Can A 300,000-Influencer Network Built On AI-Generated Content Work? via @sejournal, @gregjarboe

When Unilever CEO Fernando Fernández stood before investors and declared that the era of expensive corporate brand advertising was over, calling traditional TV-heavy campaigns “lazy marketing,” the shockwave through the agency world was immediate. Half of Unilever’s massive global advertising budget would shift to a “social-first” strategy. Creator collaborations would scale by 20 times. The target would be an army of over 300,000 influencers, including a micro-influencer in every postal code in key markets like India.

Traditional advertising agencies that had spent decades building relationships around six-figure production budgets and a handful of celebrity partnerships suddenly faced a client with an operationally impossible mandate. Manual sourcing, onboarding, and content approval at 300,000-creator scale simply does not exist as a human workflow. Specialized creator agencies picked up business that legacy agency-of-record relationships had assumed were locked in.

The panic was understandable. It was also aimed at the wrong target.

The More Important Question

A March 2026 Adobe Express study surveyed video creators across YouTube, TikTok, and Instagram and found that 71% have now adopted AI video generation or editing tools. Of those, 41% deploy them on a weekly basis. 56% of creators using AI tools report saving over 30 minutes per video on average, with 10% shaving more than four hours off their production time. On the performance side, they’re seeing a 19% average increase in audience watch time and a 17% boost in community engagement. Half plan to increase their AI tool spending over the next year.

So, Unilever is building an army of 300,000 creators, and 71% of creators are now using AI to produce their content. The math is straightforward, and what Unilever is actually building is a massive distributed network for the production and distribution of AI-assisted content at a scale the marketing industry has never seen.

The question that hasn’t been answered yet is whether any of it will work.

Read More: The State Of AI In Marketing: 6 Key Findings From Marketing Leaders

Will It Work?

Unilever’s 300,000-creator network is generating content at a scale that makes traditional test-and-learn frameworks difficult to apply cleanly. When hyper-local micro-influencers are producing AI-assisted videos for niche audiences across hundreds of markets simultaneously, the signal-to-noise problem becomes acute. Individual pieces of content may perform well in isolation while the overall brand narrative diffuses into incoherence. Or the personalization may be exactly what audiences want, and the aggregate effect may be stronger than anything a single high-production campaign could achieve. Right now, the honest answer is that nobody knows with confidence.

Where DAIVID And ADIN.AI Come In

On April 27, 2026, two companies that many SEO professionals and digital marketers haven’t heard of yet announced a partnership that addresses the exact problem Unilever’s strategy creates.

DAIVID is a creative intelligence platform whose AI models, trained on tens of millions of human responses to ads, predict in seconds how any piece of ad creative will perform – measuring attention, 39 distinct emotions, memory encoding, brand recall, and likely next-step actions – without requiring human panels. ADIN.AI is an AI-native operating system for enterprise marketing that sits above an organization’s existing tools and provides a unified intelligence layer across channels, budgets, and decisions.

The partnership embeds DAIVID’s creative effectiveness models directly into ADIN.AI’s platform, creating what they describe as a live loop between creative intelligence and media execution. Before a campaign launches, marketers can identify which creative is most likely to succeed and allocate budget accordingly. While campaigns run, they can scale high-performing assets and pause underperformers in real time. After campaigns end, the historical performance data becomes benchmarks that guide future creative and media planning.

Ian Forrester, CEO of DAIVID, described the core problem the partnership solves: “Creative is a key driver of advertising outcomes, but for too long it has been measured in isolation, disconnected from media results.” The first live client is Ajinomoto, the global food and nutrition company.

Why This Matters For SEO And Digital Marketing Professionals

The traditional advertising agency’s anxiety about Unilever’s creator pivot was understandable but slightly misdirected. The real disruption isn’t that Unilever is working with 300,000 influencers instead of three ad agencies. The real disruption is that when 71% of those creators are using AI tools to produce content at speed, and that content is being distributed across dozens of platforms in hundreds of markets simultaneously, the evaluation infrastructure that used to separate good creative decisions from bad ones stops working.

Human panels are too slow. A/B testing individual pieces of content across a 300,000-creator network is logistically impossible. Traditional brand-tracking surveys capture what happened last quarter, not what’s working right now.

What DAIVID and ADIN.AI are building is the kind of infrastructure that makes the Unilever model actually governable – a system that can score creative at scale, link those scores to media performance in real time, and surface the signal from the noise before the budget has already been allocated to the wrong places.

Shelley Walsh made the point in her recent Search Engine Journal article on AI content scaling that enterprise brands face a specific trap: They know what they want to do (scale content production) but not how to do it without sacrificing the quality signals that make the content worth producing. The DAIVID and ADIN.AI partnership doesn’t solve the content quality problem. But it does solve the evaluation problem – which is arguably more urgent when you’re managing 300,000 creators rather than three.

For SEO professionals and content marketers, the practical implication is familiar. The distribution channels are changing, the production tools are changing, and the volume is increasing. What stays constant is the need to measure what’s actually working and make decisions based on that measurement rather than assumptions. That’s true whether you’re optimizing for search citations or creator content performance. Ground truth it, as always.

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Featured Image: elenabsl/Shutterstock

ChatGPT vs. Perplexity vs. Gemini: Which LLMs Are Driving Real Conversions? [Expert Panel] via @sejournal, @hethr_campbell

AI search is sending high-intent traffic, but not equally across platforms.

Which LLM is actually driving conversions in your clients’ verticals?

Should GEO efforts be concentrated on ChatGPT versus Perplexity or Gemini?

How do you build an AI search reporting framework clients will actually trust?

Watch the on-demand webinar now to get conversion data by LLM.

How To Identify & Focus On The LLM That Works For You

Not every LLM deserves equal optimization effort.

Misallocating that effort is costing your clients rankings, leads, and revenue.

In this on-demand GEO webinar, Natalie Ann and our expert panel for a breakdown of which platforms are driving measurable results, and how to build an AI search strategy backed by conversion data.

You’ll Be Able To:

  • Identify which LLMs drive the highest conversion rates in your clients’ industries
  • Prioritize GEO spend and content optimization based on platform-level performance data
  • Package LLM optimization as a billable service with reporting that proves impact to clients

Watch now, follow along below, and be ready to rethink how you’re allocating AI search effort.

WordPress Meets Vibe Coding: White-Labeled Platform & API For Search-Ready AI Websites

This post was sponsored by 10Web. The opinions expressed in this article are the sponsor’s own.

Not long ago, building a website meant a discovery call, a proposal, a sitemap, and a few weeks of back and forth. Today, we go from “I need a website” to “Why isn’t it live yet?” People are getting used to typing a short prompt and seeing an entire site structure, design, and a first-draft of their site in minutes. That doesn’t replace all the strategy, UX, or growth work, but it changes expectations about how fast the first version should appear, and how teams work.

This shift puts pressure on everyone who sits between the user and the web: agencies, MSPs, hosting companies, domain registrars, and SaaS platforms. If your users can get an AI-generated site somewhere else in a few clicks, you better catch the wave or be forgotten.

That’s why the real competition is moving to those who control distribution and can embed an AI-native, white-label builder directly into products. WordPress still powers over 43% of all websites globally, and remains the default foundation for many of these distribution players.

Now that AI-native builders, reseller suites, and website builder APIs are available on top of WordPress, who will own that experience and the recurring revenue that comes with it.

AI & Vibe Coding Is Turning Speed-To-Launch Into a Baseline 

AI site builders and vibe coding tools have taught people a new habit: describe what you want, get a working draft of a site almost immediately.

Instead of filling out long briefs and waiting for mockups, users can:

  • Type or paste a business description,
  • Point to a few example sites,
  • Click generate,
  • And see a homepage, key inner pages, and placeholder copy appear in minutes.

For non-technical users, this is magic. For agencies and infrastructure providers, it’s a new kind of pressure. The baseline expectation has become seeing something live quickly and refining it afterward.

