Solo Brands, Inc. (Solo Stove) AI Market Strategy Report - Camp Cooking, Grills and Outdoor

Answer Capsule

Solo Brands, Inc. (Solo Stove) holds the strongest recommendation-weighted position in the Camp Cooking, Grills and Outdoor category for September 2026, with a valid recommendation coverage of 28.0% and a rank-one rate of 9.3%. The brand converts presence into recommendations efficiently, with 126 valid recommendations from 176 mentions, and carries a net sentiment score of 0.78. Its clearest strength is first-position recommendation power on Perplexity and Gemini, while its clearest weakness is a comparatively low top-three rate relative to its overall coverage. The biggest opportunity is converting its strong presence on ChatGPT into recommendation coverage, where the brand appears in 20.4% of observations but is recommended in only 9.3%.

Who This Report Is For

This report is for brand, marketing, and digital strategy leaders at Solo Brands, Inc. (Solo Stove) and its agencies who need to understand where the brand wins, loses, and underperforms in AI-generated recommendations across the camp cooking, grills, and outdoor cooking category.

Report Card

Executive Summary

Solo Brands, Inc. (Solo Stove) holds the strongest recommendation-weighted position in the September 2026 benchmark, with a valid recommendation coverage of 28.0% across 450 qualified observations. The brand recorded 176 mentions, of which 138 were positive, 38 neutral, and none negative, producing a net sentiment score of 0.78. This places Solo Stove fifth in overall coverage but first in captured share of AI opportunity at 20.35%, ahead of category leader Blackstone at 14.13%.

The brand's strongest cluster is the Brand Recommendation class, which accounts for all 450 qualified observations in the public benchmark. Within that cluster, Solo Stove's strongest platform signal is Perplexity, where it holds a rank-one rate of 18.52% and a valid recommendation coverage of 35.19%. Its weakest platform signal is ChatGPT, where the brand appears in 20.37% of observations but converts to valid recommendations in only 9.26% of cases.

The clearest gap is recommendation conversion on ChatGPT. Solo Stove is present in 11 of 54 ChatGPT observations but receives only 5 valid recommendations, suggesting the brand is named as context or comparison rather than as a chosen option. The brand also shows a top-three rate of 18.22% against a valid recommendation coverage of 28.0%, indicating that when Solo Stove is recommended, it is frequently placed outside the top three positions.

What Solo Brands, Inc. (Solo Stove) Is Winning

Solo Stove leads the category in captured share of AI opportunity at 20.35%, ahead of Blackstone at 14.13% and Camp Chef at 8.18%. This is the strongest single metric in the competitive set and indicates that when Solo Stove is recommended, it tends to appear in high-value positions.

The brand holds the strongest rank-one rate among the top five competitors at 9.33%, ahead of Weber Inc. at 8.22% and Camp Chef at 6.44%. Solo Stove recorded 42 rank-one recommendations in September 2026, more than any competitor except Blackstone.

Solo Stove's net sentiment score of 0.78 is the second strongest among the top five brands, behind only Traeger, Inc. at 0.82. The brand recorded zero negative mentions across all 450 observations, a clean framing profile that supports recommendation readiness.

On Perplexity, Solo Stove holds a rank-one rate of 18.52% and a valid recommendation coverage of 35.19%, both the strongest platform-specific signals for the brand. On Gemini, the rank-one rate reaches 13.64%, the highest of any tracked platform for the brand.

Where Solo Brands, Inc. (Solo Stove) Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Where is Solo Stove's presence-to-recommendation conversion gap widest?
• How does Solo Stove's top-three placement compare with its overall recommendation coverage?

The clearest gap is ChatGPT recommendation conversion. Solo Stove appears in 11 of 54 ChatGPT observations (20.37% presence) but receives only 5 valid recommendations (9.26% coverage). This is a presence-without-recommendation pattern: the brand is named in AI answers but is not being selected as the recommended option. The gap between presence and coverage on ChatGPT is 11.11 percentage points, the widest of any platform for the brand.

The second gap is top-three placement relative to overall coverage. Solo Stove's top-three rate of 18.22% sits well below its valid recommendation coverage of 28.0%. This means that of the 126 valid recommendations the brand received, only 82 appeared in the top three positions. Competitors like Blackstone show a tighter relationship, with a top-three rate of 36.0% against coverage of 45.6%.

The third gap is AI Mode recommendation depth. Solo Stove appears in 48 of 116 AI Mode observations (41.38% presence) but receives only 25 valid recommendations (21.55% coverage). The brand is frequently mentioned in AI Mode answers without being recommended, a pattern that mirrors the ChatGPT gap at larger scale.

Biggest Opportunity

Questions This Section Answers

• Which platform surface offers Solo Stove the clearest opportunity to convert presence into recommendation coverage?

The clearest opportunity is converting Solo Stove's strong AI Mode presence into recommendation coverage. The brand appears in 41.38% of AI Mode observations, the highest presence rate of any platform for Solo Stove, but converts to valid recommendations in only 21.55% of cases. This is a gap of nearly 20 percentage points between presence and recommendation.

AI Mode is the largest platform surface in the benchmark at 116 observations, and Solo Stove already holds a rank-one rate of 4.31% there. Closing the presence-to-recommendation gap on this surface would move the brand from fifth in overall coverage toward the top of the category. The evidence suggests the brand is being surfaced as a known option in AI Mode answers but is losing the recommendation slot to competitors, most likely Blackstone and Traeger, which hold stronger top-three positions on the same surface.

Competitive Landscape

Questions This Section Answers

• How does Solo Stove's recommendation position compare against Blackstone and the rest of the competitive set?

Blackstone leads the category in valid recommendation coverage at 45.6%, with Solo Stove holding the strongest recommendation-weighted position at 28.0% coverage and a 20.35% captured share of AI opportunity. The competitive set shows a clear tier of five brands with meaningful recommendation coverage, followed by a long tail of smaller players.

Average recommended rank covers rank-eligible recommendations only.

The table shows Solo Stove holding the strongest captured share of AI opportunity despite ranking fifth in top-three rate. The brand's rank-one rate of 9.33% is the second strongest in the category, and its average recommended rank of 2.51 places it ahead of Camp Chef and Traeger. Blackstone dominates on top-three and rank-one placement, while Solo Stove competes most directly with Weber and Camp Chef for the second tier of recommendation positions.

Prompt Evidence

Perplexity / Brand Recommendation Prompt: "What is the best fire pit to buy?" Result: Solo Stove was recommended first, holding a rank-one rate of 18.52% on this platform and appearing in 25 of 54 observations.

ChatGPT / Brand Recommendation Prompt: "What is the best fire pit for family?" Result: Solo Stove appeared in the answer but was not consistently recommended, contributing to a presence rate of 20.37% against a valid recommendation coverage of 9.26%.

Gemini / Brand Recommendation Prompt: "What is the safest fire pit for my backyard?" Result: Solo Stove received a rank-one recommendation in 13.64% of Gemini observations, the strongest first-position signal for the brand on any platform.

AI Mode / Brand Recommendation Prompt: "What's the best fire pit to buy?" Result: Solo Stove appeared in 48 of 116 observations but was recommended in only 25, showing a presence-to-recommendation conversion gap on the largest platform surface.

What CiteWorks Studio Would Do Next

Questions This Section Answers

• What phased actions should Solo Stove take to close its AI recommendation gaps?

Phase 1: AI Market Discovery Audit Map the specific fire pit and smokeless fire pit prompts where Solo Stove wins rank-one placement on Perplexity and Gemini, and identify which competitor takes the recommendation slot when Solo Stove is displaced.

Phase 2: Recommendation Readiness Plan Close the ChatGPT and AI Mode presence-to-recommendation gaps by identifying which answer patterns surface Solo Stove as context rather than as a chosen option, and which competitor narratives are winning those recommendation slots.

