Original research · 2026-07 edition

AI SEO Statistics: Vegan Business (2026-07 edition)

15 questions · 45 AI responses · 3 models · measured 2026-07-04

See how AI talks about YOUR businessFull data table

The question bank

The questions we tested — sampled from real buyer journeys in vegan business.

Each model answered every question once, same wording, same day. These are the prompts behind every percentage on this page.

What are the must-have certifications I should look for when shopping at a new vegan online boutique to ensure they are actually cruelty-free?
Is it worth paying the premium for a dedicated vegan meal kit service or should I just use a regular grocery delivery app and filter for plant-based?
I am looking for an online vegan shoe retailer that offers free returns because sizing is always so tricky with synthetic materials.
How can I tell if a vegan skincare brand is actually eco-friendly or if they are just greenwashing their packaging?
What is the average shipping time for frozen vegan meats from specialty online shops and how do they keep things from melting?
Are there any vegan-owned marketplaces that vet every single ingredient so I do not have to read every label myself?
I need to find a high-end vegan gift basket for a corporate client with a budget of $150, any suggestions for reliable vendors?
What are the red flags to watch out for when buying vegan leather bags online to make sure it is not just cheap plastic that will peel?
Show all 15 questions
Can you compare the top three vegan grocery subscription boxes based on their focus on whole foods versus processed snacks?
Is it cheaper to buy bulk vegan staples like nutritional yeast and soy curls from a dedicated vegan retailer or a general bulk site?
I want to support small vegan businesses but I am worried about the reliability of their customer service if my order gets lost.
Are there any online vegan retailers that specialize in plastic-free or zero-waste packaging for their shipments?
I am looking for a vegan fashion site that uses models of different sizes so I can see how the clothes actually fit a real body.
How do I verify if a vegan online store is truly independent or if they are owned by a large non-vegan parent corporation?
Which online vegan bakeries offer overnight shipping for birthday cakes that actually arrive without the frosting getting ruined?

Model by model

25-point average divergence: which AI you ask changes the answer.

The divergence index is the average gap between the most and least likely model per behavior. Higher = the models disagree more about vegan business buyers.

Behavior rates across 15 vegan business buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional27%20%20%73%
Suggests DIY first7%13%7%80%
Names specific providers60%53%60%33%
Gives price or cost info13%13%13%73%
Tells to check reviews33%40%0%47%
Tells to verify credentials33%20%13%67%
Mentions case studies / portfolio0%0%0%100%
Mentions local proximity47%27%13%47%
Gives selection criteria73%60%40%40%
Warns about red flags13%20%13%80%
Asks a clarifying question73%60%0%13%
Recommends multiple quotes0%7%0%93%

By model

How each assistant handled Vegan Business questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same vegan business questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 26.7% (ChatGPT) down to 20% (Claude), a 7-point gap on an identical question set.

Across the 15 vegan business answers it produced, ChatGPT recommended hiring a professional in 26.7% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 60% of answers (about 3.2 distinct providers per answer) and included price or cost information 13.3% of the time. ChatGPT asked a clarifying question before answering in 73.3% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 33.3%, averaging 482 words per answer. On the remaining cues it told the buyer to check reviews in 33.3%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 46.7%; a selection-criteria checklist appeared in 73.3% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 vegan business answers it produced, Claude recommended hiring a professional in 20% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 53.3% of answers (about 1.7 distinct providers per answer) and included price or cost information 13.3% of the time. Claude asked a clarifying question before answering in 60% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 20%, averaging 278 words per answer. On the remaining cues it told the buyer to check reviews in 40%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 26.7%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 6.7%.

Across the 15 vegan business answers it produced, Gemini recommended hiring a professional in 20% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 60% of answers (about 1.2 distinct providers per answer) and included price or cost information 13.3% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 13.3%, averaging 203 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 13.3%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a vegan business buyer to a professional (26.7%) and Claude the least (20%). ChatGPT produced the longest answers, at 482 words on average. Specific providers were named most often by ChatGPT (60%) — even there, roughly one answer in 2 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 25.2 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a vegan business buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 73.3% (ChatGPT) — a 73-point spread.
  • Tells the buyer to check reviews: from 0% (Gemini) to 40% (Claude) — a 40-point spread.
  • Mentions local proximity: from 13.3% (Gemini) to 46.7% (ChatGPT) — a 33-point spread.
  • Gives selection criteria: from 40% (Gemini) to 73.3% (ChatGPT) — a 33-point spread.
  • Tells the buyer to verify credentials: from 13.3% (Gemini) to 33.3% (ChatGPT) — a 20-point spread.

