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Welcome back to Module 2 of the AIVO GEO
Certification.

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In Module 1, we covered why AI visibility
matters.

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Now we will explore how AI search systems
work - because understanding the mechanics helps inform our optimization approach.

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DISCLAIMER: The scenarios, examples, and
case studies presented in this course are illustrative and designed for educational purposes.

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Individual results vary significantly
based on market conditions, implementation quality, competitive landscape, and numerous other factors.

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AppWT LLC makes no guarantee of specific
outcomes from applying these techniques.

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Past performance of any strategy does not
guarantee future results.

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Consult with qualified professionals
before making significant business decisions.

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As a reminder, the information in this
module is educational.

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The AI landscape evolves rapidly, and
specific platform behaviors may change.

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Results from implementing these strategies
vary based on many factors.

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There are several AI systems where
business visibility matters: CHATGPT AND GPT-4: - Large and growing user base - People frequently ask for business recommendations - Information comes from web crawling and training data - Capabilities continue to evolve GOOGLE AI OVERVIEWS (SGE): - Appearing on an increasing number of Google searches - Provides direct answers instead of just links - Draws from Google Business Profiles, websites, reviews - Represents an evolution in Google search PERPLEXITY AI

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- Growing AI search platform - Cites
sources (potential visibility opportunity) - Real-time web search integration - Popular with research-focused users VOICE ASSISTANTS: - Alexa, Siri, Google Assistant - Typically provide single answers rather than lists - Local queries are common - Shopping and service recommendations Understanding how AI gathers information can inform our approach: 1.

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WEB CRAWLING - AI systems crawl web pages
- They extract entities (businesses, people, places) - Structured data helps them understand content - Fresh content may be weighted more heavily 2.

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KNOWLEDGE BASES - Wikipedia, Wikidata -
Google Knowledge Graph - Business directories (Yelp, Yellow Pages) - Government databases 3.

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USER-GENERATED CONTENT - Reviews on
Google, Yelp, Facebook - Social media mentions - Forum discussions - Q and A sites 4.

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REAL-TIME SEARCH - Some AI systems search
the live web - Current hours, prices, availability - Recent news and updates KEY INSIGHT: Modern AI systems aim to understand MEANING and context, not just match keywords.

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They try to build a picture of what a
business IS.

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Understanding this distinction is
important: KEYWORD SEARCH (Traditional): - User types: best pizza Chicago - Search engine matches pages with those words - Ranking based on links, keywords, technical factors - User gets list of results to choose from SEMANTIC SEARCH (AI-Influenced): - User asks: Where should I get pizza tonight?

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I am in Chicago and want something
authentic.

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- AI tries to understand: location,
preferences, context - AI considers: reviews, authenticity mentions, hours, proximity - AI may provide specific recommendations with reasoning The strategic question shifts from: Do we have the right keywords?

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To: Does AI have enough quality
information to understand and potentially recommend this business?

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In AI and knowledge graph terms,
businesses are understood as ENTITIES.

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An entity typically has: - Name (exact,
consistent everywhere) - Type (Restaurant, Plumber, Dentist) - Location (address, service area) - Attributes (hours, payment methods, services) - Relationships (owner, staff, other locations) - Reputation (reviews, ratings, mentions) AIVO GEO strategies focus on ensuring AI has complete, accurate, and positive information about your client as an ENTITY.

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Based on industry observation and
research, AI systems appear to consider: 1.

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RELEVANCE - Does this match what the user
is asking?

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2.

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AUTHORITY - Is this an established,
legitimate business?

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3.

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REPUTATION - What do reviews and mentions
indicate?

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4.

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COMPREHENSIVENESS - How complete is the
available information?

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5.

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FRESHNESS - Is the information current?

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Note: Exact algorithms are proprietary and
continuously evolving.

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Why this is worth attention now: - Many
local businesses have not yet focused on AI visibility - The field is still emerging, creating early-mover opportunities - Businesses that build strong entity profiles now may benefit as AI search grows - The strategies also benefit traditional SEO DISCLAIMER: The scenarios, examples, and case studies presented in this course are illustrative and designed for educational purposes.

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Individual results vary significantly
based on market conditions, implementation quality, competitive landscape, and numerous other factors.

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AppWT LLC makes no guarantee of specific
outcomes from applying these techniques.

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Past performance of any strategy does not
guarantee future results.

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Consult with qualified professionals
before making significant business decisions.

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Remember, this is an evolving field.

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Results from these strategies vary
significantly based on your market, competition, implementation, and factors outside your control.

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See course materials for complete
disclaimer.

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Key takeaways from Module 2: 1.

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AI search focuses on understanding
meaning, not just keywords 2.

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Businesses are understood as ENTITIES with
attributes 3.

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Multiple factors may influence AI
recommendations 4.

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This is an emerging opportunity worth
exploring In Module 3, we will build your Local SEO foundation.