This demand is everywhere:

  • Small businesses want a site as soon as they buy a domain or sign up for SaaS.
  • Creators expect their website to follow them seamlessly from the tools they already use.
  • Teams inside larger organizations need landing pages and microsites created on demand, without long internal queues.

If you’re an agency, MSP, hosting provider, domain registrar, or SaaS platform, you’re now measured against that baseline, no matter what your stack was designed for. Bolting on a generic external builder isn’t enough. Users want websites inside the experience they trust and already pay you for, with your branding, your billing, and your support.

AI-native builders that are built directly into your stack are no longer a nice bonus but an essential part of your product.

With Vibe Coding Leveling The Field: What Is Your Differentiator? 

In this environment, the biggest advantage doesn’t belong to whoever ships the flashiest AI demo. It belongs to whoever owns the distribution channels:

  • Agencies and MSPs, the ground level players holding client relationships and trust.
  • Hosting and cloud providers where businesses park their infrastructure.
  • Domain registrars where the online journey starts.
  • SaaS platforms, already owning the critical data needed to reflect and sync with company websites.

These players already control the key moments when someone goes from thinking they need a website to taking action.

  • Buying a domain
  • Using a vertical SaaS product
  • Working with an MSP or agency retainer
  • Adding a new location, service, or product line

If, at those moments, the platform automatically provides an AI-generated, editable site under the same login, billing, and support, the choice of stack is made by default. Users simply stay with the builder that’s already built into the service or product they use.

This is why white-label builders, reseller suites, and website builder APIs matter. They give distribution owners the opportunity to:

  • Brand the website experience as their own
  • Decide on the underlying technology (e.g., AI-native WordPress)
  • Bundle sites with hosting, marketing, or other services
  • Keep the recurring revenue and data inside their ecosystem

In other words, as AI pushes the web toward instant presence, distribution owners who embed website creation into their existing flows become the gatekeepers of which tools, stacks, and platforms win.

How To Connect WordPress Development, SEO & Vibe Coding

For most distribution owners, WordPress is still the safest base to standardize on. It powers a huge share of the web, has a deep plugin and WooCommerce ecosystem, and a large talent pool, which makes it easier to run thousands of sites without being tied to a single vendor. Its open-source nature also allows full rebranding and custom flows, exactly what white-label providers need, while automated provisioning, multisite, and APIs make it a natural infrastructure layer for branded site creation at scale. The missing piece has been a truly AI-native, generation-first builder. The latest AI-powered WordPress tools are closing that gap and expanding what distribution owners can offer out of the box.

Use AI-Native WordPress & White Label Embeddable Solutions

Most of the visible WordPress innovation around AI and websites has happened in standalone AI builders or coding assistants, relying on scattered plugins and lightweight helpers. The CMS is solid, but the first version of a site is still mostly assembled by hand.

AI-native WordPress builders move AI into the core flow: from intent straight to a structured, production-ready WordPress site in one step. In 10Web’s case, Vibe for WordPress is the first to bring Vibe Coding to the market with a React front end and deep integrations with WordPress. As opposed to previous versions of the builder or other website builders working off of generic templates and content, Vibe for WordPress allows the customer to have unlimited freedom during and after website generation via chat based AI and using natural language.

For distribution owners, AI only matters if it is packaged in a way they can sell, support, and scale. At its core, the 10Web’s White Label solution is a fully white-labeled AI website builder and hosting environment that partners brand as their own, spanning the dashboard, onboarding flows, and even the WordPress admin experience.

Instead of sending customers to a third-party tool, partners work in a multi-tenant platform where they can:

  • Brand the entire experience (logo, colors, custom domain).
  • Provision and manage WordPress sites, hosting, and domains at scale.
  • Package plans, track usage and overages, and connect their own billing and SSO.

In practice, a telco, registrar, or SaaS platform can offer AI-built WordPress websites under its own brand without building an editor, a hosting stack, or a management console from scratch.

APIs and White-Label: Quickly Code New Sites Or Allow Your Clients To Feel In Control

There is one fine nuance, yet so important. Speed alone isn’t a deciding factor on who wins the next wave of web creation. Teams that can wire that speed directly into their distribution channels and workflows will be the first to the finish line.

The White label platforms and APIs are two sides of the same strategy. The reseller suite gives partners a turnkey, branded control center; the API lets them take the same capabilities and thread them through domain purchase flows, SaaS onboarding, or MSP client portals.

From there, partners can:

  • Generate sites and WooCommerce stores from prompts or templates.
  • Provision hosting, domains, and SSL, and manage backups and restore points via API.
  • Control plugins, templates, and vertical presets so each tenant or region gets a curated, governed stack.
  • Pull usage metrics, logs, and webhooks into their own analytics and billing layers.

For MSPs and agencies treating websites as a packaged, recurring service, see more predictable revenue and stickier client relationships. They bake “website included” into retainers, care plans, and bundles, using white-label reseller dashboard to keep everything under their own brand.

As for SaaS platform and vertical solutions, instead of just giving partners a branded dashboard, 10Web’s Website Builder API lets them embed AI-powered WordPress site creation and lifecycle management directly into their own products. At a high level, it’s a white-label AI builder you plug in via API so your users can create production-ready WordPress sites and stores in under a minute, without ever leaving your app.

In this model, when someone buys a domain, signs up for a SaaS tool, or comes under an MSP contract, they experience the AI website Builder as a built-in part of the product. And the distribution owner, armed with white-label and API tools, is the one who captures the recurring value of that relationship.

The Next Wave

WordPress remains the foundation distribution owners trust, the layer they know can scale from a single landing page to thousands of client sites. With 10Web’s  AI-native builder, reseller dashboard, and API, it isn’t playing catch-up anymore, but is quickly becoming the engine behind fast, governed, repeatable site creation.

For agencies, MSPs, cloud infrastructure providers, and SaaS platforms, that means they can sell websites as a packaged service. The winners of the next wave are the ones who wire AI-native, white-label WordPress into their distribution and turn “website included” into their default.

Unlock new revenue by selling AI. Websites, Hosting, AI Branding, AI Agents, SMB Tools, and your own services.


Image Credits

Featured Image: Image by 10Web. Used with permission.

Why Are Brands Rethinking Their Approach To Using Agencies?

Many brands are re-evaluating their relationships with agencies.

In a 2024 report, 40% of companies surveyed said they were likely to switch from their primary agency in the next six months. Although down 15% year-on-year, it’s 33% up from 2021 and a signal that traditional client-agency models are under pressure.

Tightening budgets, the rise of in-house marketing teams, and evolving expectations are all driving brands to rethink how they use agencies.

Below is a breakdown of why this change is happening and what it means for both brands and agencies.

The Continued Rise Of In-Housing

Millions of businesses are bringing their once “agency only” services in-house and building specialist teams that handle strategic tasks like brand strategy, creative, or media planning.

Many brands no longer rely on external agencies for core marketing strategy; they’re developing that expertise internally.

So, why is this, and why are brands that saw agencies as a necessity now not needing this specialist arm of their business?

There’s a laundry list of reasons that are unique to each business, such as control, speed, efficiency, and expertise. However, the No. 1 driver is cost, with 83% of brands citing cost efficiency as the key reason for expanding their in-house teams.

If we think back over the last 30 years, the typical agency model hasn’t really changed. Agencies price based on several factors (percentage of media spend, deliverables, etc.) and then, once the business is won, apportion the fee downwards to be as efficient as possible. Marketing Week backs this up with brands stating that a big frustration is meeting a team during pitch, and a different, lesser-qualified team post-pitch.

What this means for brands is that they don’t receive the expertise promised, and may only get a small percentage of their fee allocated to the specialist, experienced teams, the ones who were involved in the pitch but then took a back seat.

In addition to this, a survey by WFA and The Observatory International found that motivators to move away from agency support included the desire for more agile processes (76%), better integration with the brand (59%), and deeper internal brand knowledge (59%).

So, has this move in-house impacted quality with specialist agencies out of the picture? Far from it. In many cases, it has improved with 86% of brands saying they’re satisfied with their in-house teams’ output, with one-third being completely satisfied, up sharply from 23% in 2020.

