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Build your “Skills”:
Getting your Content
Ready for Voice and Chatbots
Ahava Leibtag, President
Aha Media Group
2018 #MCSMN Annual Conference
November 15, 2018
@ahavaL | #MCSMN
Issues
1. Intent: What is the piece of information the person really
wants to know?
2. Context: What are they doing?
3. Assumptions: What does the VAD think we know?
4. Prosody: How many different pronunciations, rhythms and
tonality does the VAD need to anticipate?
5. Visual: There’s a complete lack of GUI
The Why & When of Voice
• Accuracy: Google’s voice recognition has reached 95%
accuracy, the same as a human listener.
• Frequency: More than 40% of adults use voice search at least
once per day.
• Some bad news: According to Voice Labs: Once a user enables
a voice app, there’s only a 3% change that they’ll be an active
user by the second week
http://www.ncvs.org/ncvs/tutorials/voiceprod/tutorial/quality.html
https://www.kleinerperkins.com/perspectives/internet-trends-report-2017
https://edit.co.uk/blog/locationworld-2016/
@ahavaL | #MCSMN
TSRL: Typing, Speaking, Reading, Listening
Type: 40 WPM
Speak: 150 WPM
Read: 250 WPM
Listen: 130 WPM
INPUT
OUTPUT
@ahavaL | #MCSMN
Capital One Alexa Skill
Web MobileSearch Social Voice/
Conversational
AI
20 years, 5 waves of digital disruption
@ahavaL | #MCSMN
Source: Google
@ahavaL | #MCSMN
What problems could we solve?
{ APIs }
User Needs Device
Limitations
Available DataContext
Voice 101
Vocabulary
• Virtual assistant: A cloud-based service that understands
voice commands and completes tasks
• Apps: Third-party applications called “skills” or “actions” that
help virtual assistants
The Big 4 Assistants and Their Search Engines
@ahavaL | #MCSMN
Voice 201
@ahavaL | #MCSMN
Front end/Back end
Content/SEO considerations
Keyword research
Questions and answers
Featured snippets
Context
Conversational tones
Dialects
Length
Back-end considerations
Structured data
(www.schema.org)
Speed and security
(HTTPHTTPS)
Mobile optimization
Best practices for SEO
@ahavaL | #MCSMN
SEO
Content that ranks highly in
desktop search is also very likely to
be used as a voice search answer.
75% of voice search results are
from the top 3 desktop results.
Source: https://backlinko.com/voice-search-seo-study
Entity
Authority:
Authoritative
domains tend
to produce
more voice
search results
Source: https://backlinko.com/voice-search-seo-study
@ahavaL | #MCSMN
Where do answers come from?
Google: Uses answers from featured snippets at top of search
results
@ahavaL | #MCSMN
@ahavaL | #MCSMN
@ahavaL | #MCSMN
Keyword Research
1. Long tail keywords are very important
2. Look at competitors whose content is inside of featured snippets
3. Think about keywords in terms of:
• When?
• How?
• What?
• Who?
Questions and Answers
Answer
questions
with your
content
Source: Google
@ahavaL | #MCSMN
@ahavaL | #MCSMN
@ahavaL | #MCSMN
Context
A linguistic lesson
All language is contextual.
@ahavaL | #MCSMN
@ahavaL | #MCSMN
Conversational
Managing Utterances
Skill Building
“Alexa, ask Northwell for the wait time at Huntington Hospital.”
Speech pattern recognition
• Regional accents
• Phrasing
• Prosody
• Pronunciation
@ahavaL | #MCSMN
Length
The average
voice
search
result is
written at a
9th grade
level
Source: https://backlinko.com/voice-search-seo-study
@ahavaL | #MCSMN
Voice search
prefers
concise
answers, the
average
response is 29
words long
Source: https://backlinko.com/voice-search-seo-study
@ahavaL | #MCSMN
Your content considerations
• SEO: You must focus on structured content that communicates
meta data to the search engines
• Write the way people talk: Think conversationally but still on-point
for your brand (for your answers, not their questions)
• Formulation: Context needs to be paramount
• Length: It has to be short and quick, or it won’t work in a voice
world
• Elocution: Need to think about how people actually speak
• Information satisfaction: Did the user get the information they
wanted?
Source: https://medium.com/swlh/how-to-prepare-your-website-for-
voice-search-2e35f0c3d290
@ahavaL | #MCSMN
Voice 301
Schema and Markup
Schema
helps search
engines
know when
to serve
your
answers
Source: https://backlinko.com/voice-search-seo-study
@ahavaL | #MCSMN
Why structured data?
