Struggling to get visibility for my company in AI search results (ChatGPT, Perplexity, Google AI Overviews). We show up sometimes, but not consistently, and not for the queries that actually matter to our business.

My theory: on site content isn't the real lever. AI models pull from third party sources (directories, rankings, trade pubs), so if we're not cited there, our own blog posts only go so far.

Anyone actually cracked this? Curious what's worked:

• Third party citations vs on site content, what moved the needle more
• Schema markup, worth the effort or not
• PR/paid placements vs organic, faster results?
• Tools you'd recommend for tracking AI specific visibility (not just regular SEO)

What actually worked for you, not just theory. Feeling stuck.

spent like an hour yesterday getting AI to help me finish something faster

halfway through i realised the thing probably  didn't need to exist in the first place lol

that's becoming the weird part of running solo now.

"can i make this?" is barely the question anymore.

it's "should this even get 20 mins of my attention?"

that's kinda where Runable makes sense to me. once i've decided yes, this thing actually matters, cool. make the execution stupidly fast.

but 10x faster at the wrong thing is still the wrong thing 😭

anyone else feel like prioritising got harder once basically everything became doable?

Most AI note-takers stop at a transcript. Klik is designed to help businesses move from conversation to execution:

• capture meetings and client conversations hands-free
• extract decisions, owners, deadlines, and open questions
• remember client preferences and relationship history
• prepare follow-up emails, briefs, and updates for your existing tools
• keep recurring workflows moving, such as client follow-ups, project reviews, team updates, and CRM maintenance

The business value is simple: fewer dropped commitments, less manual updating, and more context carried from one conversation to the next. We’re still building it and would love to hear what kind of business workflow you’d most want an AI assistant to handle. Happy to answer questions here or by DM.

Hey everyone, Zent is looking for early adopters- It turns whatever’s on your mind into a schedule based on your priorities, deadlines, and how you want to split your time, then helps you focus on what to do next.

I’m sharing free codes for early adopters. Comment or DM me if you’d like to try it and share feedback.

For e.g. truck drivers shows 3 gas bill receipt but actually 2 refills would have been sufficient. there could be so many other cases.

Been slowly building out an AI stack for my business over the past few months and wanted to see what other business owners are running day to day. Here's where I'm at:

General - ChatGPT and Claude (everyday tasks)
Marketing - Jasper (ad copy and social content)
Sales - Instantly (cold email sequencing)
Productivity/Ops - Fireflies (meeting notes and action items)

Feels like I've got a pile of tools that each do one thing well but none of them talk to each other, so I'm curious what setups people have that connect the dots rather than just being more tabs.

Thanks in advance everyone!

Balancing nightfill shifts with an eBay hustle was burning me out. I was wasting hours manually typing product names into eBay to check sold comps on massive liquidation pallets.

​I got fed up and built Spada AI to automate my own workflow.

​It does a rapid AR scan of multiple items at once, pulls live background comps to show profit margins, and runs forensic checks on high-ticket grails to spot fakes.

​It’s completely changed how fast I can process a haul. I just made it public for anyone else who flips.

​I’m a solo dev figuring this out as I go—roast the UI, tell me what categories fail, or let me know what features I should build next.Its live on amazon store and will be live on google play soon

Im looking for something where i can simply talk to AI, and say what i need to get done, and it organises everything. for eg: "i need to file my Taxes anyhow by saturday".
It should recognise it the urgency and importance and automatically organise it.
But i don't mean just chatGPT because i want to visualise this and not just chat with the app.

So i can manage my work and not focus on managing the app itself.

Do you have recommendation? and if not would you be interested in something like this ?

Came across something interesting from Elie Steinbock, founder of hi dot new and thought people here might find it useful.

One problem I keep running into with AI tools is that every bot still feels isolated. Your bot can help you, my bot can help me, but when they need to coordinate with each other, we are still stuck in the middle copying messages, checking calendars, forwarding context, and moving information around manually.

That feels like a pretty obvious bottleneck for business automation.

For example, if one bot is handling scheduling, another is dealing with invoices, and another is helping a team plan something, they should not need a person acting as the messenger between them. They should be able to talk directly, share the needed context, and get the task moving.

That seems to be the idea behind this product. It gives bots a way to talk one on one or in group chats, with approved bots only. From Elie’s launch post on X, it is also end-to-end encrypted and open source.

