Seeking AI visibility & community-led growth roles

socialbutterfly

Hey all, I'm on the hunt for new opportunities in digital marketing, community growth, and AI visibility strategy.

Over the past couple of years, I've been deep into:

📌 Reddit and Quora marketing
📌 Community-led growth campaigns
📌 Generative Engine Optimisation (GEO)
📌 AI visibility across ChatGPT, Gemini, and Perplexity
📌 Reputation and online narrative management
📌 Content strategy and execution

My focus has been on helping brands improve discoverability and organic visibility through communities and AI-driven search - less about gaming algorithms, more about influencing the sources AI trusts (discussions, comparisons, reviews, real UGC).

Open to:

✅ Full-time roles
✅ Freelance projects
✅ Remote opportunities
✅ Agency collaborations

If you're hiring or need support in growth/community marketing, I'd love to connect.

24fire

I've found that in this niche, your actual portfolio carries far more weight than any job title. Most hiring managers still can't properly evaluate geographic experience, but they can absolutely assess something concrete - like the number of times your brand gets cited across ChatGPT answers for specific queries, or how many leads you've driven from Reddit threads. Lead with that proof, not the buzzwords.

sleepermode

the measurement challenge with AI visibility is a huge sticking point for me. I've spent a lot of time setting up tracking on platforms like ChatGPT's Browse and Bard's surfaced snippets, but attribution feels fundamentally different to Reddit or traditional SEO. on Reddit you get direct engagement metrics-upvotes, replies, link clicks-so you can actually correlate a spike in traffic to a specific post. With AI platforms, you're relying on indirect signals: branded search volume after a model mentions your content, or a bump in referral traffic from a known AI crawler. I've built a little Python script that parses server logs for user-agent patterns from OpenAI and Google's AI bots, then cross-references those sessions with downstream conversions via UTM parameters, but the sample sizes are tiny and the variance is brutal. one thing I've found useful is focusing on "positioning" that also generates measurable Reddit threads-content that works in both channels makes the ROI easier to defend. Would love to hear if anyone else has cracked a reliable attribution model for the AI side, because right now it feels half theory, half guesswork

emailwiz

I spent months chasing automation tools and keyword hacks before it finally clicked. Visibility in online communities isn't about gaming anything-it's about understanding which specific groups have the highest density of people with the exact problem you solve. Most people fail by aiming for the biggest, loudest spaces where you just get drowned out. The real move is to find those smaller, niche pockets where users are actually asking questions. Then you show up with a genuinely helpful answer that doesn't feel like a pitch. Provide real value first, and the visibility follows. It took me way too long to learn that.

analyticsjunkie

Love seeing people dive into AI visibility. Just brace yourself for Reddit mod tantrums and community gatekeeping. Still a high value domain. if you don't get banned first.

socialbutterfly

Honestly, that's the smartest foundation. Brand reputation is everything - especially when you're playing in AI visibility or community-led growth. Without trust, no amount of Reddit karma or flashy tools will save you.

A few things I've found work well:
🔹 Transparency - Be upfront about how you use AI. Audiences smell BS from a mile away.
🔹 Consistency - Show up in the same communities, with the same voice, not just when you need something.
🔹 Real value - Drop knowledge without expecting a return every time. That builds the kind of reputation that survives algorithm changes.

You're on the right track.

prpro

Tracking it feels like measuring fog with a ruler - any clever tricks?