Deep dive

SEO + LLMO Strategy: Data-Driven Organic Growth Roadmaps for Ambitious Brands

For American Express, this framework set a 26% year-on-year growth target across 20+ international markets — tiered, prioritised and commercially grounded.

The Problem with Most SEO Strategies

Most SEO strategies fail not because the tactics are wrong but because the strategy is not really a strategy at all. It is a list of activities — publish more content, build more links, fix technical issues — presented in a document that is called a strategy but lacks the essential characteristics of one: a clear statement of commercial objectives, a defined approach to reaching them, a prioritised allocation of resources, and a framework for measuring whether it is working.

The consequence is SEO activity that is disconnected from commercial outcomes. Content is published without a clear map to the queries it is designed to capture or the user journey stage it is intended to support. Technical fixes are implemented based on audit checklists rather than on an understanding of which issues are actually costing performance. Link building is pursued because links are good, without a specific authority gap identified against a specific competitive target. Progress is reported in rankings and traffic, with no clear line connecting those metrics to the revenue outcomes the business actually cares about.

The SEO + LLMO Strategy we build at Laurelin Labs is designed to solve this problem. It starts from commercial objectives and works backward to the specific activities that will achieve them — not the other way around. Every element of the strategy has a commercial rationale, a priority score, and a measurable outcome.

The Strategic Statement: Your North Star

Every strategy we build begins with a strategic statement — a single sentence that connects your target audience, your commercial objective, your channel approach, and the reason why this approach is the right one for your specific situation. The format, adapted from the strategic frameworks used for American Express, Post Office and Levi’s, follows the structure: Get [audience] to [objective] by [approach] because [rationale].

For Post Office, the strategic statement defined a specific audience — younger adults at middle life stages looking for financial or insurance products — a clear objective — increasing consideration and enquiries for financial services — a specific approach — increasing online visibility through relevant and inspiring digital content — and a rationale grounded in the market analysis that showed Post Office was a trusted brand with very low visibility in the most commercially valuable financial product categories.

The strategic statement does two things simultaneously. It is short enough to be remembered and referenced throughout the programme — the test for every subsequent decision is whether it serves the strategic statement. And it is specific enough to be meaningful — it rules out as many activities as it rules in, which is essential for keeping a long-term programme coherent and on track.

The Three-Pillar Framework

Organic search performance is determined by three interconnected factors, each of which requires a different type of work, a different team, and a different investment horizon. The strategy allocates resource and priority across all three, based on the audit and opportunity analysis findings.

Accessibility: The Technical Foundation

Accessibility covers every technical factor that affects whether your content can be crawled, indexed and served by search engines. It includes site architecture, crawl efficiency, page speed, mobile experience, canonicalisation, redirect health, and structured data implementation. Accessibility issues are typically the highest-priority fixes because they are blocking performance regardless of content or authority quality — and they are usually the quickest wins available. The strategy specifies which accessibility issues to address first, in what order, and with what expected impact, based on the technical audit findings.

Relevance: Content and On-Page Optimisation

Relevance covers the alignment between your content and the queries your audience is searching for. It includes on-page optimisation — title tags, headings, body copy, internal linking — and content creation to address the Red and Amber gaps identified in the opportunity analysis. The relevance strategy is the most content-intensive element of the programme, and it requires the closest coordination with editorial, product and marketing teams. The strategy provides a prioritised content roadmap — what to create, what to optimise, in what order, targeting which keywords, for which audience segments — with 90-day quick-win priorities and a 12-month programme view.

Authority: Links, E-E-A-T and Off-Site Signals

Authority covers the signals — primarily external links and E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) — that determine how much weight search engines give to your content relative to competitors. Authority is the slowest-moving element of organic strategy, the hardest to measure, and the most competitively significant in mature categories. The authority strategy identifies the specific authority gap between your domain and your key competitors, sets a target domain authority, and defines the specific link-earning activities — content-led outreach, PR collaboration, partnership link building — that will close that gap over the programme period.

The LLMO Layer: Optimising for AI-Generated Answers

LLMO — Large Language Model Optimisation — is the dimension of modern organic strategy that most agencies are not yet including in their work, and the dimension that is becoming most consequential for brands operating in competitive informational categories. Google’s AI Overviews, Perplexity, ChatGPT’s Browse capability and other AI-native search tools are becoming primary discovery interfaces for a significant and growing proportion of queries. The brands cited in those AI-generated answers capture visibility — and trust — that no traditional search result can match.

