CiteWorks Studio

Hollywood Feed AI Market Strategy Report - Pet Retail Pet Supplies

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Hollywood Feed had the strongest positive AI framing in the benchmark, with a 0.61 sentiment score and no negative mentions.
  • The main issue is low visibility: the brand appeared in 10.5% of qualified responses and reached just 5.1% valid recommendation coverage.
  • Gemini and Google AI Mode showed the best performance for Hollywood Feed, while ChatGPT and Perplexity surfaced the brand only rarely.
  • Expanding public evidence across store listings, product pages, reviews, and editorial citations is the clearest path to stronger recommendation presence.

Answer Capsule

Hollywood Feed holds the strongest positive framing of any tracked pet retailer in the September 2026 LLM Authority Index benchmark, yet it ranks seventh of seven in valid recommendation coverage at 5.1%. The brand appears in only 10.5% of qualified AI responses, and when it does appear, it converts to a top-three recommendation just 1.9% of the time. This is a visibility gap rather than a perception problem: AI systems that mention Hollywood Feed speak favorably about it, but they rarely surface the brand in the first place. The clearest opportunity is expanding the brand's public evidence layer so AI systems retrieve Hollywood Feed across the discovery prompts where national competitors dominate.

Who This Report Is For

This report is for marketing, digital, and ecommerce leaders at Hollywood Feed who need to understand why a specialty pet retailer with strong brand sentiment is being displaced by national chains in AI-generated shopping recommendations.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: Hollywood Feed
  • Category / market studied: Pet Retail Pet Supplies
  • Reporting month: September 2026
  • AI platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, Google AI Overviews
  • Public high-intent clusters: Best Pet Supplies and Pet Store Discovery (only cluster with qualified observations)
  • AI observations analyzed: 563 qualified observations
  • Competitors tracked: Chewy, PetSmart, Petco, Tractor Supply, Pet Supplies Plus, Petsense

Executive Summary

Hollywood Feed's September 2026 benchmark position reveals a fundamental disconnect between how AI systems frame the brand and how often they recommend it. The brand recorded a net sentiment score of 0.61, the highest of any tracked pet retailer, with 36 positive mentions, 23 neutral mentions, and zero negative mentions across 563 qualified observations. That favorable framing translated into only 29 valid recommendations, a 5.1% valid recommendation coverage rate that places Hollywood Feed seventh among seven tracked brands.

The gap between presence and recommendation power is the core strategic issue. Hollywood Feed appeared in just 59 of 563 qualified observations, a raw mention presence rate of 10.5%. By comparison, Chewy appeared in 83.3% of observations, PetSmart in 94.1%, and Petco in 95.2%. When Hollywood Feed did appear, it was recommended in roughly half of those instances, but the small base of mentions means the brand is simply not part of the AI conversation often enough to accumulate meaningful recommendation coverage.

The strongest platform signal for Hollywood Feed came from Gemini, where the brand reached 8.8% valid recommendation coverage and a 0.86 sentiment score across 14 mentions, and from Google AI Mode, where it achieved 7.7% coverage. The weakest platform signals were ChatGPT and Perplexity, where Hollywood Feed appeared in only 2 observations each, producing negligible recommendation coverage across those surfaces.

The benchmark's qualified observations all fell into the Best Pet Supplies and Pet Store Discovery cluster, which captures direct brand-naming responses to shopping questions. No qualified observations were recorded in pricing, value, or multi-brand comparison clusters, meaning the public benchmark cannot yet measure how Hollywood Feed performs when shoppers explicitly compare retailers or ask about price. Hollywood Feed's coverage rose 0.6 points from 4.5% in July to 5.1% in September, a modest gain that did not close any meaningful distance to the category leaders.

What Hollywood Feed Is Winning

Hollywood Feed's sentiment profile is the clearest evidence-backed win in this benchmark. The brand recorded a net sentiment score of 0.61, the highest of any tracked pet retailer, built on 36 positive mentions, 23 neutral mentions, and zero negative mentions. No other brand in the category achieved a score above 0.42. When AI systems reference Hollywood Feed, they frame it favorably, with no cautionary or negative language detected across any platform.

The brand showed meaningful strength on Gemini, where it achieved an 8.8% valid recommendation coverage rate and a 0.86 sentiment score across 14 mentions. That coverage rate was the brand's highest on any single platform and suggests at least one AI surface is retrieving and recommending Hollywood Feed at a rate meaningfully above its category average. Google AI Mode similarly produced a 7.7% coverage rate, indicating that Google surfaces are the most receptive to the brand in the current benchmark.

