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MASTER
CLASS
TORONTO, ON ~ APRIL 18 - 19, 2024
DIGIMARCONCANADA.CA | #DigiMarConCanada
Dale Bertrand
PRESIDENT
FIRE&SPARK
SEO for Revenue:
Grow Your Business,
Not Just Your Rankings
Dale Bertrand | Fire&Spark
SEO for Revenue
Grow Your Business, Not Just
Your Rankings
Hi.
My Background
● Intersection of technology and marketing
● Studied AI in graduate school
● Built a super computer for the NSA
● 15 years working on digital marketing strategy
● Founded Fire&Spark digital marketing agency
Clients
Stay Ahead of Search
Algorithm Changes
Google’s Shift to AI Algorithms
Rules based AI based
Web
Google’s AI
Search Engine
Keyword
Searches
Crawling Indexation
Search
Results
Prediction Machine
Google makes predictions
based on the intent behind
the query
Why is AI Better?
● Better results
● Learning algorithms
● Operates at scale
● Faster algorithm updates
● Trained by humans
How Does Google
Train Its AI?
Training Google’s AI
Identify Signals
Human Quality Raters
Training Google’s AI
Training Google’s AI
Monitor Search Behavior
Evolution of Search Algorithms
Early Search Engines
1. Find words on pages
2. Rank pages by Page Rank
1. Understand the intent behind the
keyword
2. Rank pages based on Google’s
understanding of intent
3. Learn from searchers’ interactions
with the search results
AI Search Engines
Early Search Engines AI Search Engines
18
SEO for Rankings
SEO for Revenue
What are the highest volume keywords?
What's our page load speed?
How will we track rankings?
How will we track sales?
What information do our best customers need?
What are the highest intent searches?
SEO Strategy Questions
Google SGE
Forces Driving Gen AI Search
Traditional Search
Technology
Google
LLMs are unreliable, inaccurate
and slow; Tech break throughs
uncertain
Business model reliant on search
advertising; Cautious approach
Gen AI Search
Consumer
Behavior
Search
Competitors
Unable to gain market
share with Gen AI engines
Consumer search inertia,
potential lack of interest
LLMs, RAG and hardware
are improving rapidly
Google is determined to
maintain market share
Offering compelling gen AI search
alternatives (E.g. Bing Chat, Perplexity.ai)
Consumers expect answers and search with
longer queries and conversational follow-up
SEO for Revenue
Search Behavior
SGE Rollout
Are queries getting longer?
Are consumers using LLMs for
conversational search?
Are consumers using alternative search
engines?
Have rankings factors changed?
How prominent are the organic results?
Do SGE features appear in Google?
What to Watch?
Expected Timeline
Impossible Probable
Probable Unlikely
Low
High
Low
Search
Behavior
Change
Generative AI
Features
High
End of
2024
End of
2025
How to Respond
Optimize for alternative
search engines
Shift to GEO strategies
Modern SEO
Optimize for alternative
search engines
Low
High
Low
Search
Behavior
Change
Generative AI
Features
High
Monitor Google Patent Filings
Follow Google’s patent filings here:
https://www.searchenginejournal.com/category/seo/google-patents/
Patent
US11769017B1
⬤ Generative AI
Search
⬤ Personalized
based on
context
Try Perplexity.ai
Determine Your Keyword Mix
Monitoring the
Impact of SGE
Monitoring SGE Results
⬤ Are your customers moving to chat
search?
⬤ Are words per query increasing?
⬤ What is your visibility in chat
search?
⬤ What share of chat search do your
competitors have?
⬤ Are you losing traffic to chat
search?
⬤ How is SGE traffic converting?
How to Evolve Your
SEO Strategy
SEO for Revenue
Search Behavior
SGE Rollout
Are queries getting longer?
Are consumers using LLMs for
conversational search?
Are consumers using alternative search
engines?
Have rankings factors changed?
How prominent are the organic results?
Do SGE features appear in Google?
What to Watch?
The Next 18 Months
Q1 2024 Q2 2024 Q3 2024 Q4 2024 Q1 2025 Q2 2025
Monitoring
Determine your
current mix of
keywords
(informational,
navigational,
product, etc)
Monitor your
SGE visibility
manually (by
query type) or
with a prompting
sheet
Start monitoring
for longer, more
complex queries
(monthly)
Monitor for
specific SGE
features that
appear for high-
value searches
Expand visibility
tracking to
leading gen AI
engines (Bing,
Perplexity,
Apple)
Adopt automated
SGE tracking
(record layout
and brand
visibility)
Gen AI Testing
Experiments:
Manual SGE
testing (by
query type)
Experiments:
Chatbot referral
tracking
Determine the
SGE features
that appear for
high-value
queries
Experiments:
Test GEO
ranking factors
with content
changes
Experiments:
Analyze server
logs for LLM
fetches
Experiments:
LLM + RAG
modeling
SEO Strategy
Integrate paid
and organic
analytics
Monitor LLM
visibility in
prompting sheet
Implement
structured data
for semantic
search
Refocus SEO
content on mid
and bottom of
funnel
Measure and
update CTR
model for top 10
positions
Implement
appropriate
content formats
and
optimizations
Large Language
Models
(ChatGPT)
Quick IQ Test
1+1 = ?