1. Hello. It’s the future.
2. Communicate key information with search engines
3. Boost content visibility
4. Reach target audiences
5. Use can also now use the markup “speakable”
Source: Search Engine Land, Why does structured data matter for SEO? 10/19/18
@ahavaL | #MCSMN
Follow accessibility guidelines
Final checklist for voice
Content/SEO considerations
Questions and answers
Featured snippet
Write conversationally
Consider the way people
speak regionally
Keep it short
Think context
Back-end technical
considerations
Structured data
(www.schema.org)
Speed and security
(HTTPHTTPS)
Mobile optimization
Follow best practices for
SEO
@ahavaL | #MCSMN
Chatbots
Chatbot Flows
• The Golden Path (The Happy Path): the designed intent or the
main purposes of your product
• Error Paths: Can the bot recover when it doesn’t understand or
receive input?
• Escalate to Customer support: Should a human agent take
over?
• Linking to Accounts and Other Platforms: How do you need to
integrate with other services? Examples include purchase, add
to shopping list, message someone, call someone
@ahavaL | #MCSMN
@ahavaL | #MCSMN
What do I
want?
Error Paths
Other
services
Human?
Other Chatbot Considerations
• Use chunking to aid comprehension
• Use shorter responses
• You don’t want to ask a question where someone can say no
• Quick replies: buttons at the end that anticipate what the
user may want
• Take advantage of web links
@ahavaL | #MCSMN
Business considerations
1. Is our audience typically made up of early adopters?
2. Do we make our content experience valuable and
contextually relevant to users?
3. Do we know what to expect from our efforts and how will
we evaluate those successes?
Source: https://contentmarketinginstitute.com/2018/10/voice-activated-technology/
EXAMPLES
Health Guidance by VOICE
Video Link: https://www.dropbox.com/s/w9xcxakwgahxmvv/Alexa_MC_FirstAid_Burn.mp4?dl=0@ahavaL | #MCSMN
Health Guidance by CHAT BOT
MEET MOLLY…
Molly is a nurse avatar developed
by Sensely ― an empathy-first
patient engagement platform.
@ahavaL | #MCSMN
More About Molly
Molly leverages Mayo Clinic
content to assess patients and then
direct them to the most
appropriate level of care such as:
– Self care
– Clinical advice
– Scheduling an appointment
– Nurse line (telephonic)
– ER direction
@ahavaL | #MCSMN
@ahavaL | #MCSMN
@ahavaL | #MCSMN
@ahavaL | #MCSMN
www.ahamediagroup.com
@ahavaL | #MCSMN
Thank you
Ahava Leibtag
Founder & President
ahava@ahamediagroup.com
Alexa, are there
any questions for me?

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Build your "Skills": Getting your Content Ready for Voice and Chatbots

  • 1. Build your “Skills”: Getting your Content Ready for Voice and Chatbots Ahava Leibtag, President Aha Media Group 2018 #MCSMN Annual Conference November 15, 2018
  • 3. Issues 1. Intent: What is the piece of information the person really wants to know? 2. Context: What are they doing? 3. Assumptions: What does the VAD think we know? 4. Prosody: How many different pronunciations, rhythms and tonality does the VAD need to anticipate? 5. Visual: There’s a complete lack of GUI
  • 4. The Why & When of Voice • Accuracy: Google’s voice recognition has reached 95% accuracy, the same as a human listener. • Frequency: More than 40% of adults use voice search at least once per day. • Some bad news: According to Voice Labs: Once a user enables a voice app, there’s only a 3% change that they’ll be an active user by the second week http://www.ncvs.org/ncvs/tutorials/voiceprod/tutorial/quality.html https://www.kleinerperkins.com/perspectives/internet-trends-report-2017 https://edit.co.uk/blog/locationworld-2016/ @ahavaL | #MCSMN
  • 5. TSRL: Typing, Speaking, Reading, Listening Type: 40 WPM Speak: 150 WPM Read: 250 WPM Listen: 130 WPM INPUT OUTPUT @ahavaL | #MCSMN
  • 7.
  • 8.
  • 9. Web MobileSearch Social Voice/ Conversational AI 20 years, 5 waves of digital disruption @ahavaL | #MCSMN
  • 11. What problems could we solve? { APIs } User Needs Device Limitations Available DataContext
  • 13. Vocabulary • Virtual assistant: A cloud-based service that understands voice commands and completes tasks • Apps: Third-party applications called “skills” or “actions” that help virtual assistants
  • 14. The Big 4 Assistants and Their Search Engines @ahavaL | #MCSMN
  • 17. Front end/Back end Content/SEO considerations Keyword research Questions and answers Featured snippets Context Conversational tones Dialects Length Back-end considerations Structured data (www.schema.org) Speed and security (HTTPHTTPS) Mobile optimization Best practices for SEO @ahavaL | #MCSMN
  • 18. SEO
  • 19. Content that ranks highly in desktop search is also very likely to be used as a voice search answer. 75% of voice search results are from the top 3 desktop results. Source: https://backlinko.com/voice-search-seo-study
  • 20. Entity Authority: Authoritative domains tend to produce more voice search results Source: https://backlinko.com/voice-search-seo-study @ahavaL | #MCSMN
  • 21. Where do answers come from? Google: Uses answers from featured snippets at top of search results @ahavaL | #MCSMN
  • 24. Keyword Research 1. Long tail keywords are very important 2. Look at competitors whose content is inside of featured snippets 3. Think about keywords in terms of: • When? • How? • What? • Who?
