's ropes and crucial components are US-made. The rest of its models are made in China."

Benchmark Context

Questions This Section Answers

  • How did the qualified observation pool change between July and October 2026?
  • Why can brand coverage rates rise even when the underlying observation base shrinks?
  • Which AI surface families retained qualified observations across the series?

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

Research stage

Jul 2026

Oct 2026

What it represents

Source prompt-surface observations collected

612

561

Raw prompt-surface collection across AI/search surfaces

Unique questions

375

318

Distinct questions within the collection

Brand / competitor mentions

529

559

Prompts mentioning a tracked brand or competitor

Relevant prompts

440

477

Prompts relevant to the category

Irrelevant prompts

89

82

Prompts screened out as irrelevant

Qualified benchmark observations

331

283

Observations surviving both qualification stages

Qualified surface breadth

6

6

AI surface families with qualified observations

The qualified benchmark set has contracted across the four tracked months, from 331 observations in July to 283 in October. August 2026 remained near the baseline at 322, September at 319, and October's 283 marks the first meaningful pullback. The raw collection followed a similar arc, spiking at 703 prompt-surface observations in August before settling to 623 in September and 561 in October. All six canonical AI surface families retained at least one qualified observation in every month of the series.

Benchmark-Level Metrics

Metric

Jul 2026

Oct 2026

Change

Qualified observations

331

283

Down 48

Companies tracked

7

7

No change

Recommendation-shaped answer share

31.4%

59.0%

Up 27.6 points

Valid recommendation shortlist share

59.5%

76.7%

Up 17.2 points

Category leader by coverage

Kammok

Kammok

No change

The recommendation-shaped answer share rose sharply across the series, from 31.4% in July through 32.9% in August, 33.5% in September, and 59.0% in October. The same pattern applies to the valid recommendation shortlist share, which climbed from 59.5% in July to 61.5% in August and 60.2% in September before reaching 76.7% in October. A larger share of a smaller qualified pool is now producing recommendation-shaped answers, meaning the recommendation signal strengthened even as the observation base contracted — a pattern worth keeping in mind when reading individual brand coverage rates below.

AI Recommendation Trend

Questions This Section Answers

  • Which hammock and tent brands rank highest by AI recommendation coverage?
  • Which brand recorded the only month-over-month movement beyond normal variation?
  • Which brands' gaps to Kammok widened in every tracked month?

Kammok Leads a Stable Field, With Haven Tents the Month's Exception

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

Kammok

52.3%

60.1%

Up 7.8 points

1st

Hennessy Hammock

21.4%

22.3%

Up 0.9 points

2nd

Haven Tents

13.0%

15.9%

Up 2.9 points

3rd

Tentsile

13.3%

13.1%

Down 0.2 points

4th

Lawson Hammock

2.1%

4.2%

Up 2.1 points

5th

Amok Equipment

1.2%

0.7%

Down 0.5 points

6th

Sierra Madre Research

0.6%

0.7%

Up 0.1 points

7th

None of the seven brands' cumulative moves from the July baseline crossed the range the benchmark treats as significant. Kammok and Lawson Hammock each carry three consecutive months of coverage gains, flagged as watch items worth monitoring rather than confirmed movement. Haven Tents posted the only month-over-month change beyond typical variation, rising from September's 8.5% to October's 15.9%; measured against its own July baseline, that move remains within normal range. The gaps between Kammok and three of the remaining brands — Amok Equipment, Tentsile, and Sierra Madre Research — widened in every tracked month, even though none of those three brands' individual moves qualify as significant on their own.

What Changed This Month

Questions This Section Answers

  • Why did Kammok's coverage rise while its raw recommendation count stayed flat?
  • What drove Haven Tents' jump to third place by coverage?
  • Why did Tentsile's mentions decline even as its placement quality improved?

Kammok

Kammok's valid recommendation coverage moved from 53.6% in September 2026 to 60.1% in October 2026, up 6.5 points, and up 7.8 points from the 52.3% July baseline. The brand has now recorded three consecutive monthly gains. The baseline comparison sits exactly at the threshold the benchmark treats as normal month-to-month variation, which keeps Kammok classified as a watch item rather than a confirmed significant move.

