r/AI_Sales

Everyone is talking about AI replacing jobs, but I think we're asking the wrong question.

The real question is:

How can AI help you build a business faster than ever before?

Today, a single entrepreneur can:

Create marketing content in minutes.

Build websites without writing code.

Automate customer support.

Analyze market trends instantly.

Launch digital products with almost zero upfront cost.

AI isn't magic—it won't build a successful business for you.

But it dramatically increases the leverage of people who are willing to learn and execute.

The biggest competitive advantage over the next decade won't be having more employees.

It will be knowing how to combine human creativity, critical thinking, and AI tools into efficient systems.

What AI tools have genuinely improved your business or side hustle?

I'd love to hear real experiences rather than hype.

TL;DR - These are the lessons I learned:
* Tried to validate demand for this big, great project - people on sales calls kept telling me they needed something else
* LinkedIn hates automation, but they're fine with content consumption

A while ago, the startup I was working at tasked me with building a process automation / AI agents framework. They tried n8n, Zapier and the usual candidates but didn't like them.

They liked the framework I built and thought about turning it into a product. So they started cold calling people to validate demand. The problem with cold calling: Most of the people you call aren't looking for a solution at the exact time you're calling them.

But one theme kept coming up: "Can we use this to automate find and contact leads?"

So, we built agents scraping LinkedIn for conversations where people were looking for what they had to offer. And it worked.

As it turns out, LinkedIn hates automation (automated posting, DMs etc.) and they take various measures against scraping (e.g. limiting profile search result count), but they're totally fine with content consumption. You won't get banned for scrolling the feed all day long - and neither will your AI agent.

So I built agents that do just that - and finds "warm" leads in the process.

I demoed it to a few more people and demo call gave me an idea. When I tried to explain to the other person how it worked: "Our agents are like a swarm of puffins scanning the ocean for fish - only the fish are your next customers."

And I thought, "wouldn't puffins make a fun landing page?". So I built prospectpuffin. Not because I set out to build a lead scraper. But because people kept asking for it. And because I like puffins. Let me know what you think.

I fed Claude a hundred of my past sales calls and asked it to identify my biggest mistake. I already had a hunch: not digging enough into the prospect's pain points, and it confirmed it.

Now I've automated it: after every call, it sends me a notification rating how well I qualified the client.

I'm still trying to improve the tool though. Has anyone else done something similar so I can improve it?

I built an AI agent that qualifies leads

automatically for e-commerce stores.

It:

→ Engages every inquiry 24/7

→ Asks qualifying questions naturally

→ Scores leads HOT / WARM / COLD

→ Saves everything to Google Sheets

I'm looking for 1 store owner to test it

completely free in exchange for honest feedback.

Try it live right now:

https://harsh309.app.n8n.cloud/webhook/aa04cb04-66d8-4da7-958c-ac206b671ebf/chat

DM me if interested.

So I work in commercial real estate, just me and two colleagues who do most of the client-facing stuff. We went to a local property investors meetup last Thursday and I finally tried handing out a digital card instead of paper ones for the first time. Honestly wasnt expecting much but I followed up with four new contacts before I even got home, which never happens when I'm fumbling around with paper cards days later trying to remember who was who.

Now I'm sitting here wondering if that was just a lucky night or if digital cards are actually worth building a habit around. Like do the results hold up consistently or was it just the novelty making me more intentional about follow-ups?

Has anyone else had one of those small wins early on and then figured out how to actually build on it? Would love to know what the next step looks like, whether thats getting the rest of the team on board or doing something smarter with the contact data I'm collecting.

Talked to a friend who works in B2B sales last week. He told me he uses ChatGPT to write every single follow up email now. Takes him 2 minutes instead of 20. His manager thinks he's just gotten really efficient.

And honestly? His numbers have gone up. Response rates are better because the emails are cleaner and more personalised.

The funny thing is companies are spending millions on "AI sales transformation" while their reps are already doing it quietly with a free ChatGPT account.

Whenever people talk about AI writing, the conversation usually focuses on generating content quickly. While speed is definitely useful, I think there’s another part of the process that deserves much more attention: refinement.

In my experience, taking the time to improve readability has a much bigger impact than simply producing more words. Rearranging ideas, improving transitions, shortening overly long sentences, and making each paragraph flow naturally can completely change how readers respond to an article.

I’m interested in hearing how others approach this. Do you spend most of your effort creating the first draft, or do you believe the editing stage is where the real quality comes from? I’d love to hear about different workflows and learn what has helped other writers consistently produce content that feels natural and engaging.

We witness the response on emails, phone calls are all getting screened by AI. Due to this, LinkedIn is the only source but is also getting very crowded . Therefore, prospecting contacts are becoming increasingly difficult . Other than collaborations partnerships, what other methods are we using for prospect reach out?

I've been reviewing how digital marketing is changing, and one thing stands out: AI assistants are becoming a major source of information for users. People are asking direct questions and expecting instant answers, which means brands have a new challenge being included in those responses.

This has made me think that SEO alone may no longer be enough. Monitoring AI mentions, understanding why competitors appear more often, and building a strategy specifically for AI generated answers could become an essential part of online marketing.