Hollywood Feed's baseline-to-current movement was directionally positive. Coverage rose from 4.5% in July to 5.1% in September, a 0.6 point gain that shows improvement rather than decline. The brand also recorded 3 rank-one recommendations and 11 top-three placements out of 563 observations, evidence that when Hollywood Feed is recommended, it can earn high-priority positions.

Where Hollywood Feed Has the Clearest AI Visibility Gaps

The primary gap is presence. Hollywood Feed appeared in only 10.5% of qualified AI observations in September 2026, compared with 83.3% for Chewy, 94.1% for PetSmart, and 95.2% for Petco. The brand is absent from the vast majority of AI responses to pet retail shopping prompts, which means it never reaches the point of being considered for a recommendation.

The recommendation conversion gap is equally pronounced. Chewy converted its presence into a 21.3% valid recommendation coverage rate, while Hollywood Feed converted its smaller presence into just 5.1% coverage. Chewy's rank-one rate of 11.2% was more than 21 times higher than Hollywood Feed's 0.5%, and Chewy's top-three rate of 14.6% was roughly eight times higher than Hollywood Feed's 1.9%. Even Pet Supplies Plus, the closest smaller competitor in the tracked set, held 10.0% valid recommendation coverage, nearly double Hollywood Feed's rate.

Platform-level gaps are stark. On ChatGPT, Hollywood Feed appeared in just 2 of 61 observations, producing a single valid recommendation. On Perplexity, the brand appeared in 2 of 68 observations with one valid recommendation. These surfaces collectively represent a substantial share of AI-assisted shopping discovery, and Hollywood Feed is effectively invisible on both.

The comparison to Chewy is the most instructive single data point. Chewy's average recommended rank was 1.57, meaning when Chewy was recommended, it typically appeared first or second. Hollywood Feed's average recommended rank was 3.67, meaning even when the brand was recommended, it appeared lower in the list. Low presence, low coverage, and a weaker average rank create a compounding disadvantage that favorable sentiment alone cannot offset.

Biggest Opportunity

Hollywood Feed's clearest opportunity is converting its strong positive framing into a broader recommendation footprint by expanding the brand's presence in the discovery prompts where national competitors dominate. The benchmark shows that AI systems which mention Hollywood Feed speak favorably about it, with zero negative mentions across all platforms. The problem is that the brand is not being retrieved often enough to matter.

The path forward is to build the public evidence layer that AI systems draw upon when answering shopping questions. This means ensuring Hollywood Feed's store locations, product assortment, specialty services, and brand differentiators are documented across the types of sources AI systems cite: retailer directories, local business listings, product review sites, and authoritative editorial content. If Hollywood Feed can raise its presence rate from 10.5% toward the 35% level that Pet Supplies Plus achieves, the brand's favorable sentiment profile suggests recommendation coverage would rise proportionally.

Prompt Evidence

Gemini / Best Pet Supplies and Pet Store Discovery Prompt: "Which pet company is the best?" Result: Hollywood Feed was mentioned favorably but did not receive a top-three recommendation placement.

Google AI Mode / Best Pet Supplies and Pet Store Discovery Prompt: "What is the best place to get pet supplies?" Result: Hollywood Feed appeared in the response with positive framing and received a valid recommendation, though not in the first position.

ChatGPT / Best Pet Supplies and Pet Store Discovery Prompt: "Where can I find an animal store in Wichita, KS?" Result: Hollywood Feed was not surfaced in the response; national retailers were named instead.

Perplexity / Best Pet Supplies and Pet Store Discovery Prompt: "What is the largest pet retailer in the US?" Result: Hollywood Feed was absent from the response, which focused on national chains by scale.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts, surfaces, and competitor responses where Hollywood Feed is absent, identifying the highest-opportunity query families by commercial intent.

Phase 2: Recommendation Readiness Plan Define the product categories, store markets, and service differentiators where Hollywood Feed can realistically earn recommendation slots, prioritizing prompts where the brand already receives favorable mentions.

Phase 3: Owned Answer Layer Buildout Develop Hollywood Feed's owned content to answer the specific shopping questions where the brand should be recommended, covering store locator pages, category guides, and service descriptions.

Phase 4: Citation and Authority Layer Development Build the third-party citation footprint that AI systems can retrieve, focusing on local directories, retailer roundups, and editorial content that positions Hollywood Feed as a recommended specialty option.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Hollywood Feed's presence rate, valid recommendation coverage, top-three rate, and rank-one rate monthly across all six AI surfaces to measure whether evidence layer improvements are converting into recommendation share.

