Automating content creation for social media posting through Max AI assistant.
Description
iHomefinder is a real estate CRM and marketing system for real estate agents, teams, and agencies. This system allows real estate agents to save time and generate business opportunities thanks to marketing automation tools. Agents can use iHomefinder's intelligent tools to manage lead generation and digital marketing campaigns.
Role and Team
Sr Product Designer
Type
Product Design (Real Estate)
Client
iHomefinder
Date
2025
Problem
Real estate agents often struggle to maintain a consistent and engaging presence on social media due to the time and effort required to create personalized content. Despite knowing the value of visibility for building trust and generating leads, many agents fail to post regularly, especially on platforms like Facebook where their audience actively engages.
Research
To kick things off, we partnered with product to have the big picture and understand better the scenario for agents.
Needs
- Being top of mind for potential customers.
- Come up with content aligned with their brand and communication strategy.
Pain points
- Time constraints
- Lack of consistency in content created
- No writing skills
Goals
- Increase conversion rates
- Enhance productivity
- Improve client relationships
Key Insights
- Agents struggle to stay consistently visible due to time constraints.
- Agents lack confidence in writing and branding.
- Agents see social media as a business driver, not just visibility.
Competitive analysis
Most of the competitors offer blog/social tools that require agent effort and produce generic outputs.
- Manual drafting and editing
- Share buttons
- Static content libraries
There is an opportunity here for iHomefinder.
MLS data
AI
Brand customization
Challenges
Product /Design/ Engineering partnership
AI expertise
Holistic experiences
Ethical Risks & Implications
Misrepresentation & Accuracy
AI may generate incorrect claims about pricing, market conditions, or property features.
Over- Automation & Dependency
Long-term dependency weakens professional skills and creates homogenized content.
Accessibility
Ethical products should help level the playing field, not reinforce inequality.
Biases.
Fair Housing violations are serious legal and ethical issues in real estate.
Beyond making this process easier for the user, we were looking for..
Before scaling the AI assistant to all clients, we were testing it in group of 19 agents. We were aiming to get qualitative and quantitative feedback.
The main metrics in terms of adoption are (end of the year):
- AI interview completion rate (target 65% - 19 of 29 clients)
- Posting engagement (4 post by client avg)
- Churn reduction 15%
- Revenue impact $225
Complementary metrics:
- AI interview starters
- AI generated Facebook Post Creators
- Successful Facebook Post Publishers
The AI testing process combines user segmentation with continuous feedback to understand performance across different profiles. It leverages passive and active signals to measure quality, confidence, and engagement. Contextual feedback captures issues at key moments in the workflow, while qualitative sessions uncover deeper concerns, risks, and unmet needs.
next project
Max App: Your real estate assistant to capture, nurture and close leads in one place.
show case study
Social post generation
Part 1
AI Interview & Agent profile
Part 2
Social Post Generation
Where AI can assist?
- Identify tone and content topics.
- Matching language to the agent’s profile.
- Suggesting variations.
- Flagging risky language and sensitive content.
Where AI can automate?
- Generating repetitive content:
- Listing post
- Open house announcements
- Sold listing post
- Formatting
- Regenerating content
- Publishing process
Strategy
How to articulate multiple micro steps as part of unified AI flow?
Our user profiles involve baby brand agents but also old hat ones, so the level of familiarity with technology and AI features could vary.
AI social post generation
When does AI make sense?
- Agents are looking for consistency.
- Repeatable content (listings, open houses, market updates).
- Agents want to save time.
When does AI make no sense?
- Highly Personal or sensitive moments. Community tragedies, local emergencies.
- Lack of data about the agent profile.
- Compliance sensitive.
Quick explorations allow me to envisioning the long term functionality.
Lovable
Google Stitch
AI Visibility
Reach
12,345
+12%
Engagement
8,765
+8%
Leads Generated
456
+5%
Performance Overview
Reach Over Time
+15%
Last 30 Days
+15%
Week 1
Week 2
Week 3
Week 4
Engagement by Content Type
+10%
Last 30 Days
+10%
Blog
Social Media
Content Suggestions
Blog Post: Top 5 Neighborhoods for Families
Write a blog post about the best neighborhoods for families, highlighting schools, parks, and community amenities.
Start Writing
Social Media: Share a Client Success Story
Create a social media post featuring a client's positive experience, including a testimonial and photos of their new home.
Create Post
Home
Clients
Listings
AI Visibility
Let’s work together!!
Get in touch
danielarboledamanyoma@gmail.com
Connect on LinkedIn
Daniel Arboleda
next project
Max App: your real estate assistant to capture, nurture and close leads in one place.
show case study
Product Designer
ABOUT ME
get resume
Automating content creation for social media posting through Max AI assistant.
Description
iHomefinder is a real estate CRM and marketing system for real estate agents, teams, and agencies. This system allows real estate agents to save time and generate business opportunities thanks to marketing automation tools. Agents can use iHomefinder's intelligent tools to manage lead generation and digital marketing campaigns.