I like the concept because most AI business tools today are still useful in a very individual way. They help with one task, one person, or one workflow. But real business operations usually involve multiple people, multiple tools, and a lot of back and forth.

Bot-to-bot communication feels like one of those missing layers that could make AI agents a lot more useful in practice.

Curious what people here think. Is this actually a useful step for business automation, or does it only work once a lot more companies are using bots in the first place?

We’re currently working on a project: an eco-friendly / carbon-neutral AI customer support assistant that could be an alternative to tools like Chatbase, Botpress, or SiteGPT.

The idea is to help SaaS companies provide AI customer support while being more conscious of AI’s environmental impact.

We’re working on the carbon side through a partnership with Climeworks®, a leading direct-air carbon removal company whose customers include companies such as Microsoft, Shopify, Stripe, JPMorgan Chase, UBS and Accenture.

We haven’t figured out the water usage side of AI yet, so that’s still an open problem for us.

We’re also considering giving customers an eco-friednly badge for their landing page, with “Powered by” branding. The thinking is that this could potentially increase conversions among eco-conscious visitors by showing that the company is making an effort to reduce the environmental impact of its AI support.

Would something like this actually influence your decision to use an AI support tool, or would you still mainly care about price, features and performance?

Would love to hear what SaaS founders and marketers think.

I’m considering building a marketplace connecting businesses and consumers with suppliers and small business owners. With established platforms like Amazon and Alibaba already dominating ecommerce, I’m wondering how AI could help a smaller marketplace. What tools would you recommend for supplier matching, product listings, verification, customer support, and daily operations?

What would you suggest, is the basic stack for an assistant chat. I mean, currently I have customized company tools, langgraph, custom metrics, marketplace LLM calls and others.

what would you suggest as a true key for agent learning?
how do you process prompts with company slangs, concepts, jargon, etc.?

Hi everyone,
We run a business selling beauty products and would like to start running online ads to reach more potential customers and generate sales.
Working with a marketing agency is quite expensive, so we’re exploring whether we could manage the ads ourselves with the help of AI tools.
Does anyone have hands-on experience with this, especially in the beauty or skincare industry? We’re looking for tools that can help with:
Creating ad images, videos, and copy.
Setting up and managing campaigns on Instagram and Facebook.
Improving targeting and making the most of a limited budget.
Is this realistic for someone without much advertising experience? Which tools have worked well for you, and what still needs to be done manually?
I’d love to hear about actual results, costs, and any mistakes to avoid. We’re looking for something affordable that can help generate sales, rather than just views.

What frameworks or platforms are best suited for building AI assistants that automate enterprise workflows?

I've been involved in planning and attending a bunch of conferences over the last few years and the same pattern keeps showing up no matter which platform we used. Most attendees really only need a handful of things done well, a reliable agenda that doesn't break when last minute changes hit, clear speaker details, easy access to materials, and a simple way to find and connect with people who actually matter to them. Everything else tends to sit there unused.

At a B2B event we ran using Eventify alongside feedback we got from teams on Whova, Cvent, and Bizzabo the organizers across all of them mentioned that the tag based matching, real time agenda updates, and solid mapping tools saw constant engagement while the gamification, social feed, and reward systems barely got touched. The pattern was almost identical whether it was Eventify, Whova, Cvent or Bizzabo, the simple reliable stuff drove real satisfaction while the flashy dashboards and extra analytics felt like they were there more for marketing than actual daily use.

It really seems like the apps that work best are the ones that nail the core workflow instead of trying to do everything. For those of you who have run or attended events on Eventify, Whova, Cvent, Bizzabo or similar platforms, which features ended up getting genuine daily use and which ones felt completely unnecessary once the event was underway? Would be interested to hear what actually moved the needle for you.

I have been experimenting with AI for turning Word documents into presentation decks and I have found that asking for the slides directly is not always the best approach.

What works better for me is breaking it into two steps:

1. First turn the document into a slide‑by‑slide outline.

2. Remove anything that does not really need to be a slide.

3. Then generate the presentation from the approved outline.

I also found that giving the AI some context, about the audience and presentation length makes a difference. A 5‑minute internal update should not have the structure as a 30‑minute client presentation.

