The Autonomous SEO Agent Difference (And Why Autopilot Fails)

In this week’s episode of Voices of Search, we spoke with Thenuka Karunaratne, CEO and co-founder of Sunbeam. Thenuka spent two years building Daydream into a fully AI-native SEO and AI search agency—raising more than $20 million in venture capital and working with companies ranging from pre-seed startups to public companies—before pivoting to build Sunbeam, an autonomous SEO agent designed to handle the full scope of on-site SEO strategy and execution without relying on rigid workflows.

Our conversation covered what actually separates autonomous agents from autopilot tools, why the SEO career is converging with product management, and what happens to competitive differentiation when every company runs on the same AI infrastructure.

Key Takeaways From This Episode:

• Autopilot and autonomy are not the same thing. Autopilot—setting an agent loose with no input and expecting results—produces garbage. Autonomy means the agent is proactive and doesn’t wait to be prompted, but still requires context, feedback, and a working relationship.
• The strategic layer of SEO was the hardest thing to automate, and it was the gap that pushed Daydream from a SaaS product into a fully managed service. That same gap is now what Sunbeam is built to close.
• Workflow-based AI tools are a transitional step, not the destination. The best version of AI in SEO behaves like a great team member—proactive, contextually aware, and operating across strategy, content, and technical work simultaneously.
• Product sense is the number one skill an SEO needs today. Without deep understanding of the product, how customers experience it, and what prospects ask during evaluation, keyword research alone produces the worst version of SEO.
• As agents absorb more tactical work, the SEO role is expanding outward—into product marketing, broader content strategy, and adjacent channels—not narrowing.

From SaaS to Agency to Autonomous Agent

Thenuka’s path to building Sunbeam wasn’t a straight line. When he started Daydream in 2023, the premise was straightforward: use early LLMs to automate programmatic SEO content creation at scale. The platform worked. What didn’t work was handing it to customers and expecting them to run it.

“We took it to heads of marketing, heads of growth, and very quickly realized the problem was that they didn’t know how to do the strategic part of SEO,” he said. The software could produce content, but without someone who understood how to structure a strategy above it, the output had nowhere to go.

That gap pushed Daydream into becoming a managed service provider—human-led SEO strategy wrapped around AI-powered execution. By the time reasoning models meaningfully improved toward the middle of last year, Thenuka started asking a different question: was it now possible to automate not just content creation but the entire chain of SEO work—from technical audits to keyword strategy to competitive analysis—without a human doing the strategic layer?

“For probably eight months or so, we were just hitting dead ends,” he said. “But towards the beginning of this year there were a number of inflection points.” Those breakthroughs became Sunbeam.

Why Autopilot Doesn’t Work—and What Autonomy Actually Means

The distinction Thenuka draws between autopilot and autonomy is one of the clearest and most practically useful things you can think of.

Autopilot, as he defines it, is the product category that promises you can install something, give it no input, and let it handle SEO end to end. “What you end up with is mostly a lot of garbage,” he said. The analogy he reaches for is direct: “If you hired someone and told them to just go do stuff without ever talking to them, locked them in a room—how would that create a great outcome?”

Autonomy is something different. An autonomous agent is proactive—it doesn’t wait to be told what to do next. But it still requires:

• Context about the business and the competitive landscape
• Feedback on what it creates and produces
• A working relationship with the person using it

“It is a proactive agent that operates without you prompting it to,” he said. “But it doesn’t mean it’s on autopilot.”

Workflows Are a Transitional Step, Not the Destination

Most AI SEO tools on the market today are built around workflows—a defined sequence of steps that an agent executes on a schedule. Thenuka’s argument is that this approach is fundamentally limited, not because workflows don’t work, but because they’re only as good as the person who designed them.

“When I think of any of the great SEO people that I work with, they are not running a workflow over and over again,” he said. “They are looking at the environment. They learn from what the best companies are doing. They look holistically at how the current SEO strategy reconciles with all of that.”

The version he’s building toward is closer to how a great team member actually operates:

• Noticing crawlability issues without being asked to check for them
• Flagging when content isn’t performing before anyone pulls a report
• Running competitive research proactively and surfacing what matters
• Moving on to the next strategic layer once one phase of work is done

“A workflow-based approach is as good as architecting a workflow and then telling an agent to run it,” he said. The more interesting version is an agent that constantly surfaces things you didn’t think to ask for—and then goes and executes them.

The Differentiation Problem No One Is Talking About

One of the most interesting parts of the conversation was Thenuka’s observation about what happens when AI infrastructure becomes commoditized across the industry.

