Original research · 2026-07 edition

AI SEO Statistics: Doulas (2026-07 edition)

40 questions · 120 AI responses · 3 models · measured 2026-07-06

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The question bank

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

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

What is the actual difference between a birth doula and a midwife in terms of medical authority?
Is it worth paying for a doula if I am already planning on having an epidural as soon as possible?
How much does a postpartum doula typically cost per hour for overnight help in a major city?
I am 35 weeks pregnant and just decided I want a doula, is it too late to find someone available?
What are the specific benefits of having a doula if I am attempting a VBAC after a previous C-section?
Do health insurance providers or HSA/FSA accounts usually cover the cost of a birth doula?
How can I tell if a doula is truly experienced or if they just finished a weekend certification course?
What should I do if my partner feels like a doula will replace their role or make them feel useless during labor?
Show all 40 questions
Are there any red flags I should look for during an initial interview with a potential doula?
Do doulas usually offer a sliding scale or payment plans for families on a tight budget?
Can a doula help me navigate a high-risk pregnancy where I have to follow strict medical protocols?
How many prenatal meetings are standard in a birth doula package before the actual due date?
What happens if my doula is at another birth when I go into labor, do they provide a backup?
If I am having a scheduled C-section, what kind of support can a doula actually provide in the operating room?
I'm looking for a doula who specializes in supporting single parents, where is the best place to search?
What is the difference between a postpartum doula and a night nurse or a nanny?
Do hospital staff usually find doulas helpful or do they tend to butt heads during the delivery?
Can a doula help me advocate for my birth plan if the doctors are pushing for interventions I don't want?
Are there virtual doula services available if I live in a rural area with no local providers?
What kind of physical comfort measures do doulas use to help manage labor pain without medication?
Is it normal for a doula to charge a non-refundable retainer fee upfront?
How do I find a doula who has specific experience with twin births or multiples?
What questions should I ask a doula to see if our personalities and birth philosophies actually align?
Do most doulas stay for the entire labor regardless of how many hours it takes, or is there a time limit?
Can a postpartum doula help with breastfeeding issues and light housework, or just baby care?
What are the most reputable doula certification organizations I should look for on a resume?
I have a lot of birth-related anxiety, can a doula provide emotional coaching during the third trimester?
Should I hire a doula if I'm planning a home birth with a licensed midwife?
Is it appropriate to ask a doula for references from the last three clients they worked with?
How does a doula's role change if I end up needing an emergency induction?
What is the average price range for a full labor support package in a suburban area?
Does a doula typically provide their own supplies like TENS machines or massage oils?
Can a doula help me process birth trauma from a previous delivery while preparing for a new one?
Are there doulas who specialize in bereavement support for families facing a difficult diagnosis?
How soon after the birth does a postpartum doula usually start their first shift?
Will a doula help my partner know what to do so they don't feel like a bystander?
What's the protocol if I don't vibe with the backup doula they've assigned to me?
Can a doula attend my prenatal doctor appointments with me to help ask the right questions?
Do doulas offer sibling support to help older children adjust when the new baby arrives?
Is there a standard contract I should expect to sign when hiring a private doula?

Model by model

21-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 doulas buyers.

Behavior rates across 40 doulas buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional68%60%55%63%
Suggests DIY first3%0%0%98%
Names specific providers0%10%10%85%
Gives price or cost info8%10%5%88%
Tells to check reviews20%8%5%70%
Tells to verify credentials33%10%5%58%
Mentions case studies / portfolio10%3%3%85%
Mentions local proximity30%20%10%63%
Gives selection criteria58%45%23%23%
Warns about red flags13%13%8%83%
Asks a clarifying question50%35%0%33%
Recommends multiple quotes8%13%0%85%

By model

How each assistant handled Doulas questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same doulas questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 67.5% (ChatGPT) down to 55% (Gemini), a 13-point gap on an identical question set.

Across the 40 doulas answers it produced, ChatGPT recommended hiring a professional in 67.5% of them and suggested a DIY approach first 2.5% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 7.5% of the time. ChatGPT asked a clarifying question before answering in 50% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 32.5%, averaging 454 words per answer. On the remaining cues it told the buyer to check reviews in 20%, pointed to case studies or a portfolio in 10%, and framed the choice around local proximity in 30%; a selection-criteria checklist appeared in 57.5% of its answers and a recommendation to gather multiple quotes in 7.5%.

Across the 40 doulas answers it produced, Claude recommended hiring a professional in 60% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 10% of answers (about 0.5 distinct providers per answer) and included price or cost information 10% of the time. Claude asked a clarifying question before answering in 35% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 10%, averaging 286 words per answer. On the remaining cues it told the buyer to check reviews in 7.5%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 45% of its answers and a recommendation to gather multiple quotes in 12.5%.