From an agency side, this may seem like doom and gloom. However, most brands still use agencies for certain needs, and it’s this shift in needs that offers a huge opportunity for specialist agencies to partner with brands to drive real change rather than being brought on to coast a service such as PPC or SEO along for 12 months.

Demand For Greater Value And Actual ROI

Another reason brands are rethinking agency relationships is a heightened focus on value and performance.

With economic uncertainty, marketing budgets under strain, and click costs increasing year-over-year, every dollar spent on an agency must be justified.

The Setup survey found that dissatisfaction with value was the No. 1 reason clients ended an agency relationship, moving up from No. 2 the year before, which was dissatisfaction with strategic approach.

Brands feel they’re not getting enough bang for their buck with agencies still bringing strong ideas to the table, but often charging too much to justify the return, and the actual execution of these ideas being few and far between, often getting forgotten about with the day-to-day management of accounts.

Budget pressures from the C-suite are further intensifying this scrutiny, and when CEOs and CFOs demand leaner spending, CMOs often look to agency fees as a place to trim the fat, and if there’s no wiggle room from the agency, more often than not, marketing teams will be directed to find a cheaper supplier.

Gartner’s CMO survey confirmed this, stating that 39% of leaders often look to agency fees as a place to trim the fat when looking to lean up.

When you take this, combined with the frustrations around agility, efficiency, integration, and most importantly, results, it starts to build a picture of why brands are cutting agencies more every year.

The days of big retainers with murky results are numbered, and brands are quicker to pull the plug if results and value aren’t there.

For agencies, the need to prove worth continuously has never been so important.

Speaking up, having a voice, sharing expertise, and challenging the clients they work for – a cliche that has long been part of the agency world, but rarely acted on.

Take paid media agencies, for example. They need to be digging deeper and having conversations around profitability, return rates, and LTV over short-term metrics that the marketing team doesn’t need regurgitating to them.

These conversations are the seeds that grow into established, long-term relationships, and the agencies with proven expertise will still win, as they will be proving their worth every single day and making themselves irreplaceable.

Fragmented Partnerships, Project-Based Work, And The Shortening Of Terms

Along with seeking more value, brands are changing how they engage agencies.

The classic model of a single agency handling all aspects of marketing has been fading (outside of the big six).

Many advertisers now maintain multiple agency relationships for different needs, for example, one shop for creative, another for media buying, others for SEO, social, PR, etc.

This fragmentation means the primary agency’s role is smaller than it was in the past, arguably making the role of a “sole lead agency” not as relevant this year as it once was.

If a brand can use a small specialized agency/consultancy for paid media where they can guarantee they will have an experienced account lead actually doing the work, then another for SEO, content, etc, they may not even need to invest the full budget yet get a better quality of work and a closer relationship with the partner they work with.

Leaning into this is the growth in project-based work vs. the traditional long-term retainer.

Instead of paying a single agency monthly to be on call for all needs, brands are bringing in agencies for defined projects or campaigns, essentially “auditioning” agencies through short-term work with/without a goal to find a long-term partner.

As industry veteran Avi Dan noted, “This shift from AOR to project-by-project is one of the most disruptive trends in the agency landscape.”

It gives clients more flexibility to test different partners and skills while pressuring agencies to perform in each project or risk not getting the next one.

There are pros and cons to both sides: A clear con being the management of multiple agency partners (and periodic Request For Proposal (RFPs) for new projects) being time-consuming, and another with brands risking losing the deep brand knowledge that a long-term agency partner accumulates.

Ultimately, the requirements depend on many factors specific to each brand, and the shift towards more fluid and experimental relationships with agencies allows for a more hand-picked approach to finding partners as and when they are needed, often with the underlying goal of finding a truly great agency to build a relationship with in the long-term.

Evolving Expectations Of Agency Partners

Beyond structural changes, brands’ expectations of their agencies have evolved.

It’s no longer enough for an agency to simply execute campaigns; clients want a true strategic partner.

According to the 2023 Setup survey, “chemistry” is the No. 1 factor clients look for when hiring an agency partner.

As much as a flashy portfolio or specialized expertise might be second to none, marketers are prioritizing cultural fit, communication, and a genuine connection as key pillars that are essential to execute great work.

Clear communication is absolutely key: no sugarcoating, hiding behind numbers, or excuses.

Straight talking, respectful and honest, three features that may not be the first three to spring to mind if brands were asked about their experience with agencies, but three that are critical.

This is a change, and a good change. One that gets spoken about in pitches and in my experience, is rarely executed as agencies fear rocking the boat when things are not going to plan, which in reality is the best time to speak honestly with clients.

Leaning into this is the need for agencies to build a deeper business understanding of the industry, business model, and goals, and not just ticking boxes and managing accounts with a short-term view that doesn’t break the boundaries of forecasts and KPIs.

I’ve spoken with many brands that have a sour taste for agencies after paying enormous fees to have junior teams managing their paid media campaigns.

Situations where 100% of their resource were invested in the day-to-day account management with no thought for measurement, buying, forecasting, attribution, CRO, modeling, etc, and this is on some of the highest spending accounts in the world.

Agencies that collaborate well with in-house marketers, respecting processes, share knowledge, and complement internal capabilities are much more likely to retain their client relationships and build upon their client base with this ethos at the heart of everything.

The Bottom Line

Brands are rethinking their approach to agencies because the marketing landscape demands it.

Faster turnarounds, tighter budgets, and more data-driven decision-making favor a model where brands take more control.

By building in-house teams, choosing smaller, more specialized partners, and holding agencies to higher performance standards, companies aim to achieve better agility and return on investment (ROI).

This doesn’t mean agencies are obsolete, far from it; it means the traditional agency model has changed.

What it means is that agencies must adapt to serve a new role: specialized, high-value partners who augment a brand’s own capabilities.

Brands want transparency and are tired of paying for cookie-cutter approaches to media buying, SEO, PR, and more, riding a contract out, and then moving to the next one.

Agencies need to prove the impact, dig deeper, and lead with accountability.

Now is the time for brands to define the value they want, and agencies to prove they can deliver it.

Done right, this creates leaner, smarter, and more productive partnerships that cut through noise and deliver outcomes that matter.

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Featured Image: Anton Vierietin/Shutterstock

The AI Search Effect: What Agencies Need To Know For Local Search Clients

This post was sponsored by GatherUp. The opinions expressed in this article are the sponsor’s own.

Local Search Has Changed: From “Found” to “Chosen”

Not long ago, showing up in a Google search was enough. A complete Google Business Profile (GBP) and a steady stream of reviews could put your client in front of the right customers.

But today’s local search looks very different. It’s no longer just about being found; it’s about being chosen.

That shift has only accelerated with the rise of AI-powered search. Instead of delivering a list of links, engines like ChatGPT, Google’s Gemini, and Perplexity now generate instant summaries. Changing the way consumers interact with search results, these summaries are the key to whether or not your client’s business gets seen at all.

Reality Check: if listings aren’t accurate, consistent, and AI-ready, businesses risk invisibility.

AI Search Is Reshaping Behavior & Brand Visibility

AI search is already reshaping behavior.

Only 8% of users click a traditional link when an AI summary appears. That means the majority of your clients’ potential customers are making decisions without ever leaving the AI-generated response.

So, how does AI decide which businesses to include in its answers? Two categories of signals matter most:

Put simply, if a client’s listings are messy, incomplete, or outdated, AI is far less likely to surface them in a summary. And that’s a problem, considering more than 4 out of 5 people use search engines to find local businesses.

The Hidden Dangers of Neglected Listings

Agencies know the pain of messy listings firsthand. But your clients may not realize just how damaging it can be:

  • Trust erosion: 80% of consumers lose trust in businesses with incorrect or inconsistent.
  • Lost visibility: Roughly a third of local organic results now come from business directories. If listings are incomplete, that’s a third of opportunities gone.
  • Negative perception: A GBP with outdated hours or broken URLs communicates neglect, not professionalism.

