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.
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.
Run the free baselineProof 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, which templates to use, and how benchmarks will be governed.
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.
Citation gap calculator
Estimate whether competitor, third-party, or wrong sources explain why AI answers cite others.
Templates
Copy prompt ledgers, source maps, report outlines, and outreach packets.
Reports
Evidence-first research on AI visibility statistics, benchmarks, citations, and AI search market shifts.
Benchmarks
The public benchmark method, seed segments, source taxonomy, and caveats.
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
11 focused guides
What should an agency AEO audit template include?
A practical AEO audit checklist template for agencies that need a repeatable client scope, evidence fields, review gates, and delivery boundaries.
What should an AI visibility client report template include?
A client-ready AI visibility report template for explaining prompt evidence, source gaps, wrong facts, competitor visibility, limits, and next steps.
How should agencies structure a white-label AI visibility report template?
A white-label AI visibility report template for agencies that need branded client delivery without hiding evidence, methodology, or limits.
White-Label AI Visibility Reports: Agency Guide
Build a credible white-label AI visibility report with reproducible prompts, source evidence, client-ready findings, and fix tasks your agency can own.
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.
AI Visibility Reports Clients Can Understand
Present AI visibility findings with a decision-first executive summary, inspectable prompt evidence, clear uncertainty, and a fix plan clients can approve.
How to Price AI Visibility Services
Price AI visibility audits, implementation, and monitoring around research scope, review labor, evidence complexity, and measurable client deliverables.
AEO Client Onboarding Checklist for Agencies
Onboard AEO clients with the market, buyer, competitor, platform, access, evidence, approval, and measurement inputs needed for a defensible audit.
AI Visibility Sales Audit: Prospecting Method
Create a concise AI visibility sales audit with real buyer prompts, full answer evidence, honest scope, and a clear path to a paid diagnostic engagement.
Monthly AI Visibility Reporting That Explains Change
Build monthly AI visibility reports that preserve a stable baseline, explain prompt and source changes, track fixes, and avoid false precision.
How to Prove AI Visibility ROI Without Inventing It
Measure AI visibility ROI with a chain from shipped evidence improvements to persistent recommendations, assisted visits, qualified demand, and revenue.
Tools
9 focused guides
AI Visibility Checker: Test Your Brand Free
Run a free AI visibility check, then learn how to judge recommendation coverage, competitor share, citations, answer errors, and score confidence.
AI Citation Checker: Find the Sources Behind Answers
Use an AI citation checker to map owned and competitor sources, verify claim support, find missing-source patterns, and avoid confusing citations with recommendations.
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.
Perplexity Visibility Checker: Answers and Sources
Check Perplexity visibility by testing buyer prompts, inspecting citations, comparing competitors, verifying claims, and tracking repeatable source gaps.
Gemini Visibility Checker: Test Brand Recommendations
Check Gemini brand visibility with buyer-intent prompts, recommendation classifications, competitor reasons, source review, accuracy checks, 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 Share of Voice Checker: Fair Measurement
Calculate AI share of voice with a fixed buyer-prompt set, clear brand roles, competitor comparisons, weighting rules, repeat tests, and transparent limits.
ChatGPT Recommendation Checker for Businesses
Check ChatGPT recommendations with realistic purchase prompts, competitor shortlists, answer reasons, source evidence, accuracy review, and repeat testing.
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
9 focused guides
Why Doesn't ChatGPT Mention My Business?
Diagnose why ChatGPT omits your business by checking prompt fit, entity clarity, category evidence, competitor proof, source gaps, and answer stability.
ChatGPT Recommends My Competitor, Not Me: Fix It
Compare the recommendation reason, product truth, source evidence, category inclusion, and entity accuracy when ChatGPT chooses a competitor.
Why Perplexity Cites Competitors Instead of You
Diagnose Perplexity citation gaps by mapping claims, source roles, page accessibility, evidence specificity, category inclusion, and competitor advantages.
How to Correct Wrong Business Information in ChatGPT
Trace wrong ChatGPT business facts to primary and third-party sources, align entity data, publish clear evidence, document corrections, and retest safely.
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.
How to Get Your Business Recommended by ChatGPT
Improve ChatGPT recommendation visibility with clear category fit, decision evidence, current entity data, independent corroboration, and controlled retesting.
How to Get Cited by Perplexity: Evidence-First Guide
Earn Perplexity citations with accessible pages, direct answers, original evidence, clear sourcing, current facts, strong internal links, and relevant corroboration.
How to Appear in Google AI Overviews: Practical Guide
Improve eligibility for Google AI Overviews with normal Search access, snippet eligibility, direct useful answers, strong evidence, internal links, and source monitoring.
Why AI Cites Reddit Instead of Your Website
Learn when Reddit supplies lived experience and comparisons your website lacks, then improve first-party evidence without faking community proof.
Measurement
10 focused guides
What prompt template should you use for an AI visibility audit?
Use this AI visibility prompt template to build buyer-intent prompts, record results in a prompt ledger, and retest AI answer visibility over time.
Why AI Visibility Scores Change: A Diagnostic Guide
Explain AI visibility score changes by separating real recommendation movement from prompt edits, platform variability, source changes, and classifier drift.
How Many Prompts Does an AI Visibility Audit Need?
Choose AI audit prompt count by buyer-decision coverage, segment diversity, platform scope, repeat runs, and the confidence needed for the decision.
How Often Should You Run an AI Visibility Audit?
Choose an AI audit cadence based on business changes, source volatility, fix cycles, answer stability, risk, and the decisions the report must support.
How to Measure AI Share of Voice
Calculate AI share of voice with a defined recommendation opportunity, fixed competitor set, buyer-prompt coverage, transparent weighting, and stability checks.
AI Visibility Score vs SEO Rankings: Key Differences
Compare AI visibility scores and traditional rankings by unit of analysis, variability, source behavior, commercial meaning, and the decisions each metric supports.
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.
How to Build a Buyer-Intent Prompt Set for AI Audits
Build a prompt set from real buyers, decisions, constraints, objections, comparisons, and sales language while avoiding leading or synthetic questions.
How to Test AI Recommendation Stability
Test AI recommendation stability with controlled repeats, prompt families, agreement metrics, source review, and rules for persistent versus volatile outcomes.
AI Visibility Baseline: A Reproducible Method
Create a reproducible AI visibility baseline with approved market scope, buyer prompts, competitors, classifications, repeat rules, evidence, and confidence limits.
Fixes
10 focused guides
How do you turn an AI visibility audit into a fix plan template?
Use this AI visibility fix plan template to convert audit findings into prioritized repair tasks for content, SEO, PR, and web teams.
AI Search Source Gap Analysis: A Practical Method
Map the pages AI answers use, classify their evidence roles, compare competitor inclusion, and turn recurring source gaps into prioritized fixes.
How to Create a Brand vs Competitor Page
Build a useful comparison page with buyer fit, current evidence, meaningful tradeoffs, dated facts, clear methodology, and fair competitor claims.
Best X for Y Content: Earn Buyer Trust
Create high-intent best-for pages with a defined buyer, transparent inclusion criteria, tested evidence, honest tradeoffs, and useful recommendations.
Third-Party Directory Correction for AI Search
Find and correct stale business directories, profiles, categories, locations, services, and pricing that can feed wrong AI-generated answers.
FAQ Schema for AI Search: What It Can and Cannot Do
Use visible answer-first FAQs and valid FAQPage markup without treating schema as a guaranteed AI citation or recommendation shortcut.
Comparison Content for AI Citations: Publishing Guide
Publish evidence-led comparison content with clear buyer fit, current primary facts, useful tables, honest tradeoffs, methodology, and maintenance.
How to Earn Mentions on Industry Roundups
Find relevant roundups, understand inclusion criteria, close real evidence gaps, pitch useful proof, disclose relationships, and monitor accurate mentions.
AI Citation Recovery Plan for Lost Sources
Diagnose lost AI citations by checking page access, content changes, source replacement, answer roles, competitor evidence, and prompt stability before repairing.
How to Audit AI-Generated Brand Errors
Find, verify, prioritize, trace, correct, and monitor AI-generated brand errors across products, pricing, locations, policies, reputation, and identity.
Services
9 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 Agency vs Software: How to Choose
Compare AI visibility software and agencies by collection scale, strategy, human review, implementation ownership, speed, cost, and internal capability.
One-Time AI Visibility Audit: Scope and Outcomes
Learn when a one-time AI visibility audit is enough, what evidence and fixes it should deliver, and when ongoing monitoring becomes worthwhile.
Monthly AI Visibility Service: What You Should Get
Evaluate monthly AI visibility services by stable monitoring, human review, source and error alerts, implementation work, reporting, and retest accountability.
AI Visibility Audit Sample Report: What to Inspect
Evaluate an AI visibility audit sample by checking methodology, raw prompt evidence, competitor share, sources, errors, confidence, and actionable fixes.
AI Visibility Audit Deliverables: Complete Checklist
Use a complete deliverables checklist for methodology, prompt evidence, scorecards, competitor analysis, source gaps, errors, fixes, and handoff.
AI Visibility Consultant vs Agency: Which Fits?
Choose an AI visibility consultant or agency by strategy depth, implementation breadth, senior attention, speed, governance, budget, and internal team capacity.
AI Visibility Audit RFP Checklist for Buyers
Use an RFP checklist covering scope, prompts, platforms, raw evidence, human review, sources, errors, security, deliverables, pricing, and ownership.
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.
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.
PlaybookAI 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.
PlaybookAI Visibility Audit for Dentists
A dental practice AI visibility audit for local treatment prompts, practitioner entities, insurance facts, reviews, directories, accuracy, and patient privacy.
PlaybookAI 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.
PlaybookAI Visibility Audit for Webflow Agencies
A Webflow agency AI visibility playbook for service fit, budgets, industries, partner profiles, case evidence, technical proof, and comparison prompts.