AI Growth & Search
Content architecture, SEO, AI search visibility, and marketing automation connected to measurement you can act on.
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Growth • Websites & Portals
Demand and Growth System
A rebuilt content architecture, technical SEO foundation, and measurement layer that made a firm's expertise discoverable in both search results and AI-generated answers.
- Client
- Specialist B2B services firm
- Industry
- Business services
Note. Portfolio concepts shown here are anonymised and representative of the kinds of intelligent business systems Aqlyst delivers. Client names, screenshots, and measured results are published only with written approval.
Challenge
The situation
Expertise that search could not see
Deep subject knowledge existed inside the firm but was published as isolated posts with no topic structure, so nothing accumulated authority.
Enquiries with no attribution
Leads arrived through a form that emailed a shared inbox, leaving no reliable link between a campaign, a page, and an enquiry.
A slow, heavy site
Unoptimised media and third-party scripts pushed load times to a point where both visitors and crawlers were being lost.
Approach
How we worked
- Topic architecture before publishingWe defined the subjects the firm wanted to be known for and structured services, articles, and case content into clusters that reinforce each other.
- Answer-first content structurePages state the answer plainly and early, then provide supporting detail — the structure both readers and AI assistants can use.
- Static-first rebuildThe site was rebuilt as a static-first application with a strict asset budget and accessibility built into the component layer.
- Measurement wired end to endA consistent event taxonomy and UTM discipline connect channel activity to enquiries, with no personal data sent to analytics.
Solution architecture
How the system fits together
A static-first publishing model with structured content, generated search metadata, and enquiry capture that writes to a system of record.
Content
- Typed content model
- Topic clusters
- Editorial review
Delivery
- Static export
- CDN delivery
- Asset budget
Discovery
- JSON-LD
- Sitemap and robots
- Search Console and Bing
Capture
- Serverless form endpoint
- Dataverse
- Notification
Measurement
- Microsoft Clarity
- Event taxonomy
- Campaign attribution
Delivered
What was built
- Restructured content architectureService, insight, and case content organised into topic clusters with deliberate internal linking.
- Technical SEO foundationCanonical structure, unique metadata, JSON-LD, sitemap and robots generation, and Core Web Vitals work.
- Structured enquiry captureForm submissions written to a system of record with source path and campaign context, replacing the shared inbox.
- Behaviour and conversion reportingMicrosoft Clarity with form masking, plus an event taxonomy that attributes enquiries to pages and channels.
Outcomes
What changed
Figures are published only once the client has approved them. Where a value reads “Illustrative”, the improvement is real but the number has not been cleared for publication.
- Organic visibility for target topics
- Not yet approved for publication
- Enquiry attribution coverage
- Source path and campaign on every submission
- Personal data sent to analytics
- None
Technology stack
- Next.js
- Structured data (JSON-LD)
- Microsoft Clarity
- Power Automate
- Dataverse
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