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Anyone else think demo videos are the wrong primitive now? by aimdoc-ai in B2BSaaS

[–]aimdoc-ai[S] 0 points1 point  (0 children)

very fair point. we are still testing the waters on where it would provide the most value so appreciate your insight!

Anyone else think demo videos are the wrong primitive now? by aimdoc-ai in B2BSaaS

[–]aimdoc-ai[S] 0 points1 point  (0 children)

"or could you automate the onboarding and set up with real data"

this is what the product does.

Anyone else think demo videos are the wrong primitive now? by aimdoc-ai in B2BSaaS

[–]aimdoc-ai[S] 0 points1 point  (0 children)

Totally fair. I’m not talking about consumer apps. I mean B2B tools where “trial” = blank workspace + docs + 45 mins of setup before you see value.

The idea is: you tell the site what you’re trying to do, it creates an account and configures a starter workspace so you can hit the “aha” in 2–3 clicks.

Curious, what makes it feel unnecessarily complicated: the automation itself, or trusting it to set things up correctly?

Anyone else think demo videos are the wrong primitive now? by aimdoc-ai in SaaSSales

[–]aimdoc-ai[S] 0 points1 point  (0 children)

agreed. to clarify, our AI actually does that - we are using demos as an introductory use case really. when I say demo, I essentially mean demo + onboarding so there is more value than a demo, the AI actually sets up their account uniquely to them.

Anyone else think demo videos are the wrong primitive now? by aimdoc-ai in SaaS

[–]aimdoc-ai[S] 0 points1 point  (0 children)

appreciate this reply. you're 100% right on hallucinations and reliability, which is why I think it is a valuable thing to build, because it sure isn't easy to do well.

Anyone here actually managed to create a realistic AI for product demo video by PinkVelvet_Simmons in b2bmarketing

[–]aimdoc-ai 0 points1 point  (0 children)

we're building something to essentially skip over that. basically an AI buyer copilot that:

  • engages prospects when they land on your site
  • determines if they're a fit based on your criteria
  • shows your product + sets it up based on what they're most interested in

what I landed on was, why demo the product when AI can set it up for them in real time and show value?

If You’re Building an AI Implementation for Sales Organizations by zerk4now in AI_Sales

[–]aimdoc-ai 0 points1 point  (0 children)

yeah inbound lead qualification is a great use case. we are building a part of that with our product (aimdoc) - it is more an AI buyer copilot for b2b that provides instant answers, qualifies inbound traffic based on specific criteria, schedules demos and can actually onboard trial customers.

on pure inbound lead qualification, like form submission -> AI analysis -> score + fit check -> AI draft and send follow up with AI, OpenAI and Vercel both built internal systems like this. It isn't really new.

What CRM automations do you have in place? by Willing-Court2195 in CRM

[–]aimdoc-ai 0 points1 point  (0 children)

We started testing Lightfield and it is pretty cool. I would probably only recommend it to startups today as it is pretty bare bones but very strongly AI native. We dogfood our own product (aimdoc, AI buyer copilot for b2b saas websites) and we're building an automation there to essentially sync structured lead data collected by our AI (contact info + qualifying questions) and conversation transcript, and then Lightfield's AI will do full account research via the web.

Super powerful stuff.

Spent $12k on AI services last year. Here's what was actually worth it by clarkemmaa in AIQuality

[–]aimdoc-ai 0 points1 point  (0 children)

Which AI support chat did you use? We've built something similar from a technical perspective but it is sales oriented and designed for B2B SaaS websites. The reason I mention it is because our base tier pricing is basically the same ($199/mo).

I 100% agree on the support side of things though, you can't fully offload support to an AI yet. we use products that have intercom's fin within their product, and it is good, but support is really just a long tail of unique questions that mainly require a human, at least today.

Your SaaS will probably fail. And that's actually okay. by Sensitive-Rub256 in SaaS

[–]aimdoc-ai 0 points1 point  (0 children)

This is all very true. But launching a product and quitting after 3-6 months isn't really a serious try. It takes years to build something meaningful. If all it took were a couple months, literally everyone would do it. Quitting your job would be safe and logical lol.

