What Corpus does.

Corpus helps organisations understand and optimise the signals that shape behaviour before and during a visit. We work across upstream ecosystems, on site experience, content and experimentation so that decisions are grounded in a shared view of how humans and AI encounter you.

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We help organisations adapt to zero click and AI search by optimising upstream signals that drive performance before, during, and after a visit.

The main areas we work in.

You can think of our work in four overlapping areas.

01_

Upstream ecosystem mapping.

How humans and AI encounter your organisation across search results, zero click experiences, AI summaries, marketplaces and other off site surfaces.

Upstream ecosystem →

02_

On site experience and research.

What happens when people do arrive, and how well journeys, interactions and accessibility match the expectations set upstream.

On site experience →

03_

Content & structure.

How your information architecture, language and signalling support or undermine trust, clarity and task completion.

Content and structure →

04_

Experimentation & learning.

How you use tests, measurement and feedback to learn from change, not just ship more of it.

Experimentation and learning →

The value comes from joining these together, not treating them as separate services.

01 Upstream ecosystem mapping.

We start by examining the forces that shape perception and decision making around your products or services, long before anyone reaches your website.

What we look at

Search results for key tasks, across devices and markets
Zero click results and AI summaries for priority queries
Marketplaces, comparison sites and review platforms
Third party content, help articles and documentation
Policies, claims and reputational signals that influence trust

Questions we’ll help you answer

What do humans and AI currently see and assume before they visit us
Where are we earning trust, where are we weakening it and where is it quietly undermined
Which upstream signals support our goals and which ones send people elsewhere
Where are we expecting the website to fix problems that start earlier in the journey

Typical outputs

Maps of upstream surfaces by task, audience and intent
Prioritised upstream issues and opportunities
Clear problem statements that connect upstream conditions to on site performance

02 On site experience and research.

Once we understand upstream reality, we look at what happens when people do reach you, and how well the experience matches what they have been led to expect.

What we look at

Key journeys for priority tasks and segments
Usability, interaction patterns and blockers to completion
Accessibility and inclusion, in context rather than as a checklist
Existing research and analytics, across tools and teams

Questions we’ll help you answer

Where does the experience support or contradict the expectations set upstream
Which issues are genuinely interface level and which are symptoms of deeper problems
What are the most important questions that new research should answer, if any

Typical outputs

Prioritised journey and experience issues, framed in context
Synthesised findings from existing research and data
Clear recommendations on where to deepen understanding

03 Content and structure.

We help teams create clearer, more consistent meaning across systems so that both humans and AI can interpret you reliably.

What we look at

Information architecture and the way content is organised
Language, terminology and claims across channels
Signals of expertise, trust and safety
Alignment between what is communicated externally and what is actually true

Questions we’ll help you answer

Does our structure and language make it easy to see what we really offer
Where are we sending mixed messages or contradicting ourselves
How are content and structure helping or hindering AI systems that summarise us

Typical outputs

Revised information architecture and content structures
Guidelines for key messages, claims and supporting evidence
Recommendations to strengthen signals of expertise and trust across channels

04 Experimentation and learning.

Clarity is only useful if it leads to better decisions and more reliable performance. We help teams use experiments and measurement to support that.

What we look at

Existing experimentation practices and decision making rhythms
How tests are chosen, interpreted and acted on
How upstream and on site insights are or are not connected

Questions we’ll help you answer

Are we testing the right things, given what we now know about upstream and on site behaviour
How do we avoid cosmetic optimisation and focus on changes that matter
How do we make results easier to explain, defend and build on

Typical outputs

Experiment backlogs tied to upstream and on site insights
Clear hypotheses that connect changes to specific behaviours and metrics
Recommendations on how to use existing tools and data more effectively

How Corpus works across these areas.

We do not treat upstream mapping, experience, content and experimentation as separate tracks. In practice they inform one another.

Our role is to:

Join up upstream signals and on site journeys into clear, concrete changes
Use existing data and research before asking for new work
Work with your teams and partners rather than in a separate track
Keep recommendations tied to constraints, priorities and performance

What you get from working with Corpus.

When you work with Corpus you should expect to leave with:

A shared model of how humans and AI encounter your organisation before and during a visit
Evidence based problem statements that move beyond “the interface is not working”
Prioritised recommendations across upstream signals, on site experience and content
A practical starting backlog for experiments and changes linked to performance measures

Talk about what this would look like for you.

If this way of working sounds useful but you are not sure where you would start, a conversation can help. We will focus on your current situation, constraints and goals, and be honest if we do not think Corpus is the right fit.

Start a conversation

Typical first conversations last 45 to 60 minutes and focus on understanding your current situation and constraints.

Upstream optimisation for zero click and AI search.

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Contact

[email protected]

Typical first conversations last 45 to 60 minutes and focus on your current situation, constraints and goals

We Are Corpus is a consultancy created by Abi Hough and delivered through uu3 Ltd. Registered in the UK. Company 6272638