A Pup Above Appears in 21.0% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • A Pup Above appears in about one in five benchmark AI answers and is recommended nearly as often as it is mentioned.
  • The main gap is placement: the brand shows up, but it is less often ranked in the top three or first position.
  • November 2026 shows a sharp increase in mentions and recommendations versus earlier monthly samples, though the samples are not directly comparable.
  • The plan focuses on baseline measurement, fact checks, third-party page review, priority page briefs, and content built around common buyer questions.

Answer Capsule

In November 2026, A Pup Above appeared in 105 of 501 AI answers included in the Fresh Dog Food and Pet Meal Delivery benchmark (20.96%). It received 97 recommendations (19.36%), with 37 Top 3 placements and 3 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 A Pup Above mentions, recommendations and placements compare with its Fresh Dog Food and Pet Meal Delivery peers?

A Pup Above recorded 105 mentions (20.96%) and 97 recommendations (19.36%) across 501 answers included in the benchmark. Top 3 placements numbered 37; first-place recommendations numbered 3. Framing among its mentions was 100 positive, 5 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%

A Pup Above is mentioned in roughly one in five answers and is recommended almost as often as it is mentioned, so the brand is being surfaced with positive wording rather than merely listed. That reach is the strongest part of its position.

Placement is the weaker part. Most recommendations do not put the brand in the leading group, and first-place finishes are rare. Reach, endorsement and position are separate measures here, and the gap between them is where the opportunity sits.

For the agency, this argues for work aimed at how the brand is positioned within answers, not just whether it appears. Proposed work would examine the answers where the brand is recommended but not placed highly and build briefs around the qualities those answers reward.

What changed since last month

Questions This Section Answers

  • How did A Pup Above counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Oct 2026

Nov 2026

Mentions

41 / 502 (8.17%)

31 / 505 (6.14%)

40 / 510 (7.84%)

105 / 501 (20.96%)

Recommendations

27 / 502 (5.38%)

25 / 505 (4.95%)

37 / 510 (7.25%)

97 / 501 (19.36%)

Top 3 recommendations

3 / 502 (0.60%)

9 / 505 (1.78%)

15 / 510 (2.94%)

37 / 501 (7.39%)

#1 recommendations

1 / 502 (0.20%)

2 / 505 (0.40%)

2 / 510 (0.39%)

3 / 501 (0.60%)

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

From October 2026 to November 2026, A Pup Above's mention count rose from 40 to 105, while its recommendation count rose from 37 to 97. The recommendation rate was 7.25% and 19.36% respectively.

The November sample shows a clear jump in both mentions and recommendations compared with October, and the top-three count moved up alongside them. First-place finishes stayed close to where they were.

The monthly samples are separate selections, so the size of the movement should be read with that in mind. A different answer total does not explain why counts or rates changed, and the record does not identify a cause.

What the agency can do is treat November as a new baseline and watch whether the pattern holds across future samples before drawing conclusions or crediting any work.

AI recommendation trend

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

0%5%10%15%20%Jul 2026Aug 2026Oct 2026Nov 20265.38%Jul 2026: 5.38%4.95%Aug 2026: 4.95%7.25%Oct 2026: 7.25%19.36%Nov 2026: 19.36%
  • A Pup Above19.36%

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

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for A Pup Above?

AI answers contained 0 conflicting claims about A Pup Above: 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 A Pup Above were recorded in the captured answers, so there is no fact-check queue to clear at this stage. That is a clean starting position rather than proof that every statement about the brand is accurate.

A visibility comparison would show where the brand stands against the leading competitors on reach and placement, giving the client a way to set priorities. A standing list of claims to verify would keep that position from resting on unchecked statements.

Proposed work is a baseline scorecard and a scoped fact-review register, each entry with an owner and a review status.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about A Pup Above 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 and no page briefs to write from this evidence. The absence of findings is not a finding of consistency.

The agency would first confirm how the brand is identified in answers, since name variants and product lines can split or merge its presence. Only after that would any page brief be drafted, and only against verified company facts.

Proposed work is an entity check and a short register of statements worth confirming, with corrections considered only where a primary source supports them.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for A Pup Above?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://apupabove.com/blogs/all/fresh-dog-food-brands-compared

4

2

0

https://apupabove.com/blogs/all/best-fresh-dog-food

1

1

0

https://apupabove.com/products/fresh-dog-food?_gsid=8f9FwHSeiYtY&variant=49172240662680

1

1

0

https://tomlinsons.com/products/a-pup-above-chicken-puppy-frozen-dog-food

1

1

0

https://businessinsider.com/guides/pets/best-fresh-dog-food

172

36

0

https://forbes.com/sites/forbes-personal-shopper/article/best-fresh-dog-food/

152

29

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 split into the company's own blog and product pages, a retailer listing, and two large buying guides that appear far more often in captured answers. The guides are where the brand is most likely to be encountered, so they deserve the closest review.

Citation does not show that a page shaped an answer, and none of these pages is linked to a conflicting claim. Current contents still need checking before any request is made.

Proposed work is a page-by-page review of the guides and the retailer listing, followed by evidence-backed requests only where a gap is confirmed.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed A Pup Above 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 company pages were recorded as cited in the captured answers, so there is no owned-page citation pattern to interpret. That does not mean the site is absent from every answer, only that this analysis did not capture it.

Page briefs would still be useful, built from approved company facts and the questions buyers actually ask. Each brief would state the audience question, the facts the page may use, and the reviewer who signs off.

Proposed work is a small set of priority page briefs drawn from the supplied page list, with existing coverage checked before anything new is proposed.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for A Pup Above?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What is the best gently cooked dog food?

5

3

3

What dog foods have a 5 star rating?

2

2

2

What is the best cooked food for dogs?

2

2

2

What is the best fresh cooked dog food?

6

2

2

What is the best fresh food delivery for dogs?

3

2

2

What is the best fresh food for dogs?

6

2

2

What is the best rated fresh dog food?

6

2

2

What is the healthiest fresh dog food?

6

2

2

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

The recorded questions cluster around gently cooked, fresh and highly rated dog food, and the brand appears in answers to several of them. These are answer observations, not search volume or proof that the website lacks matching content.

Content briefs would take each question in turn, check what the site already says, and only then propose new or revised material. The briefs would use approved facts and avoid claims the company cannot support.

Proposed work is a buyer-question content set covering the cooked and fresh themes, with a coverage check completed first.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed A Pup Above 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 scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. Nothing is corrected in this period.

The second month produces approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard.

Delivered work will be reported separately from measured answer outcomes. The plan does not promise visibility gains, and future samples will be compared with the same limits noted here.

Methodology

Questions This Section Answers

  • How are A Pup Above 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 answers were captured for the reporting month, but the exact collection dates are unverified, and the monthly samples differ. Comparisons describe how recorded results moved, not why.

A company counts as recommended only when an answer endorses it with positive wording. Top-three and first-place counts sit inside recommendations rather than adding to them, and answers can cover several companies, so counts cannot be summed into distinct answers.

Cited pages and any disputed claims still need independent checking before action.

Our first three priorities

First, confirm how the brand is identified in answers and build the baseline scorecard, so later comparisons rest on a stable definition. This is the foundation for everything else and needs no correction work.

Second, review the two large buying guides and the retailer listing against current contents, then prepare evidence-backed requests only where a real gap is confirmed. The company's own pages come next, with briefs built from approved facts.

Third, draft buyer-question content around the cooked and fresh themes, checking existing coverage first. These are proposed work items, not measured outcomes.

/ 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.

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