CiteWorks Studio

Fi AI Market Strategy Report - Dog Gear, Collars and Outdoor Pet accessories

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Fi reached 41.1% valid recommendation coverage in September 2026, placing second behind Tractive by 1.3 points.
  • Raw mention presence rose to 58.4%, the second-highest in the category, with only 2 negative mentions out of 343 total mentions.
  • Fi’s top-three recommendation rate is close to Tractive’s, but its rank-one rate of 11.4% remains far lower than Tractive’s 27.6%.
  • Google AI Mode is the clearest weakness: Fi is frequently present there, but rarely selected as the first recommendation.

Answer Capsule

Fi holds the second-strongest valid recommendation coverage in the dog gear, collars and outdoor pet accessories category at 41.1% in September 2026, trailing category leader Tractive by just 1.3 points. The brand has gained recommendation coverage in each of the two months since the July 2026 baseline, with raw mention presence rising 6.3 points to 58.4%, the second-highest presence in the category. Fi's clearest weakness is its rank-one rate of 11.4%, which sits far below Tractive's 27.6% despite similar top-three rates. The clearest opportunity is converting Fi's strong presence and top-three placement into first-position recommendations, where the brand more than doubled its rank-one rate from July to September.

Who This Report Is For

This report is for marketing, brand, and growth leaders at Fi who need to understand how AI systems are recommending the brand in dog gear discovery and evaluation prompts, and where recommendation-stage visibility is being lost to competitors.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Fi

Category / market studied

Dog Gear, Collars and Outdoor Pet Accessories

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1

AI observations analyzed

587

Competitors tracked

3

Executive Summary

Fi holds 41.1% valid recommendation coverage in September 2026, placing it second in the dog gear, collars and outdoor pet accessories category behind Tractive at 42.4%. The gap between the two brands stands at 1.3 points, a narrow margin that leaves the leadership position contestable. Fi's coverage has risen in each of the two months since the July 2026 baseline, from 40.0% to 41.1%, even as the qualified observation base narrowed from 628 to 587.

The brand's raw mention presence reached 58.4% in September 2026, up 6.3 points from 52.1% in July 2026, a move the benchmark classifies as beyond normal month-to-month variation. Fi appeared in 343 of 587 qualified observations, with 271 positive mentions, 70 neutral mentions, and only 2 negative mentions. The positive visibility rate of 46.2% is the second-highest in the category, and the net sentiment score of 0.7843 reflects a strongly favorable framing environment.

Fi's strongest cluster is the only cluster with qualified observations in this public series: Best Dog Gear and Collars, Discovery and Evaluation, which captures brand recommendation prompts. All 587 qualified observations in September 2026 fell into this cluster, meaning the benchmark measures discovery and consideration intent only. The Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations, leaving those commercial question types unmeasured in the public series.

The strongest platform signal for Fi is AI Overviews, where the brand reaches 48.98% valid recommendation coverage, its highest of any tracked platform. The clearest platform gap is Google AI Mode, where Fi's rank-one rate falls to 2.19%, far below its performance on other surfaces. Fi's top-three rate of 37.48% sits close to Tractive's 40.03%, yet its rank-one rate of 11.41% trails Tractive's 27.60% by a wide margin, indicating the brand is frequently present in top positions but less often selected as the first recommendation.

What Fi Is Winning

Fi's most significant win is its two-month upward trajectory in valid recommendation coverage. The brand rose from 40.0% in July 2026 to 41.1% in September 2026, gaining ground in each month of the series. While the cumulative movement stayed within normal month-to-month variation, the direction is consistent and contrasts with declines at Ruffwear and Kurgo.

Raw mention presence is a clear strength. Fi's presence rate of 58.4% in September 2026 is up 6.3 points from July 2026, a move beyond normal variation, and ranks second in the category behind Tractive at 60.5%. The brand is being surfaced in AI answers at a high and improving rate.

Fi's top-three rate of 37.5% in September 2026 is close to Tractive's 40.0%, and the brand improved this rate by 5.6 points from 31.9% in July 2026. This places Fi within reach of the category leader on top-three placement, even where overall coverage still trails.

The rank-one trajectory is the sharpest positive signal in the category. Fi's rank-one rate more than doubled from 6.9% in July 2026 to 11.4% in September 2026, representing 67 first-position placements out of 587 qualified observations. This 4.5-point gain is the largest rank-one improvement among tracked brands across the series.

Fi also holds the strongest recommendation coverage on AI Overviews at 48.98%, ahead of Tractive's 52.38% by a narrow margin and well above the brand's performance on other platforms. ChatGPT coverage of 37.68% and Perplexity coverage of 42.39% add further platform strength.

