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The field guide to becoming recommendable in AI answers.

Start with measurement, investigate the competitor and source gap, then repair the evidence. Every guide states what is known, what is observed, and where our judgment begins.

Core methodology

Source-of-truth guides, one diagnostic chain.

These pages form the operating system behind the audit. Read them in order for a complete method or jump directly to the failure you see.

01AuditAI Visibility Audit: A Practical 2026 FrameworkA rigorous AI visibility audit method for prompts, citations, competitors, answer accuracy, scoring, and fixes across leading answer engines.02CompetitorsWhy AI Recommends Your Competitors InsteadDiagnose why ChatGPT, Gemini, Perplexity, and Google AI choose competitors and turn each recommendation gap into a specific repair.03PlatformsChatGPT vs Gemini vs Perplexity for Brand VisibilityCompare ChatGPT, Gemini, Perplexity, and Google AI visibility without pretending the platforms use one shared source or ranking system.04SourcesWhat is a missing source map in an AI visibility audit?Learn what a missing source map is in an AI visibility audit, which sources matter, and how to prioritize fixes.05FixesAI Search Fix Plan: What to Repair FirstA prioritized AI search fix plan for factual errors, source gaps, comparison pages, schema, directories, evidence, and monitoring.06MeasurementAI Visibility Score Methodology and LimitsSee the AI Visibility Score formula, weights, confidence rules, sample requirements, competitor share of voice, and methodological limits.07FixesWhat is answer engine optimization, and what actually changes?A clear definition of answer engine optimization, what changes from SEO, and how to make content easier for AI answers to cite.

Do not begin with content.

Begin with a controlled prompt set and a source-level diagnosis. Otherwise the team can spend a quarter publishing pages that never address the reason a competitor was recommended.

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Proof assets

Tools and examples that make the method tangible.

These pages are not filler. They answer the buyer's practical questions: what the report looks like, how scoring works, and how large the gap is before you pay for a full report.

Sample report

A public report walkthrough with score, prompt rows, source map, errors, and fixes.

Score calculator

A directional estimator for deciding whether a full audit is worth running.

Audit cost calculator

Estimate prompt, platform, source-review, and reporting scope before buying or quoting an audit.

AI share of voice calculator

Calculate your brand's mention share against competitors across the same buyer prompt set.

ChatGPT visibility calculator

Score a ChatGPT prompt test by recommendation rate, source exposure, repeatability, and factual risk.

Solve the exact problem

Practical guides for the decision in front of you.

Choose the job you need to complete: package the service, check a platform, diagnose an omission, measure change, ship the repair, or buy the right level of help.

Agencies

1 focused guides

How to Sell AEO Services Without Selling Hype

Sell AEO services with a proof-led discovery audit, clear scope, honest limits, client-ready outcomes, and a fix offer tied to observed recommendation gaps.

Tools

3 focused guides

ChatGPT Brand Visibility Checker: Test Your Brand

Check ChatGPT brand visibility with buyer-intent prompts, recommendation roles, source evidence, competitor comparisons, factual accuracy, and repeat tests.

Google AI Mode Visibility Checker: What to Measure

Measure Google AI Mode visibility with decision prompts, cited links, brand recommendations, Search eligibility checks, source gaps, and honest reporting limits.

AI Search Competitor Analysis Tool: What to Compare

Use an AI search competitor analysis to compare shortlist presence, recommendation reasons, cited sources, public proof, entity accuracy, and fix opportunities.

Diagnosis

1 focused guides

How to Fix Wrong Pricing in AI Answers

Fix stale or false pricing in AI answers by creating a canonical pricing source, dating volatile facts, correcting third parties, and monitoring buyer prompts.

Measurement

1 focused guides

Confidence Intervals for AI Visibility: Use With Care

Use confidence intervals cautiously in AI visibility studies by defining the sampling target, handling prompt dependence, repeats, classification error, and scope limits.

Services

3 focused guides

AI Visibility Audit Cost: Pricing and Scope Guide

Understand AI visibility audit pricing by prompt and market scope, platforms, repeats, human review, source diagnosis, reporting, and fix-plan depth.

AI Visibility Audit vs Monitoring: Which Do You Need?

Choose between an AI visibility audit and monitoring based on whether you need a baseline diagnosis, implementation feedback, change detection, or risk control.

AI Visibility Audit Deliverables: Complete Checklist

Use a complete deliverables checklist for methodology, prompt evidence, scorecards, competitor analysis, source gaps, errors, fixes, and handoff.

Buyer objections

The questions dashboards tend to avoid.

Method, synthetic prompts, pricing, execution, crawler evidence, and attribution determine whether AI visibility data is useful.

Industry playbooks

The prompt set changes with the market.

Playbook

AI Visibility Audit for B2B SaaS

A B2B SaaS AI visibility audit playbook for use-case prompts, product truth, comparison evidence, review sources, integrations, and pipeline measurement.

Playbook

AI Visibility Audit for Law Firms

A law firm AI visibility audit framework for practice-area prompts, jurisdictions, attorney entities, directories, review evidence, and advertising accuracy.

Playbook

AI Visibility Audit for Dentists

A dental practice AI visibility audit for local treatment prompts, practitioner entities, insurance facts, reviews, directories, accuracy, and patient privacy.

Playbook

AI Visibility Audits for SEO Agencies

An agency operating model for white-label AI visibility audits, prompt governance, evidence review, source repairs, reporting, and monthly client delivery.

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Find out whether AI recommends your company, who it recommends instead, and which evidence will change the answer.

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