u/Quiet_Awareness_7568

It was fun for the first few weeks building landing pages in 30 seconds, but trying to maintain a complex repo where half the logic was 'vibed' into existence is becoming a massive headache.

I feel like we’re accidentally trading an hour of typing for five hours of architectural debugging later on. I’ve started going back to manual typing for my core research logic just so I actually know where the technical debt is hiding.

Is anyone actually successfully managing a large-scale project with these agents, or are we all just building 'disposable software' now ?

I think Reddit is going to kill AI search and ultimately Reddit.

1. Reddit sells access to our posts to major LLMs. AKA...they sell the data
2. Reddit becomes the primary source for a large portion of LLM query fanout and citations
3. Content creators figure this out and flood Reddit with AI generated content and brand spam

Reddit becomes AI slop - AI creates AI slop, the slop is posted to Reddit, AI suggests it's own slop in citations.

The circle of life has been defined and we're all participating in it's decline.

Heard something on Curiouser & Curiouser podcast recently that I found super interesting, thought id share here.

The guest framed agentic AI in a way I hadnt considered. Its not a new threat category. Its just the first thing fast enough to exploit all the security shortcuts we’ve been taking for years. Think of it, overprivileged APIs, secrets in env files, no runtime monitoring etc. Agents arent the problem, we are. Theyre just the first thing moving fast enough to make our mess visible.

Curious what you all think.

Hi all! I wanted to share my workflow because I see the recommend me an API for SEO software question pop up here every other week and the answers are usually just brand names with no context.

Quick background: I run SEO for a small agency (8 clients, mostly B2B SaaS) and about 18 months ago I got tired of logging into 4 different dashboards every morning, so I started piping everything into a single Notion + Looker Studio setup through APIs.

• What I'm actually pulling:
• keyword positions daily
• backlink deltas weekly
• competitor rank changes
• GSC data
• on-page audit issues for our priority pages

Tbh the biggest unlock wasn't the data itself - it was building automated alerts so I find out about a lost #1 ranking before the client does.

For options on the market right now: Ahrefs and Semrush are the names everyone defaults to, but unless you're at an enterprise agency with a dedicated data team, the pricing and minimum commitments are honestly overkill - you end up paying for capacity you'll never touch.

Now I use SE Ranking - they expose rank tracking, backlinks, keyword research, and site audit data all through a single API, the pricing is per-request so costs scale with what you actually use, the data refresh cadence has been solid for client reporting, And lol, their support has answered every weird integration question I've thrown at them within a day.

Majestic is still around if you specifically care about link metrics.

If you're an SEO professional evaluating which one fits your stack, the questions that actually matter are: how often the index refreshes, whether all the modules (keywords, backlinks, audit) are accessible through one integration or you need three separate ones, and whether the rate limits hold up at scale.

Happy to answer specific questions if anyone's mid-evaluation - what are you all using and what made you commit?

I've been reading this a lot lot of SEO agencies becoming Agent native meaning that they are creating SEO agents for their clients and automating the full SEO process with human in the loop workflows.

Another important signal that this can be growing market is that Y combinator for their spring batch included AI native agencies as a category.

So i would love to hear from freelancers and agency owners is this something your clients are asking or exploring?

Anyone experimented with fully autonomous workflows and what results did you get?

I've been building agents myself with closed loop systems that constantly become "smarter" with feedback loops and automated almost all workflows with HITL workflows , and i must say this bumped productivity at least 70% with more time to focus on strategy.

happy to hear your thought and experience (preferably in SaaS space)

Been noticing that some content consistently shows up in AI overviews while other content doesn’t get picked up at all

trying to understand what really makes the difference here

from what i’ve seen so far, it doesn’t feel like traditional SEO alone explains it

patterns i’m starting to notice:
• content that answers clearly and directly (almost like it’s written for extraction)
• structured sections (definitions, steps, summaries)
• strong topical consistency across the site
• content being referenced or echoed across different sources

it feels less like “ranking a page” and more like:
making your content easy to understand, reuse, and trust

also noticing that some pages with lower rankings still show up in AI summaries, which is interesting

curious how others are approaching this

are you intentionally structuring content for AI overviews now,
or just focusing on traditional SEO and letting it happen naturally?

Hey everyone i have been using Claude for writing blogs and it’s doing great but i want to try something new so tell me your favourite ai tool for content/blog writing which you use or suggest thanks!