Gorish Aggarwal

Sybill

Sybill is the AI co-pilot for B2B sellers. We don’t just capture your sales conversations—we automate and execute your follow-ups, CRM updates, and next steps, so you can focus on closing deals, not admin work.

💥 What Sybill Does:
✅ Auto-executes next steps: CRM updates, follow-ups, meeting scheduling
✅ AI-powered research: Pulls prospect insights from the web
✅ Auto-customizes sales collateral
✅ Works where sellers work—email, CRM, and LinkedIn

🚀 750+ sales teams trust Sybill
🔥 70%+ revenue from word-of-mouth
🤖 AI that doesn’t just track, it executes.

Started as AI that read facial expressions on Zoom. Now? The most advanced AI assistant helping sellers close more while doing less.

🚀 Hiring, Partnering, & Scaling—Let’s Connect!

Founding AE and CEO

Humans of Sales

📍 Bringing the human side of sales to life

Sales is more than quotas and cold calls—it’s about people. Humans of Sales shares real stories of sales reps: their wins, struggles, lessons, and moments that make this profession special.

Not a sales blog. No tactics. Just authentic, inspiring stories that redefine the sales narrative.

📅 New stories every Tuesday
🔹 Real Stories. Real Sales. Real People.

Follow #HumansOfSales to join the movement. 🚀

Founder 

Stanford University

Lead instructor of EE 263 in Q4 '19 and '20. Grad course on optimization theory and linear algebra

Lecturer

Samsung Electronics

Senior ML Engineer

CEO @ Sybill | Generative AI for Sales

Once upon a time, I was building AI to cure blindness, predict blood glucose levels, and even make drones land on moving vehicles. Now? I'm making sure B2B sales reps never have to update their CRM again (which, let's be honest, is a far greater cause).

At Sybill, we don’t just take notes—we execute next steps automatically. Follow-ups, CRM updates, scheduling, research—done for you. Do less, close more. 

750+ sales teams trust Sybill to do the boring stuff, so they can close more deals—and we’ve raised $15M to make it even smarter.

Also started Humans of Sales—because sales is more than quotas and cold calls. It’s about real people.

Follow for AI, sales, and spicy takes. 🚀

Member

RevGenius is a community of revenue-generating sales and marketing professionals brought together to learn, share, support, and grow with each other. Our community is remote-friendly, collaborative, and loves to help. You can consider us your alt work family!


If you're not onboarding customers in-person, can you really say you're "customer obsessed?" I kid (mostly) 😂 

Auditoria.AI signed up for Sybill recently, and Nishit Asnani (Hiring Founding AEs) and I got to onboard their team in person.

Did we actually need to be there in person? Not really.

Part of why teams love Sybill is that it's easy to get up-and-running on your own, so there's no real hand holding required.

But the chance to get their feedback, hear their questions, and watch them run Ask Sybill queries in person was worth it's weight in gold.

It also doesn't hurt that they're here in SF.

Cheers to many more in-person onboarding sessions 


Thank you to Akash Bose and David Osborne

My use of ChatGPT and Claude dropped by 99% in one day. 

Sybill has been able to answer directly from our calls and deals for a while now, but last week we shipped document upload and web search.

Now Sybill can search for answers in your calls, emails, and CRM, but if it can't find an answer, it will take to searching the web or working directly from a document I've uploaded.

So I straight up don't need ChatGPT or Claude for almost anything anymore.

It's wild.

If your teams are tired of copy+pasting transcripts from Gong into ChatGPT, let's talk.

Nishit Asnani (Hiring Founding AEs) Soumyarka Mondal Mehak Aggarwal

Yesterday, 50+ people showed up to see how Sybill is different from Gong.

We didn’t compare features.
We didn’t run a bake-off.
We didn’t take cheap shots at Gong.

We showed how Sybill and Gong are built on two completely different foundations with two completely different POVs about how revenue actually moves forward.

And those choices we made create massive differences in outcomes for revenue teams.

Recording in comments 🚀

Gong’s prices keep going up. But is anyone getting more value?

Not according to the sales leaders I talk to every day.

Not too long ago, Gong felt like the future of sales.

Clear value prop. Big campaigns. Category pioneer. Everyone wanted it.

