Explore. Build. Grow
Explore. Build. Grow

Our flexible three-stage framework to craft digital experiences.

Learn more
Expertise
Outcomes
View our portfolio
View our portfolio

Explore our range of digital solutions.

Learn more
Industries
Our Approach to AI
Our Approach to AI

Keeping ourselves at the forefront of emerging technology is part of our DNA. But we recognise that ‘technology for technology’s sake’ is not the end goal – there is a balance to be struck.

Learn more
DXP
Headless
Cloud Platforms
Marketing Optimisation
Contact Us
Contact Us
Explore. Build. Grow
Explore. Build. Grow

Our flexible three-stage framework to craft digital experiences.

Learn more
Expertise
Outcomes
View our portfolio
View our portfolio

Explore our range of digital solutions.

Learn more
Industries
Our Approach to AI
Our Approach to AI

Keeping ourselves at the forefront of emerging technology is part of our DNA. But we recognise that ‘technology for technology’s sake’ is not the end goal – there is a balance to be struck.

Learn more
DXP
Headless
Cloud Platforms
Marketing Optimisation
Contact Us
Clear blue bottle lying down
Home / Insights / ＿

Time to value: The real bottleneck in AI search success

AI can find 100 SEO and GEO opportunities in an afternoon. Acting on them is the hard part. Here’s why time to value is the real bottleneck in AI search.

Shayna Burns
Shayna Burns&Natalie Khoo

29 October 2026

8 minute read

Over coffee recently, Shayna Burns (SEO & GEO Principal at Luminary) and Natalie Khoo (CEO of content strategy and copywriting agency Avion) realised they were both circling the same problem: good ideas keep sitting in the backlog. 

Through their discussion, they realised one of the biggest challenges facing SEO, GEO and marketing teams right now isn't knowing what to fix. It’s time to value (TTV), which stems from your operating model – the mechanics that turn an insight into an outcome. 

Time to value includes:

  • who owns the decision
  • what has to be approved by whom, and
  • how much delivery capacity exists to act on it. 

AI is shifting the value in SEO/GEO away from idea generation and towards quality assessment, prioritisation and delivery. Yet traditional constraints like team capacity and competing priorities are still stopping organisations from succeeding in AI search at the speed their CEO and board expect.

AI capability presents a world of possibilities

Over the last 12 months, AI search has stopped being a talking point and started being a line item. Organisations are investing on two fronts: becoming more visible in AI search while using AI tools, like agents, to do the work to get them there. For example:

  • LLMs can help us create and refine content.
  • Analytics platforms like Profound, Scrunch, Searchable and Athena help us understand how visible brands are in AI search.
  • CMS platforms like Optimizely and Kentico are beginning to embed AI agents that can recommend optimisations, draft content and support publishing workflows.

Collectively, these tools have made finding SEO and GEO opportunities much easier – so much so, that coming up with ideas is no longer the bottleneck. 

You can now use AI to identify 100 opportunities in one afternoon. But if it takes you six months to implement them, then the competitive advantage isn't the AI; it's your organisation's ability to action those recommendations and turn them into measurable outcomes. 

The bottleneck is time to value

Despite having more SEO and GEO ideas than ever before, many organisations continue to be constrained by the same things they always have been: competing priorities, missing fundamentals, gaps in governance and review cycles and capacity to implement.

Compounding this, your new SEO and GEO backlog might highlight gaps in content and technical foundations, like schema markup you could have added in 2012. These fixes cost little. The challenge is having someone to actually do them.

Your team is trying to learn fast, but while pages still go live with no H tags (or tags in the wrong order) and media is uploaded without captions, your organisation will struggle to show up in relevant AI searches. An organisation that jumps on the next big GEO play without fixing these basics is optimising the wrong layer, and missing gains in performance and accessibility, too.

Accessibility has been the right thing to do for years. Now suddenly it’s become more of a priority because accessible content (proper headings, alt text, clean markup) is also machine-readable.

This is what nobody likes hearing: AI is as likely to hand you unglamorous fixes as a clever new opportunity, and there's no shortcut through the boring ones.

The clever fixes still need a human. Where AI tools add value, they'll suggest things like "expand this page," "build more case studies" or "get more mentions elsewhere". Those recommendations can be valuable, but none of them happen on their own.

  • Someone still has to do the customer research.
  • Someone still has to get it past legal and compliance.
  • Someone still has to build the relationships for digital PR.

SEO and AI search success is earned by doing lots of small things well, consistently.

That's why time to value is becoming one of the most important KPIs in SEO and GEO. How quickly can you identify an opportunity, implement it, measure the impact and learn from the result? And how can you do that faster than your search competition?

The question nobody can answer: Who owns AI search?

Someone asked the Avion team this exact question recently: "Who should own AI search optimisation? Brand, marketing, content, PR, SEO?" They weren't being rhetorical. They genuinely didn't know, and neither did anyone else in the room.

Natalie hears this constantly, and it’s something the wider Luminary team discusses internally amongst developers, UX, content and SEO and GEO specialists. 

The reality is AI search is not any one team’s remit, and it takes more than just a project manager to make the magic happen. It requires a cross-functional effort. But with that comes the challenge of ownership.

