Welcome back to Module 2 of the AIVO GEO Certification.
In Module 1, we covered why AI visibility matters.
Now we will explore how AI search systems work - because understanding the mechanics helps inform our optimization approach.
DISCLAIMER: The scenarios, examples, and case studies presented in this course are illustrative and designed for educational purposes.
Individual results vary significantly based on market conditions, implementation quality, competitive landscape, and numerous other factors.
AppWT LLC makes no guarantee of specific outcomes from applying these techniques.
Past performance of any strategy does not guarantee future results.
Consult with qualified professionals before making significant business decisions.
As a reminder, the information in this module is educational.
The AI landscape evolves rapidly, and specific platform behaviors may change.
Results from implementing these strategies vary based on many factors.
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
- 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.
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.
KNOWLEDGE BASES - Wikipedia, Wikidata - Google Knowledge Graph - Business directories (Yelp, Yellow Pages) - Government databases 3.
USER-GENERATED CONTENT - Reviews on Google, Yelp, Facebook - Social media mentions - Forum discussions - Q and A sites 4.
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.
They try to build a picture of what a business IS.
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?
I am in Chicago and want something authentic.
- 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?
To: Does AI have enough quality information to understand and potentially recommend this business?
In AI and knowledge graph terms, businesses are understood as ENTITIES.
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.
Based on industry observation and research, AI systems appear to consider: 1.
RELEVANCE - Does this match what the user is asking?
2.
AUTHORITY - Is this an established, legitimate business?
3.
REPUTATION - What do reviews and mentions indicate?
4.
COMPREHENSIVENESS - How complete is the available information?
5.
FRESHNESS - Is the information current?
Note: Exact algorithms are proprietary and continuously evolving.
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.
Individual results vary significantly based on market conditions, implementation quality, competitive landscape, and numerous other factors.
AppWT LLC makes no guarantee of specific outcomes from applying these techniques.
Past performance of any strategy does not guarantee future results.
Consult with qualified professionals before making significant business decisions.
Remember, this is an evolving field.
Results from these strategies vary significantly based on your market, competition, implementation, and factors outside your control.
See course materials for complete disclaimer.
Key takeaways from Module 2: 1.
AI search focuses on understanding meaning, not just keywords 2.
Businesses are understood as ENTITIES with attributes 3.
Multiple factors may influence AI recommendations 4.
This is an emerging opportunity worth exploring In Module 3, we will build your Local SEO foundation.