How AI Search Is Recommending Camp Cooking, Grills and Outdoor: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
15 minutes read

Key Takeaways

  • YETI kept the lead at 48.4% coverage, but the gap to Igloo narrowed from July as several brands moved closer together.
  • Solo Brands, Fireside Outdoor and Conair all gained coverage versus baseline, though the smaller gains came from limited recommendation counts.
  • Blackstone, Camp Chef, Weber and Traeger all fell sharply from September to October, reversing part of the prior month’s spike.
  • The benchmark only covers recommendation-style prompts, so it captures brand placement but not pricing or direct comparison claims.

Executive Summary

Category leadership held in October 2026, but the movement beneath it ran opposite to September. YETI remains the coverage leader at 48.4%, still well clear of second-place Igloo at 41.5%, a gap of 6.9 points. That gap is narrower than at baseline: in July 2026, YETI stood at 51.1% against Igloo's 40.0%, a spread of 11.1 points. Leadership has not changed; the distance between first and second has compressed.

The largest riser against baseline is Solo Brands, Inc. (Solo Stove), up 4.9 points from 9.5% in July 2026 to 14.4% in October 2026, with its rank-one rate up 2.9 points and its top-3 rate up 4.5 points. The sharpest single-month reversal was Igloo, which moved up 41.5 points from the prior month after recording no valid recommendation coverage under its own name in September. Fireside Outdoor, up 3.3 points from baseline to 3.8% in October 2026, also registers as a significant riser. Conair LLC (parent of Cuisinart Outdoor) rose 1.5 points from 0.3% in July 2026 to 1.8% in October 2026, extending a two-month upward streak, though the absolute counts are tiny: 7 valid recommendations.

The sharpest decliner against baseline is YETI, down 2.7 points from 51.1% in July 2026 to 48.4% in October 2026, a move the benchmark classifies as within normal variation. Month to month is the sharper story for several brands: Blackstone fell 22.8 points from 45.6% in September to 22.8% in October, Camp Chef fell 14.2 points to 20.5%, Traeger, Inc. fell 16.8 points to 15.2%, and Weber Inc. fell 16.6 points to 16.7%. September was the spike month; October returned several brands to territory closer to their July baseline. No brand is classified by the benchmark as a significant decliner this month.

Each monthly run begins with 800 prompt-surface observations (607 unique questions in October, versus 554 in July, 602 in August, and 582 in September) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 683 were relevant and 117 were irrelevant in October, versus 689 relevant and 111 irrelevant in July. The public metrics use the 395 qualified observations in October, against 370 in July, that survive both qualification stages.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%15%30%45%60%Jul 2026Aug 2026Sep 2026Oct 2026
  • YETI48.4%
  • Igloo41.5%
  • Blackstone22.8%
  • Camp Chef20.5%
  • Weber Inc.16.7%
  • Traeger, Inc.15.2%
  • Solo Brands, Inc. (Solo Stove)14.4%
  • GSI Outdoors4.8%
  • Fireside Outdoor3.8%
  • Conair LLC (parent of Cuisinart Outdoor)1.8%
  • Igloo Products Corp.0.0%
  • YETI Holdings, Inc.0.0%

Key Findings

Signal

October 2026 finding

Category leader

YETI leads at 48.4% valid recommendation coverage

Gap to second

6.9 points ahead of Igloo at 41.5%

Largest riser vs baseline

Solo Brands, Inc. (Solo Stove), up 4.9 points from 9.5% in July 2026

Sharpest baseline decliner

YETI, down 2.7 points from 51.1% in July 2026, within normal variation

Sharpest prior-month decline

Blackstone, down 22.8 points from 45.6% in September 2026

Category state

Nine brands stable against baseline; three significant risers; no significant decliners

AI Response Inconsistency Alerts

Questions This Section Answers

  • What factual inconsistencies did AI platforms surface about Blackstone and Igloo products?
  • How large were the price and ice retention discrepancies reported this month?

The benchmark surfaced two critical or high-severity factual inconsistencies this month, spanning two AI platforms.