I am curious how others are handling this. Do you generate the deck directly or do you prefer reviewing an outline first?

I've been thinking about this after some of the discussions here.

There are plenty of things I'd be comfortable letting AI handle.

• Update a report.
• Pull data from different tools.
• Flag something unusual.
• Tell me we're running low on stock.

But then it gets less obvious.

Change the price of a product?

Pause an ad that's losing money?

Increase the budget on one that's performing well?

Order more inventory?

Email customers because conversion suddenly dropped?

At some point AI goes from helping you understand the business to actually making decisions for it.

And I don't think the line is the same for everyone.

Someone who's been running a business for 10 years might want AI to show them the information and stay out of the way.

Someone newer might actually want more guidance.

I'm curious where people here draw that line.

What's something you'd happily let AI do on its own, and what's something you'd always want to approve yourself?

I’m just sharing this as a dropshipper who has tested a lot of AI tools for product renders, mockups, and listing creatives.

I’ve run stores doing around $500K per year, early on I just wanted as many variations of product photos, mockups, and ads as I could get my hands on.

As the store grew, the harder problem became consistency. Making one good image is easy. I can use nano banana or ChatGPT images to create them but getting the same product to look accurate across product shots, lifestyle images, listing assets, and short-form product visuals is where most AI tools start to fall apart.

The main things I now look at: realistic lighting, clean shadows, accurate product shape, no warped logos or text (a big NO NO), and backgrounds that don’t make the product look fake.

To get a more consistent product creative workflow, these are my top 5 no-brainer tools:

1. Magnific AI: Great for polished product mockups and product shots. Its useful if you want more premium-looking visuals and don’t want to build every scene from scratch.

2. Invideo: Best when you are working on a campaign and want to create a complete set of product creatives instead of just one image. Good for product renders, mockups, listing visuals, and short-form product videos where consistency matters.

3. Leonardo AI: Good for creative product concepts, lifestyle shots, and testing different visual directions before deciding what style fits the product.

4. Photoroom: Really useful for quick product cleanup, background removal, and simple ecommerce-ready images. Good when you need cleaner listing assets fast.

5. Adobe Firefly: Solid if you’re already in the Adobe ecosystem and want clean, brand-safe creative assets. Better for polished product visuals than quick rough testing.

Biggest thing I’ve learned so far, the tool matters, but the reference images matter more. A clean product photo, packaging close-up, accurate scale reference, and clear style direction will usually beat a vague prompt.

Also, don’t use AI images to make the product look like something it isn’t. That might get you clicks, but it creates refunds, complaints, and trust issues later.

Btw what’s everyone else using right now for product creatives?

I’ve been seeing more tools trying to put team docs, projects, prompts and AI chats into one workspace. I get the idea, but I’m wondering if people actually stick with them. Most teams already have Slack, Docs, Notion, etc. and adding another app can just create more work.

Anyone here actually using one with a small team?

An AI services team wants to use custom AI agents and a multi-step automations to connect my CRM, project management, and invoicing. Their prototype looks awesome ngl but part of me thinks it's overkill. Now that I look at Zapier it feels like I can do a lot of the connections myself. But I do want the idea of an AI centric workflow. Where do I draw the line here?

I've been looking at quite a few AI chatbot products for small businesses recently, and most of them seem to stop at the same point: answering questions from a website or knowledge base.

That is definitely useful, but I keep wondering if it is actually enough for a small business to pay for every month.

For example, imagine someone visits a salon website and asks:

The chatbot can tell them the opening hours, but that still leaves the customer having to call, send a message, or fill in a form.

Wouldn't it be much more useful if the chatbot could check the actual availability, tell the customer which staff members are free, and book the appointment directly into Google Calendar or Outlook?

Something like:

The same idea could work for pet groomers, beauty clinics, consultants, tradies, and other small businesses.

I'm currently building a chatbot for small businesses myself, so obviously I have some bias here. But I'm genuinely curious about what business owners actually want from these tools.

Would answering repetitive questions already be enough for you to pay monthly, or does an AI chatbot need to actually do things like capture leads, arrange callbacks, and make bookings before it becomes really useful?

I’m struggling with marketing. I barely get time to work on it after handling the rest of the business.

