Original research · 2026-07 edition

AI SEO Statistics: Best Solutions for SEO B2b (2026-07 edition)

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

The question bank

The questions we tested — sampled from real buyer journeys in best solutions for seo b2b.

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

How do I get my consulting firm on the first page of Google for industry-specific keywords?
Is it worth hiring an SEO agency for a B2B service company or should we just run LinkedIn ads?
What are the average monthly retainer fees for a high-end B2B SEO consultant?
How can I tell if an SEO agency actually understands professional services or if they just do e-commerce?
What's the difference between B2B and B2C SEO strategies for professional services?
Can I handle our firm's SEO in-house with a marketing generalist or do I need a specialist?
How long does it typically take to see a positive ROI from organic search in the B2B space?
What specific SEO metrics should a B2B service provider track beyond just traffic?
Show all 40 questions
What are some red flags to watch out for when interviewing SEO agencies for a law firm?
Do I need a local SEO strategy if my professional services firm operates nationally?
How does thought leadership content impact B2B SEO rankings?
What should be included in a professional services SEO audit?
Is it better to hire a niche SEO agency that only works with accountants or a general B2B agency?
How much content do we need to publish weekly to compete in a high-authority B2B niche?
Should we focus on technical SEO or backlink building first for a new B2B website?
How do I evaluate an SEO proposal to make sure they aren't using black-hat techniques?
What's the best way to track leads that come from SEO for a service-based business?
Why is our B2B site losing rankings even though we're posting blogs regularly?
Can an SEO agency help with our B2B company's reputation management in search results?
How do I explain the value of a $5,000/month SEO spend to my partners?
What are the most important ranking factors for B2B professional services right now?
We have a high-ticket B2B service; how do we target bottom of the funnel keywords?
Is it possible to rank for competitive B2B terms without a massive backlink budget?
How do I transition from a bad SEO provider to a new one without losing my current rankings?
What’s a realistic timeline to go from page 5 to page 1 for a B2B keyword?
Does our B2B website need a complete redesign before we start an SEO campaign?
How do SEO agencies handle keyword research for very technical B2B industries?
What’s the difference between a project-based SEO fix and a monthly retainer?
Should I look for an SEO agency that offers a guarantee on rankings?
How do I know if our current B2B SEO agency is actually doing work or just sending reports?
What kind of access will an SEO consultant need to our website and analytics?
How does B2B SEO strategy change when targeting C-suite executives vs. mid-level managers?
Is guest posting still a viable SEO strategy for B2B professional services?
What are the pros and cons of hiring a freelance B2B SEO expert vs. a full-service agency?
How do we optimize our B2B service pages to rank for best service in city terms?
What questions should I ask during a discovery call with a B2B SEO firm?
How do I calculate the potential lifetime value of a lead generated through SEO?
Can we use AI-generated content for our B2B SEO strategy or will Google penalize us?
What's a typical contract length for a B2B SEO engagement?
How do I find an SEO partner that understands the long sales cycle of professional services?

Model by model

13-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 best solutions for seo b2b buyers.

Behavior rates across 40 best solutions for seo b2b buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional30%25%13%75%
Suggests DIY first20%13%8%75%
Names specific providers0%3%3%98%
Gives price or cost info5%5%13%88%
Tells to check reviews3%3%0%95%
Tells to verify credentials0%0%0%100%
Mentions case studies / portfolio13%28%5%60%
Mentions local proximity3%5%8%90%
Gives selection criteria13%20%23%68%
Warns about red flags8%15%15%70%
Asks a clarifying question30%38%0%48%
Recommends multiple quotes3%3%0%95%

By model

How each assistant handled Best Solutions for SEO B2b questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same best solutions for seo b2b questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 30% (ChatGPT) down to 12.5% (Gemini), a 18-point gap on an identical question set.

Across the 40 best solutions for seo b2b answers it produced, ChatGPT recommended hiring a professional in 30% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 5% of the time. ChatGPT asked a clarifying question before answering in 30% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 0%, averaging 709 words per answer. On the remaining cues it told the buyer to check reviews in 2.5%, pointed to case studies or a portfolio in 12.5%, and framed the choice around local proximity in 2.5%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 2.5%.

Across the 40 best solutions for seo b2b answers it produced, Claude recommended hiring a professional in 25% of them and suggested a DIY approach first 12.5% of the time. It named a specific provider in 2.5% of answers (about 0.2 distinct providers per answer) and included price or cost information 5% of the time. Claude asked a clarifying question before answering in 37.5% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 0%, averaging 349 words per answer. On the remaining cues it told the buyer to check reviews in 2.5%, pointed to case studies or a portfolio in 27.5%, and framed the choice around local proximity in 5%; a selection-criteria checklist appeared in 20% of its answers and a recommendation to gather multiple quotes in 2.5%.