But here's what sellers tell me now:

→ Prices are going up… again.
→ AEs pay $$$ for licenses but use it like a notetaker
→ Their AI can’t think it’s way out of a box
→ Forecasting is the only feature that works
→ CRM still needs manual updating after calls
→ No more innovation; copying competitors
→ Too many dashboards, not enough action

The real question: Has Gong become the ghost of revenue AI’s past?

We'll answer this question at next week's webinar:

Sybill vs. Gong: “The Ghost of Revenue AI's Past.”

(Can you guess our answer? :P)

We’ll cover:
→ How sales AI has evolved since Gong's hay day
→ Why Gong’s multi-agent architecture hurts, not helps
→ How Sybill uses AI to keep deals moving forward
→ Why some rip/replace Gong and others layer Sybill
→ And why sellers at Warmly, Aligned, Deal, Drata, and Perplexity are choosing Sybill for sales AI and execution.

Thursday, 12/4 at 8am PST.

Register and get all the deets below.

The moment you win a customer is also the moment you’re most likely to lose them.

The customer handoff.

That’s when momentum is fragile.

Excitement turns to uncertainty.

And one clumsy handoff can undo months of trust built during the sale.

Case in point: Cloudingo, a Salesforce-native data quality SaaS with a lean, full-cycle sales team.

Their sellers run everything - from first touch through renewal - juggling outbound, partners, demos, and onboarding.

When every deal crosses multiple hands, it’s easy for key context to slip.
And buyers feel it instantly.

As their VP of strategic alliances puts it: “We wear a handful of hats. What we needed wasn’t a heavyweight platform; we just needed to make sure the handoff from sales to onboarding didn’t feel like starting over.”

When we looked at their handoff flow, a few friction points stood out:
➡️ Long sales cycles with multiple discovery and demo calls
➡️ Onboarding starting with “remind me what you bought again?”
➡️ Notes scattered across calls, emails, and Slack

The result: slow onboarding, frustrated buyers, and lost momentum right after the close.

Here’s how we helped them fix it with Sybill.

1. Deal insights captured automatically
Sybill summarizes every call and email. Then then it writes details like pain points, goals, integration requirements, and migration risks straight into Salesforce fields automatically.
No manual entry. No missing context for customer success.

2. Standardized handoff templates
Before onboarding begins, reps use a saved templates in Sybill to generate a concise (and standardized) summary: what was sold, who the stakeholders are, and what matters most to them.
Everyone gets the same summary format. No surprises.

3. On-demand context for the next owner
Onboarding and CS can ask Sybill:
➡️ “What did we commit to during sales?”
➡️ “Who’s the main champion?”
➡️ “What are the success criteria for this account?”

And instantly get a clear, context-aware summary spanning every interaction.

The results?
➡️ Faster onboarding kickoffs
➡️ Fewer dropped balls between teams
➡️ Stronger customer momentum after the close

Because the sale isn’t really “won” when it closes.

It’s won when the customer’s confidence carries through to value.

Want to tighten your transition between sales and CS?

We built a free customer handoff AI prompt template, similar to the recent customer, a Salesforce native. uses to keep every customer handoff consistent and fast.

Link in comments below.

Another year of using Gong has come and gone, and here’s your Gong Wrapped.

➡️ 219 transcripts you copied into ChatGPT
➡️ 646 recordings you dug through to get answers
➡️ 37 trackers you made, still missing competitors
➡️ 429 times double-checking the AI summaries
➡️ 20+% pricing increases

And all the headaches that came with your “revenue intelligence”.
 
If this Wrapped feels familiar, come to our webinar tomorrow.

👉 Sybill vs. Gong: The Ghost of Revenue AI's Past 

We’ll put Gong and Sybill head to head, covering:

• Why Gong's legacy architecture can't match Sybill's AI-native architecture.
• Intelligence: How Sybill reasons across every deal, call, email, and CRM field
• Mid-Deal Execution: Why centering the AE is the way to improve sales performance long term
• Pricing: Why many sales teams say Gong feels like an overpriced notetaker
• Switching Paths: How teams either rip-and-replace or layer Sybill on top of Gong with zero workflow change

🗓️ Thursday, Dec 4 (tomorrow)

⏱️ 8am PST

🔗 Link to register in comments

Gong Wrapped Carousel

Sales teams don’t need 100 AI agents. Sorry.

They need just ONE truly agentic AI assistant.

