Technical SEO
Crawlability, metadata, canonical structure, structured data, internal linking, sitemaps, and Core Web Vitals health.
AI growth and search
Get found, and be worth finding.
Search now includes AI assistants that summarise rather than list. We build the content architecture, technical foundations, automation, and measurement that make your expertise discoverable in both traditional search results and AI-generated answers.
The problem
What usually brings people here
If more than one of these is familiar, they are probably connected. We look for the underlying cause before proposing a build.
- Invisible in AI answersAI assistants summarise a topic and cite competitors, because your expertise is not stated clearly enough in crawlable text.
- Content without structureArticles are published one at a time with no topic architecture, so nothing accumulates authority around a subject.
- Leads with no attributionEnquiries arrive but nobody can say which channel, campaign, or page produced them, so budget decisions are guesswork.
- Automation that annoysGeneric sequences fire at everyone regardless of interest or stage, damaging the brand they were meant to build.
Capabilities
What we build
AI search optimisation
Answer-first content structure, clear factual statements, consistent entity information, and accurate FAQs where users genuinely ask them.
Content architecture
Topic clusters, service relationships, and a publishing model that builds depth on the subjects you want to be known for.
Marketing automation
Segmented, relevant follow-up connected to your CRM or Dataverse, with consent and preference handling treated properly.
Campaign measurement
Event taxonomy, UTM discipline, and reporting that connects channel activity to qualified enquiries.
AI-assisted content workflows
Research, drafting, and repurposing support with mandatory human review, factual verification, and named authorship.
Delivery approach
How the work runs
A repeatable path from an unclear problem to a system someone owns. The lifecycle decisions happen early, where they are cheap.
Discover
Establish the audience, the topics worth owning, current visibility, competing coverage, and the measurement gaps.
Design
Define the content architecture, technical fixes, event taxonomy, and automation logic before anything is published.
Build
Implement the technical foundations, publish structured expert content, and wire measurement end to end.
Evolve
Review search and AI visibility, engagement, and enquiry quality, then reinvest in the topics that are working.
Technology ecosystem
Product names are used descriptively. The right combination is decided during design, not assumed at the start.
- Microsoft Clarity
- Google Search Console
- Bing Webmaster Tools
- Dataverse
- Power Automate
- Structured data (JSON-LD)
Outcomes
What changes afterwards
Visibility in AI-generated answers
Clear, factual, well-structured content gives assistants something accurate to summarise and attribute.
Compounding organic reach
Topic clusters build authority over time instead of producing isolated posts that peak and fade.
Attribution you can act on
A consistent event taxonomy connects enquiries back to the pages and channels that produced them.
Follow-up that respects the reader
Segmented, consent-aware communication that supports the brand rather than eroding it.
Related work
Growth • Websites & Portals
Demand and Growth System
Specialist B2B services firm
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.
View case study
Websites & Portals • Power Platform
Secure Partner Portal
Membership and partner organisation
An authenticated self-service portal where partners submit and track requests directly against the system of record, removing a manual re-keying step from every submission.
View case study
Related insights
Growth
What AI search changes about your website
Assistants summarise and cite rather than list ten links. That shifts what a website has to do — and most of the required changes are things good sites should already do.
Ahmed Salih5 min read
Questions
Frequently asked
It overlaps heavily but shifts the emphasis. Traditional SEO optimises for a ranked list of links; AI assistants generate a synthesised answer and cite a few sources. That rewards content that states facts plainly, answers the question early, keeps company information consistent across the web, and uses structured data to remove ambiguity. The technical foundations — crawlability, speed, clean markup — matter for both.
We use AI for research, outlining, and repurposing, and every published piece goes through human review for accuracy, originality, and voice, with a named author. Publishing unverified generated text is a fast way to damage credibility with both readers and search systems, so factual claims are checked against a source before they ship.
Technical fixes — crawlability, metadata, structured data, speed — can show effects within weeks. Content authority is slower and generally measured over a few quarters, because it depends on publishing consistently around a topic. We recommend agreeing leading indicators such as impressions, coverage of target topics, and engagement quality, so progress is visible before enquiry volume moves.
Access to subject-matter expertise and a decision on which topics you want to be known for. The technical and structural work is ours, but the credibility comes from your experience — the strongest content is usually a specific point of view an expert already holds, captured properly, rather than a general overview anyone could write.
Let's talk
Let's talk about AI Growth & Search.
Bring the problem rather than a specification. A short conversation is usually enough for us to tell you what we would do first — and whether we are the right people to do it.
Prefer email? info@aqlyst.ai