CiteWorks Studio

Ollie AI Market Strategy Report - Pet Food Delivery Services

Mark HuntleyBy Mark HuntleyFounder and CEO
8 minutes read

Key Takeaways

  • Ollie earns recommendation credit in 49.3% of observations and converts appearances into recommendations better than higher-visibility brands like Chewy and Petco.
  • Its strongest platform is Copilot, where Ollie reaches 70.7% recommendation coverage and a 60.9% top-three rate.
  • The main weakness is rank-one placement: Ollie is first in only 3.1% of observations despite consistent top-three visibility.
  • The biggest opportunity is improving source architecture on Google AI Mode, where Ollie is frequently recommended but never placed first.

Answer Capsule

Ollie holds the strongest challenger position in AI-generated recommendations for pet food delivery services, earning valid recommendation credit in 49.3% of observations. The brand appears in 61.2% of AI responses and maintains a positive visibility rate of 55.1%, indicating that AI systems frame Ollie favorably when it appears. Its clearest strength is recommendation conversion, where it outperforms higher-visibility brands like Chewy and Petco. The clearest weakness is rank-one presence, where Ollie earns the first recommendation slot in only 3.1% of observations. The clearest opportunity is converting its strong top-three placement into more frequent first-position recommendations through targeted source architecture work.

Who This Report Is For

This report is for Ollie's marketing, brand, and growth leadership teams evaluating how AI systems recommend the brand in pet food delivery discovery moments.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: Ollie
  • Category / market studied: Pet Food Delivery Services
  • Reporting month: August 2026
  • AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
  • Public high-intent clusters: 1 (Best Pet Food Delivery Services)
  • AI observations analyzed: 521
  • Competitors tracked: 9

Executive Summary

Ollie holds the strongest challenger position in the pet food delivery services category, with recommendation coverage of 49.3% and a top-three rate of 29.8%. The brand appears in 61.2% of AI responses and earns positive framing in 55.1% of observations, with only 6.1% of mentions classified as neutral. This pattern indicates that when AI systems reference Ollie, they typically advance it as a recommended choice rather than merely acknowledging its existence.

The strongest cluster for Ollie is Best Pet Food Delivery Services, the category's primary consideration-stage buying moment. Within this cluster, Ollie achieves 37.2% top-ten coverage and a 29.8% top-three rate, placing it consistently in the upper tier of AI-generated shortlists. The brand's average recommended rank of 2.70 means that when Ollie earns recommendation credit, it typically appears second or third in the list.

The clearest platform signal is Copilot, where Ollie achieves 70.7% recommendation coverage and a 60.9% top-three rate. This platform-level performance demonstrates that Ollie's source ecosystem resonates strongly with Microsoft's AI assistant. The clearest platform gap is rank-one presence, where Ollie earns the first recommendation slot in only 3.1% of observations overall, compared to The Farmer's Dog at 35.5%.

Ollie's net sentiment score of 0.900 approaches The Farmer's Dog's 0.894, confirming that AI systems associate Ollie with quality, freshness, and reliability. The brand's challenge is not framing quality or recommendation eligibility, but rather the frequency with which it is placed first rather than second or third.

What Ollie Is Winning

Ollie's strongest evidence-backed win is recommendation conversion. The brand appears in 61.2% of AI responses and earns valid recommendation credit in 49.3% of observations, meaning AI systems advance Ollie as a recommended choice in the vast majority of cases where it appears. This conversion rate is the strongest among challenger brands and significantly outperforms Chewy, which appears in 52.8% of responses but earns recommendation credit in only 14.8% of observations.

Ollie also wins on framing quality. The brand's positive visibility rate of 55.1% and net sentiment score of 0.900 indicate that AI systems consistently frame Ollie favorably. Neutral mentions account for only 6.1% of Ollie's presence, the lowest among major players, suggesting that AI systems rarely reference the brand without advancing it.

The Copilot platform represents a meaningful recommendation pocket. Ollie achieves 70.7% recommendation coverage and a 60.9% top-three rate on Copilot, outperforming its overall category performance. This platform-level strength suggests that Ollie's source ecosystem is particularly well-aligned with Microsoft's AI assistant.

Where Ollie Has the Clearest AI Visibility Gaps

Ollie's clearest gap is rank-one presence. The brand earns the first recommendation slot in only 3.1% of observations, compared to The Farmer's Dog at 35.5%. This means that while Ollie consistently appears in top-three positions, it is frequently second or third rather than first. The Farmer's Dog's average recommended rank of 1.52 versus Ollie's 2.70 illustrates the distance between the two brands in AI-generated shortlists.

The brand also shows a notable gap on Google AI Mode, where Ollie achieves 48.4% recommendation coverage but earns no rank-one recommendations. This platform-level pattern suggests that Google AI Mode recognizes Ollie as a strong choice but does not advance it to the top position. By contrast, Ollie earns rank-one credit on Copilot, Gemini, and Google AI Overviews, indicating that the gap is platform-specific rather than universal.

Ollie's presence rate of 61.2% trails The Farmer's Dog's 77.9%, meaning the brand appears in fewer AI responses overall. While Ollie converts presence into recommendation credit more effectively than most competitors, the lower raw presence limits its total shortlist capture. Expanding the source footprint that drives AI retrievability could close this gap.

Biggest Opportunity

The clearest opportunity for Ollie is converting strong top-three placement into more frequent rank-one recommendations. The brand already earns recommendation credit in 49.3% of observations and appears in the top three in 29.8% of cases, demonstrating that AI systems trust Ollie's source ecosystem and product positioning. The gap is not eligibility or framing, but rather the frequency with which Ollie is placed first rather than second or third.