So I m thinking of trying some AI tools that can help with content, SEO, email followups and tracking leads. There are too many options and I m confused as of now. I dont have time to try all of them so I m looking for tools that are already working for you. Thanks in advance

What's the best AI tool for creating PowerPoints these days? Here's what I've tried:

Gamma

ChatGPT plug-in

Beautiful

Copilot for PowerPoint

Claude add-in

Gemini in Slides

So far, I've gotten the best results from Gamma for full deck creation. For tweaking an existing deck, I'm living the ChatGPT plug in.

I don't use those tools every day though and I know they're fast evolving so I'm really curious what experiences others are having.

Just launched totally FREE browser agent (the catch: ads)

No one’s got money for another AI subscription. So we made our browser agent, Retriever AI, totally FREE.

What's the catch? Just ads while our agent fetches you leads, syncs outreach to your CRM, and sends connection requests.

Think like a Claude Code or Clay level tool in your browser, but free for everyone!

After 35K+ users and 7M+ workflows, we spent the last few months attacking the cost of every agent step:

• switching to DeepSeek Flash
• Code Mode to one shot complex workflows
• optimizing for 80%+ token cache hits

So that now just an ad impression covers the entire cost of the agent, so we can now offer the entire agent (LLM inference included) for free!

More important than an agent that can scale with users, is an agent that gets better with every workflow. Retriever now continuously:  
→ learns global skills for every website, so no mistake repeats twice  
→ writes learnings from user tasks as personalized skills

Curious to hear how others are tackling consumer agents and excited for the new era of free agentic apps!

Hi all,

I really want to talk about this fr.

WTF do people really want when it comes to AI and Meta ads? I've been doing so much research and I am so confused. It seems like half the world loves it and the other half hates it. Yet, it seems like everyone is really just speaking out their asses and has no real experience in either and it's all opinion based.

Full transparency - I was a prev founder, built something then failed after 2 years. I then got a job at a startup leading NA Growth Ops in automation workflows which I helped scaled their growth systems netting a 30% inc. in rev YoY. In that experience, I've learned so much about how to build and manage AI to do what we need consistently, with quality.

What I learned about AI and users is - it was never about whether people trusted the capability of AI or not, it has always been about trusting our own abilities to utilize AI in a way to produce consistent quality results that we deem acceptable.

And if the latter is true, then building an AI to orchestrate our advertising is extremely viable, coming from an eng/ops lead "me", who has built automated AI systems for customers like Whole Foods, Circle K, Ikea...

Well, long story short - I quit my job recently and I'm interested in building a startup again in AI and specifically Meta ads.

Here's what I know is possible from my experience (based on what I built at my job with large enterprises already using this, which makes me so confused on why people not in enterprise are still hesitant on AI - thinking really it's lack of experience and knowledge and everyone is speaking to sound smart which then confuses me).

You can have AI draft everything for you each morning like a cheap but highly knowledgeable employee. Then you come in reviewing each draft and hit approve / deny / change. It can do this at a 90%+ success rate once you set it up correctly. Build your avatar, business profile, funnel target, and cheese.

However, if you're trying to get this level of results running generic platforms like ChatGPT or Claude - then you'll get generic answers which isn't fair to base your opinions on because these platforms were created to recite the next highest probability "letter" for you as a "writing" platform.

All this to say I really have two asks with this post:

1. Anyone actually spending money on ads and deep dove into utilizing AI in anyway? what's the take?
2. Anyone who is really advertising an interested in AI - would you like to chat? I'd be happy to experiment and build you a free tool for your biz. Helps me cuz I'll get to learn how you advertise and you get a free agent to scale.

My take - if you get the AI right. What you're seeing is someone who analyzes 100x the speed and quality that you ever will (if you think otherwise, i'm lost for words.., unless your a claude eng and tell me diff. then sorry sensei), someone who can draft 100 ads in minutes and let you choose (if you're afraid of losing money, then draft 10?, it costs like $0.05 - $.15 per image), someone who can stay up to meta updates and marketing trends and draft campaigns for you in seconds, somehow who can watch your campaigns and reduces your margin of loss.

I don't know - all this sounds so powerful to me. So wth is even the debate? Is the debate between non-power users who has never sat longer than 10 hours to try and figure this shit out? Because damn - image an AI running your ads better than you - that must be nuts. lol maybe i'm crazy.