I've been interviewing agency founders on how their teams actually run AI in production.

Almost everyone hits the exact same bottleneck: The Verification Tax.

Founders and leads spend hours re-editing AI drafts. Not because of writing style, but because the output misses past client decisions, account precedents, or commercial rules.

Curious how you guys handle this:

• Central wikis, custom GPTs, or dedicated context tools? 
• RAG
• How do you stop AI tools and new hires from repeating past mistakes on accounts?

I'm interested in the perspective on this.

Since the recent changes with Google, it seems that SEMRush and Ahrefs and other tracking tools are becoming less and less effective.

How many of you are still using these tools and find them effective and worthwhile?

If you have moved on from these tools, what's your process changed to?

And yes, I know the standard Google Search Console answer, but I'd love to hear more in-depth information on your process if it has moved away from these tools, and how effective you think that has been for you.

Maybe this is a better way to put it:

For keyword research, competitor analysis, and finding backlink opportunities. That's essentially what I'm curious about here. Are they still the best, good, or mediocre tools for these types of activities? Or are they becoming outdated and are you finding better ways to work around these activities without them?

Why SEO Is Not Dead Even With AI — My Take

I keep seeing people say SEO is dead because AI can answer questions now. I don't really agree with that.

From my point of view, AI actually makes SEO more useful.

1. We still need good information. AI needs information to work with, and someone still has to create it.
2. AI can help us improve our content. It can organize ideas, research topics and make the process faster.
3. AI can help us find the right information. Instead of spending hours researching, we can use AI to find and organize what we need.
4. AI can help with SEO itself. It can help identify keywords, search intent and topics, and then help us create more content around them.

So I don't think SEO is dead.

I think AI is becoming another tool for SEO.

What do you think? Is SEO actually dying, or is it just changing?

I've been thinking about how much SEO has changed since AI-generated content became so common.

Creating content is easier than ever now, but that also means there is a huge amount of similar content competing for the same keywords.

I'm wondering what SEO professionals are seeing in 2026.

Are things like original research, first-hand experience, case studies, brand mentions, and strong opinions becoming more important than publishing more content?

And for those managing SEO for businesses, what is actually working for you right now?

I'm especially interested in hearing about real experiments rather than generic "AI is changing SEO" advice.

The question is simple- what marketing hack has enormously helped you outcompete your competitors? Ideally I am looking for legal marketing strategies that compound over time. Thanks in advance!

Marketing is the hardest part for a start-up

Our team wanted to see what AI visibility looks like for a brand with no history, so they built one.

In February we created Civoryx com, a Global Fraud Index based on search interest in fraud keywords. Real site, zero prior footprint - no reviews, no mentions, nobody searching the name.

We published 93 pages (the brand site plus content on 11 external sites), then tracked 165 prompts daily across ChatGPT, Perplexity, Gemini, AI Overviews and AI Mode. 75 named the brand, 90 didn't. Publishing stopped March 31 and we left it all untouched until September 23.

The part we didn't expect to be writing about

Citations of the brand site went from 17,023 in April to 42,435 in August. 149% growth, after we'd stopped publishing.

Over the same period GA4 recorded 100 users total. Google Search showed 11 clicks. Server logs found exactly one visit referred by an AI assistant.

Citations in tracked answers are not people reached. Worth knowing before anyone reports citation counts to a client as if they're traffic.

What else came out of it

• Branded visibility doesn't transfer. 84.8% of branded answers mentioned us. 1.8% of non-branded ones did.
• Third-party pages did the work. External sites got ~19,000 non-branded citations, the brand site under 2,000. With an external article in the sources, 16% of answers named the brand. Without, 0.29%.
• Being cited isn't being mentioned. Our listicles were cited in 4,399 non-branded answers but only 14.2% actually named the brand. The one in-depth guide was cited far less, yet 69.2% mentioned it.
• Engines aren't one channel. September non-branded mentions: Perplexity 30.6%, ChatGPT 8.3%, AI Overviews and Gemini 0.6%, AI Mode 0%.
• Time to first citation varied wildly. Short articles 21 days median, longer how-to guides 126 days. A quiet month doesn't mean a page failed.

The 11 external sites were ours, so that's a controlled test rather than earned coverage. And ChatGPT changed its citation behaviour twice mid-experiment - Aug 9 much longer source lists, Aug 28 cut from ~17 per answer to ~5 - so part of our August movement was the engine, not us.

Full write-up with the tables is on the SE Visible blog. Happy to get into the method here!

Long post, because this thing got a little out of hand.

TL;DR: I built an email marketing operating system that handles almost the entire workflow, from client onboarding and monthly strategy to drafting, revisions, design handoff, segmentation and scheduling. At one point it helped me manage up to 16 client accounts at the same time while cutting a lot of repetitive operational work.

Over time I built an workflow around almost the entire email marketing delivery process.

At this point it handles almost everything from onboarding a new client to having approved scheduled campaigns.

The only production step that still remains manual is the actual email design, although I’m already working on that.

The reason was simple. I was managing a lot of accounts at once and the bottleneck wasn’t writing copy, but keeping all the context, rules, approvals, products, offers, reviews, segments and campaign logic in my head, so I started turning all of that into a system.

What the workflow actually does

- Client onboarding
Scrapes the client website, builds the brand guide, product catalog, current offers, product descriptions, reviews/social proof, links, pricing and other brand-specific knowledge.

- Monthly brief
I input whatever the client gives me for the month. Detailed brief, a few product priorities, a promotion, launch, or even nothing.