Blackstone

AI platforms provided conflicting information about the price of the Blackstone 36-inch griddle at high severity. When asked "What is the best flat top grill to buy?", ChatGPT stated that the Blackstone 36-inch 4-burner costs about $297, citing a best flat top grill guide, Forbes Vetted, and a Home Depot Labor Day sale page. Google AI Overviews stated that the Blackstone 36-inch Omnivore Griddle with Hood costs about $550, citing The Barbecue Lab's outdoor griddle review, a Google shopping product listing, and a Wired guide to flat-top grills and griddles. The same griddle cannot simultaneously carry both price points, so at least one of the two responses is misleading to a buyer comparing options on price. The discrepancy may reflect model configuration differences, bundle differences, or stale source pages; the benchmark records the conflict, not its cause.

Igloo

AI platforms provided conflicting information about the ice retention of the Igloo IMX cooler at high severity. When asked "How does Igloo IMX compare to yeti?", one Google AI Overviews response stated that the IMX typically manages around 5 to 6 days of ice retention, citing Advnture's Yeti-versus-Igloo feature, a dedicated Igloo IMX review, and a comparison article. A second Google AI Overviews response to the same question stated that, in ideal conditions, the IMX can hold ice for 3 to 4 days, citing the same Advnture feature alongside a West Marine cooler buyer's guide and a three-way cooler comparison. The two answers give non-overlapping durations for the same product. One source page, a retailer post stating that IMX, BMX, and Workman coolers claim to stay cold for up to 5 days, was flagged on the side of the longer claim. Buyers asking a head-to-head comparison question are receiving materially different endurance estimates depending on which response they see.

Benchmark Context

Questions This Section Answers

  • How did the qualified observation set change between July and October 2026?
  • What do the benchmark-level metrics say about how often AI answers take a recommendation-shaped form?

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 set moved from 370 observations in July 2026 to 395 in October 2026, so brand-level rates for the two months sit on slightly different denominators.

Research stage

Jul 2026

Oct 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompt-surface runs in the benchmark universe

Unique questions

554

607

Distinct questions after de-duplication

Brand / competitor mentions

800

800

Prompts mentioning a tracked brand or competitor

Relevant prompts

689

683

Prompts relevant to the category

Irrelevant prompts

111

117

Prompts set aside as not relevant

Qualified benchmark observations

370

395

Public denominator for brand-level metrics

Qualified surface breadth

6

6

AI surface families with at least one qualified observation

Qualified surface breadth held at six AI surface families in both months, so the shift in brand-level rates reflects the change in qualified observation volume rather than a difference in which platforms were sampled.

Benchmark-Level Metrics

Metric

Jul 2026

Oct 2026

Change

Qualified observations

370

395

Up 25

Companies tracked

10

10

No change

Recommendation-shaped answer share

37.6%

63.0%

Up 25.5 points

Valid recommendation shortlist share

72.7%

81.8%

Up 9.1 points

Category leader by coverage

YETI at 51.1%

YETI at 48.4%

Leader unchanged

The September 2026 month sat between these two points and is worth naming for interpretation: it carried 450 qualified observations, the high point of the series, with a recommendation-shaped answer share of 41.3% and a valid recommendation shortlist share of 61.6%. October's qualified set fell back to 395 observations, but the share of answers taking a recommendation-shaped form rose to 63.0%, the highest of the four months. The category is being asked for recommendations more often even on a smaller qualified set.

AI Recommendation Trend

Questions This Section Answers

  • Who leads camp cooking and outdoor recommendations, and how tight is the race for second and third?
  • Which brands gained or lost coverage against baseline, and which cleared significance thresholds?

Leadership held in October, but the second and third positions sit inside a tight cluster where small movement reorders the field.

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

YETI

51.1%

48.4%

Down 2.7 points

1st

Igloo

40.0%

41.5%

Up 1.5 points

2nd

Blackstone

21.6%

22.8%

Up 1.2 points

3rd

Camp Chef

16.2%

20.5%

Up 4.3 points

4th

Weber Inc.

14.9%

16.7%

Up 1.8 points

5th

Traeger, Inc.

11.9%

15.2%

Up 3.3 points

6th

Solo Brands, Inc. (Solo Stove)

9.5%

14.4%

Up 4.9 points

7th

GSI Outdoors

5.9%

4.8%

Down 1.1 points

8th

Fireside Outdoor

0.5%

3.8%

Up 3.3 points

9th

Conair LLC (parent of Cuisinart Outdoor)

0.3%

1.8%

Up 1.5 points

10th

Igloo Products Corp.