Top-three rate moved from 40.1% to 49.8%, up 10.5 points from the 39.3% baseline, with top-three appearances rising from 130 in July to 141 in October. Rank-one rate moved from 15.0% to 20.8%, up 8.7 points from the 12.1% baseline, with rank-one appearances rising from 40 in July to 59 in October. Raw mention presence moved from 73.4% to 73.5% against the 68.6% baseline, little changed.

The more important context sits in the raw counts: Kammok's valid recommendation count moved from 173 in July to 170 in October — essentially flat, and marginally down — while the coverage rate rose from 52.3% to 60.1%. The brand's raw mention count also fell, from 227 in July to 208 in October, even as the presence rate rose from 68.6% to 73.5%. Both shifts are explained by the qualified observation pool shrinking from 331 to 283 over the same span, not by Kammok appearing or being recommended more often in absolute terms. The genuine current-period story is placement conversion: top-three and rank-one counts both rose in absolute terms, meaning Kammok is converting a flat-to-shrinking set of appearances into more high-ranked placements. Net sentiment moved from 0.8 to 0.9, with 182 positive mentions and 26 neutral.

Highest-priority diagnostic: Which prompts and surfaces account for the increase in top-three and rank-one conversion while raw mention and recommendation counts stayed flat or declined, and whether those placements concentrate in a specific buyer-intent cluster.

Haven Tents

Haven Tents' coverage moved from 8.5% in September 2026 to 15.9% in October 2026, up 7.4 points — the one month-over-month change in the category the benchmark classifies as beyond typical variation. Top-three rate moved from 7.2% to 15.2%, and rank-one rate moved from 3.8% to 5.3%, with rank-one appearances reaching 15. Valid recommendation count rose from 27 to 45, lifting Haven Tents from fourth to third place by coverage. Against the 13.0% July baseline, the cumulative move (up 2.9 points) remains within normal variation. Net sentiment moved from 0.9 to 0.8, with 51 positive mentions and 10 neutral.

Kammok records 60.1% on valid recommendation coverage, while Haven Tents stands at 15.9% — a 44.2-point gap that has widened in every tracked month despite this month's gain. The same pattern holds on the metric that matters most commercially: Kammok converts to a rank-one, first-choice recommendation 20.8% of the time, compared with 5.3% for Haven Tents. The more important issue is what that gap means for Haven Tents' recommendation position — even its best month in the series leaves it converting to a top placement at roughly a quarter of the leader's rate, and Haven Tents carries eight of the twenty pricing and specification conflicts flagged in this month's inconsistency review, more than any other tracked brand, in the same period its visibility is growing fastest.

Highest-priority diagnostic: Whether the coverage and top-three jump traces to a specific set of prompts or a single surface, and whether the answer set that now recommends the brand also carries the pricing and specification conflicts flagged in the inconsistency review — because resolving those conflicts may be a precondition for closing the gap to Kammok rather than a separate workstream.

Tentsile

Tentsile's coverage moved from 8.8% in September 2026 to 13.1% in October 2026, up 4.3 points, but remains 0.2 points below the 13.3% July baseline, within normal variation. The September reading of 8.8% was the series low.

Top-three rate moved from 6.0% to 10.2%, up 0.5 points from the 9.7% baseline, with 29 top-three appearances. Rank-one rate moved from 3.8% to 5.7%, down 1.0 point from the 6.7% baseline, with 16 rank-one appearances. Raw mention presence fell from 22.3% in September to 20.8% in October, down 8.2 points from the 29.0% July baseline; the brand's raw mention count fell from 96 in July to 59 in October, a real decline in raw appearances and not solely a function of the shrinking qualified pool.

The pattern here is a partial recovery in coverage and placement quality alongside a shrinking presence pool. The brand is being mentioned in fewer qualifying answers than in July but is placing better within those answers. Valid recommendation count rose from 28 to 37. Net sentiment moved from 0.5 to 0.6, with 38 positive, 21 neutral, and no negative mentions.

Highest-priority diagnostic: Which prompt types dropped out of the mention pool across the series, and whether the anchor-point and trunk-diameter conflicts identified in the inconsistency review reduce how often the brand is surfaced in setup-related questions.

