CiteWorks Studio

Fi AI Market Strategy Report - GPS Dog Collars and Smart Pet Trackers

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Fi was present in 61.21% of qualified AI observations but earned valid recommendations in 47.06%, leaving a 14.15-point gap between mention and shortlist selection.
  • Fi's rank-one recommendation rate rose to 14.34% in September 2026, up 6.1 points since July, the largest gain on that metric in the category.
  • Copilot was Fi's strongest platform for first-position recommendations, while Google AI Mode showed the biggest weakness with a 0.85% rank-one rate despite solid presence.
  • Fi ranked third on top-three recommendation rate at 42.10%, trailing Halo Collar by 7.16 points and slightly behind Tractive despite strong sentiment and a 1.90 average recommended rank.

Answer Capsule

Fi holds a mid-tier position in AI-generated recommendations for GPS dog collars and smart pet trackers, with valid recommendation coverage of 47.06% in September 2026. The brand's clearest strength is its rank-one rate of 14.34%, which rose 6.1 points since July 2026, the largest gain on that metric in the category. Its clearest weakness is a top-three rate of 42.10% that trails the category leader Halo Collar by 7.16 points despite comparable presence. The clearest opportunity lies in converting Fi's strong presence across Google AI Overviews and Copilot into more consistent top-three placement in the Best Dog Gear and Collars Discovery cluster.

Who This Report Is For

This report is for brand, marketing, and growth leaders at Fi and other smart pet technology companies tracking how AI systems recommend their products during buyer discovery and consideration.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Fi

Category / market studied

GPS Dog Collars and Smart Pet Trackers

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

544

Competitors tracked

5

Executive Summary

Fi holds a visible but not dominant position in AI-generated recommendations for GPS dog collars and smart pet trackers. The benchmark shows Fi present in 61.21% of qualified observations, yet recommended in only 47.06% of them, a gap that indicates the brand is frequently mentioned without being selected for the buyer shortlist.

Sentiment framing for Fi is strongly positive, with 276 positive mentions, 54 neutral mentions, and only 3 negative mentions across 544 qualified observations. The brand's net sentiment score of 0.8198 reflects a public evidence layer that frames Fi favorably when it appears.

Fi's strongest cluster is Best Dog Gear and Collars Discovery, the only cluster with qualified observations in this benchmark period. Within that cluster, Fi's rank-one rate of 14.34% represents the category's largest gain since July 2026, rising 6.1 points from 8.2%. The brand's weakest signal is its top-three rate of 42.10%, which sits below both Halo Collar at 49.26% and Tractive at 43.57%.

The strongest platform signal for Fi is Copilot, where the brand achieves a 58.33% top-three rate and a 39.58% rank-one rate. The clearest platform gap is Google AI Mode, where Fi's rank-one rate falls to 0.85% despite a 39.83% top-ten rate, suggesting the brand is listed but rarely chosen first on that surface.

What Fi Is Winning

Questions This Section Answers

  • What is Fi's strongest metric gain since July 2026?
  • On which platform does Fi achieve its strongest recommendation placement?
  • What does Fi's average recommended rank of 1.90 indicate about its shortlist position?

Fi's rank-one momentum is the category's clearest win. The brand's rank-one rate rose from 8.2% in July 2026 to 14.34% in September 2026, a gain of 6.1 points that stands as the largest single metric movement in the category. Fi recorded 78 rank-one recommendations in September 2026, up from 46 in July 2026.

Fi's average recommended rank of 1.90 is the second-tightest in the category, behind only Tractive at 1.63. When Fi is recommended, it tends to appear near the top of the shortlist rather than buried in the middle.

Copilot represents a meaningful recommendation pocket for Fi. The brand achieves a 58.33% top-three rate and a 39.58% rank-one rate on that platform, the strongest rank-one performance Fi records on any tracked surface.

Where Fi Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • What is the size of Fi's presence-to-recommendation conversion gap?
  • Which competitor does Fi trail most on top-three rate despite comparable presence?
  • Why is Google AI Mode Fi's clearest platform gap?