0.0%

0.0%

No change

Not ranked

YETI Holdings, Inc.

0.0%

0.0%

No change

Not ranked

The category-level change between July and October came from a combination of several smaller movements rather than one brand exceeding normal month-to-month variation. Three brands cleared their significance thresholds against baseline, but each did so from a small base, and no brand recorded a significant baseline decline. The larger story sits in the prior-month comparison: September's spike receded for five brands at once.

What Changed This Month

Questions This Section Answers

  • Which brands saw the sharpest month-to-month reversals from September to October?
  • What separates the brands that gained top-three placements from those that lost first-place placements?

YETI

YETI's valid recommendation coverage slipped from 51.1% in July 2026 (189 valid recommendations) to 48.4% in October 2026 (191 valid recommendations), a fall of 2.7 points that the benchmark classifies as within normal variation. The prior month sat at 0.0% under the YETI Holdings, Inc. tracked name, so the October figure reflects a return to the YETI entity rather than a fresh gain.

Placement held firm: the rank-one rate was 31.9% in October against 30.3% in July, and the top-3 rate was 44.8% against 42.7%. Raw mention presence slipped from 66.5% to 60.2%, a 6.3-point decline that did not clear its threshold. YETI recorded 126 rank-one mentions in October.

The distinction is that YETI's coverage is now slightly lower on a slightly higher count: 191 valid recommendations in October versus 189 in July, on a larger qualified set of 395 observations versus 370. The rate fell because the denominator grew while the count barely moved. The brand remains the category's most recommended option by a clear margin, and it is recommended first more than three times as often as any other tracked brand.

Highest-priority diagnostic: Which prompt and surface combinations account for the 6.3-point slide in raw mention presence, and whether those are the same prompts where YETI still holds rank one.

Igloo

Igloo's coverage rose from 40.0% in July 2026 (148 valid recommendations) to 41.5% in October 2026 (164 valid recommendations), a gain of 1.5 points classified as within normal variation. The headline movement is against the prior month: Igloo recorded 0.0% in September under the Igloo Products Corp. tracked name, so the October figure represents a 41.5-point return.

Placement strengthened. The top-3 rate was 30.9% in October against 24.1% in July, a 6.8-point gain that cleared its threshold, and the rank-one rate rose from 3.8% to 6.6%. Igloo recorded 122 top-3 mentions and 26 rank-one mentions in October, versus 89 and 14 in July.

The distinction is the gap between presence and recommendation. Igloo appeared in 53.4% of qualified observations but converted 41.5% into valid recommendations, meaning a meaningful share of its appearances do not result in a recommendation. Its top-3 rate at 30.9% sits well below its coverage rate, so Igloo is recommended often but placed in the top three less than a third of the time.

Highest-priority diagnostic: Which prompts produce an Igloo mention without a top-three placement, and which brand occupies the placement Igloo leaves open.

Solo Brands, Inc. (Solo Stove)

Solo Stove's coverage rose from 9.5% in July 2026 (35 valid recommendations) to 14.4% in October 2026 (57 valid recommendations), a gain of 4.9 points that cleared its threshold. The prior month reached 28.0% in September before falling 13.6 points back, so the October level sits above baseline but well below the September peak.

Every placement metric moved in the same direction against baseline. The top-3 rate rose from 5.4% to 9.9%, the rank-one rate from 2.2% to 5.1%, and raw mention presence from 12.4% to 19.2%. Solo Stove recorded 39 top-3 mentions and 20 rank-one mentions in October, against 20 and 8 in July.

The distinction is breadth: the gain is not concentrated in one metric. The brand is appearing more often, being placed in the top three more often, and being placed first more often. Its rank-one rate of 5.1% is now the second highest in the category behind YETI and Blackstone, despite the brand's much smaller overall coverage.

Highest-priority diagnostic: Which fire pit and camp cooking prompts are converting into rank-one placements, and whether those prompts overlap with the ones driving the top-3 rate.

Blackstone

Blackstone's coverage moved from 21.6% in July 2026 (80 valid recommendations) to 22.8% in October 2026 (90 valid recommendations), a gain of 1.2 points classified as within normal variation. The prior-month story is the sharper one: Blackstone reached 45.6% in September, then fell 22.8 points, the largest single-month decline in the category this month.