Across the 40 best solutions for seo b2b answers it produced, Gemini recommended hiring a professional in 12.5% of them and suggested a DIY approach first 7.5% of the time. It named a specific provider in 2.5% of answers (about 0.2 distinct providers per answer) and included price or cost information 12.5% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 0%, averaging 236 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 5%, and framed the choice around local proximity in 7.5%; 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 best solutions for seo b2b buyer to a professional (30%) and Gemini the least (12.5%). ChatGPT produced the longest answers, at 709 words on average. Specific providers were named most often by Claude (2.5%) — even there, roughly one answer in 40 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 13.3 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a best solutions for seo b2b buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 37.5% (Claude) — a 38-point spread.
  • Mentions case studies or portfolio: from 5% (Gemini) to 27.5% (Claude) — a 23-point spread.
  • Recommends hiring a professional: from 12.5% (Gemini) to 30% (ChatGPT) — a 18-point spread.
  • Suggests a DIY approach first: from 7.5% (Gemini) to 20% (ChatGPT) — a 13-point spread.
  • Gives selection criteria: from 12.5% (ChatGPT) to 22.5% (Gemini) — a 10-point spread.

The widest single gap — asks a clarifying question, 38 points — means a best solutions for seo b2b 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 best solutions for seo b2b market.

Where they agree

The points of near-consensus in Best Solutions for SEO B2b.

On other behaviors the three models move almost in lockstep — the points of near-consensus for best solutions for seo b2b, where all three landed within a few points of each other:

  • Tells the buyer to verify credentials: 0% across all three models.
  • Names a specific provider: 0%–2.5% across all three (a 3-point spread).
  • Tells the buyer to check reviews: 0%–2.5% across all three (a 3-point spread).
  • Recommends multiple quotes: 0%–2.5% across all three (a 3-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 "asks a clarifying question" (47.5%).

Every behavior, measured

All twelve coded behaviors for Best Solutions for SEO B2b, averaged across the three models.

The behaviors AI models reproduce most often for best solutions for seo b2b are recommends hiring a professional (22.5% on average), asks a clarifying question (22.5%) and gives selection criteria (18.3%); the rarest are tells the buyer to verify credentials (0%), recommends multiple quotes (1.7%) and tells the buyer to check reviews (1.7%). 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: 22.5% on average (ChatGPT 30%, Claude 25%, Gemini 12.5%) — a 18-point spread.
  • Asks a clarifying question: 22.5% on average (ChatGPT 30%, Claude 37.5%, Gemini 0%) — a 38-point spread.
  • Gives selection criteria: 18.3% on average (ChatGPT 12.5%, Claude 20%, Gemini 22.5%) — a 10-point spread.
  • Mentions case studies or portfolio: 15% on average (ChatGPT 12.5%, Claude 27.5%, Gemini 5%) — a 23-point spread.
  • Suggests a DIY approach first: 13.3% on average (ChatGPT 20%, Claude 12.5%, Gemini 7.5%) — a 13-point spread.
  • Warns about red flags or scams: 12.5% on average (ChatGPT 7.5%, Claude 15%, Gemini 15%) — a 8-point spread.
  • Gives price or cost information: 7.5% on average (ChatGPT 5%, Claude 5%, Gemini 12.5%) — a 8-point spread.
  • Mentions local proximity: 5% on average (ChatGPT 2.5%, Claude 5%, Gemini 7.5%) — a 5-point spread.
  • Names a specific provider: 1.7% on average (ChatGPT 0%, Claude 2.5%, Gemini 2.5%) — a 3-point spread.
  • Tells the buyer to check reviews: 1.7% on average (ChatGPT 2.5%, Claude 2.5%, Gemini 0%) — a 3-point spread.
  • Recommends multiple quotes: 1.7% on average (ChatGPT 2.5%, Claude 2.5%, Gemini 0%) — a 3-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 best solutions for seo b2b buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the best solutions for seo b2b buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 1.7% of answers on average. Verifying credentials or certifications appeared in 0%. Warning about red flags or scams appeared in 12.5%.

On structuring the decision, a selection-criteria checklist showed up in 18.3% of answers on average and a recommendation to gather multiple quotes in 1.7%. The single least-reproduced protective signal for best solutions for seo b2b 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 Best Solutions for SEO B2b providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 best solutions for seo b2b answers, a specific provider was named in 1.7% of responses on average — roughly 0.1 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for best solutions for seo b2b: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Best Solutions for SEO B2b questions cover.

The 40 questions behind every percentage on this page were drawn from real best solutions for seo b2b (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 best solutions for seo b2b 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 best solutions for seo b2b 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 →