Consider “Mary,” a marketing director overseeing 150+ locations. Without automation, her team spends hours chasing duplicate profiles, correcting seasonal hours, and fighting suggested edits. Updates lag behind reality. Customers’ trust slips. And every inconsistency is another signal to search engines, and now AI, that the business isn’t reliable.

For many agencies, the result is more than frustrated clients. It’s a high churn risk.

Why This Matters More Than Ever to Consumers

Consumers expect accuracy at every touchpoint, and they’re quick to lose confidence when details don’t add up.

  • 80% of consumers lose trust in a business with incorrect or inconsistent information, like outdated hours, wrong addresses, or broken links.
  • A Google Business Profile with missing fields or duplicate entries signals neglect.
  • When AI engines surface summaries, they pull from this. Inconsistencies make it less likely your client’s business will appear at all.

Reviews still play a critical role, but they work best when paired with clean, consistent listings. 99% of consumers read reviews before choosing a business, and 68% prioritize recent reviews over overall star ratings. If the reviews say “great service” but the business shows the wrong phone number or closed hours, that trust is instantly broken.

In practice, this means agencies must help clients maintain both accurate listings and authentic reviews. Together, they signal credibility to consumers and to AI search engines deciding which businesses make the cut.

Real-World Data: The ROI of Getting Listings Right

Agencies that take listings seriously are already seeing outsized returns:

  • A healthcare agency managing 850+ locations saved 132 hours per month and reduced costs by $21K annually through listings automation, delivering a six-figure annual ROI.
  • A travel brand optimizing global listings recorded a 200% increase in Google visibility and a 30x rise in social engagement.
  • A retail chain improving profile completeness saw a 31% increase in revenue attributed to local SEO improvements.

The proof is clear: accurate, consistent, and scalable listings management is no longer optional. It’s a revenue driver.

Actionable Steps Agencies Can Take Right Now

AI search is moving fast, but agencies don’t have to be caught flat-footed. Here are five practical steps to protect your clients’ visibility and trust.

1.  Audit Listings for Accuracy and Consistency

Start with a full audit of your clients’ GBPs and directory listings. Look for mismatches in hours, addresses, URLs, and categories. Even small discrepancies send negative signals to both consumers and AI search engines.

I know you updated your listings last year, and not much has changed, but unless your business is a time capsule, your customers expect real-time accuracy.

2.  Eliminate Duplicates

Duplicate listings aren’t just confusing to customers; they actively hurt SEO. Suppress duplicates across directories and consolidate data at the source to prevent aggregator overwrites. Google penalized 6.1% of business listings flagged for duplicate or spam entries in Q1 alone, underscoring how seriously platforms are taking accuracy enforcement.

3.  Optimize for Engagement

Encourage clients to respond authentically to reviews. Research shows 73% of consumers will give a business a second chance if they receive a thoughtful response to a negative review. Engagement isn’t just customer service; it’s a ranking signal.

4.  Create AI-Readable Content

AI thrives on structured, educational content. Encourage clients to build out their web presence with FAQs, descriptive product or service pages, and customer-centric content that mirrors natural language. This makes it easier for AI to pull them into summaries.

5.  Automate at Scale

Manual updates don’t cut it for multi-location brands. Implement automation for bulk publishing, data synchronization, and ongoing updates. This ensures accuracy and saves agencies countless hours of low-value labor.

The AI Opportunity: Agencies as Strategic Partners

For agencies, the rise of AI search is both a threat and an opportunity. Yes, clients who ignore their listings risk becoming invisible. But agencies that lean in can position themselves as strategic partners, helping businesses adapt to a disruptive new era.

That means reframing listings management not as “background work,” but as the foundation of trust and visibility in AI-powered search.

As GatherUp’s research concludes, “In the AI-driven search era, listings are no longer background work; they are the foundation of visibility and trust.”

The Time to Act Is Now

AI search is here, and it’s rewriting the rules of local visibility. Agencies that fail to help their clients adapt risk irrelevance.

But those that act now can deliver measurable growth, stronger client relationships, and defensible ROI.

The path forward is clear: audit listings, eliminate duplicates, optimize for engagement, publish AI-readable content, and automate at scale.

And if you want to see where your clients stand today, GatherUp offers a free listings audit to help identify gaps and opportunities.

👉 Run a free listings audit and see how your business measures up.

Image Credits

Featured Image: Image by GatherUp. Used with permission.

In-Post Images: Image by GatherUp. Used with permission.

Search Atlas Announces New Features For Agencies via @sejournal, @martinibuster

Search Atlas held an event last week to showcase new capabilities and improvements to their SEO platform which make it easier for digital marketer to scale SEO and take on more clients.

The new features enable marketers to more easily handle on-page and off-page SEO, paid search, impact and track LLM visibility, and scale Google Business Profile management, and that’s just a sample of all the new functionalities coming to the platform.

Auto PPC Retargeting

Search Atlas introduced a new new retargeting feature in Otto PPC. This new feature is designed for agencies and advertisers that are managing paid media. It simplifies campaign setup with a quick-start wizard that enables retargeting site visitors, which they claim can be launched in under 60 seconds.

Manick Bhan, founder of Search Atlas explained:

“The hardest thing about taking paid media business from a client is doing it justice, doing a good job, right? Because every time they get a click, they’re paying for it. The best way that you can show a client ROI on paid media is through retargeting. Run a retargeting campaign, retargeting the traffic that they already have on their website.

We wanted to be able to make this easy for you, so all you have to do is enable it inside Otto PPC, and you’re able to run retargeting campaigns now. So we have a wizard set up for you — just a couple clicks and you can launch a retargeting campaign in less than 60 seconds. It’s that easy.”

GBP Galactic

Search Atlas announced a feature for digital marketers who handle Google Business Profiles for clients. The GBP Galactic feature now has Service Area Business (SAB) support. GBP Galactic offers integration with social media auto-posting to Facebook and Instagram, with plans to add more social networks soon.

Bhan explained the social network autoposting:

“We’ve learned the LLMs they want to see your information not just on your website and GBP profile, they want to see your data in the social media platforms.. So what we can do now is, one time, build our GBP posts, and publish to all social networks, which will increase your visibility in the LLMs. And instead of having to use third-party tools to do this, it will be completely integrated.”

Bhan also shared about their citation network:

“We also added support for service area businesses in our citations product, so now you can even build aggregator network citations and put yourself into the aggregator networks for your service businesses… Because normally these aggregator networks, they want an address. We figured out how to do it so we can get you in without one. Pretty cool.

…ChatGPT, Claude, all the LLMs pay for the data from all the aggregator networks. So if you want to put your local business into the aggregators, as well as into all the websites, the aggregator networks are a shortcut to being able to do that and upload directly to ChatGPT.”

LLM Visibility

Another useful feature is LLM Visibility tracking and sentiment analysis. LLM visibility is now measurable directly in Search Atlas. It also tracks brand presence across ChatGPT, Claude, and other LLMs and is able to identify visibility trends beyond Google Search.

Expanded Press Release Network

Bhan announced that Signal Genesys, a press release company they acquired last year, has expanded their distribution to financial news and with a local news media network.

Bhan commented:

“The financial news network costs a whopping $10. And then the news media network costs about $20. So these are really cost-effective, especially for agencies. If you are working with clients and you need to keep prices low for yourselves, there’s a lot of margin in there for you.

And these networks in particular we found were indexed very well in ChatGPT.”

On-Page SEO

Interesting feature launched in their Otto product is a module called Domain Knowledge Network which assists users in building topical relevance with a semantic interface, just speak instructions to it and it will analyze the brand and suggest a content topic structure.

Revamped WordPress Plugin

Their WordPress plugin has been overhauled to make it more user-friendly. It now includes one-click installation to connect WordPress directly to Search Atlas, two-way synchronization that keeps Otto data and WordPress in sync in real time, and auto-publishing that enables SEO fixes generated in Otto to be deployed directly into WordPress.

