AI SEO Statistics: Muslim Brands (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same muslim brands questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 20% (ChatGPT) down to 6.7% (Claude), a 13-point gap on an identical question set.

Across the 15 muslim brands answers it produced, ChatGPT recommended hiring a professional in 20% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 40% of answers (about 2.4 distinct providers per answer) and included price or cost information 0% of the time. ChatGPT asked a clarifying question before answering in 66.7% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 20%, averaging 518 words per answer. On the remaining cues it told the buyer to check reviews in 53.3%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 33.3%; a selection-criteria checklist appeared in 73.3% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 muslim brands answers it produced, Claude recommended hiring a professional in 6.7% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 40% of answers (about 1.9 distinct providers per answer) and included price or cost information 0% of the time. Claude asked a clarifying question before answering in 93.3% of cases, warned about red flags or scams in 26.7%, and told the buyer to verify credentials in 13.3%, averaging 282 words per answer. On the remaining cues it told the buyer to check reviews in 73.3%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 26.7%; a selection-criteria checklist appeared in 100% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 muslim brands answers it produced, Gemini recommended hiring a professional in 6.7% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 40% of answers (about 1.3 distinct providers per answer) and included price or cost information 20% of the time. Gemini asked a clarifying question before answering in 6.7% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 6.7%, averaging 241 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 53.3% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a muslim brands buyer to a professional (20%) and Claude the least (6.7%). ChatGPT produced the longest answers, at 518 words on average. Specific providers were named most often by ChatGPT (40%) — even there, roughly one answer in 3 carried a name.

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

• Names a specific provider: 40% across all three models.
• Recommends multiple quotes: 0% across all three models.
• Mentions case studies or portfolio: 0%–6.7% across all three (a 7-point spread).
• Recommends hiring a professional: 6.7%–20% across all three (a 13-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "recommends multiple quotes" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (6.7%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the muslim brands buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 42.2% of answers on average. Verifying credentials or certifications appeared in 13.3%. Warning about red flags or scams appeared in 17.8%.

On structuring the decision, a selection-criteria checklist showed up in 75.5% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for muslim brands is "recommends multiple quotes" 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.

The 15 questions behind every percentage on this page were drawn from real muslim brands (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 muslim brands 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.