The widest single gap — asks a clarifying question, 73 points — means a vegan business buyer can receive materially different guidance on the same question depending only on which assistant they happen to open, so any visibility strategy built on a single model's behavior describes only part of the vegan business market.

Where they agree

The points of near-consensus in Vegan Business.

On other behaviors the three models move almost in lockstep — the points of near-consensus for vegan business, where all three landed within a few points of each other:

  • Gives price or cost information: 13.3% across all three models.
  • Mentions case studies or portfolio: 0% across all three models.
  • Suggests a DIY approach first: 6.7%–13.3% across all three (a 7-point spread).
  • Recommends hiring a professional: 20%–26.7% across all three (a 7-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "mentions case studies or portfolio" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (13.3%).

Every behavior, measured

All twelve coded behaviors for Vegan Business, averaged across the three models.

The behaviors AI models reproduce most often for vegan business are names a specific provider (57.8% on average), gives selection criteria (57.8%) and asks a clarifying question (44.4%); the rarest are mentions case studies or portfolio (0%), recommends multiple quotes (2.2%) and suggests a DIY approach first (8.9%). Each figure below is the share of a model's 15 answers in which the behavior appeared at least once, averaged across the 3 models with the full per-model range in parentheses:

  • Names a specific provider: 57.8% on average (ChatGPT 60%, Claude 53.3%, Gemini 60%) — a 7-point spread.
  • Gives selection criteria: 57.8% on average (ChatGPT 73.3%, Claude 60%, Gemini 40%) — a 33-point spread.
  • Asks a clarifying question: 44.4% on average (ChatGPT 73.3%, Claude 60%, Gemini 0%) — a 73-point spread.
  • Mentions local proximity: 28.9% on average (ChatGPT 46.7%, Claude 26.7%, Gemini 13.3%) — a 33-point spread.
  • Tells the buyer to check reviews: 24.4% on average (ChatGPT 33.3%, Claude 40%, Gemini 0%) — a 40-point spread.
  • Recommends hiring a professional: 22.2% on average (ChatGPT 26.7%, Claude 20%, Gemini 20%) — a 7-point spread.
  • Tells the buyer to verify credentials: 22.2% on average (ChatGPT 33.3%, Claude 20%, Gemini 13.3%) — a 20-point spread.
  • Warns about red flags or scams: 15.5% on average (ChatGPT 13.3%, Claude 20%, Gemini 13.3%) — a 7-point spread.
  • Gives price or cost information: 13.3% on average (ChatGPT 13.3%, Claude 13.3%, Gemini 13.3%).
  • Suggests a DIY approach first: 8.9% on average (ChatGPT 6.7%, Claude 13.3%, Gemini 6.7%) — a 7-point spread.
  • Recommends multiple quotes: 2.2% on average (ChatGPT 0%, Claude 6.7%, Gemini 0%) — a 7-point spread.
  • Mentions case studies or portfolio: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the vegan business buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the vegan business buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 24.4% of answers on average. Verifying credentials or certifications appeared in 22.2%. Warning about red flags or scams appeared in 15.5%.

On structuring the decision, a selection-criteria checklist showed up in 57.8% of answers on average and a recommendation to gather multiple quotes in 2.2%. The single least-reproduced protective signal for vegan business is "recommends multiple quotes" at 2.2% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

Referral behavior

Do AI models name Vegan Business providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 vegan business answers, a specific provider was named in 57.8% of responses on average — roughly 2 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for vegan business: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Vegan Business questions cover.

The 15 questions behind every percentage on this page were drawn from real vegan business (ecommerce / online retail; buyer hiring decisions for this specific service) buyer journeys. Each was put to all 3 models once, with identical wording, so the rates above describe how the assistants handled this exact vegan business question set — not a general prior or a hand-picked subset. The full list is shown earlier on this page; the coded percentages are what those specific questions produced.

How to read this

A note on the numbers.

A percentage here is the share of a model's 15 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-04, the figures describe this specific vegan business question set and snapshot rather than a general prior. The full protocol and coding rubric are documented in the study methodology.

Methodology

A controlled snapshot, documented end to end.

15 standardized buyer questions per industry, one response per model per question (ChatGPT (gpt-5-mini), Claude (claude-sonnet-5), Gemini (gemini-3-flash-preview)), collected 2026-07-04, coded against a fixed 12-behavior rubric with human QA. AI outputs vary with model version, location and time — figures describe this sample and window, and are refreshed each edition. Read the full methodology →