Original Research

AI Buyer Prompt Study: 300-Prompt Pilot In Progress

Follow the study design before the data is published; statistics will appear only after real rows are complete.

Primary topic: AI buyer prompt studyBuilt for: marketers and founders looking for evidence about AI recommendations

Pilot study in progress

0 of 300 required observations are complete. This page is noindex and omitted from the sitemap until the study data is ready. No statistics are published before the dataset exists.

Study design

The planned pilot covers 10 industries, 5 buyer prompts per industry, and 6 AI platforms: ChatGPT, Claude, Gemini, Perplexity, Grok, and DeepSeek. That creates a target of 300 observations.

Metrics collected

Each observation should record brand mention rate, competitor recommendation status, citation/source presence, answer confidence label, category clarity gaps, proof gaps, scan date, and reviewer notes.

Why the page is gated

Publishing invented statistics would weaken trust. The page stays noindex and out of the sitemap until the local study data file contains enough complete rows to support the headline.

What will be published

Once complete, the page should show aggregate tables by model, industry, prompt type, citation presence, competitor pattern, and observed action gap.

Prompt-Specific Field Note

Research observation to collect Best CRM for small business

Only count the result when the prompt, AI platform or signal, surfaced brands, citation state, scan date, and reviewer notes are complete.

What the answer may reveal The study records which brands are recommended, which competitors appear, and whether citations or source signals are present.

Use this as a diagnostic result, not a guaranteed ranking claim. The scan should show what the answer said at a specific time.

First action to test Use the findings to prioritize category clarity, comparison content, reviews, and citation gaps.

Next supporting fixes: Collect complete observations, Review outliers, Publish aggregate tables.

Sample Prompt Result

Redacted sample report layout. Replace with live scan evidence before using as a customer case study.

Buyer promptBest CRM for small business

What the answer may revealThe study records which brands are recommended, which competitors appear, and whether citations or source signals are present.

First actionUse the findings to prioritize category clarity, comparison content, reviews, and citation gaps.

Example Insights Screenshot

This sample view shows the kind of prompt trend and answer evidence a team should review before deciding what to fix for AI buyer prompt study.

Example Insights dashboard showing prompt trends, filters, and answer evidence — Sample dashboard screenshot. Replace with customer-specific scans, citations, and before/after evidence when reporting real results.

How We Test AI Visibility

01Pick the buyer prompt

Use a question close to revenue, not a generic keyword.

02Record the answer

Save the platform or signal, date, status, competitors, and citation/source notes.

03Review the evidence

Separate direct prompt evidence from directional or indirect signals.

04Choose the fix

Turn the result into a content, proof, review, citation, or positioning action.

Research pages should publish numbers only after the data file contains complete rows. Until then, the page explains the design and stays out of the sitemap.

Read the full methodology

What A Useful Report Includes

Prompt

The exact buyer question tested.

AI platform

The model or signal reviewed.

Scan date

When the evidence was captured.

Answer status

Visible, weak, missing, or competitor-led.

Competitors surfaced

Brands or alternatives named instead.

Source gaps

Citations, reviews, or pages to improve.

Action plan

The first fix to test before the next run.

What To Fix First

Collect complete observations
Review outliers
Publish aggregate tables
Turn findings into industry and model guides

Frequently Asked Questions

Are the study statistics live yet?

No. The study is still collecting real observations, so no statistics are shown yet.

Why use noindex while collecting data?

Noindex prevents an unfinished research page from being treated as a finished public study.

What counts as a complete row?

A complete row includes industry, prompt, AI platform or signal, tested brand/category, answer summary, recommendation status, observed gap, scan date, and reviewer notes.