Fi's central challenge is converting presence into recommendation. The brand appears in 61.21% of qualified observations but receives valid recommendations in only 47.06% of them, a conversion gap of 14.15 points that indicates Fi is often named without being shortlisted.

The gap is most visible against Halo Collar. Halo Collar achieves a 49.26% top-three rate compared with Fi's 42.10%, and Halo Collar's valid recommendation coverage of 61.76% exceeds Fi's 47.06% by 14.7 points. Fi's presence rate of 61.21% is closer to Halo Collar's 79.23% than its recommendation coverage suggests, meaning Fi loses ground specifically at the moment of selection.

Google AI Mode is Fi's clearest platform gap. Fi appears in 53.39% of Google AI Mode observations but achieves a rank-one rate of only 0.85%, with just 1 rank-one recommendation across 118 observations. The brand is present and listed, but it is almost never the first-choice answer on that surface.

Biggest Opportunity

Questions This Section Answers

  • Which platform gives Fi both its highest presence rate and the largest number of rank-one recommendations?
  • What should Fi strengthen to convert its Google AI Overviews presence into first-position placement?

Fi's biggest opportunity is converting its Google AI Overviews presence into rank-one placement. Fi appears in 72.02% of Google AI Overviews observations, its highest presence rate on any platform, yet its rank-one rate on that surface is 14.88%. The platform accounts for 25 of Fi's 78 rank-one recommendations, more than any other surface, indicating that Google AI Overviews is already Fi's most productive rank-one channel.

The path forward is to strengthen the citation and source layer that supports first-position recommendations on Google AI Overviews, where Fi's presence is already strong but its top-of-list conversion remains incomplete.

Competitive Landscape

Questions This Section Answers

  • Where does Fi rank in the category on top-three rate and rank-one rate?
  • How far behind Halo Collar's top-three rate does Fi sit?
  • Which two brands lead Fi in recommendation-stage position?

Halo Collar holds the strongest recommendation-stage position in the category, leading in valid recommendation coverage and top-three rate. Tractive leads in rank-one placement despite lower overall coverage. Fi sits in third position, with a rank-one rate that is improving but a top-three rate that trails the two leaders.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Halo Collar

49.26%

6.07%

2.65

0.7958

Tractive

43.57%

27.94%

1.63

0.8166

Fi

42.10%

14.34%

1.90

0.8198

Garmin Ltd.

17.83%

3.86%

3.14

0.8066

PetSafe

25.37%

6.07%

2.38

0.8350

Average recommended rank covers rank-eligible recommendations only.

Fi's top-three rate of 42.10% places it third in the category, within 1.47 points of Tractive but 7.16 points behind Halo Collar. Its rank-one rate of 14.34% is the second-highest in the category, though it trails Tractive's 27.94% by a substantial margin. Fi's average recommended rank of 1.90 indicates that when the brand is recommended, it appears near the top of the list.

Prompt Evidence

Google AI Overviews / Best Dog Gear and Collars Discovery Prompt: "best gps dog collar" Result: Fi appeared in a valid recommendation shortlist, contributing to its 54.17% coverage on this platform.

Copilot / Best Dog Gear and Collars Discovery Prompt: "gps dog collar" Result: Fi achieved rank-one placement, consistent with its 39.58% rank-one rate on Copilot, the brand's strongest platform for first-position recommendations.

Google AI Mode / Best Dog Gear and Collars Discovery Prompt: "dog gps tracker" Result: Fi was listed in the response but rarely selected first, reflecting the platform's 0.85% rank-one rate for the brand.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Fi's prompt-level presence across all six tracked platforms to identify which question types drive its 14.15-point gap between presence and recommendation coverage.

Phase 2: Recommendation Readiness Plan Strengthen the product comparison, differentiation, and trust signals that AI systems use when deciding whether to shortlist Fi or name it as context only.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers best-collar and best-tracker discovery prompts directly, giving AI systems a clear Fi-specific source to cite for top-three placement.