The LLMO strategy addresses five specific areas. Entity optimisation ensures that the key concepts, products and people associated with your brand are clearly defined and consistently described across your site, giving language models the context they need to understand and accurately represent your brand in generated answers. Structured content guidelines ensure that key pages are formatted in a way that facilitates AI citation — direct answers at the beginning of sections, clear heading hierarchy, FAQ coverage for the most common queries in your category. E-E-A-T strengthening identifies the specific evidence of experience, expertise, authoritativeness and trustworthiness that should be made more visible and prominent on key pages. Schema implementation ensures that every page type has appropriate JSON-LD markup, with FAQPage, Article, Service and Organisation schemas correctly implemented and validated. And citation readiness review ensures that statistics, definitions and claims on key pages are clearly attributed and quotable in isolation — structured in a way that an AI system can extract and reference without misrepresenting the source.

Tiered Prioritisation: The American Express Model

For brands operating across multiple markets, product categories, or audience segments, a tiered prioritisation model is essential. It is not possible — or desirable — to pursue every opportunity simultaneously. The tiering model establishes a principled framework for allocating resource across different areas of the strategy, based on the commercial value of the opportunity and the investment required to capture it.

For American Express across 20+ international markets, the tiering model divided markets into three tiers based on new account acquisition potential and the investment required to realise it.

  • Tier 1 markets — the UK, Canada and Australia — received 70% of the total programme resource and were forecast to deliver 74% of the total new account acquisition growth.
  • Tier 2 markets received 20% of resource, focused primarily on accessibility and on-site relevance improvements.
  • Tier 3 markets received 10%, focused solely on maintaining accessibility standards.

The same framework applies at product category, keyword category or content type level. The strategy identifies the tier for every major initiative in the programme, ensuring that resource allocation is explicit, defensible and optimised for commercial return.

The 90-Day Quick-Win Plan and 12-Month Roadmap

Every strategy includes two time horizons. The 90-day quick-win plan identifies the highest-impact, lowest-effort activities available — the actions that can be implemented immediately, without significant technical or editorial resource, and that will produce measurable performance improvements within the first quarter. These are the activities that build momentum, generate early evidence of impact, and create internal confidence in the programme.

The 12-month roadmap phases the broader programme across four quarters, with clear activity milestones, dependencies, and expected performance outcomes at each stage. It identifies which activities are sequential — where technical work must precede content work, or where content must precede authority building — and which can run in parallel. It also identifies the resource requirements for each phase, so that the people, budget and tool access needed are in place before they are required.

The Measurement Framework

A strategy without measurement is not a strategy — it is a plan that cannot be evaluated, adjusted or defended. The measurement framework defines the specific metrics that will be tracked, the tools that will be used to track them, the reporting cadence, and the decision rules that will determine when and how the strategy will be adjusted in response to performance data.

Core metrics typically cover organic sessions and session share, keyword ranking improvements across target categories, share of voice versus the defined competitor set, organic-attributed leads or conversions, and — where measurable — AI Overview and citation appearances. Each metric is tied to a specific strategic objective, so that every reporting conversation can connect performance data to commercial outcomes rather than treating organic metrics as ends in themselves.

Frequently Asked Questions

What is the difference between the Opportunity Analysis and the SEO Strategy?

The Opportunity Analysis establishes where you are — it maps the gap between your current position and the available search demand. The SEO Strategy builds the roadmap for how to close that gap. Most clients do the Opportunity Analysis first; the strategy is significantly more effective when it is grounded in an accurate map of the opportunity.

Does the strategy include execution?

The strategy is a planning and advisory deliverable — it tells you what to do and why, with sufficient specificity to brief execution to your in-house team, a development partner, or a retained agency. We can also deliver against the strategy on a retained basis — ask us about this on your discovery call.

How long does the strategy take to deliver?

Typically 3–4 weeks from briefing and data access to final delivery, including stakeholder interviews, data analysis, strategy development and presentation. For larger or more complex programmes — multiple markets, multiple product categories — additional time may be required.

We already have an SEO strategy from another agency. Can you review it?

Yes. We will assess your existing strategy as part of the briefing process — reviewing it against the opportunity map, the competitive landscape and the three-pillar framework — and build on or replace it depending on its quality and current relevance. An honest assessment of what is working and what is not is a standard part of what we deliver.

The Bottom Line

A genuine SEO strategy — one that is connected to commercial objectives, grounded in competitive intelligence, allocated across a clear priority framework, and equipped with a measurement system — produces compounding returns over time. Every piece of content created to address a Red gap in the opportunity analysis earns authority over time. Every technical fix implemented allows the algorithm to index and rank existing content more effectively. Every authority-building initiative raises the floor for how quickly new content ranks.

The LLMO layer adds a new dimension of compounding return: content optimised for AI citation earns visibility in an increasingly dominant search interface, building brand authority in a channel that most competitors are not yet actively cultivating. The brands that build this foundation now will have a significant and durable advantage over those that wait until LLMO is a mainstream agency offering.