There’s a growing trend in AI right now: everyone’s building “multi-agent architectures.”

Sounds impressive.

Like you get a whole team of AIs, each with their own specialty.

But here’s what most people don’t realize:

Agents ≠ Assistants.

An AI agent is a narrow tool triggered by rules you manage.

An AI assistant is one unified system that can perceive → reason → plan → act 
- with shared memory and context across everything it does.

In practice?

Most “multi-agent architectures” are just a bunch of glorified workflows passing half-understood context back and forth (like Zapier automations rebranded).

Agent A pulls notes from a call.
Agent B writes a follow-up.
Agent C drafts a Slack update.
Agent D updates the CRM.

Except none of them share a global memory, so each one is working off a slightly different version of reality.

Early on at Sybill, we had the same choice: build a multi-agent platform or a single-agent assistant.

We tried multi-agent. It broke constantly.

What we discovered was this:
Multiple agents retrieve slightly different contexts. 
They reason independently. 
They have no unified brain.

Every additional agent multiplies communication protocols, context handoffs, and error-handling headaches.

The truth: most teams building this stuff are running distributed chaos, not distributed intelligence.

So we do it differently now.

Sybill is one agentic system - not a swarm.

One reasoning brain with depth, not a collection of shallow task bots.

One shared memory across deals, not 100 disconnected mini-brains.

One autonomous assistant that takes initiative, not a stack of tools waiting for triggers.

When it learns something new about a deal, it applies that understanding everywhere, from follow-ups to CRM updates to coaching recommendations.

When we improve retrieval or reasoning, the entire system gets smarter overnight.

The tradeoff?

We give up the illusion of “more agents = more power” for something far more valuable:

Coherence. Reliability. Compounding intelligence.

Don’t buy the hype (or the headache).

Most “AI agents” out there are marketing sizzle, not real agentic AI.

Real agency isn’t about how many bots you have.

It’s about how well one system can understand, reason, and act.

I used Gong at my previous company, and I knew I didn't want to bring it here.

We hear a version of this all the time. 

Because teams aren't looking for another system to watch deals.

They want a system that actually works the deal with them.

That's the shift happening in revenue AI right now:

➡️ From dashboards ➡️ to decisions
➡️ From analysis ➡️ to action
➡️ From monitoring reps ➡️ to empowering them
➡️ From fragmented "agents" ➡️ to a single unified brain

Gong was designed for the last era.

Sybill was built for the next one.

And on Dec 4, we're breaking it all down.

Where Gong is going. Where Sybill already is.

Sybill vs. Gong: The Ghost of Revenue AI's Past
🗓️ Thursday, Dec 4 (in two days)
⏰ 8am PST

🔗 Link to register in comments

What we'll cover:
• Architecture: Why Gong's multi-agent stack can't match Sybill's unified AI brain
• Intelligence: How Sybill reasons across every deal, call, email, and CRM field
• Mid-Deal Execution: Why centering the AE is the only way to improve sales performance long term
• Pricing Reality: Why many sales teams say Gong feels like an overpriced notetaker
• Switching Paths: How teams either rip-and-replace or layer Sybill on top of Gong with zero workflow change

See you there!

Ghost of Gong

Most sellers I've met are verbal processors.

They think out loud, talk through objections, and refine their pitch by saying it, not writing it.

But when it comes to prepping for calls or researching accounts? They're stuck typing into a search bar.

That's why we just launched Dictation in Ask Sybill.

Now you can ask questions about your pipeline the way you naturally think - out loud.

Just ask.

P.s. We'll be covering a ton of other new features in tomorrow's What's New webinar.

Link: https://lnkd.in/gq2W-b6W

Nothing beats watching customers go to bat for you.

Thanks, Jeremy! ❤️

graphical user interface, text, application

I'm a CEO, but I am also a seller.

And I love and hate it.

I love the feeling of nailing a pitch, watching a prospects eyes light up when they see what Sybill can do.

But I hate, hate, hate the massive pile of mindless tasks that comes with being a seller.

The email follow-ups, the document collection, the calendar invites. They feel small when you're only doing one or two, but work 10, 20 deals and the "little" tasks add up.

It's like suffocating by 1000 small tasks.

And for my brain, it's a massive drain.

So when I say that the AI task execution our team built straight up changed my life, I'm not kidding.

I'd love to show it to you.