Hennessy Hammock

Hennessy Hammock's coverage moved from 22.6% in September 2026 to 22.3% in October 2026, down 0.3 points, and up 0.9 points from the 21.4% July baseline. The brand has held second position in every month of the series, with a baseline-to-current move well within normal variation.

Top-three rate moved from 11.3% to 16.2%, up 1.4 points from the 14.8% baseline, with 46 top-three appearances. Rank-one rate moved from 1.9% to 2.8%, down 0.2 points from the 3.0% baseline, with 8 rank-one appearances. Raw mention presence moved from 29.8% to 27.2%, down 2.7 points from the 29.9% baseline.

Hennessy Hammock's valid recommendation count fell from 71 in July to 63 in October even as the coverage rate rose slightly, a pattern consistent with the shrinking qualified observation pool (331 to 283) rather than more frequent recommendations. Net sentiment moved from 0.8 to 0.9, with 69 positive mentions and 8 neutral.

The distinction to notice is that Hennessy Hammock's second-place coverage sits well below Kammok and only modestly above Haven Tents. The brand occupies a stable middle position that neither closes on the leader nor is threatened by the field behind it this month.

Highest-priority diagnostic: Which surfaces and prompt types sustain the coverage that keeps the brand comfortably second, and whether the weight-capacity and manufacturing-location conflicts flagged in the inconsistency review appear in the answers that generate those recommendations.

Lawson Hammock

Lawson Hammock's coverage moved from 3.8% in September 2026 to 4.2% in October 2026, up 0.4 points, and up 2.1 points from the 2.1% July baseline. The brand has now recorded three consecutive monthly gains, tracked as a watch item since the cumulative move remains within normal variation.

Valid recommendation count rose from 7 in July to 12 in October. Top-three rate moved from 1.9% to 3.2%, up 2.0 points from the 1.2% baseline, with 9 top-three appearances. Rank-one rate remained at 0.0% for the fourth consecutive month, with no first-place placements in the series. Raw mention presence rose from 5.0% to 7.1%, up 3.2 points from the 3.9% baseline.

The brand is gaining presence and top-three placements on a small base without ever reaching the first position. Net sentiment moved from 0.7 to 0.9, with 17 positive mentions and 3 neutral.

Highest-priority diagnostic: Which competitor holds the first-place slot in the prompts where Lawson Hammock reaches the top three, and whether the absence of rank-one placements reflects a specific prompt gap or an attribute AI systems associate with other options.

Amok Equipment

Amok Equipment's coverage moved from 0.9% in September 2026 to 0.7% in October 2026, down 0.2 points, and down 0.5 points from the 1.2% July baseline. This is the sharpest baseline-to-current decline in the category, though the movement is well within normal variation.

Valid recommendation count moved from 3 to 2. Top-three rate moved from 0.6% to 0.7%, down 0.2 points from the 0.9% baseline, with 2 top-three appearances. Rank-one rate fell to 0.0%, down 0.6 points from the 0.6% baseline, with two rank-one appearances recorded in July and none since. Raw mention presence moved from 2.5% to 1.4%, down 1.3 points from the 2.7% baseline.

With 2 valid recommendations and 4 total mentions in October, the absolute counts are too small for the percentage movement to carry weight on its own. Net sentiment moved from 0.6 to 0.8, based on 3 positive and 1 neutral mention.

Highest-priority diagnostic: Whether the 4 mentions cluster in a single prompt type or surface, and whether the brand appears in any qualified prompt where a hammock-tent comparison is being made.

Sierra Madre Research

Sierra Madre Research's coverage moved from 0.3% in September 2026 to 0.7% in October 2026, up 0.4 points, and up 0.1 points from the 0.6% July baseline. The brand has recorded two consecutive monthly gains from a zero reading in August.

Valid recommendation count moved from 1 to 2. Top-three appearances moved from 1 in July to 2 in October, and rank-one appearances moved from 0 in July to 2 in October, lifting the rank-one rate from 0.0% to 0.7%. Raw mention presence moved from 0.6% to 1.1%, up 0.2 points from the 0.9% baseline. Net sentiment held at 0.7, based on 2 positive and 1 neutral mention.