Universal CMS Integration

Search Atlas is aiming to become CMS-agnostic, able to integrate with any website regardless of the CMS for publishing blog posts and landing pages in one click through their Content Genius feature. Right now Search Atlas can work with Drupal, HubSpot, Magento, Wix, and WordPress. They are also testing to integrate with Joomla, Shopify, and Webflow. Soon they’ll be able to integrate with ClickFunnels, Contentful, Duda, Ghost, and Salesforce.

Near Future: Otto Agent

Otto Agent represents the future of Search Atlas’s agentic revolution, replacing traditional UI-driven workflows with natural-language commands. It’s currently available as a beta program. Users can speak to the platform (via text or voice) to perform SEO actions directly. Otto Agent can execute end-to-end actions: site audits, fixes, title/meta/image optimization, GBP posts, and content generation.

Spending the day listening to their presentations, it became evident that Otto Agent typified Search Atlas’s approach toward developing an SEO platform that is useful. Having come from an SEO agency background, they understand what agencies need and aren’t waiting for competitors to do things first, they’re just moving forward with features that they feel agencies will find useful.

Otto Agent is an example of that forward-looking approach because it’s built on the idea that managing SEO will become agentic, conversational, and autonomous.

I didn’t know that much about Search Atlas before attending the event but now I have a better understanding of why so many agencies embrace Search Atlas.

Featured Image by Shutterstock/Digitala World

GEO: How To Position Your Agency As An AI Search Authority

This post was sponsored by Visto. The opinions expressed in this article are the sponsor’s own.

Clients keep asking a new question: “Are we visible in AI search?”

This is the reality: Google’s AI Overviews are reducing organic traffic by 30-70% for many businesses.

In fact, we’re seeing that SEO agencies that incorporate GEO (Generative Engine Optimization) tactics into their SEO strategy and offerings are charging $4,000/month for these additional menu services.

However, when it comes to GEO, a newly evolved and still-evolving branch of SEO, answering the AI visibility question is:

  • Less about grand strategy.
  • More about a quick field check.

But if you skip the check and jump straight to fixes, you risk solving the wrong problem.

Phase 1. Perform An AI Visibility Audit To Confirm If There Is A Visibility Gap

Start with a simple AI Visibility Audit:

  1. Select five to 10 key phrases that align with the business’s goals.
  2. Search those phrases across Google’s AI Overviews, Bing Copilot, Perplexity, and ChatGPT.
  3. Look at the AI answer first, not the classic blue links.
  4. Do you show up? Are you cited? Which competitors are visible and cited? Notate this for each phrase.
  5. Notate down which competitors are cited and where any links point; take screenshots to showcase in any presentations.

Once you identify which phrases you display and those you do not, you can begin to build a comprehensive audit, repeating the steps as you would for keyword research or, traditionally, People Also Ask research.

The Easy Way: Use this AI Visibility audit and bring the snapshot to your next client call. It gets you out of the “we think” zone and into “here’s what we saw today.”

Phase 2. Interpret Your AI Visibility From The Audit Results

Once you have your audit results in hand, it’s time to determine where you stand:

  • Highly visible: Your brand is named inside the answer. Great. Assess what’s working, and expand upon it.
  • Partially visible: Your content fuels the answer, but the brand is missing. That erodes authority over time.
  • Absent: The answer engines are leaning on other sources. That’s your gap, and your opportunity.

Notice how some of this is traditional ranking talk, and other facets are new.

So, it’s time for a new lens here.

Look at GEO as more of a traffic channel, as opposed to a new technique: Do we show up in the answer people actually read?

This is where agencies need to act fast. If you’re not helping clients with GEO now, they’ll find someone who will.

Phase 3. Showcase The Real Problem Behind Falling Organic Traffic

In this step, it’s time to connect the dots for everyone outside of your SEO team.

How will clients or bosses handle a change to your reporting?

What is the best way to convince a stakeholder that they need additional SEO services to stay ahead during the GEO boom?

How To Clarify The AI Addition To SEO For Clients & Stakeholders

This is how to turn a vague “traffic is down” conversation into “here’s where we’re missing in the answer and what we’ll fix.”

Within your audit presentation, the AI Search findings should follow this structure:

  1. Rule out serving issues that can tank crawl or clicks. Do not include these in the report during this part of the conversation.
  2. Split branded from non-branded terms, as AI answers often cluster around certain intents. Display this information broken out.

Pro Tip: Leverage a side-by-side comparison. The left side could include the AI answer with your brand’s status. The right side a quick look at on-site metrics for those same topics.

Phase 4. Consider The Perfect Mix Of Traditional SEO & GEO

Once your audit is approved, and a contract is in place to expand your SEO offerings to include GEO techniques, it’s time to apply the perfect mix of traditional SEO and GEO to improve visibility in the areas you’ve identified in the audit.

From a high level, there are two constraints that change the game, especially when adding GEO tactics to your SEO offerings:

  • Speed (“time to first token”). AI systems have to answer fast. Crawlers are impatient, so pages that surface the right answer early tend to win the tie.
  • Context window. Models skim and compress. Think skim-friendly, middle-school clarity: straightforward headings, unambiguous entities, and no padding.

That’s why old habits can backfire. You’re optimizing for clarity, entities, and extractability, not density.

How Do I Approach SEO & GEO The Right Way?

The way we think about it is this: if SEO is about ranking for keywords, GEO is about showing up for prompts.

How Does A Prompt Differ From Keywords?

When someone types a prompt, modern AI doesn’t just “look up” one thing. It:

  1. Breaks the prompt into sub-questions.
  2. Runs background searches.
  3. Shortlists a small set of pages worth crawling right now.

From our perspective, that’s the bridge between SEO and GEO: your classic search visibility still matters, but only as a feeder into which sources the AI decides to read.

What To Focus On When Incorporating GEO Into Your SEO Strategies

You will see overlaps here; that’s because there are slight changes to traditional methods that you’ll need to consider when optimizing for answer engines.

What to focus on, from a traditional SEO angle:

  • On-page SEO: answer-first structure, clean headings, scannable evidence.
  • Technical SEO (or GEO for Answer Engines): Fast paths to answers; crawlability that supports quick fetches.
  • Content gaps your competitors are filling in AI answers. We’re consistently surprised by how often the “nearly there” pages win. If the AI crawler already understands a page, one sharp paragraph and a clearer H1 can push it over the top.
  • Link analysis to strengthen credible citations.
  • Competitor analysis of who’s being named in answers (and why).
  • Sentiment analysis to catch how your brand is described when it’s mentioned.

What to focus on, from the GEO perspective:

  • The semantic space AI explores vs. the entity mapping in your content.
  • Technical GEO (or SEO for Answer Engines): Fast paths to answers; crawlability that supports quick fetches.
  • Content gaps your competitors are filling in AI answers.

The Easy Way: Visto can consolidate these checks into a single workflow, allowing you to baseline quickly and track progress without needing a dozen tools.

Phase 5. Implement GEO Tactics Into Your SEO Strategy To Regain & Grow Visibility

Step 1. Provide Answers Upfront

Within traditional SEO, this refers to improving readability.

Your goal here is to give the answer engine what it needs as quickly as a good support team would:

  • Lead your most important pages with the plain-English answer your buyer is after.
  • One or two sentences up top, then the detail and sources.

If the reader needs to scroll to find the point, the crawler will likely give up at that same point.

Step 2. Strengthen Entity Clarity

Next, make the page unambiguous with consistent:

  • Product names.
  • Categories.
  • Specs.
  • Simple schema to help the system map your entity to the right concepts.

Think of this as labeling the shelves in a small shop. If the labels are clear, the model finds what it came for without guessing.

Step 3. Implement Technical GEO

Then handle the technical side of GEO. AI crawlers care about time to the first useful token, so shorten the path to the answer.

Tighten titles and H1s, move key facts above the fold, and keep interstitials from blocking the first read. The AI crawler has a limited context window and reads fast. Help it skim the right lines.

Step 4. Assess Comparison Coverage

If your customers compare options, publish a straightforward comparison that highlights only the differences people ask about.

What we’ve seen is that honest tables and short “who it’s for” notes get cited more than glossy positioning.