The placement picture strengthened against baseline even as coverage flattened. The rank-one rate rose from 9.5% to 16.5%, a 7.0-point gain that cleared its threshold, and the top-3 rate rose from 18.1% to 22.0%. Blackstone recorded 87 top-3 mentions and 65 rank-one mentions in October, against 67 and 35 in July. Raw mention presence held roughly flat at 35.4% versus 35.1%.

The distinction is that Blackstone's rank-one rate gain is larger than its coverage gain, meaning the brand is being named elsewhere in answers at similar frequency but named first more often. Its rank-one rate is now second in the category behind YETI.

Highest-priority diagnostic: Which prompts drove the 65 rank-one mentions in October, and whether the September-to-October coverage decline came from lost prompts or from reordered placements within the same prompts.

Camp Chef

Camp Chef's coverage rose from 16.2% in July 2026 (60 valid recommendations) to 20.5% in October 2026 (81 valid recommendations), a gain of 4.3 points that stayed within normal variation. The prior month reached 34.7% in September before falling 14.2 points.

Placement improved modestly. The top-3 rate rose from 9.5% to 12.9% and the rank-one rate from 2.4% to 3.8%, neither clearing its threshold. Raw mention presence moved from 29.5% to 32.1%. Camp Chef recorded 51 top-3 mentions and 15 rank-one mentions in October.

The distinction is the persistent gap between presence and recommendation. Camp Chef was mentioned in 32.1% of qualified observations but converted only 20.5% into valid recommendations, and its top-3 rate at 12.9% sits well below its coverage. The brand is visible far more often than it is placed.

Highest-priority diagnostic: Which prompt types surface Camp Chef without a recommendation, and which competitor takes the recommendation slot in those answers.

Weber Inc. and Traeger, Inc.

Weber's coverage rose from 14.9% in July 2026 (55 valid recommendations) to 16.7% in October 2026 (66 valid recommendations), a gain of 1.8 points. Traeger's rose from 11.9% (44 valid recommendations) to 15.2% (60 valid recommendations), a gain of 3.3 points. Both sit inside normal variation against baseline and both fell sharply from September, Weber by 16.6 points and Traeger by 16.8 points.

Their placement profiles diverged in opposite directions. Weber's rank-one rate fell from 5.1% to 2.8%, a 2.3-point decline that stayed within threshold, while its top-3 rate rose from 12.2% to 14.2%. Traeger's rank-one rate fell from 3.5% to 1.3%, a 2.2-point decline that did clear its threshold, while its top-3 rate rose from 10.8% to 13.7%. Weber recorded 56 top-3 and 11 rank-one mentions; Traeger recorded 54 and 5.

The distinction is that both brands gained top-three placements while losing first-place placements. They are being recommended more often but less often first.

Highest-priority diagnostic: What separates the prompts where each brand holds rank one from the larger set where it holds a top-three placement, and whether those prompts overlap.

Fireside Outdoor and Conair LLC (parent of Cuisinart Outdoor)

Fireside Outdoor's coverage rose from 0.5% in July 2026 (2 valid recommendations) to 3.8% in October 2026 (15 valid recommendations), a gain of 3.3 points that cleared its threshold. Its top-3 rate rose from 0.5% to 3.0%, its rank-one rate from 0.3% to 0.8%, and raw mention presence from 1.4% to 3.8%. Net sentiment stood at 1.0 in October. Conair rose from 0.3% in July (1 valid recommendation) to 1.8% in October (7 valid recommendations), a gain of 1.5 points that cleared its threshold, with raw mention presence rising from 0.5% to 3.0%.

The distinction is scale. Fireside Outdoor's 3.8% rests on 15 valid recommendations and Conair's 1.8% on 7. Fireside Outdoor's average recommended rank of 2.5 places it mid-pack; Conair's 4.4 places it near the bottom of any list it appears in. Conair's streak of two consecutive monthly gains is real but is built on single-digit counts.

Highest-priority diagnostic: Which specific prompt phrasings produce these recommendations, and whether the pattern holds at a larger observation count.

