We can't always show you the work. This is the next best thing.

What the AI research phase would surface

Before any strategy is written, a 48-hour research phase would produce:

• Which search terms in the category show genuine buyer intent versus casual browsing, and which are winnable in a 90-day window
• What the top-performing competitor content looks like at each stage of the buyer journey, and where the gaps are
• What the target audience is searching for before they are ready to buy, not just at the point of purchase decision
• Which paid channels the category depends on, and where organic investment has been systematically underweighted
• The positioning language that is already saturated in the category, and what is not being said

The output is a landscape document and a clear picture of the territory worth competing for.

The strategic recommendation that would emerge

A pre-launch content programme targeting informational queries relevant to the category, structured around the questions buyers ask before they are ready to purchase. Informational content that ranks before launch builds domain authority, generates early traffic, and starts the compounding cycle.

Alongside this: a launch landing page structured to capture email from interested visitors. Not because email is the primary channel, but because 2,000 genuine subscribers at launch changes the economics of launch day entirely. The first cohort is not cold.

Post-launch: a content architecture organised around buyer-stage intent, moving from awareness content through to decision-stage content. SEO foundations in place from day one: clean technical structure, schema markup, internal linking, and a keyword architecture that has room to grow.

The goal by launch: a site Google has indexed and is already ranking in early positions for a selection of relevant terms, with an email list from organic traffic, and a content programme running at sufficient volume to keep compounding.

Delivery shape

What the AI research phase would surface

A 48-hour research phase across the client and their competitive set would produce:

• A complete map of competitor keyword rankings: every term they rank for, estimated traffic volumes, the content type driving each ranking
• A read on the client's existing content: what ranks, what receives traffic without converting, what is close to a ranking position and addressable quickly
• The queries that indicate active buying intent at different stages of the evaluation process, distinguished from informational traffic that will not convert to pipeline
• The content types performing in the category: guides, comparison pages, use-case pages, and integration pages, and which of these the client is underrepresenting
• An initial analysis of the client's conversion pages: are they structured to convert visitors who have arrived via organic search, or designed for people who already know the product?

The strategic recommendation that would emerge

Typically a two-track approach, running in parallel.

Track one: existing content that is close to performing. Pages ranking between positions 5 and 20 for relevant terms are often a quick-win opportunity. Targeted on-page improvement (clearer structure, better alignment between search intent and content, stronger internal linking) can move these pages within 60 to 90 days. This produces early results while the longer programme builds.

Track two: a new content programme targeting the keyword gaps that represent genuine pipeline intent. The distinction that matters here is between traffic intent and evaluation intent. A blog post on a broad topic generates traffic. A comparison page, a use-case page, or an integration page targeting a query that indicates an active software evaluation generates leads. The content architecture should weight toward the latter.

If the research surfaces a messaging problem on conversion pages, that is a separate recommendation: a messaging review of the pages that organic traffic lands on, to address why it does not convert.

Delivery shape

What the AI research phase would surface

A research phase across 10 to 15 comparable firms would produce:

• Verbatim language patterns across the competitive set: the exact claims being made, the tone being adopted, the words that appear repeatedly
• A list of saturated phrases: the things everyone says and that therefore mean nothing as differentiation, which becomes an explicit list of things the client should not say
• Positioning angles, audience segments, or service emphases that are underrepresented or absent across the category
• What prospective clients in this sector are actually searching for, and whether the client's current site is structured to appear in those searches
• A read on the client's own site: what pages receive the most traffic, what visitors are looking for when they arrive, and where they leave

Beyond the competitive picture, this produces a map of the available positioning territory. Most firms assume they are constrained to standard professional services vocabulary because everyone uses it. The research makes visible the space that does not yet have anyone standing in it.

The strategic recommendation that would emerge

A positioning session with the firm's leadership, using the research as evidence. The output of this session is not a brand strategy document. It is a set of specific decisions: this is who we are primarily for, this is what we are genuinely better at than our nearest competitors, this is the language we will use and the language we will not.

From those decisions: a messaging architecture. A structured account of what the firm says about itself, at each level of specificity, across different contexts. This becomes the brief for everything that follows.

Then a website structure that reflects the messaging rather than the standard professional services template: service pages organised around client problems rather than service names, copy that is specific enough to be meaningful, and a tone that reflects how the firm's best partners actually speak rather than how professional services firms conventionally write.

The result is a website that a prospective client can read and immediately sense whether this is the right firm for them. That selectivity is a feature. The wrong clients self-selecting out is as valuable as the right ones leaning in.

Delivery shape