Opportunity Analysis: Find the Growth Your Competitors Haven’t Claimed Yet
Most brands compete for 1–3% of available search demand. This shows you the other 97%.
What is an Opportunity Analysis?
Before writing any strategy, commissioning any audit, or allocating any budget, you need to answer one fundamental question: where, exactly, is the growth? Not in broad terms — not “we should do more SEO” or “our competitors seem to be spending on paid search” — but with precision. Which keyword categories are you missing? Which user journey stages have no content? Which competitors are quietly capturing the demand you’re not showing up for?
An Opportunity Analysis answers all of this. It is a structured, commercial analysis of your organic and paid search landscape — built around your specific category, your competitors, and your business objectives. It is the entry point for every engagement at Laurelin Labs, and the foundation on which every audit, strategy, and content investment is built.
The methodology at the core of this analysis, the RAG framework, was developed working with American Express across more than 20 international markets, refined for Post Office across their full financial services portfolio, and applied to Levi’s across the UK, France and Germany. The output is not a keyword report. It is a commercially grounded map of where you are, where your competitors are, and where the untapped opportunity sits.
Why Most Brands Are Operating Without a Map
For Post Office, the analysis revealed sub-1% market share in credit cards and home insurance
The default state for most digital marketing programmes is reactive. Brands invest in the channels and keywords they already know about — the ones their current agency has always focused on, the ones that appear in last month’s performance report, the ones their competitors are visibly active on. This is not strategy. It is pattern-matching against incomplete information.
The consequence is systematic underinvestment in the largest part of the available opportunity. In most categories, the brands we analyse capture between 1% and 3% of total available search demand. The remaining 97%, tens of thousands of searches per month, is either going to competitors, aggregators, or remains unanswered entirely because no brand has bothered to create relevant content for those queries.
For Levi’s in France, our analysis found that 99.9% of non-brand search demand in their category was uncaptured. For Post Office, it revealed sub-1% market share in credit cards and home insurance, categories they were actively trying to grow, despite strong brand awareness. For American Express, it formed the basis of a tiered strategy targeting 26% year-on-year growth in new account acquisition across 20 markets.
In each case, the opportunity was not hidden. It was simply unmapped.
The RAG Methodology Explained
It was designed to answer a simple question about each search term: does your brand have optimised, visible content for this query, or not?
The RAG framework: Red (poorly optimise dor missing all together), Amber (partially optimised, this is your quick win), Green (fully optimised, may need addtional linking), is a traffic-light classification system for every keyword in your category. It was designed to answer a simple question about each search term: does your brand have optimised, visible content for this query, or not?
Green: Optimised and Visible
A Green classification means you rank well for this keyword and the content is properly optimised. These terms represent your current strengths. They require maintenance and monitoring, but not significant new investment. The strategy for Green terms is to protect and leverage — ensuring they remain strong while using their authority to support neighbouring Amber and Red terms.
Green: Optimised and Visible
A Green classification means you rank well for this keyword and the content is properly optimised. These terms represent your current strengths. They require maintenance and monitoring, but not significant new investment. The strategy for Green terms is to protect and leverage — ensuring they remain strong while using their authority to support neighbouring Amber and Red terms.
Amber: Partially Optimised
Amber means you have some visibility for this term — a page that ranks on page 2 or 3, or a page that ranks on page 1 for a related term but not this specific query. There is existing content to work with, but it is not optimised to its potential. Amber terms are frequently the fastest wins available: they require iteration and optimisation rather than creation from scratch, and the uplift from moving them from Amber to Green can be significant.
Red: Content Gap
Red means there is no relevant, optimised content for this search query. It is a content gap — a keyword category where the demand exists, your competitors may be present, and you are entirely absent. Red terms represent the largest opportunity and the longest lead time. They require new content creation, often supported by technical and authority-building investment, before they will generate meaningful traffic.
The RAG analysis maps every keyword in your universe — typically several hundred to several thousand terms, depending on category size — to one of these three statuses. The result is a visual representation of your current content coverage against the total available demand, showing at a glance where you are strong, where you are underperforming, and where the gaps are largest.
User Journey Segmentation
To make the opportunity analysis commercially useful, every keyword must be mapped to the stage of the purchase journey at which it appears.
Keyword data alone is not enough. To make the opportunity analysis commercially useful, every keyword must be mapped to the stage of the purchase journey at which it appears. A user searching “what is a balance transfer credit card” is at a very different stage from one searching “best balance transfer credit card UK” or “apply for American Express credit card.” Each requires different content, different page types, and different commercial objectives.