  • 30. A linguistic lesson All language is contextual. @ahavaL | #MCSMN
  • 33. Managing Utterances Skill Building “Alexa, ask Northwell for the wait time at Huntington Hospital.”
  • 34. Speech pattern recognition • Regional accents • Phrasing • Prosody • Pronunciation @ahavaL | #MCSMN
  • 36. The average voice search result is written at a 9th grade level Source: https://backlinko.com/voice-search-seo-study @ahavaL | #MCSMN
  • 37. Voice search prefers concise answers, the average response is 29 words long Source: https://backlinko.com/voice-search-seo-study @ahavaL | #MCSMN
  • 38. Your content considerations • SEO: You must focus on structured content that communicates meta data to the search engines • Write the way people talk: Think conversationally but still on-point for your brand (for your answers, not their questions) • Formulation: Context needs to be paramount • Length: It has to be short and quick, or it won’t work in a voice world • Elocution: Need to think about how people actually speak • Information satisfaction: Did the user get the information they wanted? Source: https://medium.com/swlh/how-to-prepare-your-website-for- voice-search-2e35f0c3d290 @ahavaL | #MCSMN
  • 41. Schema helps search engines know when to serve your answers Source: https://backlinko.com/voice-search-seo-study @ahavaL | #MCSMN
  • 42. Why structured data? 1. Hello. It’s the future. 2. Communicate key information with search engines 3. Boost content visibility 4. Reach target audiences 5. Use can also now use the markup “speakable” Source: Search Engine Land, Why does structured data matter for SEO? 10/19/18 @ahavaL | #MCSMN
  • 44. Final checklist for voice Content/SEO considerations Questions and answers Featured snippet Write conversationally Consider the way people speak regionally Keep it short Think context Back-end technical considerations Structured data (www.schema.org) Speed and security (HTTPHTTPS) Mobile optimization Follow best practices for SEO @ahavaL | #MCSMN
  • 46. Chatbot Flows • The Golden Path (The Happy Path): the designed intent or the main purposes of your product • Error Paths: Can the bot recover when it doesn’t understand or receive input? • Escalate to Customer support: Should a human agent take over? • Linking to Accounts and Other Platforms: How do you need to integrate with other services? Examples include purchase, add to shopping list, message someone, call someone @ahavaL | #MCSMN
  • 47. @ahavaL | #MCSMN What do I want? Error Paths Other services Human?
  • 48. Other Chatbot Considerations • Use chunking to aid comprehension • Use shorter responses • You don’t want to ask a question where someone can say no • Quick replies: buttons at the end that anticipate what the user may want • Take advantage of web links @ahavaL | #MCSMN
  • 49. Business considerations 1. Is our audience typically made up of early adopters? 2. Do we make our content experience valuable and contextually relevant to users? 3. Do we know what to expect from our efforts and how will we evaluate those successes? Source: https://contentmarketinginstitute.com/2018/10/voice-activated-technology/
  • 51. Health Guidance by VOICE Video Link: https://www.dropbox.com/s/w9xcxakwgahxmvv/Alexa_MC_FirstAid_Burn.mp4?dl=0@ahavaL | #MCSMN
  • 52. Health Guidance by CHAT BOT MEET MOLLY… Molly is a nurse avatar developed by Sensely ― an empathy-first patient engagement platform. @ahavaL | #MCSMN
  • 53. More About Molly Molly leverages Mayo Clinic content to assess patients and then direct them to the most appropriate level of care such as: – Self care – Clinical advice – Scheduling an appointment – Nurse line (telephonic) – ER direction @ahavaL | #MCSMN
  • 58. Thank you Ahava Leibtag Founder & President ahava@ahamediagroup.com Alexa, are there any questions for me?

Hinweis der Redaktion

  1. Capture long-tail keywords, make it easy for the search engines to find natural language questions and answers
  2. Guidelines for adding structured data to the site
  3. Key message: Back to the Amazon Alexa skill – here’s a brief video to help you better understand how it works! https://www.dropbox.com/s/w9xcxakwgahxmvv/Alexa_MC_FirstAid_Burn.mp4?dl=0
  4. Key Messages: Now, for the chat bot solution from Mayo Clinic and Sensely… Mayo Clinic recognized that there are many moments where people may need NON-EMERGENT health guidance but who may not have a voice-enabled device. So, to round out the opportunity to reach people WHEN and WHERE they need it most, we decided to collaborate with SENSELY. Sensely intelligently connects people with clinical advice and services, enhancing access without compromising empathy.
  5. Key Messages: The roots of the Sensely / Molly offering are in the self-service triage algorithms that were developed by – and have been in practice by -- Mayo Clinic (primary care) physicians and nurses for the past 15+ years. The solutions offers PERSONALIZED QUESTIONS AND CONTENT based on user-reported data inputs. All of the assets are structured to allow for flexible use and multi-channel delivery.