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A Demo of Whitebox for B2B Marketers with Ofri Touboul-Cohen

Ofri Touboul-Cohen demos Whiteboxโ€™s GEO platform for B2B marketers. Track brand mentions in AI search, analyze sources, and generate actionable content.

Camela Thompson
13 May 2026
Videos

Quick Jump

0:11
Introduction to Whitebox's approach
1:00
Fun Fact: 90% of B2B GEO influence happens outside of the brandโ€™s website
3:43
Whitebox dashboard walkthrough: mention rate & sentiment scoring
5:12
Whitebox deep dive of brand visibility tracking
5:58
How to tell where to invest time to improve your brandโ€™s visibility
6:57
Competitor comparison tools
7:22
Sentiment analysis across LLM sourced material platforms
8:29
GEO roadmap: your actionable to-do list
9:26
Content suggestions that respect platform policies (Reddit example)
10:06
On-site optimization: robots.txt example
13:00
Prompt research strategy: top-down vs. bottom-up
13:51
Implementation: team effort and managed service options
14:51
Why Whitebox is different: closing the loop
16:03
What customers love most about the platform
16:55
Pricing factors and coverage options
17:37
Ofriโ€™s recommendation when choosing a GEO platform

Some GEO platforms stop at monitoring. They’ll tell you where you rank in ChatGPT or how often your brand gets mentioned. Then they leave you staring at dashboards wondering what to do next.

Whitebox closes the loop.

In this demo, Ofri Touboul-Cohen, CEO and founder of Whitebox, walked through his platform using SentinelOne as a live example. This was a full product walkthrough showing exactly how the platform identifies where B2B brands show up in AI-generated answers, which third-party sources control the narrative, and what content to create to change it.

If you’re trying to figure out where your brand appears in ChatGPT or Gemini, and more importantly, what to do about it, this demo showed how Whitebox answers those questions.

TL;DR 

  • Platform tracks mention rate, brand ranking, sentiment, and source distribution across ChatGPT and Gemini
  • Auto-generates platform-compliant content (Reddit comments, review responses, blog posts) based on your brand guidelines
  • Shows which specific sources control your narrative and where competitors appear but you don’t
  • Attribution tracking measures which actions moved which metrics
  • GEO roadmap functions as a to-do list with ready-to-publish content
  • Supports both top-down (category-based) and bottom-up (search console) prompt research
  • Platform + managed service options available depending on team bandwidth
  • Pricing based on geographic coverage, prompt categories, and service level

The Core Problem: Monitoring Doesn’t Move the Needle

There are a lot of GEO platforms available right now. Almost everyone has the same logic for how to monitor and analyze. The big question is about improvementโ€”how you really move the needle and do something effective.

Ofri Touboul-Cohen
Co-Founder & CEO

This is the key differentiator Ofri emphasized for Whitebox.

Most GEO tools give you visibility into where you rank. They’ll show you mention rates, sentiment scores, and source lists. Not all of them tell you what to write, where to publish it, or how to comply with platform policies when you do.

Whitbox does all of these things and more.

90% of B2B GEO Work Happens Off Your Website

Ofri leads with the most important stat in B2B GEO: 90% of the sources ChatGPT relies on for B2B prompts come from external sources. Not your website.

That means the majority of your GEO work isn’t blog posts or site optimization. It’s Reddit comments, review platform profiles, earned media mentions, and public databases like Wikipedia.

Obviously there’s a lot to do on the official website, but the majority of the work should be on third-party sources like public databases, review sites, and earned media. The combination between them is very important.

Ofri Touboul-Cohen
Co-Founder & CEO

This reframes the B2B GEO strategy. If ChatGPT is pulling 90% of its B2B answers from sources you don’t control, your content strategy needs to shift toward those platforms. More blog posts simply wonโ€™t fix your ranking.

How Whitebox Structures Their Analysis

Whitebox breaks GEO into four steps:

  1. Define your target audience โ€“ geography, language, persona
  2. Prompt research at scale โ€“ hundreds of prompts per customer, checked biweekly
  3. Source analysis โ€“ identify which third-party sources control each prompt category
  4. Content generation and attribution โ€“ create platform-compliant content and measure its impact

The platform runs biweekly checks across tens of thousands of prompts. At that scale, Ofri says, the data is finally accurate enough to act on.

A new factor we hadnโ€™t seen before was Whiteboxโ€™s extraction of platform-specific policies (Reddit subreddit rules, Wikipedia guidelines, review site standards). It then uses your brand content guidelines to generate LLM-friendly adheres to your standards and the platform you want to post to.

We donโ€™t just make suggestions for your website when we generate content for you. Sometimes this content can be pasted on your blogs. Sometimes it’s ideas for earned media. Some of them are for review platforms.

Ofri Touboul-Cohen
Co-Founder & CEO

Once you publish, Whitebox attributes the change. You can see which actions moved your brandโ€™s mention rate and which content improved sentiment.

Inside the Dashboard: What You’re Actually Looking At

Top-Level KPIs

The overview page shows two primary metrics:

  • Mention rate (top-of-funnel) โ€“ How often your brand appears in AI-generated answers
  • Brand ranking (bottom-of-funnel) โ€“ Your position when you are mentioned

In GEO, you should start measuring the answers, not the traffic. If you’re not in the answer, the traffic won’t come to your website.

