Buyers Require Content to
Support Their Decision

Our AI System maps Buyers' Questions, identifies Content Gaps,
and helps Create Compelling Content.

Our Mission.

Make it easier for buyers to purchase by providing the right content

Today’s buyers use Google before, during, and after-sales conversations. Companies often have some of the buyer’s questions answered with good content – but do not have a clear way to identify what content is missing.

 

Current situation

Every time a buyer searches a question related to your products, services, or more importantly their problem that you can solve – is either a connection in your sales funnel or a missed opportunity.

But...

In many cases, the content buyers need is scattered and fragmented across multiple companies. Thus buyers become confused and require longer to make their purchase decision.

How can we Solve this?

We developed an AI Data-Driven system that enables teams to provide input on the Pillar Topics that their Buyers are interested in.

Then...

For each Pillar Topic, we use data analysis to identify the most relevant questions that are being typed into Google.

Then...

Next, we identify all of your existing content. What questions are you covering right now?

The key output is a list of important questions that you are not answering, and that could help your sales and marketing teams work better together.

As a bonus...

We evaluate your existing content to see if it is outdated or falling short of covering the related topics and sub-questions that buyers are looking for.

Persona

The Buyer’s Questions are organized by Persona – so you can identify both the functional and psychological needs of specific types of buyers. These usually mean different questions come up.

Buyer's journey

The Questions and Topics are then organized into a Buyers Journey. We then use data analysis to see what parts of the Buyers’ journey can be better supported.

We have made it possible to go through the entire process within 10 minutes. This won’t provide a full analysis, but it will provide a foundation for improving it over time.

AI Data Driven Content Planning

Buyers Require Content to Support Their Decision

Our AI system maps buyers' questions, identifies content gaps,
and helps create compelling content.

Make it easier for buyers to purchase by providing the right content

Today’s buyers use Google before, during, and after-sales conversations. Companies often have some of the buyer’s questions answered with good content – but do not have a clear way to identify what content is missing.

Every time a buyer searches a question related to your products, services, or more importantly their problem that you can solve – is either a connection in your sales funnel or a missed opportunity.

In many cases,

In many cases, the content buyers need is scattered and fragmented across multiple companies. Thus buyers become confused and require longer to make their purchase decision.

How can we solve this?

We developed an AI Data-Driven system that enables teams to provide input on the Pillar Topics that their Buyers are interested in.

For each Pillar topic,

We use data analysis to identify the most relevant questions that are being typed into Google.

Existing content

We identify all of your existing content. What questions are you covering right now?

The key output is a list of important questions that you are not answering, and that could help your sales and marketing teams work better together.

As a bonus...

We evaluate your existing content to see if it is outdated or falling short of covering the related topics and sub-questions that buyers are looking for.

The Buyers' Questions

The Buyer’s Questions are organized by Persona – so you can identify both the functional and psychological needs of specific types of buyers. These usually mean different questions come up.

Buyer's journey

The Questions and Topics are then organized into a Buyers Journey. We then use data analysis to see what parts of the Buyers’ journey can be better supported.

10 minutes

We have made it possible to go through the entire process within 10 minutes. This won’t provide a full analysis, but it will provide a foundation for improving it over time.

Our story

Jay and Sophie have interviewed 200+ performance marketing agency founders and individuals in 2021. They told us their #1 challenge was to do data-driven content planning on spreadsheets. It takes time and years of learning to work around thousands of rows of data on spreadsheets to decide what content to write on.

Jay is passionate about using AI data-driven technology to help marketers figure out what content to write next. While Sophie’s passion has always been about answering questions a buyer persona has before purchasing a product.

From this, a company was born: Topic Buddy. It was founded to help businesses decide what content to write next to build trust and drive sales.

Buyers Require Content To Support Their Decision

Our AI data-driven content planning system helps you identify content your buyers need before purchasing.

1. Competitor Content Gaps

The AI system looks for specific competitors that have content that you are missing.  Knowing that one of your competitors has content that is performing well for this topic is one of the key inputs to validate any idea in the content plan.

2. Currently Ranking Content

The AI system looks at all the existing content on your website, and identifies what is the best ranking content for each keyword.  This tells us that there is an opportunity to build more specific and relevant content which will increase our ability to attract prospects for this search term.

3.1. Impression Data

The AI system looks at how many times people are searching for keywords related to your offers, and then seeing your content without clicking on anything.  This means your content is already getting some impressions – people are seeing it. 

3.2. Impression Data ..

But you are not getting the clicks.  This allows us to validate keywords that we want to include into the plan – because we already know your content is close to working – but not optimized or deep enough.

4. Performance Data

The AI System will also look at your Lead Generation and Sales Generation pages as inputs to guide which keywords should be included in the plan.  When keywords are included we assign them to a phase of the Buyer’s Journey, so you can visualize your content efforts in terms of Awareness, Interest, Desire, and Action.

5. Product Focus

The AI System is more powerful than other approaches because we categorize one or more offers based on their appeal to a specific audience.   This means that we can identify different competitors to learn from for each offer and it also results in different keyword selections than a website level approach.

We utilize these 5 drivers and evaluate on average 10,000-30,000 keywords per product focus to arrive at 52 topics
for a single year of content. One topic is the focus for every week of the year.

Behind The AI Content Planning System

Sumit Jay Sen

Co-Founder and CEO

Sumit Jay Sen is a Data Scientist who worked in the USA Finance industry for 10+ years.  He hired and managed a team of Ph. D.s in Statistics, Computer Science, and Artificial Intelligence and combined them with M.B.As from Harvard and Masters in Operations Research from Stanford.

With this team, Jay pioneered an improved way to create prediction models – specifically to identify possible marketing behavior.  Types of marketing behavior predicted include – lifetime value, expected churn/attrition, and inactive user accounts.

Jay and his team also worked to create risk prediction models including Bankruptcy Scores, Credit Scores, and Credit Limit Scores.

After working in Banking, Jay moved on to be the (non-founder) Chief Analytics Officer for aQuantive, a leader in digital advertising.  aQuantive was acquired by Microsoft for approximately $6 Billion.

Currently, Jay is working to help agencies and businesses use data to understand their Buyer’s Journey – by identifying questions based on the needs of different Personas.   

Jay is co-founder and CEO of Topic Buddy. Prior to founding Topic Buddy in 2021, Jay was the founder and Managing Director of Handmade SEO where he helped hundreds of SMBs to grow revenue by 30% – 100% per year via content marketing. 

Jay is also a cohost at Content Marketing Virtual Summit, where he hosts 2 virtual conferences per year with 100+ content marketing thought leaders and CMOs from Martech firms such ThriveTheme, SEMRUSH, Salesforce, Freshworks just to name a few.   

Jay holds a BS in Artificial Intelligence from Johns Hopkins University.

Audits & Content Mapping

Topic Buddy has everything you need to start kicking off your successful marketing plan, from auditing your website and content health to creating your content inventory.

Content Strategy

Topic Buddy provides two approaches to launching into content marketing: Quick Wins and Long-Term Strategy.

Content Planning

AI Data-driven content planning software helps you map Buyers’ Questions, identify Content Gaps, and plan a 52-week content plan. 

It then populates your plan on a content calendar and lets your team interact with each other.

Net Change

Topic Buddy Net Change lets you monitor early indicators of your content performance.

It then suggests improvements to recover decreasing content and accelerate increasing content.

Your Success. Our Mission.

buyers require content to support their Decision

Our AI data-driven content planning system helps you identify content your buyers need before purchasing.

Ready to create great content that builds trust and drives sales?

We can do it together