CiteWorks Studio

How AI Search Is Recommending GPS Dog Collars and Smart Pet Trackers: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Halo Collar led valid recommendation coverage in September 2026 at 61.8%, maintaining a 13.1-point lead over Tractive.
  • Garmin Ltd. was the only brand with a significant three-month change, with coverage falling 6.8 points from 37.1% to 30.3%.
  • Tractive posted the largest metric decline, with rank-one rate dropping 8.1 points from 36.0% to 27.9%, though it still led the category on that measure.
  • Fi recorded the largest gain in rank-one rate, rising 6.1 points from 8.2% to 14.3% while overall coverage stayed nearly flat.

Executive Summary

Halo Collar remains the coverage leader in September 2026, with valid recommendation coverage of 61.8%, holding a 13.1-point lead over second-place Tractive at 48.7%. Garmin Ltd. is the only brand whose movement across the full July-to-September series reaches the threshold for significance, falling 6.8 points from 37.1% to 30.3% coverage. Tractive's rank-one rate decline of 8.1 points, from 36.0% to 27.9%, is the largest single metric movement recorded in the category this period, while Fi's rank-one rate gain of 6.1 points, from 8.2% to 14.3%, is the category's largest gain.

August-to-September was a quiet month by the benchmark's standards: no brand's month-over-month move exceeded the threshold for normal variation, and four of five tracked brands — Fi, Halo Collar, PetSafe, and Tractive — are classified as stable across the full series. Garmin Ltd.'s two-month decline stands as the category's only significant movement, while the shifts in Tractive's and Fi's rank-one placement point to a category where the coverage leader is stable but the placement immediately behind the leader is not.

Each monthly benchmark run begins with 800 prompt-surface observations across the tracked AI/search surfaces. In September 2026, those prompts produced 518 unique questions; all 800 mentioned a tracked brand or competitor; 703 were relevant and 97 were irrelevant; 544 observations qualified for the public benchmark. In July 2026, 800 prompts produced 488 unique questions, with 699 relevant and 101 irrelevant, yielding 564 qualified observations.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%20%40%60%80%Jul 2026Aug 2026Sep 2026
  • Halo Collar61.8%
  • Tractive48.7%
  • Fi47.1%
  • Garmin Ltd.30.3%
  • PetSafe30.0%

Key Findings

Signal

September 2026 finding

Coverage leader

Halo Collar leads at 61.8% valid recommendation coverage, up 0.3 points from July 2026

Largest metric movement

Tractive's rank-one rate fell 8.1 points, from 36.0% to 27.9%, the category's largest single metric movement

Largest coverage decline

Garmin Ltd. down 6.8 points from 37.1% to 30.3% coverage since July 2026, the category's only significant decline

Largest gain

Fi's rank-one rate rose 6.1 points, from 8.2% to 14.3%, the category's largest gain

Rank-one strength

Tractive holds the strongest rank-one rate at 27.9%, down from 36.0% in July 2026

Category stability

Four of five brands classified as stable in September 2026

Benchmark Context

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

Sep 2026

What it represents

Source prompt-surface observations collected

800

800

Raw prompt-surface observations across the defined AI/search surface universe

Unique questions

488

518

Distinct questions within the collected prompts

Brand / competitor mentions

800

800

Prompts mentioning a tracked brand or competitor

Relevant prompts

699

703

Prompts relevant to the vertical

Irrelevant prompts

101

97

Prompts excluded as irrelevant

Qualified benchmark observations

564

544

Public denominator for all brand-level metrics

Qualified surface breadth

6

6

AI surface families with at least one qualified observation

Qualified surface breadth held steady at six canonical AI/search families in both months, meaning the two periods draw on a materially consistent measurement footprint even though the qualified observation count moved. August 2026, the intermediate month, produced 527 qualified observations from 537 unique questions.

Benchmark-Level Metrics

Metric

Jul 2026

Sep 2026

Change

Qualified observations

564

544

Down 20

Companies tracked

5

5

No change

Recommendation-shaped answer share

28.5%

30.7%

Up 2.2 points

Valid recommendation shortlist share

76.4%

77.4%

Up 1.0 points

Category leader by coverage

Halo Collar (61.5%)

Halo Collar (61.8%)

Leader stable

The August 2026 observation count of 527 was the lowest in the series, with September 2026 recovering to 544. The share of recommendation-shaped answers rose from 28.5% in July 2026 to 30.7% in September 2026, suggesting AI systems returned recommendation-oriented content more often in the current month.