If it’s not one team’s territory to own, then who owns it?  

It needs to come from the top down. For most organisations, that's the CMO, or someone the CMO empowers to own time to value across teams. This doesn’t mean they have to sign off on every miniscule detail, but they have the authority to pull content, SEO, development and compliance into one workflow. That person then becomes accountable for how quickly things get done.

Without a clear strategy from above on how time to value is addressed and embedded efficiently across teams, it continues to be everyone's problem in theory and no one's job in practice. The last thing any large organisation wants is to move at the speed of whoever took ownership that week.

The role of AI and agents in expediting time to value for SEO/GEO

How AI can and should be used to deliver SEO and GEO largely depends on what activities it augments, as well as the skills (and skill gaps) and capacity of your marketing and/or digital team.

Instead of being led by what AI could do, consider what it is your team actually needs help with. 

So how do you actually work out where AI fits? Here’s the assessment we’d recommend. 

Seven steps to determining how AI can be used for SEO/GEO in your organisation

1. Conduct a needs assessment. This should span your current operations, processes and workflows, barriers to delivery, skillset strengths and gaps, appetite for using AI, your responsible AI usage policy and more. 

2. After identifying your needs, assess what out-of-the-box AI tools exist to improve time to value where it’s most needed. These might exist as pre-made AI skills, agents offered within your CMS platform or DXP, or another form.

3. Conduct an expert review of the quality of AI/agent delivery from these out-of-the-box tools. Use a subject matter expert who knows what good looks like and who can identify the tool’s strengths and weaknesses – including when a human should be involved.

4. Once you know which SEO/GEO activities AI tools can be used for and which should be owned by humans, define use cases and workflows. Where can AI genuinely improve the content lifecycle? Is it research, opportunity identification, briefing, creation, optimisation, measurement? Distinguish between automation, augmentation and fully human-owned work.

5. Look at what training data you have. This includes:

  • Auditing what inputs you have. From a content perspective, this could be tone of voice guidelines, product overviews, audience research, or compliance rules.
  • Ensuring they are up to date or accurate. An AI agent can help you move fast, but this is moot if you constantly have to rework its outputs. 
  • Running another cross-check that the inputs offer clear guidance (like a manual with instructions), so AI can interpret key information easily.
  • Analysing what gaps exist, and creating those documents accordingly.  

6. Define a governance model. It's important to ensure that faster implementation doesn't come at the expense of quality. To avoid falling into this trap, create a governance model. Consider:

  • Access and use. Who can use which agents, and for what?
  • Ownership of quality. Who is best placed to check what goes into AI and what comes out, and how do they stay involved so standards don’t slip over time?
  • Review and approval. Where are the required human checkpoints, and who is accountable for sign-off?
  • Brand, legal and compliance. What requirements must every output meet?
  • QA and escalation. How is output evaluated, and what happens when something doesn’t pass?
  • Future-proofing. When will another audit be scheduled again, and how will new AI capabilities be assessed as they evolve?

Speed without governance introduces as much risk as the opportunities it affords.

7. Define a measurement framework. Think about what data you need to validate that you’re moving closer to your goals, such as:

  • Is it moving the numbers you actually care about, e.g. visibility, citations, traffic, conversions, revenue?
  • Are you tracking hours spent, consumer trust?
  • How are you measuring the impact of this pilot?
  • What’s your error or rework rate? How often does AI output need real human correction?
  • How many people are using it vs how many were onboarded?

Once the above is done, you can move onto configuring the SEO and/or GEO agent(s), rolling out your pilot and measuring impact on quality and time to value.

This isn’t just a marketing problem

If you’re a CMO or senior marketer, you know that every opportunity sitting unactioned is a cost somewhere. A competitor closing the gap. A budget that’s hard to justify next quarter. 

The case to make to your CEO or CFO isn’t “let’s use AI”; it’s “help us fix the operating model that decides how fast we can act on what AI finds”. 

Two questions to ask are:

  1. “Do we know our average time to value right now, from opportunity identified to outcome measured?”
  2. “Who owns that number (if anyone)?” 

If nobody does, then the gap isn’t in tooling but rather the operating model this whole blog post has been about. 

We don’t think AI is replacing SEO and GEO strategy, but we do think it’s changing where the value sits. 

Increasingly, value won't come from finding opportunities. It will come from building the operating model that allows your organisation to act on both foundational and innovative ideas quickly, confidently and at scale.

Shayna Burns
Shayna Burns&Natalie Khoo

29 October 2026

8 minute read

Enjoyed this article? Share it...

Want to know how well your current content is optimised for LLMs?

We'd be happy to discuss a GEO audit for your website. 

Get in touch

Keep Reading

Want more? Here are some other blog posts you might be interested in.

Follow
Contact Us
1300 554 891
hi@luminary.com

Our locations

Stay informed
Our best articles, observations and news delivered to your inbox
Subscribe
Flags

We acknowledge the Traditional Custodians of the land on which we work, live and engage. We pay respect to Elders past and present.

Luminary is a registered trademark of Luminary Digital Pty Ltd

Terms of Services
Privacy Policy