The SEO industry loves a good rebrand. First, we had the whispers of “GEO” (Generative Engine Optimisation). Then came “AEO” (Answer Engine Optimisation). LinkedIn was awash with hot takes, agency pivots, and proclamations that traditional SEO was dead. 

But here’s the thing: whilst the search landscape is undoubtedly evolving with AI Overviews (AIO), ChatGPT Search, and other LLM-powered discovery tools, the fundamental principles of good optimisation haven’t changed; they’ve simply been reprioritised.

At Organic, we’re not abandoning SEO for the latest buzzword. We’re doing what we’ve always done: adapting our strategies to meet users where they are, using data to inform decisions, and staying ahead of algorithmic shifts. That means prioritising the elements that work for both traditional search engines and AI systems, whilst developing innovative approaches to measure performance across these new discovery channels.

Why we’re not rebranding to GEO (or AEO, or AISO, or LLMO, or EIEIO)

The fundamentals haven’t changed

Google’s own guidance is refreshingly straightforward: good SEO is good GEO. When John Mueller and other Google representatives discuss AI Overviews, they consistently emphasise that the same quality signals matter. E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) isn’t suddenly obsolete because an LLM is synthesising information – it’s more critical than ever.

The core ranking factors that have driven organic success for years remain relevant:

• Content quality and relevance: LLMs favour comprehensive, well-structured content
• Technical SEO fundamentals: Crawlability, site speed, and mobile optimisation still matter
• Authority signals: Backlinks and brand mentions influence AI-generated responses
• Structured data: Schema markup helps AI systems understand context and relationships
• User experience metrics: Engagement signals inform both traditional rankings and AI training data

Rebranding your entire approach because AI Overviews is involved is a bit like saying you need “Mobile Engine Optimisation” when responsive design becomes critical. It’s the same discipline, adapted for new contexts. 

The LLM question: is it really that different?

It’s a little more complicated when you consider the ChatGPT of it all, as this and other LLMs are off the traditional SERP (Search Engine Results Page). This has made some people think we needed a whole new discipline, much like how “TikTok SEO” became a thing for optimising content on that platform. 

But here’s the key difference: the changes you make to improve your visibility in LLMs like ChatGPT are still fundamentally website optimisations; better content structure, clearer authority signals, comprehensive topic coverage. You’re working on your own site and building authority through the same referral sources (backlinks, citations, brand mentions) that traditional SEO has always targeted. 

Unlike social media SEO, where you’re optimising content within a separate platform’s ecosystem, optimising for LLMs is still very much core SEO work. The distribution channel has changed, but the optimisation happens in the same place it always has: your website and your broader digital presence.

The snake oil merchants have entered the chat

Of course, where there’s technological change and a touch of fear, there are opportunists with pristine LinkedIn profiles and an urgent message for you: “AI search is here, SEO is dead, and you need our revolutionary GEO service RIGHT NOW, or your competitors will leave you in the digital dust.”

We’ve seen the pitch decks. We’ve sat through the webinars (so you don’t have to). And frankly, it’s exhausting.

The AI hype cycle has given rise to a cottage industry of agencies repackaging basic SEO services with a hefty “AI transformation” premium. Suddenly, a content audit becomes a “GEO readiness assessment” at triple the price. “Limited availability this quarter only” for a service that’s been part of standard SEO practice since 2011.

Here’s the uncomfortable truth these sales teams at GEO-right-now won’t tell you: if an agency claims GEO is a completely separate discipline, unrelated to your SEO work, they’re either misinformed or banking on you being so. Yes, AI search introduces new considerations. Yes, measurement frameworks are evolving. But the idea that you need to abandon your existing SEO strategy and start from scratch with an expensive new acronym? Pressure selling with a chatbot veneer.

We’re not that kind of agency. We don’t do artificial scarcity; we don’t add “AI-powered” to every service description for a 40% markup. The truth is more boring; good SEO has always evolved with search behaviour. We adapted for mobile. We adapted for featured snippets. We’re adapting to AI. It’s what we do. No rebrand required.

Reprioritising and building on the foundations 

The reality is that most of what makes your content visible in AI-powered search is identical to what’s always worked in traditional SEO. This Venn diagram illustrates the overlap: brand authority, E-E-A-T signals, solid site architecture, and crawlability sit firmly in the centre, foundational to both.