We segment keywords across three primary journey stages, drawing on the framework developed for global clients across financial services, fashion and retail:
Awareness: broad informational queries where the user is researching a category or problem, not yet thinking about specific brands or products. Organic search plays a dominant role at this stage, and it is where most brands have their largest content gaps. For Post Office, the analysis revealed that organic search drove the majority of consumer interactions at the Awareness stage — but Post Office had almost no content targeting these queries.
Consideration: comparative and evaluative queries where the user is narrowing down options. This is where content quality and authority have the most commercial impact, and where competitor content benchmarking becomes critical. Users at this stage are reading comparison articles, checking review sites, and returning to brand pages multiple times before deciding.
Convert: high-intent queries where the user is ready to act. These terms typically have the smallest volume but the highest commercial value. They are the queries most brands optimise for, which is exactly why they are also the most competitive. The analysis quantifies the traffic and revenue available at this stage, but also shows why a strategy built exclusively around Convert terms is inherently limited.
For American Express, mapping the keyword universe to user journey stages revealed that the existing strategy was capturing only 1% of total search demand — entirely concentrated in the Convert stage, with almost no presence at Awareness or Consideration. Expanding the strategy to cover all three stages became the basis of the 26% growth target.
The Tiered Opportunity Model
The tiered opportunity model prioritises the gaps identified in the RAG analysis
Not all opportunities are equal. Some keyword categories offer large volumes of traffic but limited commercial conversion. Others offer smaller volumes but direct, high-intent paths to your most valuable products. The tiered opportunity model prioritises the gaps identified in the RAG analysis based on three dimensions: the size of the opportunity (search volume and estimated traffic), the commercial value of the traffic (conversion rate potential and average order or lead value), and the accessibility of the opportunity (competitive difficulty and the investment required to close the gap).
The output is a tiered priority framework, typically three tiers, that tells you where to invest first, where to invest next, and where to build a longer-term position. For American Express, Tier 1 markets received 70% of the available resource and were forecast to deliver 74% of total growth. Tier 2 markets received 20%, and Tier 3 markets, high effort, low expected return — received the remainder as maintenance investment only.
What You Receive
The Opportunity Analysis is delivered as a branded executive summary document with board-ready visuals, accompanied by the underlying data in a structured format your team can use for ongoing tracking and briefing. The core deliverables are:
Full RAG keyword map with every term in your category classified and colour-coded
User journey segmentation showing keyword distribution across Awareness, Consideration and Convert stages
Share of voice analysis benchmarking your domain against 3–5 named competitors
Market share calculation: your current percentage of total available search demand
Tiered opportunity model with estimated traffic and revenue uplift by tier
Executive summary narrative connecting the data to commercial implications and recommended next steps
Frequently Asked Questions
What data sources do you use?
We use Screaming Frog for site crawl data, SEMrush or Ahrefs for keyword and competitor visibility data, DataForSEO for search volume and CPC intelligence, and Google Search Console where access is available. The RAG methodology cross-references ranking position, search volume and content quality to produce the final status for each keyword.
How many competitors do you benchmark against?
We typically benchmark against 3–5 named competitors per analysis, chosen in collaboration with you. We also include any aggregators or comparison sites that dominate your category SERPs, as these are often the real share-of-voice threat rather than direct brand competitors.
How long does the analysis take to deliver?
Typically 10–15 working days from briefing and data access to final delivery, depending on the size of your keyword universe and the number of competitors included. We agree the scope and timeline before starting.
Do I need an existing SEO programme in place?
No. The Opportunity Analysis works for brands at any stage, whether you have never invested in SEO, are reviewing an existing agency’s work, or are planning a new market entry. It gives you a clear picture of where you are before deciding where to go.
Is the analysis a one-off or part of an ongoing service?
It is a standalone deliverable, but we recommend refreshing it annually or whenever there is a significant change in your competitive landscape. Many clients use it as a quarterly share-of-voice check to track progress against the opportunity map over time.
What happens after the analysis?
The analysis is designed to feed directly into the next stage of work — typically a Technical SEO + LLMO Audit, an SEO + LLMO Strategy, or both. The opportunity map becomes the commercial brief that every subsequent engagement is built around. Many clients find that the analysis alone gives their internal team or existing agency a clearer brief than they have ever had before.
The Bottom Line
The Opportunity Analysis is not a nice-to-have. It is the starting point for every serious digital growth programme. Without it, strategy is built on assumptions. With it, every decision — what to audit, what to build, where to invest, what to stop — is grounded in data and oriented toward a quantified commercial outcome.
If you are spending money on SEO, PPC or content without knowing your current share of available demand, you are investing blind. The Opportunity Analysis changes that. It tells you exactly where you are, exactly where the growth is, and exactly what it would take to claim it.