Buyer-Intent Interpretation

Questions This Section Answers

  • What can the benchmark measure about AI recommendations at the discovery and consideration stage, and what can it not yet answer?
  • Why do the inconsistency findings show the cost of the missing pricing and comparison prompt coverage?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Queries where a specific brand is recommended

Which brands win the recommendation slot and why

Pricing & Value

Queries about price and value trade-offs

Which brand is associated with price or value positioning

Multi-Brand Comparison

Queries comparing multiple brands head-to-head

Which brand wins the comparison and on what attributes

In October 2026, all 395 qualified observations fell into the brand recommendation cluster. The pricing and comparison clusters held zero qualified observations, as they did in July, August, and September. The public benchmark therefore measures which brands AI systems name and recommend in discovery and consideration prompts. It cannot yet answer what AI systems say about price positioning, which brand wins a value comparison, or which option prevails in a direct head-to-head. The inconsistency findings above illustrate the cost of that gap: price conflicts and comparison-claim conflicts are being surfaced inside recommendation-shaped answers, where the benchmark records the recommendation but not the supporting claim structure. Brands seeking price and comparison answers need a company-level analysis that expands the prompt set beyond the discovery and consideration stage.

Brand Opportunity Summary

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

YETI

48.4%

Category leader; rank-one rate of 31.9%; presence slipped 6.3 points from July

Which prompts drove the presence decline

Igloo

41.5%

Second place; top-3 rate up 6.8 points from July to 30.9%

Why top-3 placement lags coverage by more than 10 points

Blackstone

22.8%

Rank-one rate up 7.0 points to 16.5%; coverage fell 22.8 points from September

Whether the September-to-October drop came from lost prompts or reordered placements

Camp Chef

20.5%

Coverage up 4.3 points from July, inside normal variation

Why presence at 32.1% converts to coverage at only 20.5%

Weber Inc.

16.7%

Top-3 rate up to 14.2%; rank-one rate down to 2.8%

What separates the rank-one prompts from the top-three prompts

Traeger, Inc.

15.2%

Rank-one rate fell 2.2 points to 1.3%, a significant decline

Which prompts account for the 5 rank-one mentions

Solo Brands, Inc. (Solo Stove)

14.4%

Broad-based gain across presence, top-3, and rank-one rate from July

Which fire pit prompts are converting into rank-one placements

GSI Outdoors

4.8%

19 valid recommendations; rank-one count of 5

Whether the small baseline decline reflects anything systematic

Fireside Outdoor

3.8%

15 valid recommendations; top-3 rate up 2.5 points from July

Which product category accounts for the 15 recommendations

Conair LLC (parent of Cuisinart Outdoor)

1.8%

7 valid recommendations; two-month upward streak

Whether any prompt reliably surfaces Cuisinart Outdoor

Igloo Products Corp.

0.0%

Not ranked as a separate entity this month

Whether this tracked name returns in future runs

YETI Holdings, Inc.

0.0%

Not ranked as a separate entity this month

Whether this tracked name returns in future runs

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 Visibility Market Discovery research program.

Report-Specific Interpretation Notes

  • Several significant movers rest on small absolute counts this month. Solo Brands, Inc. (Solo Stove) gained 4.9 points on 57 valid recommendations, Fireside Outdoor gained 3.3 points on 15, and Conair LLC (parent of Cuisinart Outdoor) gained 1.5 points on 7. Small-count movement can reverse in a single month and should be read with that scale in mind.
  • The qualified denominator set the rate for every brand. The qualified set moved from 370 observations in July 2026 to 450 in September 2026 and back to 395 in October 2026. Several brands hold similar recommendation counts across months while their rates move, because the denominator changed.
  • Movement is directional. A brand gaining or losing recommendation credit identifies a change worth investigating. It does not by itself establish what caused the change.
  • Two tracked names, Igloo Products Corp. and YETI Holdings, Inc., appear in the series with zero coverage in October 2026. Their absence from the ranked field reflects how brand names were matched in this run and does not remove the brands' parent entities from the tracked set.

Next Step

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

Beneath every aggregate percentage sit questions the monthly benchmark cannot answer: which high-intent prompts a brand wins and which it loses, which competitor takes the recommendation slot when a brand is passed over, what attributes and price points AI systems associate with each option, and which external sources shape those answers. This month's inconsistency findings make the last question concrete: conflicting price and endurance claims are reaching buyers inside recommendation-shaped answers, and the aggregate view records the recommendation without capturing the claim.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It isolates which queries are winnable, which surfaces need attention, and which competitor narratives are displacing a brand in AI answers.

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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.
What Is Citation Architecture?
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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