Original research · 2026-07 edition

AI SEO Statistics: Web Design Agency (2026-07 edition)

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

The question bank

The questions we tested — sampled from real buyer journeys in web design agency.

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

My current website looks like it's from 2010 and we're losing customers, should I just reskin it or start from scratch?
What is the average cost for a 10-page service business website with a blog and contact forms?
I'm debating between hiring a local boutique agency or a big national firm, what are the pros and cons for a mid-sized business?
How do I know if a web design agency actually knows SEO or if they're just making things look pretty?
What's a realistic timeline for a custom e-commerce build if we already have all our product photography ready?
Is it better to pay a flat project fee for a new site or go with an agency that charges an hourly rate?
I tried building my own site on a DIY platform but it's not ranking on Google, can a professional agency fix what I have or do they always want to rebuild?
What specific questions should I ask during a discovery call to make sure an agency understands my niche market?
Show all 15 questions
Are there any hidden costs I should watch out for in a web design contract, like ongoing hosting or monthly maintenance fees?
We need a high-converting landing page for a campaign launching in 14 days, is that a reasonable turnaround for a professional team?
How can I tell if an agency's portfolio is actually their own custom work and not just slightly modified templates?
Does it matter if my web designer is in the same time zone as me for a complex project that requires a lot of collaboration?
What's the actual difference in value between a $2,000 freelancer and a $15,000 agency for a basic corporate site?
If I hire an agency to build my site, who legally owns the source code and the graphics once the final invoice is paid?
My bounce rate is over 80% on mobile devices, what specific technical fixes should I ask a designer to prioritize to keep people on the page?

Model by model

19-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 web design agency buyers.

Behavior rates across 15 web design agency buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional47%33%27%67%
Suggests DIY first7%13%0%80%
Names specific providers7%7%7%80%
Gives price or cost info7%7%20%67%
Tells to check reviews0%7%0%93%
Tells to verify credentials0%0%0%100%
Mentions case studies / portfolio0%13%13%80%
Mentions local proximity7%7%13%87%
Gives selection criteria40%40%40%20%
Warns about red flags7%27%13%53%
Asks a clarifying question33%40%0%40%
Recommends multiple quotes0%7%0%93%

By model

How each assistant handled Web Design Agency questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same web design agency questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 46.7% (ChatGPT) down to 26.7% (Gemini), a 20-point gap on an identical question set.

Across the 15 web design agency answers it produced, ChatGPT recommended hiring a professional in 46.7% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 6.7% of answers (about 0.2 distinct providers per answer) and included price or cost information 6.7% of the time. ChatGPT asked a clarifying question before answering in 33.3% of cases, warned about red flags or scams in 6.7%, and told the buyer to verify credentials in 0%, averaging 708 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 6.7%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 web design agency answers it produced, Claude recommended hiring a professional in 33.3% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 6.7% of answers (about 0.1 distinct providers per answer) and included price or cost information 6.7% of the time. Claude asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 26.7%, and told the buyer to verify credentials in 0%, averaging 318 words per answer. On the remaining cues it told the buyer to check reviews in 6.7%, pointed to case studies or a portfolio in 13.3%, and framed the choice around local proximity in 6.7%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 6.7%.

Across the 15 web design agency answers it produced, Gemini recommended hiring a professional in 26.7% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 6.7% of answers (about 0.4 distinct providers per answer) and included price or cost information 20% 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 0%, averaging 261 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 13.3%, 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 web design agency buyer to a professional (46.7%) and Gemini the least (26.7%). ChatGPT produced the longest answers, at 708 words on average. Specific providers were named most often by ChatGPT (6.7%) — even there, roughly one answer in 15 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 18.9 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a web design agency buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 40% (Claude) — a 40-point spread.
  • Recommends hiring a professional: from 26.7% (Gemini) to 46.7% (ChatGPT) — a 20-point spread.
  • Warns about red flags or scams: from 6.7% (ChatGPT) to 26.7% (Claude) — a 20-point spread.
  • Suggests a DIY approach first: from 0% (Gemini) to 13.3% (Claude) — a 13-point spread.
  • Gives price or cost information: from 6.7% (ChatGPT) to 20% (Gemini) — a 13-point spread.

The widest single gap — asks a clarifying question, 40 points — means a web design agency 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 web design agency market.

Where they agree

The points of near-consensus in Web Design Agency.

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

  • Names a specific provider: 6.7% across all three models.
  • Tells the buyer to verify credentials: 0% across all three models.
  • Gives selection criteria: 40% across all three models.
  • Mentions local proximity: 6.7%–13.3% across all three (a 7-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "tells the buyer to verify credentials" (identical coding in 100% of questions) and least consistently on "gives selection criteria" (20%).

Every behavior, measured

All twelve coded behaviors for Web Design Agency, averaged across the three models.

The behaviors AI models reproduce most often for web design agency are gives selection criteria (40% on average), recommends hiring a professional (35.6%) and asks a clarifying question (24.4%); the rarest are tells the buyer to verify credentials (0%), recommends multiple quotes (2.2%) and tells the buyer to check reviews (2.2%). 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:

  • Gives selection criteria: 40% on average (ChatGPT 40%, Claude 40%, Gemini 40%).
  • Recommends hiring a professional: 35.6% on average (ChatGPT 46.7%, Claude 33.3%, Gemini 26.7%) — a 20-point spread.
  • Asks a clarifying question: 24.4% on average (ChatGPT 33.3%, Claude 40%, Gemini 0%) — a 40-point spread.
  • Warns about red flags or scams: 15.6% on average (ChatGPT 6.7%, Claude 26.7%, Gemini 13.3%) — a 20-point spread.
  • Gives price or cost information: 11.1% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 20%) — a 13-point spread.
  • Mentions case studies or portfolio: 8.9% on average (ChatGPT 0%, Claude 13.3%, Gemini 13.3%) — a 13-point spread.
  • Mentions local proximity: 8.9% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 13.3%) — a 7-point spread.
  • Suggests a DIY approach first: 6.7% on average (ChatGPT 6.7%, Claude 13.3%, Gemini 0%) — a 13-point spread.
  • Names a specific provider: 6.7% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 6.7%).
  • Tells the buyer to check reviews: 2.2% on average (ChatGPT 0%, Claude 6.7%, Gemini 0%) — a 7-point spread.
  • Recommends multiple quotes: 2.2% on average (ChatGPT 0%, Claude 6.7%, Gemini 0%) — a 7-point spread.
  • Tells the buyer to verify credentials: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the web design agency buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the web design agency buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 2.2% of answers on average. Verifying credentials or certifications appeared in 0%. Warning about red flags or scams appeared in 15.6%.

On structuring the decision, a selection-criteria checklist showed up in 40% of answers on average and a recommendation to gather multiple quotes in 2.2%. The single least-reproduced protective signal for web design agency is "tells the buyer to verify credentials" at 0% 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 Web Design Agency providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 web design agency answers, a specific provider was named in 6.7% of responses on average — roughly 0.2 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for web design agency: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Web Design Agency questions cover.

The 15 questions behind every percentage on this page were drawn from real web design agency (professional 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 web design agency 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 web design agency 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 →