Has anyone here adjusted their content or marketing strategy with AI recommendations in mind? I'd really like to know what's working for others and whether you've seen measurable results.

Hey, I need advice

I am a freelance developer .

But I know of nothing sales.

What’s the best way to generate leads on social media?

Also, what the best way to cold message?

I kinda already have one lead, but I know in sales, lead generation is only like 10% is a success rate.

Yes, I’m already:

making demos on YouTube. My portfolio is new so I’m working on it.

Built an AI agent that researches prospects and generates personalized email + LinkedIn outreach drafts in under 60 seconds.

I originally built it because I kept seeing SDRs and founders spend a huge amount of time researching prospects before sending outbound messages. Most outreach ends up generic simply because deep personalization doesn't scale manually.

The workflow currently:

- Researches prospects and companies using public signals

- Extracts relevant context and filters noisy information

- Generates personalized email and LinkedIn drafts

- Keeps humans in the loop before anything gets sent

I've started using it myself for outreach and one interesting piece of feedback so far has been that personalization alone isn't enough—the bigger opportunity is identifying likely pain points from company signals and framing outreach around those.

Still very early and validating the idea. I'd genuinely love feedback from people doing outbound today:

I have shared the demo link in comments.

What feels useful, unrealistic, or completely missing?

Every sales platform seems to have an AI feature now, but I'm interested to know how much of it is making managers better coaches and how much is just creating another dashboard to check. We've been experimenting with different tools like Rilla and one thing that's stood out is that it seems to reduce the time spent trying to figure out what happened on a customer interaction. That said, coaching still comes down to what managers do with that information. For those using AI in sales coaching, has it genuinely changed the way your team develops reps or has it mostly added more data to sort through?

so, my sales team tends to go with their gut when making decisions, but its leading to missed opportunities. Gut instinct doesn’t fix a 40% bounce rate on your contact list. i get that experience matters, but its frustrating to see them skip over data that could help them close more deals.

how do i get my team to trust data over intuition?

What do you think are the biggest challenges for a platform that tries to improve brand presence inside AI tools like ChatGPT?

If a system analyzes competitor visibility, tracks AI mentions, and builds a step by step plan for improvement, it sounds powerful but I wonder how accurate those insights can really be.

AI responses are not static search results; they change depending on context, user prompt, and model updates. So how would a tool reliably measure or predict where a brand appears?

Is AEO actually the next evolution of SEO, or is it still too early to define meaningful optimization strategies for AI-generated answers?

Artificial intelligence has become a major part of online content creation. Many people now use AI tools to generate ideas, create drafts, and improve their writing process. This has made it easier to produce content in less time, but it has also created discussions about quality and originality.

Sometimes AI-generated text may sound too predictable or lack the personal style that readers expect. This is why many creators focus on improving their content after using AI. Making the language smoother and the message clearer can help create a better reading experience.

AI can be a useful assistant, but the final result depends on how people use it. Combining technology with human creativity can help produce content that is both efficient and meaningful .Do you think AI is helping writers become more productive, or is it changing the value of human writing?

I’m building VideoContent.uk, a tool that helps small businesses generate short-form videos and publish them across their social channels.

The product works, but customer acquisition is currently the bigger challenge.

So far, I have:

Published videos across the connected social accounts

Tested different industries and content categories

Added scheduled and automatic posting

Built plans for businesses that need recurring content

The problem is that most videos receive only around 40–50 views (depending on the platform) , and this has not translated into meaningful business sign-ups.

I am trying to determine what could be the issues be?

My current positioning is essentially: generate and publish business videos without hiring an agency or spending hours creating content.

For founders who have marketed a SaaS product to small businesses: what would you test first—one industry-specific landing page, direct founder outreach, free sample videos, or something else?

Disclosure: I’m the founder of VideoContent.uk. I’m looking for direct criticism rather than link clicks.

I often hear that fundraising takes much longer than most founders expect, which makes me wonder when the preparation should actually begin. Is it something you start a few weeks before contacting investors, or should you be preparing months in advance by organizing financials, improving your pitch, and researching potential investors?

For founders who have already gone through the process, what did your preparation timeline look like? Looking back, was there anything you wish you had started earlier? I'm trying to avoid rushing into fundraising before everything is ready, but I also don't want to spend so much time preparing that I miss good opportunities.

any serious advice because leadership is completely obsessed with buying every shiny new platform right now. they keep pushing all these different ai-powered tools for sales, marketing, and customer support thinking that if we just automate every single department we can magically cut costs and double our output overnight. but the actual reality on the ground is a massive headache because none of these niche tools talk to each other, and my ops team is spending all week trying to build custom webhooks just to keep our core data synced.

instead of saving us time, we’ve just created a tangled web of disconnected software that is making our workflows twice as complicated. the marketing ai is generating low-quality leads that the sales ai doesn't know how to qualify, and the customer support ai is hallucinating answers to technical tickets because it doesn't have real-time access to our actual crm records. our employees are now spending way more time logging into separate dashboards and auditing automated mistakes than they are actually doing their real jobs.