Become the Brand AI Engines Find, Cite, and Recommend First
Track how AI engines understand, mention, and cite your brand across AI answer engines. Measure visibility gaps, strengthen the right signals, and your rankings to stay visible at the top.
“In just half of them’s money in one of business or than 3,4,5 more of them of thing” — Paul Guzman, Owner – Guzman Office Supplies
Three connected steps to AI visibility
See where your brand stands in AI search
Get a clear snapshot of how your website performs across AI discovery, answer readiness, and brand visibility.
AEO and GEO, graded A to F.
Nine retrieval signals scored, from schema to FAQ readiness.
ChatGPT, Claude, and Gemini scored separately.
Which crawlers actually reach you.
Five brand-presence signals scored.
How each model understands who you are.
Share of voice and differentiation vs rivals.
The real response each engine gave, with competitors and sources.
Get the content actions needed to rank in AI answers
The audit shows what to create, fix, or restructure so AI engines can better understand and recommend your brand.
Find missing FAQs, guides, comparisons, or product or category content.
Get briefs with H1s, H2s, FAQs, schema, and answer-first sections.
Know questions that match how buyers ask AI tools.
Know where to add FAQ, Article, Product, and Organization schema.
Add author details, citations, proof points, and brand mentions.
See what to fix first based on impact, effort, and AI opportunity.
Add FAQ sections and FAQPage schema
Lead posts with direct, answer-first intros
Strengthen brand entity and Organization schema
Add author credentials and external citations
Monitor your AI rankings over time
AI visibility changes as engines update answers, competitors publish content, and buyer questions evolve. We help you track what is improving, what is dropping, and what needs action.
Monitor how your brand appears across ChatGPT, Gemini, Perplexity, and Google AI.
See when AI engines cite, mention, or stop showing your brand.
Track which competitors are gaining visibility in AI answers.
Get alerts when your AEO or GEO scores rise, drop, or need attention.
Track visibility for the buyer questions that matter most.
See what changed after fixes, content updates, and schema improvements.
Find your AI visibility
gaps in one audit
See ConversionBox in action on your own catalog.
Real Results From Brands With Complex Catalogs
A look at what changed once these teams put discovery and conversion on one platform.
Workwear brand cut returns with guided sizing
fewer returns
faster discovery
more size-accurate orders
Size confusion was driving returns and slowing the buying journey. An AI shopping assistant added real-time sizing and fit guidance, so shoppers found the right gear faster and kept more of what they ordered.
Read Case Study →
Supplement brand consolidated tools and cut cost
lower subscription cost
faster product indexing
better site performance
A fast-growing catalog meant juggling separate search and recommendation tools. Moving search, recommendations, and merchandising onto one platform lowered cost and kept the catalog fresh for shoppers.
Read Case Study →
Quality Bearing Online Supercharged High-SKU Parts Discoverability
Faster product find time
Better search engagement
Less zero-result searches
For most manufacturing, mechanical, and industrial parts businesses, digital product discovery is one of the hardest parts of online commerce.
Read Case Study →Frequently
Asked Questions
The score combines AEO signals, GEO signals, brand visibility, AI engine mentions, citation presence, competitor comparison, and content readiness. It shows how prepared your website is to be understood, cited, and recommended in AI answers.
Buyers are using ChatGPT, Gemini, Perplexity, Claude, and Google AI to compare solutions before they visit a website. If your brand is missing from those answers, competitors can shape the decision before you get the click.
ConversionBox analyzes how AI engines understand your brand, where your website is cited or missed, which competitors appear instead, and what content or schema signals are weak. It then turns those gaps into clear actions your team can fix.
AI visibility should be checked regularly because AI answers change as engines update, competitors publish new content, and buyer questions evolve. Ongoing monitoring helps you catch drops, track improvements, and keep your brand visible.
Yes. ConversionBox tracks changes in AI mentions, citations, prompt-level visibility, competitor movement, and score trends over time. This helps your team see what improved after content, schema, or trust-signal updates go live.