Step 5. Manage Links & Sentiment

Finally, reinforce what supports the page. Link credible sources to the version you want cited. Check how your brand is described in the existing answers. If the tone is off, correct the original source you’re referencing.

Then, regularly review your metrics: presence, named mentions, and competitor share. GEO isn’t a set-and-forget channel, so a light monthly review helps prevent drift.

Visto’s platform automates much of this tracking, giving agencies the tools to prove value with measurable, prompt-level insights and easy-to-share reports.

Examples: Learn From Early GEO Adopters Who Are Rebuilding Traffic

“In the first two quarters, we have seen an 88% year-over-year increase in organic traffic and a 42% YoY increase in unique pageviews from organic traffic.

Agencies using a platform like Visto’s see their clients’ brands referenced more in AI answers after tightening entities and updating a handful of high-value pages.

The agencies succeeding are those positioning themselves as AI search authorities now, not waiting to see how things shake out.

Get Started With Visto

Visto helps agencies measure AI visibility and manage the work.

Built specifically for marketing agencies, the platform shows where your brand appears in AI answers, summarizes citations across engines, and highlights the pages most likely to move the needle.

Visto provides:

  • Direct access to GEO experts who understand agency needs.
  • Consistent product updates aligned with the latest AI search trends.
  • The ability to influence the roadmap with your input.
  • Education and support to confidently lead your clients through the AI shift.
  • Sales enablement tools that are purpose-built for marketing agencies to prospect clients.
  • A focus on actionability and optimization, in addition to visibility and analytics.

Don’t wait for your clients to ask why they’re invisible in AI search. Position your agency as the AI search authority they need right now.

Special Offer: For SEJ readers, sign up for three months free access and start prospecting and serving clients.


Image Credits

Featured Image: Image by Visto. Used with permission.

The Great Reversal: Why Agencies Are Replacing PPC With Predictable SEO via @sejournal, @mktbrew

This post was sponsored by Market Brew. The opinions expressed in this article are the sponsor’s own.

What if your client’s PPC budget could fund long-term organic growth instead?

Why do organic results dominate user clicks, but get sidelined in budget discussions?

Organic Drives 5x More Traffic Than PPC. Can We Prove It?

The Short Answer: Yes!

Over the past decade, digital marketers have witnessed a dramatic shift in how search budgets are allocated.

In the past decade, companies were funding SEO teams alongside PPC teams. However, a shift towards PPC-first has dominated the inbound marketing space.

Where Have SEO Budgets Gone?

Today, more than $150 billion is spent annually on paid search in the United States alone, while only $50 billion is invested in SEO.

That’s a 3-to-1 ratio, even though 90% of search clicks go to organic results, and only 10% to ads.

It’s not because paid search is more effective. Paid search is just easier to measure.

But that’s changing with the return of attribution within predictive SEO.

What Is Attribution?

Attribution in marketing is the process of identifying which touchpoints or channels contributed to a conversion or sale.

It helps us understand the customer journey so we can allocate budget more effectively and optimize campaigns for higher ROI.

As Google’s algorithms evolved, the cause-and-effect between SEO efforts and business outcomes became harder to prove.

Ranking fluctuations seemed random. Timelines stretched.

Clients became impatient.

Trackable Digital Marketing Has Destroyed SEO

With Google Ads, every dollar has a direct, reportable outcome:

  • Impressions.
  • Clicks.
  • Conversions.

SEO, by contrast, has long been:

  • A black box.

As a result, agencies and the clients that hire them followed the money, even when SEO’s results were higher.

PPC’s Direct Attribution Makes PPC Look More Important, But SEO Still Dominates

Hard facts:

  • SEO drives 5x more traffic than PPC.
  • Companies pay 3x more on PPC than SEO.
Image created by MarketBrew, August 2025

You Can Now Trace ROI Back To SEO

As a result, many SEO professionals and agencies want a way back to organic. Now, there is one, and it’s powered by attribution.

Attribution Is the Key to Measurable SEO Performance

Instead of sitting on the edge of the search engine’s black box, guessing what might happen, we can now go inside the SEO black box, to simulate how the algorithms behave, factor by factor, and observe exactly how rankings react to each change.

This is SEO with attribution.

Image created by MarketBrew, August 2025

With this model in place, you are no longer stuck saying “trust us.”

You can say, “Here’s what we changed. Here’s how rankings moved. Here’s the value of that movement.” Whether the change was a new internal link structure or a content improvement, it’s now visible, measurable, and attributable.

For the first time, SEO teams have a way to communicate performance in terms executives understand: cause, effect, and value.

This transparency is changing the way agencies operate. It turns SEO into a predictable system, not a gamble. And it arms client-facing teams with the evidence they need to justify the budget, or win it back.

How Agencies Are Replacing PPC With Measurable Organic SEO

For agencies, attribution opens the door to something much bigger than better reporting; it enables a completely new kind of offering: performance-based SEO.

Traditionally, SEO services have been sold as retainers or hourly engagements. Clients pay for effort, not outcomes. With attribution, agencies can now flip that model and say: You only pay when results happen.

Enter Market Brew’s AdShifted feature to model this value and success as shown here:

Screenshot from a video by MarketBrew, August 2025

The AdShift tool starts by entering a keyword to discover up to 4* competitive URLs for the Keyword’s Top Clustered Similarities. (*including your own website plus 4 top-ranking competitors)

Screenshot of PPC vs. MarketBrew comparison dashboard by Marketbrew, August 2025

AdShift averages CPC and search volume across all keywords and URLs, giving you a reliable market-wide estimate and details for your brand towards a monthly PPC investment to rank #1.

The dashboard of a business dashboard.
Screenshot of a dashboard by Marketbrew, August 2025

AdShift then calculates YOUR percentage of replacement for PPC to fund SEO.

This allows you to model your own Performance Plan with variable discounts available to the Market Brew license fees with an always less than 50% of PPC Fee for clicks replaced by new SEO traffic.

The dashboard for a business account.
Screenshot of a dashboard by Marketbrew, August 2025

AdShift simulates a PPC replacement plan option selected based on its keywords footprint to instantly see savings from the associated Performance Plans.

That’s the heart of the PPC replacement plan: a strategy you can use to gradually shift a  clients’ paid search budgets into measurable performance-based SEO.

What Is A PPC Replacement Plan? Trackable SEO.

A PPC replacement plan is a strategy in which agencies gradually shift their clients’ paid search budgets into organic investments, with measurable outcomes and shared performance incentives.

Here’s how it works:

  1. Benchmark Paid Spend: Identify the current Google Ads budget, i.e., $10,000 per month or $120,000 per year.
  2. Forecast Organic Value: Use search engine modeling to predict the lift in organic traffic from specific SEO tasks.
  3. Execute & Attribute: Complete tasks and monitor real-time changes in rankings and traffic.
  4. Charge on Impact: Instead of billing for time, bill for results, often at a fraction of the client’s former ad spend.

This is not about replacing all paid spend.

Branded queries and some high-value targets may remain in PPC. But for the large, expensive middle of the keyword funnel, agencies can now offer a smarter path: predictable, attributable organic results, at a lower cost-per-click, with better margins.

And most importantly, instead of lining Google’s pockets with PPC revenue, your investments begin to fuel both organic and LLM searches!

Real-World Proof That SEO Attribution Works

Agencies exploring this new attribution-powered model aren’t just intrigued … they’re energized. For many, it’s the first time in years that SEO feels like a strategic growth engine, not just a checklist of deliverables.

“We’ve pitched performance SEO to three clients this month alone,” said one digital strategy lead. “The ability to tie ranking improvements to specific tasks changed the entire conversation.”

Sean Myers, CEO, ThreeTech

Another partner shared,

“Instead of walking into meetings looking to justify an SEO retainer, we enter with a blueprint representing a SEO/GEO/AEO Search Engine’s ‘digital twin’ with the AI-driven tasks that show exactly what needs to be changed and the rankings it produces. Clients don’t question the value … they ask what’s next.”