The brand now holds two rank-one placements this month, an outcome no other brand outside Kammok, Tentsile, Haven Tents, and Hennessy Hammock recorded this month. With 2 valid recommendations and 3 total mentions, this is a directional signal on a very thin base, not a durable position. The brand recorded a zero coverage reading in August.

Highest-priority diagnostic: Whether the two recommendations and the two first-place placements tie to one prompt and one surface, and whether the sources behind them recur across other qualifying prompts.

Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent clusters produced qualified benchmark observations?
  • What can the benchmark not yet answer about pricing and head-to-head comparisons?
  • Why does the missing pricing and comparison signal matter given this month's conflicts?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Direct recommendations of specific brands

Which brands win the recommendation when the prompt seeks a direct answer?

Pricing & Value

Cost and value comparisons

How do brands rank when price is the deciding factor?

Multi-Brand Comparison

Head-to-head brand comparisons

Which brand wins when buyers compare options side by side?

Across all four tracked months, every qualified observation fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters recorded no qualified observations in July, August, September, or October. 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. That limitation is particularly relevant this month: the inconsistency review turned up 20 pricing and specification conflicts across four brands, and the qualified benchmark set contains no observations that would test how those conflicts resolve in a comparison or pricing context.

Brand Opportunity Summary

Questions This Section Answers

  • Which diagnostic question does each hammock and tent brand most need to investigate next?
  • What separates Kammok's leading position from the brands still building a durable signal?

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

Kammok

60.1%

Leading by coverage; raw recommendation count flat while placement quality rose (watch item on a three-month streak)

Which prompts account for the increase in placement conversion while mention and recommendation counts stayed flat or declined?

Hennessy Hammock

22.3%

Stable second position across all four months; raw recommendation count declined even as the rate rose slightly

Which surfaces sustain the coverage, and do weight-capacity and manufacturing conflicts appear there?

Haven Tents

15.9%

Coverage jumped beyond normal variation from September; still 44.2 points behind Kammok and converting to rank-one at roughly a quarter of the leader's rate

Whether the surge traces to a specific prompt set or surface, and whether conflicting pricing appears alongside recommendations.

Tentsile

13.1%

Partial month-over-month recovery; raw mention count declined notably since baseline

Which prompt types left the mention pool, and whether anchor-point conflicts reduce setup-question visibility.

Lawson Hammock

4.2%

Three-month riser; no rank-one placements in the series

Which competitor holds the first-place slot when the brand reaches the top three?

Amok Equipment

0.7%

Thin presence; 2 valid recommendations on 4 mentions

Whether the 4 mentions cluster in one prompt type and whether any comparison prompts reach the brand.

Sierra Madre Research

0.7%

Two consecutive gains from a zero reading; 2 rank-one placements on a thin base

Whether the placements tie to one prompt, one surface, and one repeatable source.

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

Evidence Behind the Benchmark

Questions This Section Answers

  • What data points make up each prompt-level observation?
  • How does the inconsistency review connect recommendations to the sources AI systems read?
  • Does source presence in an AI answer prove it caused the recommendation?

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. This month's inconsistency review is an example of that depth: the pricing and specification conflicts surfaced across Haven Tents, Tentsile, Kammok, and Hennessy Hammock tie directly to source pages that some platforms read differently than others. 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 Visibility Market Discovery research program.

Report-Specific Interpretation Notes

  • Small-count movement: Amok Equipment (2 valid recommendations) and Sierra Madre Research (2 valid recommendations) show the largest relative swings in the category; treat those percentage movements as directional signals rather than durable shifts. Lawson Hammock at 12 valid recommendations sits near that group.
  • Qualified denominator vs raw collection: Percentages are calculated against the qualified benchmark set of 283 observations in October 2026, not the raw collection of 561 prompt-surface observations. The qualified set contracted from 331 in July, and several brands' coverage rates rose even where their underlying recommendation counts held flat or declined — Kammok and Hennessy Hammock both show this pattern this month.
  • Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes. Kammok's placement-conversion step-up and Haven Tents' one-month surge are the two movements most worth investigating this month, and neither can be attributed from the public benchmark alone.

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 20 pricing and specification conflicts identified this month, spanning four brands and six platforms, show how much of the answer depends on which source an AI system happens to read first.

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.

Request an AI visibility audit

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
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Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

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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