Phase 4: Citation / Authority Layer Development Build the backlink-supported evidence layer that helps Google AI Overviews and Google AI Mode position Fi as a first-choice answer rather than a listed option.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Fi's presence-to-recommendation conversion, rank-one rate, and platform-level movement monthly to measure whether the gap with Halo Collar is closing.

Why This Matters

AI-generated recommendations are becoming the buyer shortlist for GPS dog collars and smart pet trackers. Fi is present in most AI answers, but presence alone does not put the brand on the shortlist, and shortlist placement alone does not put it at the top of the list.

The next move for Fi is targeted correction of the prompt, page, and citation layers that determine whether AI systems recommend the brand first, recommend it at all, or simply mention it as one option among many. The benchmark shows where Fi stands; the work is in closing the gap between being named and being chosen.

Core Metrics

Metric

Value

Mentions

333

Valid recommendations

256

Top 3 recommendation count

229

Rank #1 recommendation count

78

Average recommended rank

1.90

Positive mentions

276

Neutral mentions

54

Negative mentions

3

Raw mention presence rate

61.21%

Valid recommendation coverage

47.06%

Top 3 recommendation rate

42.10%

Rank #1 recommendation rate

14.34%

Net sentiment score

0.8198

Strongest cluster by recommendation behavior

Best Dog Gear and Collars Discovery

Strongest platform by recommendation behavior

Copilot

Sentiment Score

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

For Fi, the calculation is (276 × 1 + 54 × 0 + 3 × -1) / 333, producing a net sentiment score of 0.8198.

This score matters because unclassified mention counts are misleading. 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. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because a brand can appear frequently yet be framed in ways that do not drive selection.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

33

27

5

1

0.7879

Positive, but sample too small

Copilot

32

28

4

0

0.8750

Strongest public recommendation signal

Gemini

49

37

11

1

0.7347

Present, but not recommendation-led

Perplexity

35

33

1

1

0.9143

Positive, but sample too small

Google AI Overviews

121

95

26

0

0.7851

Present as context, not recommendation

Google AI Mode

63

56

7

0

0.8889

Present, but not recommendation-led

Methodology

  1. Report orientation: This is a benchmark-based analysis of how AI systems recommend Fi within the GPS Dog Collars and Smart Pet Trackers category. It is not a client implementation case study and does not measure sales outcomes.
  2. Reporting window: Data reflects September 2026, with trend comparisons to July 2026 and August 2026 where available.
  3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, representing six canonical AI and search surface families.
  4. Observation count: 544 qualified benchmark observations in September 2026, drawn from 800 source prompt-surface observations.
  5. Competitor universe: Fi, Garmin Ltd., Halo Collar, PetSafe, and Tractive.
  6. Public clusters used: The September 2026 benchmark contains qualified observations only in the Best Dog Gear and Collars Discovery cluster, classified under the Brand Recommendation buyer-intent class.
  7. Stage 0 role: Raw prompt-surface observations were collected and qualified before brand-level metrics were calculated. The public denominator is the qualified set, not the raw collection.
  8. Definition of a mention: A brand appears anywhere in an AI response, regardless of whether it is recommended.
  9. Definition of a valid recommendation: A brand appears in a recommendation shortlist within the AI response, distinct from a neutral reference or cautionary mention.
  10. Limitations: The public benchmark does not include qualified observations for Pricing and Value or Multi-Brand Comparison clusters. Brand-level percentages use the qualified denominator, so month-over-month comparisons reflect the qualified set. Source presence in the evidence layer is not automatically proof that a source caused a recommendation. Monetary benchmark metrics are excluded from this report.

See How AI Is Recommending Your Brand

The public benchmark shows where Fi wins and loses in AI-generated recommendations, but the aggregate percentages do not reveal which prompts drive rank-one placement or which competitor takes the recommendation when Fi loses it. A company-level AI visibility audit maps those prompt, platform, competitor, and evidence-source patterns into a prioritized strategy for converting Fi's strong presence into stronger recommendation placement.

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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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