Stephen Heitz, Chief Innovation Officer, LAVIDGE

Several agencies report that new business wins are increasing simply because they offer something different. While competitors stick to vague SEO promises or expensive PPC management, partners leveraging attribution offer clarity, accountability, and control.

And when the client sees that they’re paying less and getting more, it’s not a hard sell, it’s a long-term relationship.

A Smarter, More Profitable Model for Agencies and SEOs

The traditional agency model in search has become a maze of expectations.

Managing paid search may deliver short-term wins, but it comes to a bidding war with only those with the biggest budgets winning. SEO, meanwhile, has often felt like a thankless task … necessary but underappreciated, valuable but difficult to prove.

Attribution changes that.

For agencies, this is a path back to profitability and positioning. With attribution, you’re not just selling effort … you’re selling outcomes. And because the work is modeled and measured in advance, you can confidently offer performance plans that are both client-friendly and agency-profitable.

For SEOs, this is about getting the credit they deserve. Attribution allows practitioners to demonstrate their impact in concrete terms. Rankings don’t just move, … they move because of you. Traffic increases aren’t vague, … they’re connected to your specific strategies.

Now, you can show this.

Most importantly, this approach rebuilds trust.

Clients no longer have to guess what’s working. They see it. In dashboards, in forecasts, in side-by-side comparisons of where they were and where they are now. It restores SEO to a place of clarity and control where value is obvious, and investment is earned.

The industry has been waiting for this. And now, it’s here.

From PPC Dependence to Organic Dominance — Now Backed by Data

Search budgets have long been upside down, pouring billions into paid clicks that capture a mere fraction of user attention, while underfunding the organic channel that delivers lasting value.

Why? Because SEO lacked attribution.

That’s no longer the case.

Today, agencies and SEO professionals have the tools to prove what works, forecast what’s next, and get paid for the real value they deliver. It’s a shift that empowers agencies to move beyond bidding-war PPC management and into a lower cost & higher ROAS, performance-based SEO.

This isn’t just a new service mode it’s a rebalancing of power in search.

Organic is back. It’s measurable. It’s profitable. And it’s ready to take center stage again.

The only question is: will you be the agency or brand that leads the shift or watch as others do it first?

Citations

Image Credits

Featured Image: Image by Market Brew. Used with permission.

In-Post Image: Images by Market Brew. Used with permission.

Your Next Time Saver: How To Use AI To Save Time On Hosting Maintenance, Agency Edition via @sejournal, @Hanrahan7

This post was sponsored by Cloudways. The opinions expressed in this article are the sponsor’s own.

Have you ever woken up to a 3 AM client website panic?

Did your client’s ecommerce site crash during a flash sale?

Has another client asked why their site is slow, “even though we’re paying for premium hosting.”

This isn’t just an occasional nuisance.

If you’re managing multiple client sites, hosting maintenance becomes a full-on job in itself. The worst part? None of this time is billable, and every minute spent troubleshooting is a minute you’re not spending on business growth.

Here’s the truth: The way you handle hosting maintenance may be broken. And it’s costing you far more than you realize, in time, money, and missed opportunities.

In this article, we’ll explore:

Ways You’re Accidentally Draining Agency Revenue

You and your agency may lose countless hours to hosting maintenance without realizing the true cost.

Behind every “quick fix” lies a hidden drain on productivity and profits.

Are You Doing This?

A frantic client message or monitoring alert, often hours after the problem started. Then:

  • Developers scramble to check logs and test configurations.
  • The team disables plugins one by one as a diagnostic method.
  • Someone finally contacts hosting support after internal efforts fail.
  • The issue gets resolved (often) after hours of back-and-forth.

The financial impact is staggering when you do the math.

Consider an agency managing just 30 websites.

If each site experiences only 2 hosting incidents per month requiring 3 hours to resolve, that’s 180 hours annually.

This is nearly an entire month’s worth of lost productivity.

  • Average resolution time: 3.5 hours per incident.
  • For an agency with 50 client sites, 4,200 hours/year lost.
  • At a $150/hour billable rate → $630,000 potential revenue wasted.

Beyond direct costs, this broken system creates three major problems:

  1. Team burnout – Constant firefighting demoralizes developers
  2. Client distrust – Repeated issues make your agency look incompetent
  3. Growth stagnation – Leadership spends time troubleshooting instead of scaling

Each downtime incident plants seeds of doubt about your agency’s technical competence. After just a few occurrences, clients start questioning why they’re paying premium rates for what feels like unreliable service. This erosion of confidence makes contract renewals harder and opens the door for competitors.

How To Solve Client Website Hosting Issues

Most agencies cycle through the same ineffective solutions, each with significant drawbacks:

Don’t: Only Take The Staffing Approach

The most common solution is hiring dedicated infrastructure staff. Many agencies believe bringing a systems admin or DevOps engineer on board will solve their hosting woes. While this provides more control, it creates new problems. You’re now responsible for recruiting, managing, and covering the cost of specialized technical talent.

  • $85k+ annual salary for each infrastructure specialist.
  • Ongoing management overhead for technical staff.
  • Limited availability for after-hours emergencies.
  • Still requires hosting provider support for complex issues.

Don’t: Just Take The Managed Hosting Solution

Many agencies turn to managed hosting providers to alleviate their maintenance burden.

Technically adept teams can absolutely handle straightforward server-level maintenance, security patches, and core updates; however, most still require some additional support when faced with:

  • Application-specific troubleshooting (plugin conflicts, theme issues).
  • Custom performance optimization.
  • Specialized configurations.

The key difference lies in how managed hosting providers address these residual needs. Traditional hosting providers might still leave you waiting in support queues, while next-gen platforms automatically begin repairs.

Don’t: Simply Use Website Uptime Monitoring Tools

You may think about attempting to solve the problem through monitoring tools.

Website monitoring tools layer on services like New Relic, Datadog, and UptimeRobot, hoping the better visibility will reduce firefighting.

While these tools provide valuable data, they primarily generate more alerts for your team to interpret and take action on. You’ve essentially traded one problem for another – instead of lacking information, you’re now drowning in it.

  • Alert overload from multiple systems.
  • False positives that waste investigation time.
  • No actionable insights – just more data to interpret.
  • Still requires manual diagnosis and resolution.

Do: Incorporate AI-Powered Hosting Maintenance

Imagine, instead of the chaotic process, you:

  1. Know about issues before clients did.
  2. Understand exactly what went wrong, in plain English.
  3. Get step-by-step instructions to fix it immediately.

Copilots that can do these tasks are your first step towards using and creating a self-learning, auto-healing hosting platform.

They can use intelligent monitoring to detect and help resolve the most common and critical server issues.

Hosting Maintenance: Before & After AI Integration

The Old Way:

  • Client reports site is down (30+ minutes after it actually went down).
  • You spend an hour checking logs and plugins.
  • You contact support and wait 2 hours for a response.
  • Support suggests a fix that may or may not work.
  • Total downtime: 4+ hours.

With Cloudways Copilot:

  • Copilot detects the issue immediately (often before users notice).
  • You receive an alert with exact cause and fix.
  • You implement the solution in minutes.
  • Total downtime: Dramatically reduced resolution time compared to traditional troubleshooting.

How To Get Automatic Hosting & Site Alerts, Repairs & Updates

You can configure Cloudways Copilot to manage many facets of web hosting.

Host Health

Triggers when your entire server goes down, typically from:

Webstack Health

  • Alerts when core services fail (Apache, Nginx, MySQL, PHP-FPM).
  • Catches crashes before they take sites offline.
  • Identifies resource exhaustion issues.

Disk & Inode Health

Warns before you hit critical limits:

  • Disk space (95%+ utilization).
  • Inode usage (separate from storage space).

Result: Instant problem detection!

Copilot continuously monitors your servers and applications for:

  • Performance bottlenecks.
  • Security threats.
  • Resource constraints.
  • Configuration errors.

Unlike traditional monitoring tools that just tell you “something’s wrong,” Copilot identifies the specific issue.