Ofri Touboul-Cohen
Co-Founder & CEO

The mention rate chart shows performance over time. Blue flags mark changes driven by your actions. Red flags mark changes driven by the AI platform’s algorithm updates.

Below that: sentiment score distribution and trends over time.

Visibility Breakdown by Category

Whitebox organizes prompts into categories. For each category, you can see:

  • Mention rate by search engine (ChatGPT, Gemini, etc.)
  • Average ranking over time
  • Which categories are trending up or down

In the demo example, Ofri filtered to the “data security” category for the demo company. The mention rate dropped noticeably. 

You can see the result is much lower and reduced over time. That’s the signal to prioritize that category in your content roadmap.

Ofri Touboul-Cohen
Co-Founder & CEO

Source Distribution: Where the LLM Gets Its Answers

For any prompt category, you can see which third-party sources control the narrative. In the demo, the sources include Wikipedia, PeerSpot, Reddit, Business Wire articles, and earned media.

Each source shows:

  • Weight of influence over time
  • Whether it’s citing you or a competitor
  • Specific subreddits, review threads, or articles driving mentions

Whitebox tells you which Reddit thread, which Wikipedia page, which review site profile is responsible for changes over time.

Head-to-Head Competitor Analysis

The comparison view lets you pick competitors from your list (either Whitebox’s recommendations or your own). You see:

  • Prompts where you’re directly compared (“Should I use SentinelOne or CrowdStrike?”)
  • Which sources favor each brand
  • Direct quotes from AI-generated answers

For branded prompts (“Do you recommend using SentinelOne?”), Whitebox runs sentiment analysis across multiple prompts, categorizes pros and cons, and shows which sources are driving negative sentiment.

In the demo, Reddit accounts for 7% average weight with a negative sentiment score. That’s a signal our demo company can use: if you want to shift sentiment, Reddit is the place to start.

You can drill into topic analysis to see exactly what’s being said and where. That gives you the recipe for what narrative to counter and where to do it.

The GEO Roadmap: From Insight to Action

Whitebox auto-generates a GEO to-do list formatted like a Kanban board based on:

  • Your policy settings: which KPIs you prioritize: visibility, sentiment, comparison ranking
  • Your brand content guidelines: tone, topics, compliance constraints
  • Recent measurement results

Each task card includes:

  • The source type: Reddit, review site, blog, etc.
  • The specific action: write a comment, update a profile, publish a post
  • Auto-generated content that’s compliant with that platform’s policies

Reddit Example

Whitebox identifies that Reddit controls 8% of sentiment mentions for SentinelOne, and the sentiment is negative. It recommends specific subreddits where SentinelOne should engage.

The platform then generates comment drafts that:

  • Match your brand voice and content guidelines
  • Follow subreddit-specific rules (Whitebox extracts these automatically)
  • Address the negative narrative surfaced in the topic analysis

You review, edit if needed, and post. Or you assign the task to your team.

On-Site Content Example

Whitebox also generates recommendations for your own website. In the demo, Ofri shows a robots.txt optimization task.

“We all know that robots.txt is one of the relevant actionables,” he says, “but not all of us know what we should do.”

Whitebox auto-generates the recommended robots.txt changes, checks them against your site’s current setup, and hands you a diff you can copy-paste. You don’t need to figure out the technical implementation. You just need to approve and deploy.

The platform does the same for structured data, FAQ schema, and other on-site optimizations.

Attribution: Measuring What Actually Worked

Every action you take through Whitebox gets logged. When you publish a Reddit comment, update a review profile, or launch a piece of earned media, the platform tracks:

  • Mention rate changes
  • Source weight shifts
  • Sentiment score movement
  • Ranking improvements

This closes the loop. You’re not just creating content and hoping. You’re measuring which specific actions moved which specific metrics.

We measure by source, the weight over time, the sentiment that came from the change, and the mention rate for that.

Ofri Touboul-Cohen
Co-Founder & CEO

Most GEO platforms show you the problem. Whitebox shows you the problem, gives you the solution, and proves whether it worked.

Whitebox’s Pricing Structure

Pricing is based on:

  • Geographies and languages coverage
  • Number of prompt categories tracked
  • Feature access (like e-commerce shopping capabilities)
  • Managed services

Whitebox offers both self-service platform access and managed service support, depending on your team’s bandwidth and expertise.

Platform Positioning

When asked where Whitebox sits in the GEO tool landscape, Ofri framed it around execution depth. Some tools monitor and report. Others offer workflow features. Whitebox focuses on generating ready-to-use content: Reddit comments that follow subreddit rules, blog posts that match your tone, review responses that address specific sentiment issues.

When we asked Ofri the features his customers raved about the most, his answer was:

  1. The platform shows where to focus effort: which sources matter, which categories are weak, which competitors are displacing you.
  2. It generates actionable content instead of leaving you with reports and recommendations.

Our final thoughts on Whitebox

Whitebox addresses the gap between tracking AI visibility and doing something about it. 

The platform: 

  • Tracks where your brand appearsย 
  • Identifies which third-party sources control those mentions
  • Generates content to improve visibilityย 
  • Makes recommendations that are compliant with third-party policies
  • Leverages tracking attribution to measure what worked

If your team knows the data but struggles with execution, that’s the problem Whitebox targets. Visit Whitebox: https://whitebox.io

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