AI Visibility: Getting Foundin the Age of Answer Engines
AI Is Becoming the New Front Door to the Internet
AI-powered answer engines are rapidly changing how people discover brands, products, and services. According to McKinsey, around 50 % of consumers already use AI-powered search intentionally when researching or making purchase decisions.
The same research estimates that AI-driven discovery could influence up to $750 billion in consumer spending by 2028, as users increasingly rely on AI-generated summaries instead of traditional search results.
Why SEO Visibility Is No Longer Enough
Why You Should Enroll
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Learn how to make your brand visible in AI answers
with a hands-on AI visibility audit and action plan.
SESSION 1 - Foundations
Foundations & AI Visibility Audit
Session 1
1.1. The new discovery landscape – how AI is replacing traditional search journeys
1.2. SEO vs AEO vs GEO – what each approach actually delivers for visibility
1.3. How AI finds and evaluates content – the mechanics behind citations
1.4. Why rankings don’t equal visibility –understanding citation disconnects
1.5. Technical visibility foundations – making content machine-readable
1.6. AI-friendly content structures – formats generative systems prefer
1.7. Live AI visibility testing – checking real presence across answer engines
1.8. Visibility metrics that matter – mentions, context, and sentiment
1.9. Competitive benchmarking – identifying where others appear and you don’t
1.10. Prioritized gap identification – defining what to fix first
1.2. SEO vs AEO vs GEO – what each approach actually delivers for visibility
1.3. How AI finds and evaluates content – the mechanics behind citations
1.4. Why rankings don’t equal visibility –understanding citation disconnects
1.5. Technical visibility foundations – making content machine-readable
1.6. AI-friendly content structures – formats generative systems prefer
1.7. Live AI visibility testing – checking real presence across answer engines
1.8. Visibility metrics that matter – mentions, context, and sentiment
1.9. Competitive benchmarking – identifying where others appear and you don’t
1.10. Prioritized gap identification – defining what to fix first
SESSION 2 - OPTIMIZATION
Optimization, Content Strategy & AI Advertising
Session 2
2.1. Content gap categorization – identifying missing, weak, or outdated content
2.2. Targeted optimization strategies – matching problems to the right fixes
2.3. Citation-worthy content design – what makes AI choose one source
2.4. Using data and facts effectively – improving credibility and precision
2.5. Entity clarity and definitions – reducing AI confusion and errors
2.6. AI advertising fundamentals –understanding current and emerging formats
2.7. Ad-eligible content signals – what AI platforms are likely to promote
2.8. Paid AI visibility positioning – preparing assets for early experiments
2.9. Measurement frameworks – tracking AI share of voice and citations
2.10. 90-day action planning – turning insights into execution
Course Description
Who is this course for?
Resources
Em Blitstein
| Senior Content Marketing Manager at Sinch Mailgun
| Co-Founder at UpWise
| Co-Founder at UpWise
About EM
Em is a content writer and AI strategist based in Greenville SC, with 15+ years experience in the trenches studying the evolution of content and search in business.
With experience ranging from technical writing and QA to developing content programs at startups and leading content strategy for large organizations like Sinch Mailgun, she brings a wide range of tested knowledge to managing and developing content optimization and discoverability strategies and tools.
Em owns an independent consultancy, Em Blitstein, for AI search visibility, is a TEDx speaker sharing insights on using AI for research in art and culture, and is the Co-Founder of UpWise, an organization dedicated to supporting women in software engineering.