What AI Reports Look Like For Website Maintenance

For each problem detected, Copilot provides:

  1. What happened: The specific error or issue
  2. Where it occurred: Which site, which server
  3. Why it happened: The root cause analysis
  4. How to fix it: Step-by-step resolution instructions

Real-World Example

Instead of just “High CPU Usage” alert, Copilot tells you:

“Your WordPress site on Server X is experiencing high CPU due to a poorly optimized WooCommerce query in Plugin Y. Disable the plugin or contact the developer for an update.”

To be more specific, the example below shows Copilot detecting a DDOS attack, listing malicious IPs, and identifying the file that is being attacked. It then provides remediation steps to prevent the DDOS attack.

Investigation Summary

The investigation shows that much of the server load is driven by multiple concurrent Magento cron tasks and frequent POST requests to the xmlrpc.php endpoint. These factors have caused high CPU usage and intermittent HTTP 500 errors. It appears that the repeated bot visits to xmlrpc.php and resource-intensive Magento cron jobs are the likely cause of the problem.

Remediation Steps

To mitigate the issues related to the potential DDoS attack and improve server performance, please follow these steps:

  1. Block Offending IPs: Use the `.htaccess` file to block the specific IP addresses that are contributing to the abuse. Add the following lines to your .htaccess file:
    1. deny from 66.249.75.34
    2. deny from 114.119.136.249
    3. deny from 182.43.65.168
  2. Implement Cloudflare: If you haven’t already, consider setting up Cloudflare for your application. This will enhance your website’s security and help mitigate DDoS attacks by filtering malicious traffic before it reaches your server. Follow the integration steps provided by Cloudways to set up CNAME records.
  3. Enable Under Attack Mode: Once Cloudflare is set up, enable Under Attack Mode, which performs an extra security check for every visitor and helps protect your site from ongoing DDoS attacks, especially targeting specific URLs like /xmlrpc.php.

By taking these actions, you can significantly reduce the strain on your server and improve its performance.”,

Support links:

https://support.cloudways.com/en/articles/6009152-how-to-integrate-cloudflare-with-your-application

https://support.cloudways.com/en/articles/5120765-how-to-monitor-system-processes-using-htop-command

This is how Cloudways Copilot uses AI to identify hosting and server issues by comparing them to similar cases across the fleet, quickly suggesting the most effective remediation solutions with step-by-step instructions. This saves you time by providing immediate solutions without the need for manual detection, troubleshooting, or back-and-forth support tickets, preventing disappointment for your clients.

Image create by Cloudways, April 2025

At the end of the day, hosting headaches shouldn’t waste your agency’s most valuable resource: time. Every minute spent troubleshooting is a minute taken away from client work, business growth, or simply having a life outside of server emergencies.

Cloudways Copilot tackles this problem at its root by:

  • Detecting issues before clients notice.
  • Pinpointing exactly what broke and why.
  • Showing where problems occurred (specific apps/servers).
  • Providing step-by-step fixes in plain language.
  • Cutting resolution time from hours to minutes.

What’s coming next makes Cloudways Copilot even better:

  • One-click fixes – Resolve common errors automatically with a single click
  • Automated resolutions – Let Copilot handle routine tasks like server-wide cache purges and backup management
  • Developer workflows – Automate performance monitoring and testing to free up your team

Best of all? During our early access period, Cloudways Copilot is completely free. We’re currently onboarding users through our limited-access program – visit the Cloudways Copilot page and submit your details to secure your spot.


Image Credits

Featured Image: Image by Cloudways. Used with permission.

In-Post Image: Images by Cloudways. Used with permission.

GoDaddy Is Offering Leads To Freelancers And Agencies via @sejournal, @martinibuster

GoDaddy launched a new partner program called GoDaddy Agency that matches web developers with leads for small to mid-sized businesses (SMBs). It provides digital agencies with tools, services, and support to help them grow what they offer their customers.

The new program is available to U.S. based freelancers and web development agencies. GoDaddy offers the following benefits:

  • Client leads
    Partners are paired with SMBs based on expertise and business goals. GoDaddy delivers high-intent business referrals from GoDaddy’s own Web Design Services enquiries.
  • Commission revenue opportunities
    Partners can earn up to 20% commission for each new client purchases.
  • Access to premium WordPress tools
  • Co-branded marketing
    Top-performing partners benefit from more exposure from joint marketing campaigns.
  • Dedicated Support
    Every agency is assigned an Agency Success Manager who can help them navigate ways to benefit more from the program.

Joseph Palumbo, Go-to-Market and Agency Programs Director at GoDaddy explained:

“The GoDaddy Agency Program is all about helping agencies grow. We give partners the tools, support, and referrals they need to take on more clients and bigger projects—without adding more stress to their day. It’s like having a team behind your team.”

For WordPress Developers And More

I asked GoDaddy if this program exclusively for WordPress developers. They answered:

“GoDaddy has a wide variety of products to help make any business successful. So, this isn’t just about WordPress. We have plenty of website solutions, like Managed WordPress, Websites + Marketing or VPS for application development. Additionally, we have other services like email through Office 365, SSL certificates and more.”

Advantage Of Migrating Customers To GoDaddy

I asked GoDaddy what advantages can a developer at another host receive by bringing all of their clients over to GoDaddy?

They answered:

“First, our extensive product portfolio and diverse hosting selection allows agencies to house all and any projects at GoDaddy, allowing them to simplify their operations and giving them the opportunity to manage their business from a single dashboard and leverage a deep connection with a digital partner that understands their challenges and opportunities.

On top of that, there’s the growth potential. Every day, we get calls from customers who want websites that are too complex for us to design and build. So, we have created a system that instead of directing those customers elsewhere, we can connect with Web agencies that are better suited to handle their requests.

If a digital agency becomes a serious partner and the work they do meets our standards, and they have great customer service , etc. we can help make connections that are mutually beneficial to our customers and our partners.”

Regarding my question about WordPress tools offered to agency partners, a spokesperson answered:

“We have a wide variety of AI tools to help them get their jobs done faster. From website design via AI to product descriptions and social posts. Beyond our AI tools, agency partners that use WordPress can work directly with our WordPress Premium Support team. This is a team of WordPress experts and developers who can assist with anything WordPress-related whether hosted at GoDaddy or somewhere else.”

Takeaways

When was the last time your hosting provider gave you a business lead?  The Agency partner program is an innovative ecosystem that supports agencies and freelancers who partner with GoDaddy, a win-win for everyone involved.

It makes sense for a web host to share business leads from customers who are actively in the market for web development work with partner agencies and freelancers who could use those leads. It’s a win-win for the web host and the agency partners, an opportunity that’s worth looking into.

GoDaddy’s new Agency Program connects U.S.-based web developers, freelancers and agencies with high-intent leads from small-to-mid-sized businesses while offering commissions, tools, and support to help agencies grow their client base and streamline operations. The program is a unique ecosystem that enables developers to consolidate hosting, leverage WordPress and AI tools, and benefit from co-marketing and personalized support.

  • Client Acquisition via Referrals:
    GoDaddy matches agency partners with high-intent SMB leads generated from its own service inquiries.
  • Revenue Opportunities:
    Agencies can earn up to 20% commission on client purchases made through the program.
  • Consolidated Hosting and Tools:
    Agencies can manage multiple client types using GoDaddy’s product ecosystem, including WordPress, VPS, and Websites + Marketing.
  • Premium WordPress and AI Support:
    Partners gain access to a dedicated WordPress Premium Support team and AI-powered productivity tools (e.g., design, content generation).
  • Co-Branded Marketing Exposure:
    High-performing partners receive increased visibility through joint campaigns with GoDaddy.
  • Dedicated Success Management:
    Each partner is assigned an Agency Success Manager for personalized guidance and program optimization.
  • Incentive for Migration from Other Hosts:
    GoDaddy offers a centralized platform offering simplicity, scale, and client acquisition opportunities for agencies switching from other providers.

Read more about the GoDaddy Agency program:

GoDaddy Agency: A New Way to Help Digital Consultants Grow

Apply to join the Agency Program here.