Role and Team
Sr Product Designer
Type
Product Design (Real Estate)
Client
iHomefinder
Date
2025
Problem
Real estate agents often struggle to maintain a consistent and engaging presence on social media due to the time and effort required to create personalized content. Despite knowing the value of visibility for building trust and generating leads, many agents fail to post regularly, especially on platforms like Facebook where their audience actively engages.
Research
To kick things off, we partnered with product to have the big picture and understand better the scenario for agents.
Needs
- Being top of mind for potential customers.
- Come up with content aligned with their brand and communication strategy.
Pain points
- Time constraints
- Lack of consistency in content created
- No writing skills
Goals
- Increase conversion rates
- Enhance productivity
- Improve client relationships
Key Insights
Agents struggle to stay consistently visible due to time constraints.
“I know I need to post more to stay relevant, but after a full day with clients, creating content is the last thing I can think about.”
Agents lack confidence in writing and branding.
“I want my posts to sound like me, but I never know what to write or how to make it feel professional.”
Agents see social media as a business driver, not just visibility.
I don’t post just to post. Every piece of content should help me connect with clients or bring in new leads.
Competitive analysis
Most of the competitors offer blog/social tools that require agent effort and produce generic outputs.
- Manual drafting and editing.
- Share buttons.
- Static content libraries.
There is an opportunity here for iHomefinder.
MLS data
AI
Brand customization
Challenges
Product /Design/ Engineering partnership
AI expertise
Holistic experiences
Ethical Risks & Implications
Misrepresentation & Accuracy
AI may generate incorrect claims about pricing, market conditions, or property features.
Biases.
Fair Housing violations are serious legal and ethical issues in real estate.
Over- Automation & Dependency
Long-term dependency weakens professional skills and creates homogenized content.
Accessibility
Ethical products should help level the playing field, not reinforce inequality.
Beyond making this process easier for the user, we were looking for..
Before scaling the AI assistant to all clients, we were testing it in group of 19 agents. We were aiming to get qualitative and quantitative feedback.
The main metrics in terms of adoption are (end of the year):
- AI interview completion rate (target 65% - 19 of 29 clients)
- Posting engagement (4 post by client avg)
- Churn reduction 15%
- Revenue impact $225
Complementary metrics:
- AI interview starters
- AI generated Facebook Post Creators
- Successful Facebook Post Publishers
The AI testing process combines user segmentation with continuous feedback to understand performance across different profiles. It leverages passive and active signals to measure quality, confidence, and engagement. Contextual feedback captures issues at key moments in the workflow, while qualitative sessions uncover deeper concerns, risks, and unmet needs.
next project
Max App: Your real estate assistant to capture, nurture and close leads in one place.
show case study
Social post generation
Part 1
AI Interview & Agent profile
Part 2
Social Post Generation
Where AI can assist?
- Identify tone and content topics.
- Matching language to the agent’s profile.
- Suggesting variations.
- Flagging risky language and sensitive content.
Where AI can automate?
- Generating repetitive content:
- Listing post
- Open house announcements
- Sold listing post
- Formatting
- Regenerating content
- Publishing process
Strategy
How to articulate multiple micro steps as part of unified AI flow?
Our user profiles involve baby brand agents but also old hat ones, so the level of familiarity with technology and AI features could vary.
9:41
Your first blog post
Review and approve your AI generated content.
This post was created based on your profile and current real estate trends. You can always edit to add your personal touch.
4 min read
Draft
Luxury homes expert: Your guide to Real Estate Sucess
Discover insider tips and strategies from a 5 years real estate professional specializing in luxury homes.
#real estate
#market insights
#luxury homes
TARGET AUDIENCE:
Young professionals
content
As a broker with 5 years of experience, I’ve had the privilege of helping countless clients navigate the complex world of real estate. Today, I want to share some insights that can help you make informed decisions in today’s market.
**Key Strategies for success**1. **Market Knowledge**: Stay informed about local trends and pricing.2. **Professional Network**: Work with experienced professionals.3.**Timing**: Understand when to act and when to wait.4.**Due Diligence**: Never skip the research phase.**Looking Ahead**If you’re looking for a trusted advisor who puts your interests first throughout your real estate journey.Ready to take the next step? Let’s discuss how I can help you achieve your real estate goals.
Approve
Decline
Edit Post
9:41
Visible Agent
AI content dashboard
Review and manage the content your AI assistant creates to boost your visibility.
Analytics
Total post
10
Published
5
Pending to approve
3
Declined
2
Agent profile
MC
Mario Carl
Real Estate Agent
Content created for you
4 min read
Pending to publish
Luxury homes expert: Your guide to Real Estate Sucess
Discover insider tips and strategies from a 5 years real estate professional specializing in luxury homes.