- Strategy
Checks previous campaigns and performance (connected to ESP), historical angles, subject lines, products, current offers, holidays, seasonal relevance, previous months’ drafts and what has already been pushed recently.

- Product + angle selection
Chooses products and messaging angles based on historical performance, seasonality, offer relevance, product context and the rest of the monthly campaign plan.

- Drafting
Creates the monthly email drafts using the strategy, brand guide, product data, offers, real customer reviews and client-specific copy rules.

- Client review
Exports the drafts into a normal human-readable format for client approval and feedback.

- Editor / revisions
Takes client comments, changes only what needs changing, and re-checks the updated email against all brand and copy rules.

- Design handoff
Creates/updates task management system and sends approved copy to the correct designer.

- Designed email review
Pulls the completed ESP drafts and creates a client-facing table with web-view links for review.

- Corrections
If the client requests visual changes, the workflow routes the feedback back to the designer through task management system and brings the campaign back into review once completed.

- Segmentation + exclusions
Applies client-specific audience rules, target segments, engagement windows and exclusions.

- Follow-ups, campaign variants or different types of sending
Duplicates campaigns when needed, creates follow-up sends and prepares different audience versions. Can send first to the most engaged audience, then progressively broader segments while excluding everyone already targeted in previous tiers.

- Scheduling
Once approved, schedules the campaigns through the API using the client-specific sending rules.

So the actual flow is basically:

brief > strategy > drafts > client review > revisions > design > review > corrections > segmentation > scheduling

Under the hood this became pretty big.

There are a lot of scripts, skills, markdown files, APIs, client-specific rules and handoffs behind it.

At some point it stopped feeling like a bunch of automations and started feeling more like an email marketing operating system.

Generating copy is easy. The harder part is knowing what was previously sent, what performed, which product makes sense currently, what offer is active, which review supports the message, how the brand talks, who should receive the email, who needs to be excluded, what the client approved and what still needs fixing.

The impact on my workload was pretty significant. New client onboarding went from a working day to roughly 30 minutes. Creating around 8 monthly email drafts for an established client went from roughly 3–4 hours to around 20 minutes for the initial draft set.

But the biggest result was capacity. At one point I was managing up to 16 client accounts simultaneously, because most of the repetitive operational work was no longer being done manually.

For me, the real breakthrough was turning a large part of the delivery process into a system. That’s what actually created leverage. I got less repetitive work, more capacity, and fewer things falling through the cracks.

There’s a moment that comes up surprisingly often during client onboarding at Buzzwork.

We’ll be 20 minutes into a conversation and someone will say:

“Honestly, we just want to go viral.”

We get it. Who doesn’t?

But these days, our next question is usually:

“What do you want to happen after you go viral?”

That’s where things get interesting.

Because the answer is rarely actually “more views.”

A local business might want more people walking through the door.

A design firm might want enquiries from the right kind of clients.

A performing artist might want bookings.

A B2B business might want conversations with potential customers.

Those are very different goals.

And somewhere along the way, “viral” became shorthand for “we want social media to work really well for our business.”

But viral is an outcome. It isn't a strategy.

As an agency, we can control a lot:

We can build a content strategy.

We can make the content stronger.

We can sharpen the brand’s communication.

We can create content around topics people already care about.

We can make sure the profile is ready when people discover it.

What we can't control is whether an algorithm decides to put a post in front of 10,000 people or 1 million.

So we’re always a little cautious when someone promises guaranteed virality.

There’s another thing we think gets overlooked:

What happens when the attention actually arrives?

A viral post can send thousands of people to a profile.

But if they can't understand what the business does within a few seconds, most of that attention disappears.

If there's no clear next step, it disappears.

If the people seeing the post were never potential customers, it doesn't necessarily help the business either.

That’s why we think reach and relevance need to be looked at separately.

300,000 views sounds great.

But 3,000 people who actually fit your target audience can be far more valuable.

For a local business, those 3,000 people might actually live nearby.

For a design firm, they might be potential clients.

For a B2B company, they might be the exact people involved in a buying decision.

So when a client tells us:

“Just make us go viral.”

Our answer is usually something along the lines of:

“We can’t promise viral. But we can make the content worth sharing, make sure your brand is ready for the attention, and define what success actually looks like for your business.”

Maybe that's enquiries.

Maybe bookings.

Maybe footfall.

Maybe qualified leads.

Maybe simply building recognition with the right audience.

Because the goal shouldn't be to win the algorithm.

It should be to make the attention useful.

For the founders and marketers here: what does a genuinely successful month on social media look like for your business?

And for other agencies/social media managers: how do you handle the “make us go viral” conversation?

Hello everyone , I will be short .

I am looking to make my carrier in digital marketing but unsure of how to get started , will be very greatful if any of you who has been in this field drop there suggestions and plan on how get started and above job ready.

I am more focused for job as I want 2 year of workex before doing mba in this field , currently in 2 year of bachelors program which is not related to marketing .

And ya also please tell me how I can get job in this field .

CORRECTION: I meant to request for an SEO Agency or freelancer recommendations

Hello,

I have a free online search tool for an electronics product that runs on top online retailers. I am struggling to drive traffic to my website. Of course I have done some basic technical SEO, a blog, this and that.. but I do not have a lot of time as I need to focus on building my product as well.

I am thinking of giving it a boost to my site and getting an expert to do it by budgeting something like $350-$500 per month, do you guys think its worth it?

I have done some research and am looking into some companies but I wont post that list here as my post might get deleted.
Any suggestions greatly appreciated