JustFoodForDogs Appears in 83.2% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • JustFoodForDogs appears in most benchmark answers and is recommended often, but The Farmer’s Dog still leads in first-place placements.
  • Mentions and recommendations stayed fairly stable across verified months, while top-three and first-place rankings moved more noticeably.
  • No conflicting claims were recorded in the captured answers, so the first step is to verify brand facts against current company sources.
  • The strongest content opportunities center on buyer questions about the best, healthiest, and highest-rated fresh dog food.

Answer Capsule

In November 2026, JustFoodForDogs appeared in 417 of 501 AI answers included in the Fresh Dog Food and Pet Meal Delivery benchmark (83.23%). It received 385 recommendations (76.85%), with 317 Top 3 placements and 94 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do JustFoodForDogs mentions, recommendations and placements compare with its Fresh Dog Food and Pet Meal Delivery peers?

JustFoodForDogs recorded 417 mentions (83.23%) and 385 recommendations (76.85%) across 501 answers included in the benchmark. Top 3 placements numbered 317; first-place recommendations numbered 94. Framing among its mentions was 390 positive, 27 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

The Farmer’s Dog

462

92.22%

416

83.03%

382

76.25%

273

54.49%

2

JustFoodForDogs

417

83.23%

385

76.85%

317

63.27%

94

18.76%

3

Freshpet

278

55.49%

250

49.90%

94

18.76%

25

4.99%

4

Nom Nom

216

43.11%

176

35.13%

69

13.77%

3

0.60%

5

PetPlate

159

31.74%

133

26.55%

34

6.79%

2

0.40%

6

A Pup Above

105

20.96%

97

19.36%

37

7.39%

3

0.60%

7

Sundays for Dogs

63

12.57%

47

9.38%

15

2.99%

2

0.40%

8

Maev

19

3.79%

14

2.79%

2

0.40%

0

0.00%

JustFoodForDogs sits near the top of this category in AI answers, with strong mention and recommendation rates and a large share of top-three placements. That is a solid position to defend rather than a problem to fix. The gap to the leader is real but narrow, and most of it shows up in first-place answers rather than in whether the brand appears at all.

The framing of its mentions is almost entirely positive, with no negative wording recorded. That suggests the brand is described favorably when it comes up, so the opportunity is less about repairing reputation and more about earning the strongest endorsement in answers where it already appears. We would treat first-place share as the main competitive measure to watch.

Because the benchmark counts mentions and recommendations separately, we would not read the recommendation rate as a conversion figure. It describes how often answers endorsed the brand, not how often buyers acted. Our first step is a scorecard that tracks these measures side by side so the client can see where the brand is present but not preferred.

What changed since last month

Questions This Section Answers

  • How did JustFoodForDogs counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Oct 2026

Nov 2026

Mentions

429 / 502 (85.46%)

431 / 505 (85.35%)

424 / 510 (83.14%)

417 / 501 (83.23%)

Recommendations

359 / 502 (71.51%)

344 / 505 (68.12%)

393 / 510 (77.06%)

385 / 501 (76.85%)

Top 3 recommendations

229 / 502 (45.62%)

246 / 505 (48.71%)

344 / 510 (67.45%)

317 / 501 (63.27%)

#1 recommendations

91 / 502 (18.13%)

113 / 505 (22.38%)

105 / 510 (20.59%)

94 / 501 (18.76%)

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

From October 2026 to November 2026, JustFoodForDogs' mention count fell from 424 to 417, while its recommendation count fell from 393 to 385. The recommendation rate was 77.06% and 76.85% respectively.

Across the verified months, mentions and recommendations moved within a fairly narrow band, while top-three placements rose sharply between August and October and then eased in November. First-place counts also moved around without a clear direction. The November sample is a separate selection of answers, so the month-to-month differences should be read as observed movement, not as a trend with a known cause.

The practical implication is that the brand's presence in answers looks stable, but its standing within those answers is more variable. We would avoid drawing conclusions from any single month and instead compare the scorecard over several reporting periods. Where a measure moves, the client should ask what changed in the answers themselves before assuming anything about the market or the website.

September has no reliable results, so the record has a gap rather than a zero. Any narrative about a turning point should account for that missing month.

AI recommendation trend

Observed recommendation rate (%), Jul 2026 to Nov 2026

0%20%40%60%80%Jul 2026Aug 2026Oct 2026Nov 202671.51%Jul 2026: 71.51%68.12%Aug 2026: 68.12%77.06%Oct 2026: 77.06%76.85%Nov 2026: 76.85%
  • JustFoodForDogs76.85%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

/ 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.

Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for JustFoodForDogs?

AI answers contained 0 conflicting claims about JustFoodForDogs: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No conflicting claims about JustFoodForDogs were recorded in the captured answers, which means the fact-checking workload starts light. That is useful news, but it does not mean the brand's claims are confirmed. It means the answers did not surface a dispute worth prioritizing.

We would still build a scoped fact-review list so the client has a clear record of which brand claims appear in AI answers and which need primary-source confirmation. Each item would carry an owner, the evidence required and a review status. This gives the client a defensible basis for deciding whether any correction is warranted, rather than reacting to a single answer.

A visibility comparison against the leading competitor would sit alongside that list, so the client can see which claims and placements matter most commercially.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about JustFoodForDogs should be verified before proposed page edits?