Phase 3: Owned Answer Layer Buildout Strengthen owned content around smokeless fire pit technology, family safety, and backyard use cases to give AI systems clearer, more citable reasons to recommend Solo Stove first.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that supports Solo Stove's recommendation claims, focusing on third-party reviews, comparison content, and safety-focused outdoor cooking sources that AI systems can retrieve and cite.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Solo Stove's presence, valid recommendation coverage, top-three rate, and rank-one rate monthly across all six platforms, with particular attention to ChatGPT and AI Mode conversion rates.

Why This Matters

Questions This Section Answers

• Why is recommendation placement in AI answers becoming critical for outdoor cooking brands?

AI-generated recommendations are becoming the first filter in outdoor cooking and camp equipment purchase decisions. When a buyer asks an AI assistant which fire pit or grill to choose, the brands named first in the response hold an advantage that traditional search visibility cannot replicate. Solo Stove's strong presence across AI platforms is valuable, but presence alone does not win the recommendation slot.

The September 2026 benchmark shows that Solo Stove is being surfaced consistently but is not always being chosen. The gap between presence and recommendation on ChatGPT and AI Mode represents the clearest opportunity to convert awareness into selection. The next move is not broader visibility but targeted correction of the prompt, page, and citation layers that determine whether AI systems recommend Solo Stove or a competitor in the moments that shape buyer choice.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Solo Stove, the calculation is (138 × 1 + 38 × 0 + 0 × -1) / 176, producing a net sentiment score of 0.78.

This score matters because unclassified mention counts are misleading. A brand can appear in hundreds of AI answers and still lose the recommendation moment if those mentions are neutral references or comparison anchors rather than positive recommendations. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates genuine recommendation strength from mere presence.

Sentiment by Platform

Methodology

1. Report orientation: This report is a benchmark-based analysis of Solo Brands, Inc. (Solo Stove) recommendation visibility in the Camp Cooking, Grills and Outdoor category, using the LLM Authority Index AI Market Discovery Index as the evidence source. It is not a client implementation case study.
2. Reporting window: September 2026, with July 2026 and August 2026 referenced for movement context where available.
3. Platforms tracked: Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. Observation count: 450 qualified benchmark observations formed the public denominator for all brand-level metrics, drawn from 800 source prompt-surface observations.
5. Competitor universe: Ten brands were tracked: Blackstone, Camp Chef, Conair LLC (parent of Cuisinart Outdoor), Fireside Outdoor, GSI Outdoors, Igloo Products Corp., Solo Brands, Inc. (Solo Stove), Traeger, Inc., Weber Inc., and YETI Holdings, Inc.
6. Public clusters used: All 450 qualified observations fell into the Brand Recommendation buyer-intent class. Pricing and multi-brand comparison clusters held zero qualified observations in the public benchmark.
7. Stage 0 role: Raw prompt-surface observations were collected and qualified before entering the public benchmark. The public metrics use only the qualified observation set as the denominator.
8. Definition of a mention: A mention is any qualified observation where the brand appears in any form, regardless of whether it is recommended.
9. Definition of a valid recommendation: A valid recommendation is a qualified observation where the brand receives a clear recommendation, distinct from a neutral reference or comparison mention.
10. Limitations: The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, or causality from metric movement alone. Movements in recommendation coverage can reflect changes in query mix, model updates, or other factors not isolated by this benchmark.
11. Entity naming note: YETI and Igloo were tracked under their full corporate names (YETI Holdings, Inc. and Igloo Products Corp.) in September 2026, which affects continuity with July and August series for those brands.
12. Ranking interpretation: Top-three rate measures how often the brand appears among the top three recommendations. Rank-one rate measures how often the brand is the first recommendation. Average recommended rank covers rank-eligible recommendations only.

Get Your AI Visibility Audit

The public benchmark shows where Solo Stove wins and loses in AI-generated recommendations, but the aggregate percentages only tell part of the story. A company-level AI visibility audit maps the specific prompts, platforms, competitor displacements, and evidence sources behind those numbers, giving your team a prioritized plan for converting presence into recommendation coverage where it matters most.