This Thursday Collin Mayjack and I are running What's New in Sybill, an hour live demo of all the newest stuff we've built.

No fluff. Just straight up before and afters of what our team has been building.

12/10 at 8:30am PST. Link in comments.

If your meetings look anything like the ones I’ve been in, they’re full of a lot of meeting bots.

Jack’s notetaker, Sarah's notetaker, Gorish's Sybill assistant...you get the idea.

These bots take up all the screen space and serve as a constant reminder that you’re being recorded.

We wanted to fix that, which is why we built Invisible mode.

With Invisible Mode, Sybill will record your meetings without a visible bot in the meeting. This means you get all the summaries, tasks, follow-ups, and even the recording if you need it, without all the bots actually on the call.

Invisible Mode is now available for all Sybill users. Give it a try and let us know what you think.

P.s. We released another feature today and told only Sybill admins. Look out for it tomorrow.

Invisible Notetaker

Ashkar Gomez

7 Eagles

Bootstrapped marketing agency from scratch to $300K ARR in just 4 years with a group of 25+ team members, and now transiting into a technology company where we are building products that could solve problems of marketing agencies, Healthcare & hospital, Fintech, D2C, and Real estate

Founder & CEO

Ficodo

Founder

Organic Positive

Chief Marketing Officer

Freelancer

Search Engine Optimization Analyst

Roche

Associate - Scientific Services

Novo Nordisk

Executive Key Accounts

I am Ashkar Gomez, A Growth Marketer & an SEO expert. Besides this, I am an entrepreneur founded and building 7 Eagles, Ficodo.

With nearly 10+ years of experience in Growth marketing, SEO services, Performance Marketing, Content Marketing, LinkedIn Marketing, Facebook Ads, Instagram Ads, worked with 200+ clients globally.

On LinkedIn, I share my entrepreneurial stories, mindset, SEO tips and Strategy, marketing campaigns, growth marketing hacks and financial tips.

From a solo venture, 7 Eagles evolved into a team of 35+ visionpreneurs, excelling in Marketing & Technology.

With a team of 35+ people, we have built a revenue of $400K ARR in 2024.

But before I tell you more, here is a little backstory

Four years ago, I started my company, 7 Eagles as a side hustle, in an extremely small space.

At that time, the market didn’t have a separate agency that only focused on SEO services where it's just part of the digital marketing services.

That's what sparked my dream to build an agency solely dedicated to SEO services.

Until November 2020, I had no idea about hiring, but I continued my favorite part, which was training people in what I had learned.

That's when my students turned into my team.

Today, we provide world class services on Growth marketing for B2B SaaS & Tech Companies

This won't stop as a service base company, as we have started investing assets into building products

Got questions or wish to connect? 

Drop me a line at ag@the7eagles.com

Perplexity AI just got voted "Most Likely to Fail" at a major SF investor summit.

And honestly? This might be the most honest thing investors have said all year.

Here's what happened: 

A company that raised $500M, hit unicorn status, and has millions of users got publicly declared a failure-in-waiting. 

Not because the product was bad. 
Not because the team was incompetent. 

But because investors looked at the unit economics and saw a fundamental problem nobody wanted to admit out loud.

The search market is brutal. 

Google spent 30 years building a moat that looks unbreakable. 

Perplexity came in with a better UX, actually answering questions instead of feeding you 10 blue links. 

But 

better product doesn't always win in markets where the incumbent can outspend you by billions. 

They burned cash to acquire users while Google basically prints money from search.

This is the trap every founder needs to understand: 

You can build something objectively better and still lose. 
Not because you failed. 
But because you didn't solve for the business model first.

Perplexity bet that AI would create a defensible search engine. 

They might be right eventually. 
But investors don't fund "eventually." 

They fund traction, unit economics, and a clear path to profitability. 

They were missing at least one of those when the summit happened.

The lesson isn't "Perplexity will fail."
The lesson is deeper: 

Most startups don't fail because they can't build. 
They fail because they can't build and make money at scale. 
They build beautiful products nobody can afford to run. 
They acquire users that don't generate revenue. 
They optimize for growth when they should optimize for unit economics.

The founders who win aren't the ones who build the coolest thing. 
They're the ones who build something good enough that also pays for itself. 

Sometimes that means slower growth. 
Sometimes that means a smaller market. 
Sometimes that means rethinking the entire approach.

