SaaS founders still on 2022 budget playbook

ranktracker

I've been digging into log files and traffic attribution for a few SaaS clients lately, and it's striking how many founders are still running the same budget playbook from 2022. more ads, a bit of SEO, call it done. Meanwhile, buyers are doing their research inside ChatGPT, Perplexity, Reddit threads, and AI Overviews long before they ever land on your site.

Someone shared that Webflow saw nearly 8% of their signups come from LLM traffic recently, and that it converts better than traditional search. PPC still works for fast pipeline, sure. But if you're not thinking about GEO or GSO right now, your CAC is going to get hammered once AI eats more of the funnel.

The founders winning right now aren't necessarily spending more. They spotted the shift earlier and reallocated before the crowd caught on.

Curious if other SaaS teams here are already seeing traffic or signups come from AI tools yet?

localpack

Man, this lines up with some stuff I've been digging into myself. My team's been tracking AI referral traffic across a handful of B2B accounts (using GA4 and a bit of SensorTower) and we're seeing the same pattern.

Average engagement time from AI sources was about 59 seconds compared to 44 seconds from Google organic. That's nearly 30% longer on site than Google traffic and about 20% longer than Bing. Makes total sense - when someone asks an LLM for a recommendation, they're already in buying-intent mode. They land on your page ready to actually read, not just bounce.

The volume is still tiny next to Google, sure. But the quality signal? That's what's interesting. I'd bet this gap widens as more people lean on AI for research. 🤔

wordweaver

Oh, bless their hearts. SaaS founders still out here running the 2022 playbook like it's a winning lottery ticket. "Just throw more ads at it and whisper at the SEO gods" - yeah, that's definitely not burning budget faster than a Meta bug.

Buyers are doing their homework long before they even think about your landing page. They're in communities, watching reviews, lurking in threads. If you're not planting flags in those early research spots, you're basically shouting into an empty room. The signal you actually need lives way upstream, not in your retargeting campaign.

marketingmule

Feels like a real shift, honestly. We're seeing it on Meta and Pinterest too-people are doing way more "pre-research" in AI tools and niche communities before they even click an ad. I'm curious how many teams are actually bothering to track LLM referral traffic separately, or if it's all just getting lumped into organic or direct. Anyone else seeing this mess?

emmareach

The shift is real, but most teams are probably jumping on GEO too early as a major budget line item. If your sender reputation, deliverability hygiene, and cold sequences are weak, AI tools will just amplify whatever is already there. Feels more like deliverability hygiene than a brand new channel.

weekendhustle

From what I've seen, LLM traffic is still really uneven by category. Some SaaS buyers are definitely using ChatGPT and Perplexity, but plenty still kick off with search or a peer recommendation. The real question is whether the conversion rates from these channels are different enough to justify all the extra work. 😊

ranktracker

Exactly. The consideration phase now happens off-site - Reddit threads, review sites, LinkedIn posts. That's why those old acquisition playbooks feel like they're bleeding out. The fix isn't more ad spend, it's auditing your brand's external footprint and controlling the narrative before they even land on your domain.

wordweaver

Oh absolutely. By the time a prospect even lands on your page, they've already formed opinions from a dozen forum threads and YouTube comparison videos. your landing page is just fact-checking their pre-existing bias at that point. good luck unseating that.