SEO vs GEO vs AEO vs LLMO: The 2026 Alphabet of Search, Explained

Search is fragmenting. In 2026, optimising for “search” means something completely different depending on where your audience is looking. They might be on Google, inside an AI app, asking a voice assistant, or chatting with an LLM. Your customers aren’t searching in one place anymore, and if you’re still treating SEO as a single strategy, you’re leaving revenue on the table.

Let’s break down what each of these actually means, what it costs to do well, and which ones your business should care about.

SEO: The Foundation (Still)

SEO is traditional search engine optimisation-your website ranking on Google, Bing, and DuckDuckGo for keywords people type. It’s not dead. In Australia, roughly 85-90% of search queries still happen on Google’s web search. If you’re selling anything to Australian consumers or B2B buyers, organic search visibility still drives real traffic and qualified leads.

But here’s what’s changed: SEO now has to support a multi-channel strategy, not be the strategy. A few concrete shifts:

• E-E-A-T demands real authority signals. Google wants to see actual expertise. That’s not just backlinks anymore-it’s original research, author credibility, cited data. A fintech we worked with saw a 40% traffic drop after a core update because their content looked thin. They rebuilt with founder bylines, methodology, and third-party validation. Rankings came back in 8 weeks.
• Site speed and Core Web Vitals matter more than most people admit. A page loading in 3 seconds versus 1 second is losing conversions daily. Australian e-commerce sites running on slow hosting are genuinely leaving AUD 2,000-5,000 per month on the table if they’re doing decent volume.
• Topic clusters beat single keyword posts. Google wants depth. One 2,000-word article about “small business accounting software” doesn’t rank like a cluster of 8-12 related articles built as a resource hub.

SEO still delivers ROI. It’s just slower (3-6 months to see real traction) and more work upfront. For Australian SaaS founders and software builders, SEO is still worth doing, but it’s now one piece of a bigger puzzle.

GEO: Location-Based Search Refinement

GEO isn’t a new concept, but it’s become way more important. Google Maps results, local pack rankings, and location-specific search intent are now crucial for any business with a physical presence or a geographically defined customer base.

For Australian businesses, this matters if:

1. You have a physical location (clinic, retail, office, warehouse).
2. You service a specific suburb, region, or state.
3. Your customers search “near me” or “[service] in [location]”.

The mechanics are straightforward: Google My Business optimisation, local schema markup, locally-relevant content, and location pages on your website. A physiotherapy clinic in Perth can’t just rank for “physiotherapy”-they need to own “physiotherapy in Subiaco” and “physio near Daglish”.

Cost-wise, GEO is cheap relative to other channels. A strong local SEO foundation costs AUD 3,000-8,000 to build properly, then AUD 500-1,500 per month to maintain. Payoff is fast: you’re typically seeing better local rankings in 4-8 weeks.

The trade-off: GEO only works if your business is location-dependent. A SaaS platform serving Australia-wide has minimal use for GEO beyond maybe state-level content variations.

AEO: Answer Engine Optimisation

AEO is the new phrase for optimising your content to show up in AI-powered answer engines. Think Perplexity, ChatGPT search, Claude’s search features, or even Google’s own AI Overviews.

Here’s the hard truth: AEO is where search is moving, and most Australian businesses aren’t doing it yet. These AI tools are pulling content from across the web and synthesising answers. If your content isn’t structured in a way that these systems can easily cite and extract, you’re invisible.

What actually works for AEO:

• Structured data and schemas. Marked-up facts, definitions, and claims that AI systems can parse. This isn’t optional anymore-it’s table stakes.
• Clear, citation-friendly format. Lists, definitions, data tables, and sourced claims. AI systems want to say “according to [source]”, which means your content needs to be obviously citable.
• Original data and research. AI systems will cite you if you’re the primary source. A startup publishing original research beats a thousand blog posts trying to explain existing research.
• Author and domain authority signals. AI systems check whether they should cite you as credible. This means your team’s credentials matter, and your domain’s history matters.

AEO isn’t a separate channel from SEO-it’s an evolution of content strategy. You’re not choosing SEO or AEO; you’re building content that works in both. If you’re building content from scratch now, designing it for AEO visibility is basically free. If you have existing content, refreshing it for AI extraction takes maybe 20% extra effort.

ROI is unclear because AEO is still early. Traffic from AI answer engines is growing fast, but it’s not replacing Google traffic yet. For most Australian businesses, AEO is a 2-3 year investment that’s starting to pay off now.

LLMO: Large Language Model Optimisation

LLMO is the newest term, and it’s basically AEO’s more specific cousin. It means optimising your content and product specifically for discovery and interaction with large language models-both public ones (ChatGPT, Claude, Gemini) and private ones that customers might build.

This sounds abstract, but the practical application is concrete:

A B2B SaaS platform optimised for LLMO might:

1. Publish API documentation in a format that LLMs can easily parse and embed in custom agents.
2. Create “instruction-friendly” content that an LLM can use to understand the product and recommend it.
3. Build integrations with popular LLM tools and plugins so customers’ AI agents can interact with the product directly.
4. Publish structured guides that an LLM can feed into a company’s internal knowledge base.

LLMO is less about ranking and more about being integrated into the tools your customers are already using. If a prospect is using ChatGPT, Claude, or a custom AI agent to research solutions, and your product is embedded in that workflow, you’re winning.

The investment is higher than basic AEO. You’re looking at API design, documentation refinement, and potentially partnerships with AI tool platforms. Budget AUD 15,000-40,000 to do this well as part of a larger product launch.

LLMO adoption is still early. Most Australian software companies aren’t doing this yet. That’s actually an advantage-early movers are getting mindshare.

Which One Should You Actually Do?

Here’s the straight answer: it depends on your business model and timeline.

If you’re a local service business (plumber, accountant, coach): SEO + GEO. That’s it. You’ll get 70-80% of your value from those two.

If you’re building a B2B SaaS product or AI tool: SEO + AEO, with LLMO as a 6-12 month follow-up. You want discovery through Google, AI answer engines, and LLM integration.

If you’re launching a content-first platform or media product: All four, but in order. SEO first for foundational traffic, then AEO for AI distribution, then LLMO for AI integration.

If you’re resource-constrained (which most startups are): Pick one and do it well. SEO has the longest track record and broadest audience. AEO is where the momentum is. Pick based on where your customers actually search.

The good news: these aren’t completely separate efforts. Good content that ranks on Google usually works in AI answer engines too. Structured data helps both. The work overlaps more than you’d think.

If you’re building new software or refining your growth strategy, talk to Amora about your build. We think in systems, not channels. That’s how you actually move markets.