Where Fi Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Fi's rank-one rate lag so far behind Tractive despite similar top-three rates?
  • Which platform shows the widest gap in Fi's first-position placement?
  • What does Fi's average recommended rank reveal about where it appears in AI answers?

Fi's clearest gap is rank-one placement. The brand's rank-one rate of 11.41% in September 2026 is less than half of Tractive's 27.60%, despite top-three rates that differ by only 2.6 points. This pattern indicates Fi is being recommended in the top three frequently but is less often selected as the first and most prominent recommendation. When a buyer asks which brand to choose, AI systems are naming Tractive first more than twice as often as Fi.

Google AI Mode is Fi's weakest platform for first-position placement. The brand's rank-one rate on this surface is 2.19%, compared with 39.42% for Tractive and 20.44% for Ruffwear. Fi's valid recommendation coverage on Google AI Mode is 40.88%, close to its overall rate, but the brand is appearing in lower positions within the answer set. This platform alone accounts for a substantial share of the rank-one gap.

Fi also trails on average recommended rank. The brand's average rank of 1.86 across rank-eligible recommendations is higher than Tractive's 1.42 and Ruffwear's 1.70, meaning Fi recommendations tend to appear later in the answer order. On Google AI Mode, Fi's average recommended rank rises to 2.22, while Tractive holds 1.21.

The brand's neutral visibility rate of 11.93% is the second-highest in the category, indicating a meaningful share of mentions where Fi is referenced without a clear recommendation. This is not negative framing, but it represents presence that does not convert into recommendation credit.

Biggest Opportunity

Questions This Section Answers

  • What is Fi's single most concentrated opportunity to close the rank-one gap with Tractive?
  • Why is Google AI Mode the clearest target for improving Fi's first-position rate?

Fi's biggest opportunity is converting its strong presence and top-three placement into first-position recommendations on Google AI Mode. The brand already achieves 40.88% valid recommendation coverage on this platform, yet its rank-one rate sits at just 2.19%, compared with 39.42% for Tractive. This is the single widest gap between Fi and the category leader on any platform, and it represents a concentrated target for improvement.

The rank-one gains Fi has already achieved across the full series, from 6.9% in July to 11.4% in September, demonstrate that first-position placement is movable. Extending that momentum to Google AI Mode, where the brand is present but not selected first, would narrow the overall rank-one gap with Tractive and strengthen Fi's position at the moment of recommendation.

Competitive Landscape

Questions This Section Answers

  • How does Fi's top-three and rank-one positioning compare with Tractive's and Ruffwear's?
  • Which brand with weaker overall coverage still beats Fi on first-position recommendations?

Tractive holds the strongest recommendation-stage position in the category with 42.4% valid recommendation coverage, followed closely by Fi at 41.1%. Ruffwear has declined significantly across the series and now sits at 35.4%, while Kurgo trails at 32.9%.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Tractive

40.03%

27.60%

1.4232

0.7803

Fi

37.48%

11.41%

1.8646

0.7843

Ruffwear

29.30%

18.74%

1.6989

0.9050

Kurgo

24.19%

3.75%

2.5118

0.9148

Average recommended rank covers rank-eligible recommendations only.

Fi's top-three rate is within 2.6 points of Tractive, but the rank-one gap is 16.2 points. Ruffwear, despite lower overall coverage, holds a higher rank-one rate than Fi at 18.74%, meaning Fi is being overtaken on first-position placement by a brand with weaker overall recommendation coverage.

Prompt Evidence

ChatGPT / Best Dog Gear and Collars, Discovery and Evaluation Prompt: "What is the best dog collar on the market?" Result: Fi appears in the answer set with positive framing, but Tractive is more frequently named first.

Google AI Mode / Best Dog Gear and Collars, Discovery and Evaluation Prompt: "What is the best dog tracker on the market?" Result: Fi is present and recommended, but rank-one placement drops to 2.19% on this platform, with Tractive taking the first position in most responses.

AI Overviews / Best Dog Gear and Collars, Discovery and Evaluation Prompt: "Is the Fi collar worth it?" Result: Fi receives strong positive framing and recommendation coverage of 48.98%, its strongest platform performance.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Fi's presence, placement, and sentiment across all six tracked platforms to identify where the brand is present but not recommended first.

Phase 2: Recommendation Readiness Plan Prioritize the Google AI Mode rank-one gap as the primary target, using prompt-level analysis to identify which query types favor Tractive over Fi.