Across the 40 doulas answers it produced, Gemini recommended hiring a professional in 55% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 10% of answers (about 0.4 distinct providers per answer) and included price or cost information 5% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 5%, averaging 293 words per answer. On the remaining cues it told the buyer to check reviews in 5%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 10%; a selection-criteria checklist appeared in 22.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a doulas buyer to a professional (67.5%) and Gemini the least (55%). ChatGPT produced the longest answers, at 454 words on average. Specific providers were named most often by Claude (10%) — even there, roughly one answer in 10 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 20.6 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a doulas buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 50% (ChatGPT) — a 50-point spread.
  • Gives selection criteria: from 22.5% (Gemini) to 57.5% (ChatGPT) — a 35-point spread.
  • Tells the buyer to verify credentials: from 5% (Gemini) to 32.5% (ChatGPT) — a 28-point spread.
  • Mentions local proximity: from 10% (Gemini) to 30% (ChatGPT) — a 20-point spread.
  • Tells the buyer to check reviews: from 5% (Gemini) to 20% (ChatGPT) — a 15-point spread.

The widest single gap — asks a clarifying question, 50 points — means a doulas 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 doulas market.

Where they agree

The points of near-consensus in Doulas.

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

  • Suggests a DIY approach first: 0%–2.5% across all three (a 3-point spread).
  • Gives price or cost information: 5%–10% across all three (a 5-point spread).
  • Warns about red flags or scams: 7.5%–12.5% across all three (a 5-point spread).
  • Mentions case studies or portfolio: 2.5%–10% across all three (a 8-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "suggests a DIY approach first" (identical coding in 97.5% of questions) and least consistently on "gives selection criteria" (22.5%).

Every behavior, measured

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

The behaviors AI models reproduce most often for doulas are recommends hiring a professional (60.8% on average), gives selection criteria (41.7%) and asks a clarifying question (28.3%); the rarest are suggests a DIY approach first (0.8%), mentions case studies or portfolio (5%) and recommends multiple quotes (6.7%). Each figure below is the share of a model's 40 answers in which the behavior appeared at least once, averaged across the 3 models with the full per-model range in parentheses:

  • Recommends hiring a professional: 60.8% on average (ChatGPT 67.5%, Claude 60%, Gemini 55%) — a 13-point spread.
  • Gives selection criteria: 41.7% on average (ChatGPT 57.5%, Claude 45%, Gemini 22.5%) — a 35-point spread.
  • Asks a clarifying question: 28.3% on average (ChatGPT 50%, Claude 35%, Gemini 0%) — a 50-point spread.
  • Mentions local proximity: 20% on average (ChatGPT 30%, Claude 20%, Gemini 10%) — a 20-point spread.
  • Tells the buyer to verify credentials: 15.8% on average (ChatGPT 32.5%, Claude 10%, Gemini 5%) — a 28-point spread.
  • Tells the buyer to check reviews: 10.8% on average (ChatGPT 20%, Claude 7.5%, Gemini 5%) — a 15-point spread.
  • Warns about red flags or scams: 10.8% on average (ChatGPT 12.5%, Claude 12.5%, Gemini 7.5%) — a 5-point spread.
  • Gives price or cost information: 7.5% on average (ChatGPT 7.5%, Claude 10%, Gemini 5%) — a 5-point spread.
  • Names a specific provider: 6.7% on average (ChatGPT 0%, Claude 10%, Gemini 10%) — a 10-point spread.
  • Recommends multiple quotes: 6.7% on average (ChatGPT 7.5%, Claude 12.5%, Gemini 0%) — a 13-point spread.
  • Mentions case studies or portfolio: 5% on average (ChatGPT 10%, Claude 2.5%, Gemini 2.5%) — a 8-point spread.
  • Suggests a DIY approach first: 0.8% on average (ChatGPT 2.5%, Claude 0%, Gemini 0%) — a 3-point spread.

Trust signals

How well the models protect the doulas buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the doulas buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 10.8% of answers on average. Verifying credentials or certifications appeared in 15.8%. Warning about red flags or scams appeared in 10.8%.

On structuring the decision, a selection-criteria checklist showed up in 41.7% of answers on average and a recommendation to gather multiple quotes in 6.7%. The single least-reproduced protective signal for doulas is "recommends multiple quotes" at 6.7% 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 Doulas providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 doulas answers, a specific provider was named in 6.7% of responses on average — roughly 0.3 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for doulas: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Doulas questions cover.

The 40 questions behind every percentage on this page were drawn from real doulas (healthcare services; 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 doulas 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 40 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-06, the figures describe this specific doulas 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.

40 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 2026-07-06, 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 →