#real estate
#market insights
#luxury homes
TARGET AUDIENCE:
Young professionals
Publish
Preview
4 min read
Published
Luxury homes expert: Your guide to Real Estate Sucess
Discover insider tips and strategies from a 5 years real estate professional specializing in luxury homes.
#real estate
#market insights
#luxury homes
TARGET AUDIENCE:
Young professionals
Preview
AI social post generation
When does AI make sense?
- Agents are looking for consistency.
- Repeatable content (listings, open houses, market updates).
- Agents want to save time.
When does AI make no sense?
- Highly Personal or sensitive moments. Community tragedies, local emergencies.
- Lack of data about the agent profile.
- Compliance sensitive.
Quick explorations allow me to envisioning the long term functionality.
Let’s work together!!
Get in touch
danielarboledamanyoma@gmail.com
Connect on LinkedIn
Daniel ArboledaProduct Designer
ABOUT ME
get resume
next project
Max App: Your real estate assistant to capture, nurture and close leads in one place.
show case study
Let’s work together!!
Get in touch
danielarboledamanyoma@gmail.com
Connect on LinkedIn
Daniel ArboledaAutomating content creation for social media posting through Max AI assistant.
Description
iHomefinder is a real estate CRM and marketing system for real estate agents, teams, and agencies. This system allows real estate agents to save time and generate business opportunities thanks to marketing automation tools. Agents can use iHomefinder's intelligent tools to manage lead generation and digital marketing campaigns.
Role and Team
Sr Product Designer
Type
Product Design (Real Estate)
Client
iHomefinder
Date
2025
Problem
Real estate agents often struggle to maintain a consistent and engaging presence on social media due to the time and effort required to create personalized content. Despite knowing the value of visibility for building trust and generating leads, many agents fail to post regularly, especially on platforms like Facebook where their audience actively engages.
Research
To kick things off, we partnered with product to have the big picture and understand better the scenario for agents.
Needs
- Being top of mind for potential customers.
- Come up with content aligned with their brand and communication strategy.
Pain points
- Time constraints
- Lack of consistency in content created
- No writing skills
Goals
- Increase conversion rates
- Enhance productivity
- Improve client relationships
Key Insights
Agents struggle to stay consistently visible due to time constraints.
“I know I need to post more to stay relevant, but after a full day with clients, creating content is the last thing I can think about.”
Agents lack confidence in writing and branding.
“I want my posts to sound like me, but I never know what to write or how to make it feel professional.”
Agents see social media as a business driver, not just visibility.
I don’t post just to post. Every piece of content should help me connect with clients or bring in new leads.
Competitive analysis
Most of the competitors offer blog/social tools that require agent effort and produce generic outputs.
- Manual drafting and editing
- Share buttons
- Static content libraries
There is an opportunity here for iHomefinder.
MLS data
AI
Brand customization
Challenges
Product /Design/ Engineering partnership
AI expertise
Holistic experiences
Ethical Risks & Implications
Misrepresentation & Accuracy
AI may generate incorrect claims about pricing, market conditions, or property features.
Biases.
Fair Housing violations are serious legal and ethical issues in real estate.
Over- Automation & Dependency
Long-term dependency weakens professional skills and creates homogenized content.
Accessibility
Ethical products should help level the playing field, not reinforce inequality.
Beyond making this process easier for the user, we were looking for..
Before scaling the AI assistant to all clients, we were testing it in group of 19 agents. We were aiming to get qualitative and quantitative feedback.
The main metrics in terms of adoption are (end of the year):
- AI interview completion rate (target 65% - 19 of 29 clients)
- Posting engagement (4 post by client avg)
- Churn reduction 15%
- Revenue impact $225
Complementary metrics:
- AI interview starters
- AI generated Facebook Post Creators
- Successful Facebook Post Publishers
The AI testing process combines user segmentation with continuous feedback to understand performance across different profiles. It leverages passive and active signals to measure quality, confidence, and engagement. Contextual feedback captures issues at key moments in the workflow, while qualitative sessions uncover deeper concerns, risks, and unmet needs.
Social post generation
Part 1
AI Interview & Agent profile
Part 2
Social Post Generation
Where AI can assist?
- Identify tone and content topics.
- Matching language to the agent’s profile.
- Suggesting variations.
- Flagging risky language and sensitive content.
Where AI can automate?
- Generating repetitive content:
- Listing post
- Open house announcements
- Sold listing post
- Formatting
- Regenerating content
- Publishing process
Strategy
How to articulate multiple micro steps as part of unified AI flow?
Our user profiles involve baby brand agents but also old hat ones, so the level of familiarity with technology and AI features could vary.
AI social post generation
When does AI make sense?
- Agents are looking for consistency.
- Repeatable content (listings, open houses, market updates).
- Agents want to save time.
When does AI make no sense?
- Highly Personal or sensitive moments. Community tragedies, local emergencies.
- Lack of data about the agent profile.
- Compliance sensitive.
Quick explorations allow me to envisioning the long term functionality.