On the left, you’ve got traditional SEO elements like keyword research and competitor analysis. On the right, newer AI-specific tactics like prompt gap analysis and sentiment tracking of AI citations. But these aren’t separate workstreams; they’re interdependent. Query fan-out analysis is far less effective if you haven’t nailed basic keyword targeting first. Brand mention tracking in AI responses will be underwhelming if you haven’t built topical authority through consistent content and backlinks. The new tactics amplify the fundamentals; they don’t replace them.

Good SEO has always been about making your expertise discoverable and understandable, whether that’s to a search engine crawler or an LLM trying to synthesise an answer. The tools and measurement methods evolve, but the principles remain remarkably consistent.

No gimmicks: why we’re avoiding short-term tactics

The SEO industry has already seen the emergence of AI-specific “hacks”, tactics designed to game visibility in AI Overviews or LLM responses. One popular example: flooding Reddit with brand mentions to capitalise on Reddit’s prominence in AI training data and Google’s content partnership.

Here’s why we’re not touching these approaches:

1. Algorithmic volatility: What works today may be penalised tomorrow as ranking systems mature
2. Platform risk: Reddit and similar communities are cracking down on inauthentic engagement
3. Sustainability: Gimmicks require constant pivoting; fundamentals compound over time
4. Brand reputation: Being caught manipulating communities damages long-term trust
5. ROI uncertainty: Early gains often disappear as algorithms adjust, wasting client investment

We’ve seen this pattern before with every major search update. Remember when private blog networks were the shortcut to rankings? Or writing keywords in white on a white background in your footer worked, and no one but bots could see it?  Short-term tactics burn clients and erode trust.

Instead, we focus on sustainable organic growth strategies that build genuine authority and deliver compounding returns.

Innovating in AI performance measurement

One of the biggest challenges in the AI search era is measurement. Traditional SEO KPIs like rankings, CTR, and organic traffic don’t fully capture performance when users find answers outside Google, and may not even result in a click to your website. We’re developing new frameworks to track and analyse AI-driven activity:

New Monitoring

We’re developing tracking to monitor AI-driven visibility across multiple channels. This includes tracking when your content appears in Google AI Overviews and comparing your presence against all available overviews for your target keywords, giving us a clear picture of your share of AI overview visibility in SERPs, as well as tracking rankings and other SERP features. We’re also capturing AI Overview-specific queries by monitoring the URL parameters that Google appends when users click through from these results, revealing which AI-generated snippets are actually driving engagement. 

For ChatGPT Search, we’re conducting a query fan-out analysis, systematically testing prompt variations to understand the logic and resources behind different outputs and identify the patterns that drive citations. We’re also separating LLM traffic from your organic analytics, isolating these referral sources to understand how AI-driven discovery translates into actual site visits. 

These are just a few examples; we’re capturing other data points as new measurement opportunities emerge. Essentially, we’re building the analytics infrastructure for AI search as the landscape evolves, and we’re also using third-party tools to aggregate information from their tracking, too.

Brand visibility and Share of Intent

AI visibility is just one piece of a larger puzzle; we’ve been working on helping clients understand their share of customer intent across the entire discovery landscape. 

Developed to map market share across traditional search, social media, and user-generated content, our intentOS platform provides comprehensive intent analysis that helps us understand not just where you appear, but how much of the available customer intent you’re capturing versus competitors. 

As these measurement capabilities mature, we’re sharing insights with clients through intentOS reporting that connects performance across multiple discovery channels to broader market position, giving you strategic recommendations grounded in comprehensive visibility data across the digital landscape.

The path forward: integration, not replacement

The emergence of AI-powered search isn’t a fork in the road; it’s an extension of the same journey we’ve been on since search engines first appeared. The most successful organisations won’t be those who abandon proven SEO principles for the latest trend. They will be those who integrate new AI considerations into comprehensive, data-driven strategies.

At The Organic Agency, our approach is straightforward: maintain excellence in traditional SEO fundamentals whilst systematically incorporating AI-optimised elements and measurement frameworks. We’re working with Google’s own recommendations rather than against them, recognising that the same quality signals that earned rankings yesterday will drive visibility tomorrow – whether that’s in a traditional SERP or an AI-generated response.

The search landscape is evolving, and so are we. But we’re doing it strategically, transparently, and always with client ROI at the forefront. No rebrands, no gimmicks, just continuous adaptation backed by data and executed with expertise.

That’s not just good SEO. It’s future-proof organic growth.