Perplexity has time to fix this. 

They have capital, smart people, and real users. 
But every day counts when investors are already writing your obituary. 

The question isn't whether they built something interesting. 
It's whether they can build something profitable before the money runs out.

That's the real game.

Founder at 7 Eagles & Ficodo | Growth Hacker to Scale B2B & SaaS Companies in Global Market | SaaS SEO Expert | SaaS Marketing Expert

You're getting traffic, but are you getting customers? 

Stop settling for random visitors from high-volume terms and start capturing the few who are ready to buy.

Keywords for SaaS

Most SaaS companies are doing content marketing completely wrong. ❌

Here's the mistakes I see every day and how to fix them.

Content Marketing

The search game has changed forever

With 77% of searches now ending in AI-generated answers, traditional SEO is becoming obsolete. Your competitors are already using these cutting-edge tools to dominate ChatGPT, Perplexity, and Gemini results.

Don't let your brand disappear into the digital void while others capture YOUR audience.

Swipe through these game-changing GEO & AEO tools that are reshaping search in 2025

💬 Which of these tools are you already using? 

Drop your thoughts and experiences in the comments below - let's discuss what's working (and what isn't) in the new AI search landscape!

Top Tools

The $1.8B story that proves product magic and word-of-mouth beat paid ads: How Lovable went from open-source to $100M ARR in 8 months.

Story of Lovable

Most AI tools today are fast, confident, and completely wrong.

That is why I was ready to ignore the Gemini 3.0 launch. I thought it was just another update in the hype cycle.

I was mistaken.

Google just flipped the script. They stopped trying to be the fastest and started trying to be the smartest.

Here is why this update actually changes your workflow:

1) It uses a Deep Think process Previous models just predicted the next word. This one pauses. It reasons through the logic, checks its own work, and then answers. It is like trading a fast intern for a slow, methodical expert.

2) It generates interfaces, not just text We are past the age of text boxes. If you ask for a travel itinerary or a project plan, it does not just write a list. It builds a custom, interactive visual layout for you on the spot.

3) Coding is now about the vibe They call it Vibe Coding. You do not need to know the syntax anymore. You describe the intention and the feeling of the app, and the AI manages the complex architecture.

We are finally moving from chatbots that summarize emails to agents that solve actual problems.

I am personally done with AI that hallucinates just to be quick. I am switching to models that take the time to be right.

Are you willing to wait a few extra seconds for an answer that is actually accurate?

Let me know in the comments.

I've audited 40+ SaaS companies' SEO. 

Here's what's actually killing your organic growth:

Mistake #1: Chasing vanity metrics You're ranking for "project management software" (12K searches, $0 value). Ignore it. 
↳ Rank for "project management software for remote agencies" (800 searches, 90% buyer intent).

Mistake #2: Content with no conversion path You write articles. People read them. Nothing happens. 
↳ Build a funnel: awareness content → mid-funnel → comparison guides → signup.

Mistake #3: Competing on unwinnable keywords You can't beat Asana for "project management." 
↳ But you can own "project management for 5-person agencies." Play a different game.

Mistake #4: Messy site architecture 120 blog posts in 30 categories with no linking strategy = Google gives up. 
↳ Organize by themes. Link strategically. Make it clear what matters.

Mistake #5: Zero link building Publishing great content with 0 backlinks loses to mediocre content with 50 backlinks. 
↳ Links are earned, not given. Build relationships. Get featured.

Mistake #6: Wrong search intent Ranking #2 for "how to manage remote teams" doesn't help if people are actually searching for tools, not tips. Match your content to what people actually want.

Mistake #7: SEO in a silo Your marketing team optimizes for keywords your sales team doesn't want. 
↳ Align sales, marketing, and product. Make it a team sport.

The Real Issue: 

Most SEO strategies fail because the strategy is wrong, not the execution.

Fix your strategy, and suddenly organic becomes your best acquisition channel.

Want to know if your SEO strategy is fixable? I do free 15-min audits for SaaS founders. 

Comment 'AUDIT' and I'll DM you.

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The Battle

Gorish Aggarwal

Ashkar Gomez

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The Battle

Gorish Aggarwal

Ashkar Gomez

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Gorish Aggarwal's LinkedIn Performance

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Performance ScoreGorish Aggarwal's LinkedIn Performance