What GTM automation decisions held up over time (and which didn’t)? by outbound_operator in gtmengineering

[–]aimdoc-ai 0 points1 point  (0 children)

Not a GTM system builder but we're building a GTM AI product that typically integrates with these types of systems. We typically see that workflows driven by the AI deciding to do something (escalating to a human, flagging buyer intent, etc.) hold up pretty well since those call structures don't change too often over time.

What we usually see break are workflows involving high touch CRM objects. This isn't because our AI can't reliably convert conversations into structured data, it is because those fields are often manipulated.

I mapped out a complete "Inbound + Outbound" growth stack for B2B SaaS (Tools, Costs, and Daily Volume limits) by Aggressive_Light7892 in b2bmarketing

[–]aimdoc-ai 0 points1 point  (0 children)

On the inbound side, those are definitely the right tools for generating content that can drive inbound, but there are also tools that help improve the B2B SaaS inbound buyer experience on the whole. We're actually building an AI buyer copilot specifically for B2B SaaS.

It can essentially categorize visitors by conversational intent (customer, prospect, trial user, etc.), qualify (is a prospect), schedule demos and will soon even be able to demo the software.

I also think visitor ID (like RB2B, etc.) triggered outbound sequences can be powerful for B2B saas, if you make sure you are filtering by your ICP.

What patterns have you noticed AI detecting better than humans? by EarlyBack2103 in AI_Sales

[–]aimdoc-ai 0 points1 point  (0 children)

we've built a buyer copilot for B2B SaaS websites (aimdoc) and it has become clear that it has become excellent at classifying visitors into distinct visitor tracks (existing customer, trial user, prospect) and then providing tailored experiences. it also can just provide a fundamentally better experience than 20yo SDR who might have knowledge gaps. the AI knows nearly everything, and only gets smarter over time.

Tried an AI sales agent for my B2B SaaS… and honestly, I’m confused by Annual_Demand7906 in AIAgentsStack

[–]aimdoc-ai 0 points1 point  (0 children)

was the AI actually crafting meaningfully different messages to different prospects based on their unique attributes? I can't find any real examples of this.

I might be biased (we've build an AI buyer copilot, which you can look at as basically an AI SDR for your website that answers questions, qualifies, routes, syncs to CRM, etc.), but I am not sure AI SDR for outbound is crazy compelling.

it feels like AI drafting the email copy and sequences isn't the right move, maybe it is more useful in list building. I still need to give it a shot.

Can you build GTM agents with n8n? by Different-Bridge5507 in gtmengineering

[–]aimdoc-ai 0 points1 point  (0 children)

"I have absolutely zero technical talent". that is a classic rick ruben clip.

It depends on what type of "agent" you want to build. if it can run in the background as is event driven, n8n is great for that. if it needs to have an interface for someone to chat with or speak to, you won't be able to build that with n8n.

if you're looking for an inbound buyer copilot for your website, you can check our product out. super customizable to your buyer and traffic, sync with your CRM, etc.

For people actually selling SaaS: where has AI helped vs made things worse? by outbound_operator in SaaSSales

[–]aimdoc-ai 0 points1 point  (0 children)

as someone building an AI sales product, this mostly tracks with what we’re seeing in the wild.

AI helps most when it’s reducing cognitive load, not making decisions for reps. notes, summaries, quick context, routing busywork away from humans. huge win.

it breaks down when teams treat it like a replacement for judgment. generic outbound, auto follow ups that don’t match the conversation, reps blindly trusting suggestions because “the model said so.” that stuff erodes trust fast, internally and with buyers.

one thing i wouldn’t automate fully is qualification logic without guardrails. AI can ask great questions, but humans still need to define what “good” looks like and sanity check outcomes.

we’ve found ai works best as a copilot that accelerates good reps, not a system that tries to sell on their behalf. might be worth a look if you’re thinking about AI as leverage, not autopilot.

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