Today, Sunbeam has an edge because its approach is differentiated. But as models keep improving and more companies build autonomous agents on the same foundational models, the gap between tools will narrow. 

“If you and your 10 next competitors all use the same agents, which are all riding the same improvements in the foundational models,” he asked, “what are the parameters for what determines who wins in SEO and who doesn’t?”

His answer points back to the human layer—specifically, the SEO practitioner who understands a product deeply enough to extract strategic insight that an agent working from keyword data alone never could. “The best SEO people, as agents come out, are only going more in demand exponentially,” he said. “They’re getting more business than ever.”

What separates them isn’t technical proficiency. It’s product sense.

Product Sense Is the Skill That Can’t Be Automated

Asked what the number one skill is for SEOs and organic marketers today, Thenuka didn’t say prompt engineering or technical SEO. He said product sense.

“If you don’t understand the product well, how will you understand what to cover about it, in what detail?” he said. 

The inputs that matter most to a great SEO strategy live in places agents struggle to access:

• What customers actually struggle with, surfaced in support tickets and call recordings
• What prospects ask during evaluation, buried in CRM notes and sales conversations
• What the company’s real priorities are, shaped by context that lives in hallway conversations and offsites

“A lot of this is implicit,” he said. “It happens at water cooler conversations, on walks with your boss. These things are very hard to replicate.” An agent can be connected to a help desk and a CRM and still miss the texture of what a product actually does for the people who use it. Closing that gap is a human job—and it’s the job that keeps SEO practitioners valuable as everything beneath them gets automated.

Where the SEO Role Goes From Here

That shift in what’s valuable points directly to how the profession evolves. As agents absorb more of the tactical layer, the SEO practitioner’s role doesn’t shrink—it expands outward.

“SEO is starting to get classified as a product role at more and more companies,” Thenuka said, pointing to examples like Pinterest and Coinbase. The freed-up bandwidth from automating tactical work doesn’t disappear—it gets redirected toward adjacent problems that an SEO is already well-positioned to own:

• Product marketing assets like comparison pages, alternative pages, and competitor positioning
• Content that’s great but not SEO-optimized, distributed across LinkedIn and other non-search channels
• Broader marketing strategy that benefits from the SEO practitioner’s understanding of how customers search and discover

“Many of the best SEO people will likely expand into other channels,” he said. The channel specialist is becoming a generalist—not because SEO is less important, but because agents are creating the leverage for one person to hold more of the picture at once.

The Hardest Thing to Move Is Still Authority

There’s one area where Thenuka is candid about what Sunbeam doesn’t do: off-page authority. Domain authority, in his view, is largely a byproduct of product-market fit—something the best-performing sites often accumulated without deliberate SEO effort, simply by building something people cared enough to reference.

“Domain authority is probably the hardest thing to move,” he said. “I’ve long been a believer that it is largely the byproduct of just product market fit.” 

Sunbeam focuses on on-site SEO—content strategy, content creation, and technical SEO fixes—and deliberately avoids authority-building approaches that could be done poorly at scale, like automating Reddit comments. “We don’t want it to just do bad SEO,” he said. “There’s a lot of bad SEO out there.”

That honesty is more useful than any tool claiming to solve everything. In a moment when the playbooks are still being written, and the tactics shift weekly, knowing what an agent shouldn’t touch is as important as knowing what it can.

The Future of SEO Belongs to Product Thinkers

The transition from rigid workflows to autonomous agents doesn’t mark the end of the SEO practitioner; it marks the end of tactical execution as a competitive moat. When every company gains access to the same baseline model capabilities, speed and content volume inevitably equalize across the landscape. The ultimate differentiator shifts entirely to human context—the deep, nuanced understanding of product nuance, customer pain points, and strategic positioning that no algorithm can extract from a CRM or a keyword database alone.

As autonomous systems absorb the burden of technical audits, routine execution, and reactive updates, the boundaries of the discipline naturally expand outward. The most effective SEOs are no longer channel specialists executing repetitive playbooks, but strategic operators driving broader marketing, product positioning, and cross-channel growth. 

The machine provides the leverage, but the human retains the vision—making product sense the single most defensible skill in modern search.

Voices of Search is a daily SEO and content marketing podcast hosted by Jordan Koene and Tyson Stockton. The show delivers actionable strategies and data-driven insights to help marketers navigate the ever-evolving world of search engine optimization and content marketing. New episodes air weekly, covering everything from technical SEO to AI discovery, featuring industry leaders and practitioners sharing real-world frameworks and proven tactics.

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