AI Recommendation Trend

Halo Collar Holds the Lead as Garmin Ltd. and Tractive Slip

Valid recommendation coverage, the share of qualified observations where a brand appears in a recommendation shortlist, is the primary lens for this analysis. In September 2026, Halo Collar leads at 61.8%, with Tractive second at 48.7% and Fi close behind at 47.1%.

Brand

Jul 2026

Sep 2026

Movement

Sep 2026 rank

Halo Collar

61.5%

61.8%

Up 0.3 points

1st

Tractive

54.1%

48.7%

Down 5.4 points

2nd

Fi

46.8%

47.1%

Up 0.3 points

3rd

Garmin Ltd.

37.1%

30.3%

Down 6.8 points

4th

PetSafe

29.1%

30.0%

Up 0.9 points

5th

Garmin Ltd. is the only brand whose three-month decline exceeded the threshold for normal variation. The category-level changes otherwise came from the combination of several smaller movements rather than any single decisive shift.

What Changed This Month

Garmin Ltd.: the significant decliner

Garmin Ltd. fell 6.8 points from 37.1% in July 2026 to 30.3% in September 2026, the only significant decline in the category across the three-month series. The decline was steady rather than sudden, with coverage at 33.8% in August 2026 before slipping another 3.5 points to 30.3% in September 2026. Garmin appeared in a valid recommendation shortlist in 165 of the 544 qualified benchmark observations in September 2026.

Garmin's raw mention presence slipped from 41.1% in July 2026 to 39.0% in September 2026, a relatively modest change. The sharper signal was in placement: its top-three rate fell 4.9 points from 22.7% to 17.8%. Its average recommended rank also loosened, from 3.08 to 3.14, meaning that when Garmin was recommended, it tended to be positioned lower in the list.

The category gap between Garmin and PetSafe narrowed from 8.0 points in July 2026 to 0.3 points in September 2026, while the gap between Fi and Garmin widened from 9.7 points to 16.8 points. These shifts place Garmin at the edge of the category's second tier rather than firmly within it.

Highest-priority diagnostic: Which question types and comparison prompts are driving Garmin's sustained decline in top-three placement, and what changed across the three-month period?

Fi: the category's largest gain

Fi's coverage held essentially flat, moving from 46.8% in July 2026 to 47.1% in September 2026, up just 0.3 points. Its rank-one rate, however, rose 6.1 points from 8.2% to 14.3%, the largest single metric gain in the category. Fi appeared in a valid recommendation shortlist in 256 of the 544 qualified benchmark observations in September 2026.

Fi's top-three rate rose from 39.4% to 42.1%, and its average recommended rank tightened from 2.09 to 1.90. Its rank-one count reached 78 in September 2026, up from 46 in July 2026. This pattern shows Fi being positioned as the first-choice answer more often even as its overall shortlist presence stayed flat.

The distinction to notice: Fi is appearing as the top-ranked answer in a growing subset of answers. Its rank-one rate of 14.3% is now closer to Halo Collar's 6.1% and PetSafe's 6.1% than to Tractive's category-leading 27.9%, but the direction of movement is notable.

Highest-priority diagnostic: Which prompts or surfaces drove Fi's rank-one gain, and does the pattern correlate with specific competitor losses?

Tractive: losing rank-one placement

Tractive fell 5.4 points from 54.1% in July 2026 to 48.7% in September 2026, a decline that stayed within normal variation for the full series. Its rank-one rate dropped 8.1 points from 36.0% to 27.9%, the most pronounced single metric movement in the category. Tractive appeared in a valid recommendation shortlist in 265 of the 544 qualified benchmark observations in September 2026.

Tractive's raw mention presence slipped from 66.7% to 64.1%, and its top-three rate fell from 48.2% to 43.6%. Its average recommended rank loosened from 1.44 to 1.63, meaning the brand is still placed near the top when recommended, but it is reaching that position less often.

The distinction to notice: Tractive still holds the strongest rank-one rate in the category at 27.9%, well above Fi's 14.3%. But the 8.1-point decline in rank-one placement across the three-month series is the largest downward movement of any brand on that metric, suggesting its position as the default recommendation is being contested.

Highest-priority diagnostic: Which surfaces or prompt types account for Tractive's declining rank-one placement, and which brands are taking the top spot when Tractive loses it?

Halo Collar: leadership steady, top placement improving

Halo Collar held its lead, with coverage essentially unchanged at 61.5% in July 2026 and 61.8% in September 2026. The brand appeared in a valid recommendation shortlist in 336 of the 544 qualified benchmark observations in September 2026, the highest count in the category.