This opportunity is most actionable on Google AI Mode, where Ollie achieves 48.4% recommendation coverage but earns no rank-one recommendations. Strengthening the source architecture that influences rank assignment on this platform, including comparison content, review distribution, and official brand claims, could move Ollie from consistent second or third placement to more frequent first-position recommendations.

Prompt Evidence

Copilot / Best Pet Food Delivery Services Prompt: "What is the best place to get pet supplies?" Result: Ollie appears with 70.7% recommendation coverage and a 60.9% top-three rate, its strongest platform performance.

Google AI Mode / Best Pet Food Delivery Services Prompt: "What is the healthiest dog food for a dog?" Result: Ollie earns recommendation credit in 48.4% of observations but receives no rank-one placements, indicating consistent second or third positioning.

ChatGPT / Best Pet Food Delivery Services Prompt: "What is the best dog food for congestive heart failure?" Result: Ollie appears in 60% of responses with 45% recommendation coverage, demonstrating strong conversion in health-specific queries.

Gemini / Best Pet Food Delivery Services Prompt: "What are the top 5 best foods for dogs?" Result: Ollie achieves 51.1% recommendation coverage with a 30% top-three rate, confirming consistent shortlist placement.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Ollie's current recommendation footprint across all six tracked platforms, identifying where the brand wins top-three placement and where it is displaced.

Phase 2: Recommendation Readiness Plan Prioritize the rank-one gap on Google AI Mode and develop a targeted plan to strengthen the source signals that influence first-position recommendations.

Phase 3: Owned Answer Layer Buildout Strengthen Ollie's official content to clearly establish product claims, freshness standards, and subscription value in language AI systems can retrieve and synthesize.

Phase 4: Citation / Authority Layer Development Expand Ollie's presence in comparison articles, review platforms, and community discussions to reinforce the third-party validation that supports rank advancement.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor changes in recommendation coverage, top-three rate, and rank-one rate across platforms to measure progress against The Farmer's Dog.

Why This Matters

Ollie has built strong recommendation credibility in pet food delivery, but the brand is consistently placed second or third rather than first. In AI-generated shortlists, position determines attention. A pet owner asking for the best delivery service receives a ranked list, and the first brand captures the most consideration.

The next move for Ollie is not broader visibility, but targeted correction of the rank-one gap. Strengthening the prompt, page, and citation layers that influence first-position recommendations will convert Ollie's existing trust signals into more frequent top placement. This is a precision problem, not an awareness problem.

Core Metrics

  • Mentions: 319
  • Valid recommendations: 257
  • Top 3 recommendation count: 155
  • Rank #1 recommendation count: 16
  • Average recommended rank: 2.70
  • Positive mentions: 287
  • Neutral mentions: 32
  • Negative mentions: 0
  • Raw mention presence rate: 61.2%
  • Valid recommendation coverage: 49.3%
  • Top 3 recommendation rate: 29.8%
  • Rank #1 recommendation rate: 3.1%
  • Strongest cluster by recommendation behavior: Best Pet Food Delivery Services
  • Strongest platform by recommendation behavior: Copilot

Sentiment Score

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

For Ollie: (287 × 1 + 32 × 0 + 0 × -1) / 319 = 0.900

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.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

36

29

7

0

0.806

Strong recommendation signal

Copilot

34

31

3

0

0.912

Strongest public recommendation signal

Gemini

67

56

11

0

0.836

Present and recommendation-led

Google AI Mode

63

60

3

0

0.952

Strongest positive framing

Google AI Overviews

89

83

6

0

0.933

Strong recommendation signal

Perplexity

30

28

2

0

0.933

Strong recommendation signal

Methodology

  1. Report orientation: This is a benchmark-based analysis of Ollie's AI recommendation visibility in the pet food delivery services category, interpreted by CiteWorks Studio from LLM Authority Index data.
  2. Reporting window: Data extracted August 1, 2026, for the August 2026 reporting month.
  3. Platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
  4. Observation count: 521 relevant observations were analyzed for company metrics.
  5. Competitor universe: Chewy, JustFoodForDogs Vet Support, Nom Nom, Ollie, Open Farm, Petco, PetFlow, Spot and Tango, Sundays for Dogs, and The Farmer's Dog. This universe may not include all brands in the category.
  6. Public clusters used: One high-intent cluster, Best Pet Food Delivery Services (consideration stage). The full report includes comparison and pricing clusters.
  7. Stage 0 role: Raw AI observations were extracted and classified before aggregation into company-level metrics.
  8. Definition of a mention: A mention means the company appeared in an AI-generated response, regardless of whether it was recommended, described neutrally, or referenced in passing.
  9. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns recommendation credit. Visibility is not the same as recommendation credit.
  10. Ranking interpretation: Top-three rate measures how often a brand appears in the first three recommendation positions. Rank-one rate measures how often a brand appears as the first recommendation. Average recommended rank reflects position when valid rank credit is earned.
  11. Limitations: This is a point-in-time benchmark. AI outputs can change based on model updates, source changes, and platform modifications. Monetary metrics from the source data are omitted from this public version. This report is not a full audit or full market census.

See How AI Is Recommending Your Brand

CiteWorks Studio can show where Ollie appears in AI recommendations, where competitors are being recommended instead, which prompts carry the most commercial risk, which sources are shaping AI answers, and what needs to change to improve recommendation-stage visibility. Request an AI Visibility Audit, AI Market Discovery Profile, AI Company Discovery Report, or Citation Architecture Review to map your brand's AI recommendation footprint.

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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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