How AI Search Is Recommending Emotional Support Animal Services: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
13 minutes read

Key Takeaways

  • Pettable led the category in October 2026 with 65.9 percent valid recommendation coverage, well ahead of ESA Doctors at 40.1 percent.
  • CertaPet was the only significant decliner, falling 8.3 points in coverage as its raw mentions and top-three recommendation rate also dropped.
  • US Service Animals and Real ESA Letter posted the largest gains among smaller brands, but both remained below the benchmark’s significance threshold.
  • The qualified benchmark set covered only discovery and consideration queries, so the report does not yet answer pricing or direct comparison questions.

Executive Summary

Pettable remains the clear category leader in October 2026, with valid recommendation coverage of 65.9 percent. ESA Doctors is second at 40.1 percent, and the gap between the two is 25.8 points. No brand changed places at the top of the table this month, and the leadership position was stable across the full baseline-to-current series.

CertaPet is the only brand the benchmark flags as a significant decliner in October 2026, with valid recommendation coverage at 36.1 percent, down 8.3 points from 44.4 percent in September 2026. The benchmark flags this move as significant, and it is the sharpest single-month decline in the tracked set. CertaPet's drop also coincides with a fall in raw mention presence, from 64.6 percent in September 2026 to 52.8 percent in October 2026, and a fall in top-three recommendation rate, from 41.2 percent to 32.5 percent.

Among the smaller-coverage brands, US Service Animals showed the largest upward movement, from 7.1 percent coverage in September 2026 to 11.1 percent in October 2026, an increase of 4.0 points. Real ESA Letter also gained, moving from 8.4 percent to 11.1 percent, up 2.7 points. Both gains sit below the benchmark's significance threshold and the benchmark classifies both brands as stable.

Against the prior month, the category was mixed. Pettable and ESA Doctors held position without significant movement. The category-level change came from CertaPet's decline offset in part by smaller gains among lower-coverage brands. Five of six tracked brands are classified as stable for October 2026. The benchmark records one significant decliner and no significant risers.

Each monthly run begins with 701 prompt-surface observations (445 unique questions) across the benchmark's defined AI/search surface universe. Of those, 683 mentioned a tracked brand or competitor; 553 were relevant and 130 were irrelevant. The public metrics use the 252 observations that survive both qualification stages. In September 2026, the run began with 730 prompt-surface observations (447 unique questions); 708 mentioned a tracked brand or competitor, 600 were relevant and 108 were irrelevant, and public metrics used the 311 qualified observations.

AI recommendation trend

valid recommendation coverage, Sep 2026 to Oct 2026

  • Pettable+2.6%
    Sep 202663.3%
    Oct 202665.9%
  • ESA Doctors+1.8%
    Sep 202638.3%
    Oct 202640.1%
  • CertaPet-8.3% · beyond normal variation
    Sep 202644.4%
    Oct 202636.1%
  • Real ESA Letter+2.7%
    Sep 20268.4%
    Oct 202611.1%
  • US Service Animals+4.0%
    Sep 20267.1%
    Oct 202611.1%
  • Support Pets+1.8%
    Sep 20261.0%
    Oct 20262.8%

Key Findings

Signal

October 2026 finding

Category leader

Pettable, with valid recommendation coverage of 65.9 percent

Gap to next brand

Pettable leads ESA Doctors (40.1 percent) by 25.8 points

Significant decliner

CertaPet, down 8.3 points to 36.1 percent

Strongest upward move with coverage

US Service Animals, up 4.0 points to 11.1 percent

Qualified observation base

252 in October 2026, down from 311 in September 2026

Surface breadth

All six canonical AI surface families recorded qualified observations


AI Response Inconsistency Alerts

Questions This Section Answers

  • What kinds of factual conflicts did AI platforms surface about ESA letter providers this month?
  • Where did platforms disagree about what Pettable's service actually is?
  • Which per-brand claims about pricing, medical doctors, and travel rights remained unresolved?

Six critical and high-severity factual inconsistencies were detected across eight AI platforms in October 2026.

Pettable

AI platforms provided conflicting information about what Pettable's service is. When asked "Is pettable or wellness wag better?", Gemini stated that Pettable is an ESA-letter telehealth platform connecting users with licensed mental health professionals, citing RealESALetter.com, MyServiceAnimal.org, and PetesALetter.com. Perplexity stated that Pettable focuses on pet sitting, walking, and basic pet care, citing Wellness Wag review pages and Trustpilot. This conflict is rated critical, and the two claims describe incompatible business models.

AI platforms also conflicted on whether Pettable uses medical doctors. When asked "Does Pettable use real doctors?", Google AI Mode stated that Pettable connects users with licensed mental health professionals rather than medical doctors, citing Pettable's FAQ and letter-eligibility pages. ChatGPT stated that Pettable has advertised recruiting licensed physicians (MD/DO) for ESA assessments in some states, citing Pettable's contributors page and an Indeed job listing. This conflict is rated high severity.

A second, separate high-severity conflict on the same topic emerged when Gemini stated that Pettable does not use medical doctors such as psychiatrists or general practitioners, citing Pettable blog pages and a CertaPet comparison page. ChatGPT again stated that some providers in Pettable's network are medical doctors, citing the same contributors page. The two claims are incompatible.

CertaPet

AI platforms provided conflicting information about public access and travel rights for CertaPet letters. When asked "What does CertaPet do?", Copilot stated that ESA letters from CertaPet do not grant public access rights and are strictly for housing accommodations, citing CertaPet's homepage, about page, and PetBG. Gemini stated that CertaPet provides documentation aligning with rules allowing trained dogs to accompany handlers, including flying in the aircraft cabin under Department of Transportation guidelines, citing CertaPet's about page and a Military.com feature. This conflict is rated high severity.

AI platforms also conflicted on CertaPet's price tier. When asked "cheapest esa letter", Google AI Overviews listed CertaPet among budget telehealth services in the $59 to $95 range, citing a Reddit thread, Pets52, and Pettable. Google AI Mode listed CertaPet among reputable providers costing between $99 and $149, citing the same Reddit thread and Pets52. The two pricing claims cannot both describe CertaPet's position.

US Service Animals

AI platforms provided conflicting information about the standard package price. When asked "How much does US service animal charge?", ChatGPT stated that standard registration costs $99.99, citing US Service Animals' basic package page. Google AI Overviews stated that the standard ESA/Service Dog package costs $199.99, citing US Service Animals' emotional support animal package page and community threads on Reddit and Quora. This conflict is rated high severity.


Benchmark Context

The benchmark separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Research stage

Sep 2026

Oct 2026

What it represents

Source prompt-surface observations collected

730

701

Total prompt-surface observations gathered before qualification

Unique questions

447

445

Distinct questions asked across the collection

Brand / competitor mentions

708

683

Observations that mentioned a tracked brand or competitor

Relevant prompts

600

553

Observations judged relevant to the category

Irrelevant prompts

108

130

Observations judged irrelevant to the category

Qualified benchmark observations (public denominator)

311

252

Observations that survive both qualification stages

Qualified surface breadth

6

6

Canonical AI surface families with at least one qualified observation

The September 2026 to October 2026 reporting period is the first comparable pair in this series. Both months used the same instrument version and recorded qualified observations across all six canonical AI surface families.

Benchmark-Level Metrics

Metric

Sep 2026

Oct 2026

Change

Qualified observations

311

252

Down 59

Companies tracked

6

6

Flat

Recommendation-shaped answer share

51.1 percent

46.4 percent

Down 4.7 points

Valid recommendation shortlist share

58.5 percent

61.9 percent

Up 3.4 points

Category leader by coverage

Pettable

Pettable

Unchanged

The share of qualified observations that produced a recommendation-shaped answer fell from 51.1 percent in September 2026 to 46.4 percent in October 2026, while the share of qualified observations producing a valid recommendation shortlist rose from 58.5 percent to 61.9 percent. The two measures describe different aspects of the same response set and can move in opposite directions.


AI Recommendation Trend

Questions This Section Answers

  • Who leads the ESA services category by valid recommendation coverage in October 2026?
  • Which brands gained recommendation coverage, and how large were those moves?
  • Which single brand movement crossed the benchmark's significance threshold?

Pettable Holds a Wide Lead; One Significant Decline Separates CertaPet from a Stable Field

Brand

Sep 2026

Oct 2026

Movement

Oct 2026 rank

Pettable

63.3 percent

65.9 percent

Up 2.6 points

1st

ESA Doctors

38.3 percent

40.1 percent

Up 1.8 points

2nd

CertaPet

44.4 percent

36.1 percent

Down 8.3 points

3rd

Real ESA Letter

8.4 percent

11.1 percent

Up 2.7 points

4th

US Service Animals

7.1 percent

11.1 percent

Up 4.0 points

4th

Support Pets

1.0 percent

2.8 percent

Up 1.8 points

6th

One brand moved by more than the benchmark's normal month-to-month variation. CertaPet's 8.3-point decline is the only movement the benchmark classifies as significant in October 2026. The other five brands moved by amounts within ordinary variation, and the category-level result reflects the combination of CertaPet's decline with smaller upward movement among the remaining brands.


What Changed This Month

Questions This Section Answers

  • How far did CertaPet's recommendation coverage fall, and what happened to its mention presence and top-three rate?
  • Why does the presence-to-coverage gap matter commercially for CertaPet?
  • Which prompts or competitors displaced CertaPet in recommendation lists?

CertaPet

CertaPet's valid recommendation coverage fell from 44.4 percent in September 2026 to 36.1 percent in October 2026, a decline of 8.3 points that the benchmark flags as significant — the sharpest move recorded in this series so far. The decline is accompanied by a fall in raw mention presence, from 64.6 percent to 52.8 percent, and a fall in top-three recommendation rate, from 41.2 percent to 32.5 percent (top-three recommendations fell from 128 to 82). Rank-one recommendations were essentially flat, moving from 4.8 percent to 5.2 percent.

Pettable records 65.9 percent valid recommendation coverage in October 2026, while CertaPet stands at 36.1 percent — a gap of 29.8 points that widened this month as CertaPet declined and Pettable held its lead. The more important issue is what that gap means for CertaPet's recommendation position: CertaPet still appears in roughly half of qualified observations (52.8 percent raw presence), but its share of valid recommendations is falling faster than its share of mentions, meaning the brand remains visible in AI answers while losing position in the recommendation list itself. Left unexamined, this presence-to-coverage gap is the single clearest commercial risk in this month's data for CertaPet.

Highest-priority diagnostic: which specific prompts drove the presence-to-coverage gap, and whether a particular competitor or evidence source displaced CertaPet in those answers.

Pettable

Pettable's valid recommendation coverage rose from 63.3 percent in September 2026 to 65.9 percent in October 2026, an increase of 2.6 points that sits below the benchmark's significance threshold. Pettable's raw mention presence rate was unchanged at 93.2 percent across both months.

Top-three recommendation rate was also unchanged, at 57.9 percent in both September 2026 and October 2026. Rank-one recommendations moved from 46.9 percent in September 2026 to 45.6 percent in October 2026, a decline of 1.3 points below the significance threshold.

The distinction worth noting is that Pettable's coverage gain came despite a flat presence rate and a flat top-three rate. The gain reflects a small increase in the share of qualified observations where Pettable held a valid recommendation, not a broadening of where it appears at all.

Highest-priority diagnostic: which prompt classes produced the incremental coverage gain while rank-one recommendations held flat.

ESA Doctors

ESA Doctors' valid recommendation coverage rose from 38.3 percent in September 2026 to 40.1 percent in October 2026, an increase of 1.8 points that sits below the benchmark's significance threshold. Its raw mention presence rate moved slightly down, from 57.2 percent to 56.0 percent.

Top-three recommendation rate rose from 33.4 percent in September 2026 to 34.1 percent in October 2026, and rank-one recommendations rose from 4.2 percent to 5.2 percent. Top-three recommendations were 104 in September 2026 and 86 in October 2026.

The distinction worth noting is that ESA Doctors gained coverage while presence slipped slightly, which means a larger share of the observations where it appeared converted into a valid recommendation.

Highest-priority diagnostic: whether the coverage gain concentrated in the discovery and consideration cluster or was spread across clusters.

Real ESA Letter

Real ESA Letter's valid recommendation coverage rose from 8.4 percent in September 2026 to 11.1 percent in October 2026, an increase of 2.7 points below the significance threshold. Raw mention presence rose from 12.2 percent to 17.1 percent. Valid recommendations were 26 in September 2026 and 28 in October 2026.

Top-three recommendation rate rose from 4.8 percent to 8.7 percent, and rank-one recommendations rose from 1.9 percent to 3.6 percent. The absolute counts remain small, with 15 top-three recommendations in September 2026 and 22 in October 2026.

The distinction worth noting is the small denominator. A 2.7-point coverage move on a base this small represents a handful of observations, and month-to-month movement at this scale is more sensitive to individual prompt results than the category-level percentages.

Highest-priority diagnostic: which small set of prompts accounted for the added valid recommendations at this coverage level.

US Service Animals

US Service Animals' valid recommendation coverage rose from 7.1 percent in September 2026 to 11.1 percent in October 2026, an increase of 4.0 points, the largest upward movement among tracked brands this month and below the benchmark's significance threshold. Raw mention presence rose from 24.4 percent to 28.2 percent.

Top-three recommendation rate rose from 5.5 percent to 9.1 percent, while rank-one recommendations fell from 0.6 percent to 0.0 percent. Valid recommendations were 22 in September 2026 and 28 in October 2026. Top-three recommendations were 17 in September 2026 and 23 in October 2026.

The distinction worth noting is that US Service Animals gained recommendation coverage without holding any rank-one positions in October 2026. The brand is present in shortlists but is not surfacing as the top pick in any qualified observation this month.

Highest-priority diagnostic: whether the absence of rank-one positions is concentrated on specific surfaces or spread across the full surface set.

Support Pets

Support Pets' valid recommendation coverage rose from 1.0 percent in September 2026 to 2.8 percent in October 2026, an increase of 1.8 points below the benchmark's significance threshold. Raw mention presence rose from 3.5 percent to 6.3 percent. Valid recommendations were 3 in September 2026 and 7 in October 2026.

Top-three recommendation rate moved from 0.0 percent to 0.4 percent, representing one top-three placement in October 2026. Rank-one recommendations remained at 0.0 percent in both months.

The distinction worth noting is the scale of the denominator. Seven valid recommendations in October 2026 is a small base, and the percentage movement reflects that small base rather than broad category repositioning.

Highest-priority diagnostic: which specific prompts produced the small number of valid recommendations and whether they cluster on one surface.


Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent clusters produced qualified observations for tracked brands in October 2026?
  • Why can't the benchmark yet answer pricing, value, or head-to-head comparison questions for ESA letter providers?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Questions where users ask which provider to choose or trust

Which brands surface when the user has not named one

Pricing & Value

Questions about cost, fees, and what a letter should cost

Which providers appear when the user leads with budget

Multi-Brand Comparison

Questions that name two or more providers directly

Which brands hold position when they are compared side by side

In October 2026, all six tracked brands recorded qualified observations only in the discovery and consideration cluster. No qualified observations were recorded in the comparison cluster or the pricing and cost cluster for any tracked brand.

This means the public benchmark for October 2026 can describe which providers AI systems surface during early research, but it cannot yet answer the commercial questions that sit behind pricing, value, or direct head-to-head comparison. Buyers asking what a letter should cost, or asking AI to compare two named providers, are not represented in the qualified set this month.


Brand Opportunity Summary

Questions This Section Answers

  • What is each tracked brand's current signal and highest-priority diagnostic for October 2026?
  • Which brands warrant the most attention based on their coverage movement?

Brand

October 2026 coverage

Current signal

Highest-priority diagnostic

Pettable

65.9 percent

Category leader, stable, coverage gain below threshold

Which prompt classes added coverage while rank-one rate held flat

ESA Doctors

40.1 percent

Stable, coverage gain with slight presence slip

Whether gains concentrated in one cluster or were spread

CertaPet

36.1 percent

Significant decliner, presence and coverage both down, 29.8-point gap to category leader

Which prompts drove the presence-to-coverage gap and who displaced it

Real ESA Letter

11.1 percent

Stable, small-base upward move

Which small prompt set produced the added recommendations

US Service Animals

11.1 percent

Stable, largest upward move, no rank-one positions

Whether absence of rank-one surface is isolated or broad

Support Pets

2.8 percent

Stable, small-base upward move

Which prompts produced the small set of valid recommendations

The benchmark identifies where attention is warranted across the category. A company-level analysis is needed to explain why any individual brand's position moved.


Evidence Behind the Benchmark

Questions This Section Answers

  • What does each qualified observation carry, and what can company-level analysis do that the aggregate view cannot?
  • Does a brand appearing in a cited page prove that the citation caused the recommendation outcome?

The aggregate metrics are built from prompt-level observations. Each qualified observation carries the query, the AI surface that produced the response, the recommendation outcome, the position where a brand appeared, sentiment, and citations where the response exposed them.

Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns than the aggregate view allows. The aggregate view shows which brands gained or lost recommendation coverage and where. It does not show which specific evidence sources the AI systems drew on when reaching those conclusions.

Source presence is not automatically treated as proof of causation. A brand appearing in a cited page does not establish that the citation produced the recommendation outcome.


About This Benchmark

This report is part of the LLM Authority Index AI Visibility Market Discovery research program. The program publishes its methodology, metrics, and standards as public reference material.

Report-Specific Interpretation Notes

  • Small-count movement: several brands in this category hold coverage levels based on small absolute counts. Support Pets recorded 7 valid recommendations in October 2026 and Real ESA Letter recorded 28. Percentage movement at these levels is sensitive to individual prompt outcomes.
  • Qualified denominator: the public percentages use the 252 qualified observations in October 2026, not the 701 prompt-surface observations collected. Brand coverage rates describe the qualified set only.
  • Directional analysis: month-over-month movement identifies changes worth investigating. It 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.

The aggregate percentages show which brands gained or lost recommendation coverage in October 2026. The questions that sit beneath those percentages are specific: which high-intent prompts does a brand win, which competitor takes the recommendation when it loses, what attributes do the AI systems associate with each option, and which external sources shape those answers.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy for a single brand.

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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.
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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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