Why This Matters

AI-generated recommendations are becoming the first filter in pet supply purchasing decisions. When a shopper asks an AI assistant where to buy premium pet food or find a self-serve dog wash, the brands named in that response gain an advantage that traditional search visibility cannot replicate. Hollywood Feed's positive sentiment is valuable, but it only matters if the brand is present in the response at all.

The benchmark evidence suggests Hollywood Feed's issue is not how it is perceived but whether it is retrieved. The brand's favorable framing, zero negative mentions, and positive platform signals on Gemini and Google AI Mode indicate that the underlying brand story resonates with AI systems. The next move is to make that story findable across the prompt, page, and citation layers that AI systems rely on when forming recommendations.

Core Metrics

  • Mentions: 59
  • Valid recommendations: 29
  • Top 3 recommendation count: 11
  • Rank 1 recommendation count: 3
  • Average recommended rank: 3.67
  • Positive mentions: 36
  • Neutral mentions: 23
  • Negative mentions: 0
  • Raw mention presence rate: 10.5%
  • Valid recommendation coverage: 5.1%
  • Top 3 recommendation rate: 1.9%
  • Rank 1 recommendation rate: 0.5%
  • Strongest cluster by recommendation behavior: Best Pet Supplies and Pet Store Discovery
  • Strongest platform by recommendation behavior: Gemini (8.8% coverage) and Google AI Mode (7.7% coverage)

Sentiment Score

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

For Hollywood Feed: (36 x 1 + 23 x 0 + 0 x -1) / 59 = 0.61

This score measures framing quality across AI responses, not customer sentiment. It matters because unclassified mention counts are misleading: a positive recommendation, a neutral reference, and a cautionary mention are not equal signals. Share of voice is a diagnostic metric, not a business outcome. Counting all mentions as wins would hide the fact that Hollywood Feed appears in only 10.5% of qualified observations. Classified sentiment is required before interpreting AI visibility, because a brand can carry excellent framing and still lose the recommendation battle if it is rarely surfaced.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Gemini

14

12

2

0

0.86

Strongest public recommendation signal

Google AI Mode

20

12

8

0

0.60

Present with positive framing

Google AI Overviews

16

7

9

0

0.44

Present as context, not recommendation

Copilot

5

3

2

0

0.60

Positive, but sample too small

ChatGPT

2

1

1

0

0.50

Positive, but sample too small

Perplexity

2

1

1

0

0.50

Positive, but sample too small

Methodology

  1. Report orientation: This is a benchmark-based analysis of Hollywood Feed's AI recommendation visibility in the Pet Retail Pet Supplies vertical, drawn from the LLM Authority Index AI Market Discovery Index. It is not a client implementation case study.
  2. Reporting window: Data reflects September 2026 measurements, with July 2026 baseline comparisons where available.
  3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
  4. Observation count: 563 qualified observations formed the public denominator for all brand-level metrics.
  5. Competitor universe: Seven brands were tracked: Chewy, PetSmart, Petco, Tractor Supply, Pet Supplies Plus, Hollywood Feed, and Petsense.
  6. Public clusters used: All qualified observations fell into the Best Pet Supplies and Pet Store Discovery cluster. No qualified observations were recorded in pricing, value, or multi-brand comparison clusters.
  7. Stage 0 role: Raw prompt-surface observations were collected and qualified before brand-level metrics were calculated. The public benchmark uses the qualified set, not the raw collection.
  8. Definition of a mention: A brand mention is any appearance of the brand name in an AI response, regardless of whether the brand is recommended.
  9. Definition of a valid recommendation: A valid recommendation requires the brand to appear in a recommendation shortlist within the AI response, not merely be referenced or listed as context.
  10. Limitations: Hollywood Feed operates on small absolute counts (59 mentions and 29 valid recommendations in September). Percentage movements carry limited weight individually and should be read alongside the raw counts. The public benchmark does not measure market share, attributable sales, organic search rankings, or social media volume. Month-over-month movement identifies changes worth investigating but does not establish causation.
  11. Ranking interpretation: Top-three rate measures the share of qualified observations where the brand appears in the first three recommended positions. Rank-one rate measures the share where the brand is the single first recommendation. Average recommended rank reflects the brand's mean position when it receives valid rank credit.
  12. Dataset note: The public benchmark's qualified observations all fell into the Brand Recommendation buyer-intent class. Pricing and comparison conversations were not measurable in the current qualified set.

Get Your AI Visibility Audit

The public benchmark shows where Hollywood Feed stands against national competitors in aggregate, but it cannot identify the specific prompts, sources, or competitor responses driving those results. A company-level AI visibility audit maps Hollywood Feed's recommendation footprint across individual surfaces, query types, and competitor comparisons, revealing the detail beneath the aggregate percentages.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT