Guides that support the AnswerTrace report
The landing page is optimized for conversion. This section is where we keep the deeper educational material on AEO, AI recommendation strategy, and engine-specific tactics.
If you want the company and product context first, read About AnswerTrace or How AnswerTrace works.
How AnswerTrace works
How the full loop works: measure, diagnose, act, attribute, and how attribution traces all the way from AI query to revenue.
Open resource →What is Answer Engine Optimization (AEO)?
Start here if you want the clearest definition of AEO and why it matters for AI-generated recommendations.
Open resource →AI SEO: how to rank in ChatGPT and AI answers
What AI SEO means, how it differs from traditional SEO, and which signals drive brand recommendations in AI-generated answers.
Open resource →LLM visibility: how brands win AI recommendations
What LLM visibility is, why it matters more than search rank for buying decisions, and how to measure and improve it.
Open resource →Why your brand is not showing in AI answers
The specific reasons brands miss AI recommendations, how to diagnose your gap, and what to fix first.
Open resource →AEO vs SEO
Understand where AEO overlaps with SEO and where the two strategies diverge.
Open resource →How to improve visibility in ChatGPT
A practical overview of the content, schema, and citation signals that help brands get named.
Open resource →Getting recommended in AI answers for B2B SaaS
A focused page for SaaS teams trying to win category, comparison, and shortlist prompts across AI engines.
Open resource →Getting recommended in AI answers for D2C and ecommerce
A focused page for consumer brands competing in shopping, review, and comparison prompts.
Open resource →AEO software for agency teams
How digital agency teams use AnswerTrace to help clients get named in AI answers, with measurement, prioritization, and client reporting built in.
Open resource →What We've Learned About How AI Engines Choose Brands
Patterns from measuring thousands of queries across ChatGPT, Google AI, Perplexity, and Claude. What actually drives AI recommendation rates, and what doesn't.
Open resource →How AnswerTrace works
How the full loop works: measure, diagnose, act, attribute, and how attribution traces all the way from AI query to revenue.
Open resource →What is Answer Engine Optimization (AEO)?
Start here if you want the clearest definition of AEO and why it matters for AI-generated recommendations.
Open resource →AI SEO: how to rank in ChatGPT and AI answers
What AI SEO means, how it differs from traditional SEO, and which signals drive brand recommendations in AI-generated answers.
Open resource →LLM visibility: how brands win AI recommendations
What LLM visibility is, why it matters more than search rank for buying decisions, and how to measure and improve it.
Open resource →Why your brand is not showing in AI answers
The specific reasons brands miss AI recommendations, how to diagnose your gap, and what to fix first.
Open resource →AEO vs SEO
Understand where AEO overlaps with SEO and where the two strategies diverge.
Open resource →How to improve visibility in ChatGPT
A practical overview of the content, schema, and citation signals that help brands get named.
Open resource →Getting recommended in AI answers for B2B SaaS
A focused page for SaaS teams trying to win category, comparison, and shortlist prompts across AI engines.
Open resource →Getting recommended in AI answers for D2C and ecommerce
A focused page for consumer brands competing in shopping, review, and comparison prompts.
Open resource →AEO software for agency teams
How digital agency teams use AnswerTrace to help clients get named in AI answers, with measurement, prioritization, and client reporting built in.
Open resource →What We've Learned About How AI Engines Choose Brands
Patterns from measuring thousands of queries across ChatGPT, Google AI, Perplexity, and Claude. What actually drives AI recommendation rates, and what doesn't.
Open resource →