Phase 3: Owned Answer Layer Buildout Strengthen Fi's owned content around high-intent discovery prompts where the brand is present but not selected first, with emphasis on tracker and collar comparison queries.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that AI systems can retrieve when forming recommendations, focusing on sources that support first-position placement.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Fi's rank-one rate and average recommended rank monthly to measure whether the Google AI Mode gap is closing against Tractive.

Why This Matters

Questions This Section Answers

  • Why does strong AI visibility fail to translate into first-position recommendations for Fi?
  • What is the commercial consequence of Tractive being named first more than twice as often as Fi?

Fi has achieved strong AI visibility in the dog gear category, with presence and top-three placement that rival the category leader. But visibility alone is not translating into first-position recommendations at the same rate. When buyers ask AI systems which brand to choose, Tractive is being named first more than twice as often as Fi, and that first position carries the strongest influence on the buyer shortlist.

The next move for Fi is targeted correction of the prompt, page, and citation layers that shape first-position placement, with Google AI Mode as the clearest starting point. Presence has been built. Recommendation conversion is the remaining gap.

Core Metrics

Metric

Value

Mentions

343

Valid recommendations

241

Top 3 recommendation count

220

Rank #1 recommendation count

67

Average recommended rank

1.8646

Positive mentions

271

Neutral mentions

70

Negative mentions

2

Raw mention presence rate

58.43%

Valid recommendation coverage

41.06%

Top 3 recommendation rate

37.48%

Rank #1 recommendation rate

11.41%

Net sentiment score

0.7843

Strongest cluster by recommendation behavior

Best Dog Gear and Collars, Discovery and Evaluation

Strongest platform by recommendation behavior

AI Overviews

Sentiment Score

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

For Fi in September 2026, this equals (271 x 1 + 70 x 0 + 2 x -1) / 343, producing a net sentiment score of 0.7843 on a scale from -1 to 1.

This score matters because unclassified mention counts are misleading. Fi's 343 total mentions include 70 neutral references where the brand is present but not clearly recommended, and those do not carry the same weight as positive recommendations. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, and a competitor-displaced mention are not equal outcomes. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the same presence rate can hide very different recommendation dynamics.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

39

28

11

0

0.7179

Present, but not recommendation-led

Copilot

29

24

4

1

0.7931

Positive, with minor negative framing

Gemini

51

35

16

0

0.6863

Present as context, not recommendation

Perplexity

47

43

3

1

0.8936

Strongest public recommendation signal

AI Overviews

99

78

21

0

0.7879

Strongest coverage platform

AI Mode

78

63

15

0

0.8077

Present, but rank-one gap is widest

Methodology

  1. Report orientation: This is a benchmark-based analysis of Fi's AI visibility and recommendation positioning in the dog gear, collars and outdoor pet accessories category, drawn from the LLM Authority Index AI Market Discovery Index public series. It is not a client implementation case study.
  2. Reporting window: September 2026, with July 2026 as the baseline month and August 2026 as an intermediate measurement.
  3. Platforms tracked: Six canonical AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. Observation count: The benchmark began with 800 source prompt-surface observations in September 2026, of which 587 qualified for the public denominator after relevance and qualification stages.
  5. Competitor universe: Four brands were tracked in the category: Fi, Kurgo, Ruffwear, and Tractive.
  6. Public clusters used: All 587 qualified observations in September 2026 fell into the Best Dog Gear and Collars, Discovery and Evaluation cluster, which captures brand recommendation intent. The Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations in the public series.
  7. Stage 0 role: Raw prompt-surface observations were collected and then passed through relevance filtering and qualification stages before entering the public benchmark denominator.
  8. Definition of a mention: A mention is any qualified observation where the brand appears in the AI response, regardless of whether it is recommended.
  9. Definition of a valid recommendation: A valid recommendation is a qualified observation where the brand appears with a clear recommendation, distinct from a neutral reference or a cautionary mention.
  10. Limitations: The public series measures brand recommendation discovery only and does not yet contain qualified observations for pricing and value or multi-brand comparison prompts. Movements are recorded as observed, not explained. Source presence is evidence about the information environment, not proof of causation.
  11. Ranking interpretation: Top-three rate measures how often a brand appears in the top three recommendation positions. Rank-one rate measures how often a brand is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
  12. Dataset normalization: All brand-level percentages use the qualified benchmark observations as the denominator, not the raw collection count. The qualified base narrowed from 628 in July 2026 to 587 in September 2026.

See How AI Is Recommending Your Brand

The public benchmark shows where Fi stands in AI-generated recommendations for dog gear, collars and outdoor pet accessories. A company-level AI visibility audit goes deeper, mapping the prompts, platforms, competitors, and evidence sources that shape where Fi is recommended first, second, or not at all. Understanding that pattern is the first step to converting presence into first-position recommendations.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

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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