Large Language Models
AI for Search
Intent
38
39
40
Generate Converting Keywords
Analyzing
Search
Console
Click Data
Crafting CTAs
Craft Brewery Online Offers
Let’s take a quick break
Download my slides
dale@fireandspark.com
Four AI-driven
SEO Content
Recipes
AI-driven Content
• AI assisted copy and
visuals
• Conversion opportunities
• Intent targeted
Niche Buying
Guide
Q&A
Content
Comparison
Content
Niche
Calculator
SEO is Changing
55
Interested?
Email:
dale@fireandspark.com
SGE Risks and Opportunity Analysis
SEO for Revenue, Grow Your Business, Not Just Your Rankings - Dale Bertrand

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SEO for Revenue, Grow Your Business, Not Just Your Rankings - Dale Bertrand

  • 1. MASTER CLASS TORONTO, ON ~ APRIL 18 - 19, 2024 DIGIMARCONCANADA.CA | #DigiMarConCanada Dale Bertrand PRESIDENT FIRE&SPARK SEO for Revenue: Grow Your Business, Not Just Your Rankings
  • 2. Dale Bertrand | Fire&Spark SEO for Revenue Grow Your Business, Not Just Your Rankings
  • 3. Hi.
  • 4. My Background ● Intersection of technology and marketing ● Studied AI in graduate school ● Built a super computer for the NSA ● 15 years working on digital marketing strategy ● Founded Fire&Spark digital marketing agency Clients
  • 5. Stay Ahead of Search Algorithm Changes
  • 6.
  • 7. Google’s Shift to AI Algorithms Rules based AI based
  • 9.
  • 10. Prediction Machine Google makes predictions based on the intent behind the query
  • 11. Why is AI Better? ● Better results ● Learning algorithms ● Operates at scale ● Faster algorithm updates ● Trained by humans
  • 16. Evolution of Search Algorithms Early Search Engines 1. Find words on pages 2. Rank pages by Page Rank 1. Understand the intent behind the keyword 2. Rank pages based on Google’s understanding of intent 3. Learn from searchers’ interactions with the search results AI Search Engines
  • 17. Early Search Engines AI Search Engines
  • 18. 18
  • 19. SEO for Rankings SEO for Revenue What are the highest volume keywords? What's our page load speed? How will we track rankings? How will we track sales? What information do our best customers need? What are the highest intent searches? SEO Strategy Questions
  • 21.
  • 22. Forces Driving Gen AI Search Traditional Search Technology Google LLMs are unreliable, inaccurate and slow; Tech break throughs uncertain Business model reliant on search advertising; Cautious approach Gen AI Search Consumer Behavior Search Competitors Unable to gain market share with Gen AI engines Consumer search inertia, potential lack of interest LLMs, RAG and hardware are improving rapidly Google is determined to maintain market share Offering compelling gen AI search alternatives (E.g. Bing Chat, Perplexity.ai) Consumers expect answers and search with longer queries and conversational follow-up
  • 23. SEO for Revenue Search Behavior SGE Rollout Are queries getting longer? Are consumers using LLMs for conversational search? Are consumers using alternative search engines? Have rankings factors changed? How prominent are the organic results? Do SGE features appear in Google? What to Watch?
  • 24. Expected Timeline Impossible Probable Probable Unlikely Low High Low Search Behavior Change Generative AI Features High End of 2024 End of 2025
  • 25. How to Respond Optimize for alternative search engines Shift to GEO strategies Modern SEO Optimize for alternative search engines Low High Low Search Behavior Change Generative AI Features High
  • 26. Monitor Google Patent Filings Follow Google’s patent filings here: https://www.searchenginejournal.com/category/seo/google-patents/ Patent US11769017B1 ⬤ Generative AI Search ⬤ Personalized based on context
  • 30. Monitoring SGE Results ⬤ Are your customers moving to chat search? ⬤ Are words per query increasing? ⬤ What is your visibility in chat search? ⬤ What share of chat search do your competitors have? ⬤ Are you losing traffic to chat search? ⬤ How is SGE traffic converting?
  • 31. How to Evolve Your SEO Strategy
  • 32. SEO for Revenue Search Behavior SGE Rollout Are queries getting longer? Are consumers using LLMs for conversational search? Are consumers using alternative search engines? Have rankings factors changed? How prominent are the organic results? Do SGE features appear in Google? What to Watch?
  • 33. The Next 18 Months Q1 2024 Q2 2024 Q3 2024 Q4 2024 Q1 2025 Q2 2025 Monitoring Determine your current mix of keywords (informational, navigational, product, etc) Monitor your SGE visibility manually (by query type) or with a prompting sheet Start monitoring for longer, more complex queries (monthly) Monitor for specific SGE features that appear for high- value searches Expand visibility tracking to leading gen AI engines (Bing, Perplexity, Apple) Adopt automated SGE tracking (record layout and brand visibility) Gen AI Testing Experiments: Manual SGE testing (by query type) Experiments: Chatbot referral tracking Determine the SGE features that appear for high-value queries Experiments: Test GEO ranking factors with content changes Experiments: Analyze server logs for LLM fetches Experiments: LLM + RAG modeling SEO Strategy Integrate paid and organic analytics Monitor LLM visibility in prompting sheet Implement structured data for semantic search Refocus SEO content on mid and bottom of funnel Measure and update CTR model for top 10 positions Implement appropriate content formats and optimizations
  • 38. 38
  • 39. 39
  • 40. 40
  • 44.
  • 46.
  • 47. Let’s take a quick break Download my slides dale@fireandspark.com
  • 49. AI-driven Content • AI assisted copy and visuals • Conversion opportunities • Intent targeted
  • 55. 55