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

This part of the analysis returned no results, so there are no disputed topics to work through yet. We would not invent page changes to fill the gap. Instead, the first task is to establish which brand facts appear in answers and confirm them against current company sources.

Where an apparent conflict does emerge, the entity, date and source need resolving before anyone decides whether a correction is warranted. Different dates can explain an apparent conflict, and an AI answer is not itself proof of an error. Page briefs would therefore be drafted conditionally, marked as pending verification, and only actioned once the facts are confirmed.

This keeps the website work grounded in approved information rather than in claims repeated by AI services.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for JustFoodForDogs?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://justfoodfordogs.com/

96

92

0

https://webvet.com/farmers-dog-vs-ollie-vs-freshpet-vs-justfoodfordogs/

34

13

0

https://thecustomerdigest.com/post/freshpet-vs-ollie-vs-justfoodfordogs-vs-the-farmers-dog-we-tested-fresh-dog-food-subscriptions-and-found-a-clear-winner

37

9

0

https://justfoodfordogs.com/blogs/justfoodfordogs-blog/the-5-best-human-grade-dog-food-brands-in-2026

6

6

0

https://justfoodfordogs.com/collections/daily-diets

5

5

0

https://blog.justfoodfordogs.com/ollie-vs-just-food-for-dogs.html

4

4

0

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

The cited pages selected for review are a mix of the company's own site, a comparison article and a blog post. Citation counts show how often these pages appeared in captured answers, not whether they shaped what the answers said. A citation does not establish influence, and a page linked to a claim is not necessarily its cause.

We would review the current contents of each selected page before making any request, starting with the pages most often cited alongside the company. Where a page is accurate and current, no action is needed. Where a request is justified, it would be evidence-backed and framed as a request, since the agency does not control publisher content.

The company's own pages on the list are a separate track, handled through the website work rather than through publisher outreach.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed JustFoodForDogs website pages should receive review briefs?

No results are available for this part of the analysis.

The company's website was cited 0 times across 0 distinct page addresses; the table shows 0 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

No page-level citation results were available for this part of the analysis, so the page list is effectively empty for now. We would not treat that as evidence that the site is uncited or that pages are missing. It means the observation was not recorded in this run.

Once the page list is established, briefs would be built around approved facts and the questions buyers actually ask. Each brief would name the audience question it serves, the confirmed facts it may use and the reviewer who signs it off. Existing coverage would be checked before proposing any new page, so the client does not duplicate content it already has.

A cited page is not automatically a page that accompanied a recommendation, so page work and recommendation work would be tracked separately.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for JustFoodForDogs?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What is the best fresh cooked dog food?

6

6

6

What is the best fresh dog food company?

6

6

6

What is the best fresh dog food to get?

6

6

6

What is the best fresh dog food?

6

6

6

What is the best fresh food for dogs?

6

6

6

What is the best rated fresh dog food?

6

6

6

What is the healthiest fresh dog food?

6

6

6

What is the highest rated fresh dog food?

6

6

6

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions are all variations on the same buyer intent: which fresh dog food is best, healthiest or highest rated. JustFoodForDogs was mentioned and recommended in every benchmark answer to these questions, which suggests the brand is already part of the consideration set for this intent. The opportunity is to strengthen how it is described, not to introduce it.

We would turn these observations into content briefs that answer the underlying buyer questions directly, using approved facts and clear comparisons. Before drafting, we would check whether the site already covers each question well. These are recorded answer observations, not search volume or proof of missing content, so the briefs would be prioritized by relevance to the brand rather than by assumed demand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed JustFoodForDogs work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline: a scorecard, a scoped fact-review list and a shortlist of pages and sources. Each record needs an owner, an evidence requirement and a review status, so later decisions rest on confirmed information rather than on AI claims.

The second month produces approved page briefs and any justified publisher requests. Confirmed edits, no-change decisions, requests and responses would be recorded separately, so the client can see what was done and what was declined. The third month adds buyer-question content briefs and a fresh scorecard.

Completed work would be reported separately from measured answer outcomes. The plan sets up the conditions for improvement; it does not promise a particular change in visibility.

Methodology

Questions This Section Answers

  • How are JustFoodForDogs answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 501 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5611 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Jul 2026

502

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Aug 2026

505

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

510

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

501

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Reliable results for September 2026 are unavailable. This is a gap in the history, not a result of zero.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The visibility figures come from answers that met the benchmark's inclusion rules, and the exact collection dates have not been verified. An answer can mention or recommend several companies, so company counts cannot be added to find distinct answers. Top-three and first-place counts sit inside recommendations rather than adding to them.

The wider citation analysis covers more answers than the benchmark, so citation appearances are not the same as benchmark answers citing a page. Monthly samples differ, and the comparisons show how recorded results changed, not why. September has no reliable results, which is a gap rather than a zero.

Our first three priorities

The first priority is to confirm the brand facts that appear in AI answers against current company sources, so any later page or publisher work rests on verified information. The fact-review list should stay small and owned, with clear evidence requirements.

The second is to review the most-cited pages for accuracy and decide, page by page, whether a request or an edit is justified. The third is to brief content around the best, healthiest and highest-rated fresh dog food questions, checking existing coverage first.

Together these protect a strong position in the category while closing the gap in first-place answers. Progress would be judged on completed, verified work and on the scorecard over time, not on a single month's movement.

/ 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.

Archived editions

Browse earlier published research snapshots for this article. The latest edition remains at the current URL.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT