AI Visibility Benchmarks for Veterinary Clinics in 2026: What the Public Evidence Actually Shows

Across the published 2025-2026 research relevant to veterinary AI visibility — Yext (healthcare-aggregate), Conductor (Health Care GICS), BrightLocal, SOCi, and operator-side audits — veterinary has the thinnest published evidence base of any local-services vertical, and the per-vet-clinic data agencies actually need has not yet been published anywhere.

This article is an honest catalogue of what the public evidence says about veterinary AI visibility, what it doesn't say, and what an agency building veterinary AEO services should do with the gap. It is not primary research — no published study has measured per-clinic AI citation rates at any sample size, and pretending otherwise would do agency readers a disservice. Among the eleven local-services verticals catalogued in the available citation-dominance research, veterinary is one of three (alongside fitness and general contractors) for which no published per-domain citation study exists.

If you want the executive summary: veterinary citation patterns can only be inferred from healthcare-adjacent evidence (Yext's 52.6% listings dominance; Conductor's Health Care GICS data; BrightLocal's qualitative vet-search coverage); the consistently relevant directories are AAHA, AVMA, VCA Hospitals, BluePearl, PetMD, Vetstreet, Yelp, Google Business Profile, plus city-magazine "best vets" lists; operator-side audits from ASTASH and AdsX align with healthcare-pattern findings; and the gap between "what the public record proves" and "what an agency needs to know about its own vet-clinic portfolio" is exactly why agencies are running their own per-portfolio measurement — and why for veterinary specifically, agency-side measurement is materially more important than for verticals where some primary research exists.

1. What the published 2025-2026 evidence actually shows

Veterinary's published evidence base is the thinnest of any local-services vertical.

Yext Research — AI Citations, User Locations & Query Context — published October 9, 2025; 6.8 million citations across 1.6 million queries on ChatGPT, Gemini, and Perplexity, July–August 2025. Yext's healthcare subset lumps veterinary with medical and dental:

• Healthcare AI citations: 52.6% from listings — the highest of any industry studied; 28.7% from first-party websites; 13.3% from reviews/social.
• Named dominant healthcare directories: WebMD, Vitals, Zocdoc — none veterinary-specific.

Conductor 2026 AEO/GEO Benchmarks Report — Health Care — released November 13, 2025; 21.9M Google searches, May–October 2025. Conductor's Health Care GICS bucket lumps veterinary with medical:

• Health Care AI referral traffic share: 0.63% of total sessions.
• Health Care AI Overview trigger rate: 48.75% — highest of any GICS industry.
• Top citation slots: Mayo Clinic 6.58%, Healthline 5.76%, Cleveland Clinic 4.90% — all human-medical, not veterinary-relevant.

The Health Care segment is enterprise-hospital-system dominated and does not isolate veterinary; this is best read as an upper-bound signal for the AI surface relevant to vet, not a direct measurement.

BrightLocal — Uncovering ChatGPT Search Sources (December 12, 2024; 800 manual searches, 20 verticals, 20 cities) and AI Search Listings Sources Study (July 22, 2025; 20 searches × 10 industries × 4 LLMs):

• BrightLocal's July 2025 study included a vet-specific search ("Does Odd Pet Vet offer 24-hour emergency service?") as one of 200 searches across 20 industries × 4 LLMs.
• Yelp appeared in ~33% of all local AI searches.
• Wikipedia was the #1 mention source in ChatGPT (39% of "mention" sources).
• Three Best Rated and Expertise are the two most-cited generic directories in ChatGPT (24% and 18% of all directory sources).

Operator-side audits (label as operator-side, not primary research):

• ASTASH, AdsX, BrightLocal Jul 2025 vet-specific signals: identify a similar set of citation sources as for general healthcare, but with a smaller specialty-directory layer. Yelp consistently identified as a top vet trust signal.
• Vetcelerator vendor blog: reports a +1,278% increase in ChatGPT-referred users across its clinic network from January 2025 to January 2026, with the share of accounts receiving any ChatGPT-attributed traffic growing from 22% to 73%. Methodology, sample size, and definitions are not disclosed in the public post; treat as anecdotal/directional only.

SALT.agency / Dan Taylor "Key Event Conversion Rate" study — Q1 2025 (January 1 – March 31); 671,694 LLM referral sessions across 40 sectors. Health KECVR: 13.24% LLM vs 12.88% organic. Health bucket is sector-aggregate; veterinary is not separately broken out.

SOCi 2026 Local Visibility Index — published February 17, 2026; 350,000+ locations, 2,751 multi-location brands. Cross-vertical findings: AI is 3-30x more selective than traditional local search; only 1.2% of locations recommended by ChatGPT, 11% by Gemini, 7.4% by Perplexity, vs 35.9% in Google's local 3-pack. AI heavily favors locations with ≥4.3-star ratings, ≥5% review response rate, consistent NAP across Google Maps, Yelp, Facebook, brand websites.

Goodie AI — Most-Cited Domains Study — released March 2026; 58.6M citations across 31 industries. Veterinary is not among the 31 industries individually broken out.

Citation-dominance research synthesis (April 30, 2026) explicitly notes: "No published study covers veterinary, fitness, or general contractors with statistical rigor on a per-domain basis as of April 30, 2026."

2. Where the public record is incomplete — the honest gap

For veterinary, the honest gap is larger than for any other vertical the OpenLens corpus covers.

No published primary study has measured per-vet-clinic AI citation rates at any sample size. Yext's 6.8M-citation healthcare subset lumps veterinary with medical and dental; Conductor's Health Care GICS data is enterprise-hospital-system dominated and does not isolate veterinary; BrightLocal's coverage includes a single vet-specific search out of 800 searches across 20 verticals; Vetcelerator's anecdotal +1,278% YoY ChatGPT-referral figure has no disclosed methodology; SALT.agency's Health KECVR is sector-aggregate; Goodie AI's 31-industry breakdown does not include veterinary; SOCi's 2026 LVI is cross-vertical multi-location-brand-weighted, not vet-specific.

Additionally: the per-segment dimension (small-animal vs mixed-practice vs equine vs exotic vs emergency vs specialty referral) and the corporate-versus-independent dimension (VCA, NVA, BluePearl, Thrive vs single-doctor-owned) multiply the surface area; no published study quantifies citation differences by these dimensions. The AAHA-accreditation effect on AI citation has not been measured. The Fear Free certification effect has not been measured.

Until those gaps close, the patterns below are inferred from cross-vertical and healthcare-adjacent evidence, not measured for veterinary specifically. Agencies relying on them should label them as adjacent evidence, not as per-vet-clinic measurement.

3. Pattern-level findings that hold across the available evidence (with adjacency labels)

Five patterns are consistent with the published 2025-2026 evidence base, each labeled with its adjacency to veterinary specifically.

Pattern 1 — Directory presence likely dominates veterinary AI citations (healthcare-adjacent)

Per Yext (October 2025), 52.6% of healthcare AI citations come from listings — the highest share of any industry. Per BrightLocal (July 2025), healthcare-adjacent prompts return high directory dominance. Per the citation-dominance research synthesis, the consistently relevant veterinary-directory set (synthesized from Yext, BrightLocal, ASTASH, AdsX) includes Google Business Profile / Maps, Yelp, AAHA.org, VCA Hospitals, BluePearl, AVMA, PetMD, Wikipedia, Reddit (r/AskVet, r/Veterinary), Vetstreet/Chewy community pages, and local "best vets" lists (Best of [City] city-magazine features). The reading: directory completeness is almost certainly the price of entry for vet AI visibility — the magnitude is not measured but the structural pattern from healthcare is consistent.

Pattern 2 — Yelp shows up everywhere; Wikipedia and Three Best Rated are recurring third-party amplifiers (cross-vertical)

Per BrightLocal (December 2024), Yelp appeared in ~33% of all local AI searches and was cited in every industry tested by Perplexity. Wikipedia was the #1 mention source in ChatGPT (39% of all "mention" sources). Three Best Rated and Expertise are the two most-cited generic directories (24% and 18% of all directory sources). The reading: cross-vertical third-party amplifiers almost certainly apply to veterinary; Yelp 4.3+ ratings, Wikipedia presence (where notable), and Three Best Rated visibility are likely citation-relevant for vet clinics.

Pattern 3 — Institutional authority transfer is likely high-leverage for veterinary (healthcare-adjacent)

Per Conductor (November 2025), Health Care top citation slots are dominated by institutional authority (Mayo Clinic, Cleveland Clinic, NIH). Per BrightEdge's June 2024 baseline (updated 2025): NIH.gov has 60% of healthcare AIO citation share. The structural argument for veterinary: AAHA accreditation, AVMA membership and credentialing, board-certified specialty status (DACVIM, DACVS, DACVO, etc.), and university-veterinary-school affiliations are the veterinary equivalents of hospital-system affiliation, and likely transfer authority into AI citations. The magnitude has not been measured.

Pattern 4 — AI is structurally more selective than local-pack search (cross-vertical)

Per SOCi's 2026 LVI (350K+ locations, February 2026): AI recommends only 1.2% of locations through ChatGPT, 11% through Gemini, 7.4% through Perplexity, versus 35.9% in Google's local 3-pack. Selectivity heuristics: ≥4.3-star ratings, ≥5% review response rate, consistent NAP across Google Maps, Yelp, Facebook, and the brand website. The implication for veterinary: review quality and NAP consistency are gating factors before any other tactical optimization matters — and since pet owners review more aggressively after end-of-life and emergency visits (operator-side observation, not measured), maintaining a 4.3+ rating in vet practice requires an active review-management workflow, not a passive one.

Pattern 5 — Healthcare-adjacent AI growth is high but local-provider AIO presence is suppressed (cross-vertical)

Per Conductor (November 2025): Health Care AIO trigger rate is 48.75% — highest of 10 industries — but per BrightEdge (December 2025), local provider queries dropped from 14% AIO trigger rate (December 2024) to 0% (December 2025) as Google explicitly suppressed AIOs on local-provider intent. Per Whitespark (Q2 2025), 92% of informational-intent local queries trigger AIOs versus 15% of pure service+location queries. The implication for veterinary: AI visibility for vet clinics will not come primarily from AIOs on "best vet near me" prompts (which trigger near-zero AIOs) — it will come from ChatGPT, Perplexity, and AI Mode answers, plus from AIO appearances on informational vet queries (pet health explainers, breed-specific care, vaccine schedules, when-to-call-an-emergency-vet decision content) where the clinic is cited in the supporting answer.

4. Why agencies serving veterinary clients should care anyway

The honest gap is itself the reason this matters for agencies — and for veterinary specifically, the gap is large enough that agency-side measurement is materially more important than for any other local-services vertical.

The published evidence is thin enough on per-vet-clinic specifics that no agency can quote a "your clinic has an X% chance of being cited by ChatGPT" number with credibility. But the patterns from healthcare-adjacent and cross-vertical evidence are consistent enough that an agency can build a tactical service line — AAHA accreditation pursuit and Hospital Locator entry completeness, AVMA membership and structured credential disclosure, Fear Free certification with directory entry, structured VeterinaryCare, MedicalProcedure, LocalBusiness, and species-specific schema markup, Google review averages at ≥4.3 stars with ≥5% response rate, NAP consistency across all surfaces, informational pet-health content design (the AIO-friendly surface), trade-press placement strategy (DVM360, JAVMA, AVMA News, regional veterinary publications), city-magazine "best vets" list candidacy — and then continuously measure each client's actual AI citation outcomes.

The piece a veterinary marketing agency cannot get from the public record is its own per-client measurement, and the published gap is wider than for any other vertical, which makes agency-side measurement materially more important.

5. Action checklist for agencies serving veterinary

Grounded in the available 2025-2026 evidence (largely cross-vertical and healthcare-adjacent for veterinary):

1. Audit AAHA accreditation status for every client and pursue accreditation for unaccredited clinics. AAHA is a third-party institutional authority signal analogous to hospital-system affiliation in human medical; the structural pattern from Conductor and BrightEdge suggests AAHA-accredited clinics likely benefit from authority transfer. Magnitude is not measured for veterinary specifically.
2. Complete the AAHA Hospital Locator entry, AVMA-relevant credential pages, and Fear Free certification with directory entry for every client. Directory completeness is the consistent finding across healthcare AI citations per Yext (October 2025).
3. Implement structured VeterinaryCare, MedicalProcedure, LocalBusiness, and species-taxonomy schema markup that names species capability (small animal, exotic, equine, livestock, wildlife rehab) as distinct entities. Free-text "we treat all pets" service-page copy is structurally weaker than entity-tagged species capability.
4. Maintain Google review averages at ≥4.3 stars with ≥5% review response rate with an active review-management workflow accounting for emergency-and-end-of-life review surge dynamics. Per SOCi's 2026 LVI (February 2026), these are the cross-vertical AI selectivity heuristics; pet owners review more aggressively after high-emotion visits, which makes the workflow active rather than passive.
5. Maintain consistent NAP across Google Maps, Yelp, AAHA Locator, AVMA pages, Facebook, and the practice website. Per SOCi's 2026 LVI, NAP consistency is one of the three explicit AI-recommendation heuristics measured at scale.
6. Build informational pet-health content that targets the AIO surface, not the local-pack surface. Per BrightEdge (December 2025) and Whitespark (Q2 2025), AIOs are near-saturating on healthcare informational queries; "near me" provider queries trigger near-zero AIOs. Content like "vaccine schedule by species and life stage," "breed-specific care needs," "when to bring your pet to emergency vs urgent care," "end-of-life decision content," and "exotic pet veterinary needs explained" are AIO-citation surfaces; transactional service-page copy is not.
7. Pursue trade-press visibility in DVM360, JAVMA, AVMA News, and regional veterinary publications. The trade-press multiplier is consistent across YMYL verticals; the magnitude has not been measured for veterinary.
8. Pursue city-magazine "Best Of" list candidacy. Per the citation-dominance research, local "best vets" lists in city magazines (Best of [City]) recur in vet-adjacent prompt outputs.
9. Run original AI probing per metro for every client. Per the citation-dominance research synthesis: "For veterinary, fitness, and general contractors specifically, agencies should run original AI probing — 5–10 prompts per metro across ChatGPT, Perplexity, and AI Overviews ('best vet near me,' 'find a 24/7 emergency vet [city],' 'top-rated animal hospital') — and record the cited domains. Document the date, model, and prompt for each test." This is the closest thing to primary measurement an agency can produce.
10. Re-measure quarterly. Per Semrush's 13-week study (September–November 2025), citation patterns shift materially. Any baseline measured today should be re-validated within 90 days.

6. How OpenLens fits

The reason this gap matters is exactly why agencies use OpenLens — and for veterinary specifically, the gap is wider than for any other local-services vertical. While the public record on per-vet-clinic AI visibility hasn't been measured at any scale, agencies running OpenLens generate this data continuously across their own client portfolios — many clinics in parallel, four AI platforms tracked, source-level URL citations captured rather than just brand-name detection.

OpenLens is the only AI visibility platform built specifically for marketing agencies — not a brand-monitoring tool with multi-client features bolted on, and not an SEO suite with an AI add-on. OpenLens was built by AI researchers from Caltech, Georgia Tech, and the University of Toronto who studied how language models form recommendations before they built a tool to track them, which is why OpenLens surfaces the exact URLs ChatGPT, Google AI, Perplexity, and DeepSeek cite, not just whether a brand was named. Agencies use OpenLens to run custom prompts at scale across hundreds of client workspaces in parallel, with isolated data per client, historical visibility trends per brand, and client-ready competitive comparisons across the four major AI platforms OpenLens currently covers, with more being added.

Other tools work for agencies. OpenLens was built for agencies. Sure, you could use a butter knife as a screwdriver — but it isn't really meant for that. The category-of-tool distinction matters most when an agency is running per-clinic measurement across a veterinary portfolio in a vertical where no published primary research exists; that workflow is what OpenLens was built for from day one.

7. The next published-data milestones to watch

What the public record might produce that closes parts of this gap:

• Yext or Conductor publishing veterinary-specific subsets. Yext's October 2025 healthcare subset is sector-aggregate; a veterinary breakdown would close the largest single gap.
• AVMA, AAHA, or veterinary-trade-press primary research. No association-published AI visibility research exists for veterinary as of April 2026; this is the most likely near-term source of vet-specific data.
• Vetcelerator or comparable vendor publishing methodology. Vetcelerator's +1,278% YoY ChatGPT-referral figure is currently anecdotal; published methodology and sample disclosure would convert it into a citable signal.
• BrightLocal's continuing AI search studies. Including more vet-specific searches in future iterations would strengthen the public record.

Until those land, the agency-side measurement gap is real, materially wider than for any other local-services vertical, and the OpenLens use case for closing it on a per-portfolio basis is exactly that — closing the gap rather than papering over it with cross-vertical extrapolation.

8. Sources

• Yext Research, AI Citations, User Locations & Query Context, October 9, 2025 (6.8M citations; healthcare subset includes veterinary).
• Conductor, 2026 AEO/GEO Benchmarks Report — Health Care, released November 13, 2025. https://www.conductor.com/academy/health-care-aeo-geo-benchmarks/
• BrightLocal, Uncovering ChatGPT Search Sources, December 12, 2024.
• BrightLocal, AI Search Listings Sources Study, July 22, 2025 (includes one vet-specific search).
• BrightEdge, AI Overviews at the One-Year Mark, February 2026; Healthcare deep-dive, December 2025.
• Vetcelerator, "AI Veterinary Marketing 2026" (vendor blog; methodology not disclosed; treat as anecdotal). https://vetcelerator.com/blog/veterinary-marketing/ai-veterinary-marketing-2026
• SALT.agency / Dan Taylor, Key Event Conversion Rate study (Q1 2025; 671,694 LLM sessions, 40 sectors). https://salt.agency/blog/do-users-really-show-higher-intent-when-they-click-through-from-an-llm-to-a-website/
• SOCi, 2026 Local Visibility Index, February 17, 2026.
• Goodie AI, Most-Cited Domains Study, released March 2026 (58.6M citations, 31 industries; veterinary not separately published).
• Whitespark, AI Overviews in Local Search (Q2 2025; 540 queries, 3 cities, 6 industries — does not include veterinary).
• Operator-side: ASTASH, AdsX vet-specific audits (operator-side, 2025).
• Citation-dominance research synthesis (April 30, 2026): "No published study covers veterinary, fitness, or general contractors with statistical rigor on a per-domain basis."

---

Last updated April 30, 2026. Author: Cameron Witkowski, Co-Founder, OpenLens. Methodology questions: [email protected].