Halo Collar's top-three rate rose 5.5 points from 43.8% to 49.3%. Its rank-one rate eased from 6.9% to 6.1%, and its average recommended rank tightened from 2.69 to 2.65. Raw mention presence rose from 77.1% to 79.2%, the highest presence rate in the category.

The distinction to notice: Halo Collar is appearing in more answers and being placed higher within shortlists, but its rank-one count of 33 remains well below Tractive's 152. The brand wins the shortlist while other brands still take the top placement more often.

Highest-priority diagnostic: Why does Halo Collar's strong coverage and improving top-three placement coexist with a rank-one rate that trails Tractive substantially?

PetSafe: steady at the bottom of the coverage ranking

PetSafe's coverage moved from 29.1% in July 2026 to 30.0% in September 2026, up 0.9 points, a change within normal variation. The brand appeared in a valid recommendation shortlist in 163 of the 544 qualified benchmark observations in September 2026. Its rank-one rate held essentially flat, from 6.2% to 6.1%, and its top-three rate rose from 23.8% to 25.4%.

PetSafe's raw mention presence slipped from 39.9% to 37.9%, meaning the brand is being mentioned in slightly fewer answers even as its shortlist presence held steady. Its average recommended rank of 2.38 places it behind Tractive's 1.63 and Fi's 1.90, the third-tightest positioning in the category.

The distinction to notice: PetSafe's gap behind Garmin Ltd. narrowed from 8.0 points in July 2026 to 0.3 points in September 2026, though this reflects Garmin's decline more than a gain by PetSafe. Both brands now sit in a tight cluster near 30% coverage.

Highest-priority diagnostic: What keeps PetSafe's coverage at the lowest level in the category, and which prompt types would need to shift for the brand to break out of the 30% range?

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Answers that recommend a specific brand or shortlist of brands

Which brand does AI recommend first, and why?

Pricing & Value

Answers that discuss pricing, cost, or value

What does AI say about a brand's price or value proposition?

Multi-Brand Comparison

Answers that compare two or more brands head-to-head

How does AI frame one brand against another?

In September 2026, all 544 qualified observations fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters were empty. This means the public benchmark can quantify which brands AI recommends and how often, but it cannot yet answer price, value, or head-to-head comparison questions from this month's data. Those commercial questions remain outside the scope of what the qualified observations captured.

Brand Opportunity Summary

Brand

Sep 2026 coverage

Current signal

Highest-priority diagnostic

Halo Collar

61.8%

Category leader; top-three rate up 5.5 points since July 2026

Which prompts still position Halo Collar below rank one despite strong shortlist presence?

Tractive

48.7%

Strongest rank-one rate at 27.9%, but down 8.1 points since July 2026

Which surfaces account for Tractive's eroding rank-one placement?

Fi

47.1%

Rank-one rate up 6.1 points to 14.3%, the category's largest gain

Which prompts drove Fi's rank-one gain, and can it be sustained?

Garmin Ltd.

30.3%

Only significant decliner; down 6.8 points since July 2026

Which question types exclude Garmin from top-three placements?

PetSafe

30.0%

Coverage stable; gap to Garmin narrowed to 0.3 points

What would move PetSafe's coverage beyond the 30% range?

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 capturing the 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 analysis is part of CiteWorks Studio's ongoing AI Industry Market Discovery research. Full methodology, metric definitions, and measurement standards for this benchmark are documented at:

Report-Specific Interpretation Notes

  • September 2026 qualified observations numbered 544, down from 564 in July 2026. Brand-level percentages are calculated within this qualified set, so month-over-month percentage comparisons reflect the qualified denominator.
  • August-to-September was a quiet month: no brand's month-over-month move exceeded the threshold for normal variation. Across the three-month series, Garmin Ltd.'s 6.8-point coverage decline was the only movement that reached significance.
  • Fi's rank-one rate gain of 6.1 points and Tractive's rank-one rate decline of 8.1 points were the largest movements on that metric across the July-to-September series.
  • Movement identifies changes worth investigating. Directional analysis of coverage, placement, and presence does not by itself establish the cause of those changes.

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 are won, which competitor takes the recommendation when a brand loses, what attributes AI associates with each option, and which external sources shape those answers. The public benchmark shows the scoreboard; it does not reveal the plays that produced it.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. For a category where the leader is stable but rank-one placement is shifting, the next competitive move will come from understanding the driver beneath the numbers, not the numbers themselves.

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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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