SEO · AI Search · Engineering
Be found on Google.
Be cited by AI.
Your buyers now research in two places: the search results and the AI answer. We make sure they find you in both, then build the website and automation that turn that attention into pipeline.
- Free discovery call
- Written scope & price
- You own every asset
Visible on
Why It Matters Now
Search now happens in two places.
Your buyers still search Google, and more of them now ask an AI assistant for a shortlist before they visit a single website. If you're missing from either, a competitor fills the gap.
Most brands optimise for one surface. We engineer for both, from the same technical foundation.
What We Do
Six practices.
Or a custom mix.
Hire one practice, combine several, or let us scope something custom. One accountable team either way.
Rank for the searches that buy
Search Engine Optimisation
Technical, on-page and content SEO that turns Google and Bing into a dependable source of qualified pipeline, not just traffic.
What's included
- Technical audit covering crawling, indexing, Core Web Vitals and canonicals
- Keyword and search-intent map tied to your revenue pages
- On-page optimisation and internal-linking architecture
- Content briefs and an editorial calendar your team can run
- Local SEO and Google Business Profile, where location matters
- Digital PR and authority building on relevant publications
How we measure success
- Non-brand organic clicks
- Rankings for commercial keywords
- Leads sourced from organic search
Ideal for
Businesses whose buyers search before they ever speak to sales.
Typical timeline
Technical fixes land in the first weeks; content and authority typically compound over three to six months.
Platforms we use
- Google Search Console
- Google Analytics
- Semrush
- Lighthouse
- Yoast
Be the answer AI gives
AI Search Optimisation (GEO)
Generative and answer engine optimisation that gets your brand understood, accurately described and cited by ChatGPT, Perplexity, Gemini, Claude and Google's AI Overviews.
What's included
- AI visibility baseline: how assistants describe you and your competitors today
- Entity and structured-data layer (a connected JSON-LD schema graph)
- llms.txt and machine-readable content maps for AI crawlers
- Answer-ready content: definitions, comparisons and FAQs written to be quoted
- Citation building on the third-party sources AI models rely on
- Monthly AI share-of-voice tracking across the major assistants
How we measure success
- Share of AI answers that mention you
- Citations and the sources behind them
- Accuracy of how AI describes you
Ideal for
Considered-purchase brands whose buyers now ask AI for shortlists and comparisons.
Typical timeline
The technical layer ships in two to three weeks; citations build steadily over the months that follow.
Platforms we use
- ChatGPT
- Perplexity
- Google Gemini
- Claude
- Microsoft Bing
Fast sites that convert
Web & App Development
Websites, web apps and mobile apps engineered for speed, search and conversion from the first commit, then handed over in a state your team can actually run.
What's included
- UX and UI design, prototyped in Figma before a line of code
- Next.js and React websites, including headless CMS builds
- WordPress, Shopify and Webflow builds, rebuilds and fixes
- Web apps, client portals and internal dashboards
- Cross-platform mobile apps built with Flutter
- SEO-safe migrations with full redirect mapping
How we measure success
- Core Web Vitals
- Conversion rate
- Time for your team to publish a change
Ideal for
Teams outgrowing a slow, hard-to-edit site, or launching a new product.
Typical timeline
Marketing sites in roughly four to eight weeks; apps are scoped and delivered in sprints.
Platforms we use
- Figma
- Next.js
- React
- TypeScript
- WordPress
- Shopify
- Webflow
- Flutter
Put AI to work, safely
AI Agents & Automation
Custom AI assistants, knowledge-base chatbots and workflow automation that remove repetitive work, built with guardrails and tested before they ever touch a customer.
What's included
- Automation opportunity audit across sales, support and operations
- AI assistants grounded in your own documents and data (RAG)
- Agentic workflows that act across your CRM, inbox and documents
- Lead qualification and support-ticket triage
- Integrations through HubSpot, Zapier, Make and n8n
- Evaluation, guardrails and human-in-the-loop review
How we measure success
- Hours saved per week
- First-response time
- Share of requests resolved without hand-off
Ideal for
Sales, support and operations teams buried in repetitive, rules-based work.
Typical timeline
A working pilot in three to six weeks; production rollout once it passes evaluation.
Platforms we use
- OpenAI
- Anthropic
- LangChain
- n8n
- Zapier
- Make
- HubSpot
Foundations that scale
Cloud, Data & Security
Cloud infrastructure, analytics and security hardening, so your systems keep pace with growth instead of quietly holding it back.
What's included
- Cloud setup and migration on AWS, Google Cloud or Vercel
- CI/CD pipelines, containerisation and uptime monitoring
- Analytics tracking plans (GA4, Tag Manager) and BI dashboards
- Data pipelines and automated reporting
- Security review, hardening and access controls
- Performance and cloud-cost optimisation
How we measure success
- Uptime and page performance
- Monthly cloud spend
- Time from question to answer in your data
Ideal for
Growing teams whose data lives in spreadsheets and whose infrastructure grew by accident.
Typical timeline
Assessments in one to two weeks; implementation is scoped per project.
Platforms we use
- Amazon Web Services
- Google Cloud
- Vercel
- Cloudflare
- Docker
- PostgreSQL
- Looker
Build the capability in-house
Team Training & Upskilling
Cohort training for your people in Agentic AI, Data Science, Data Analytics, Cloud, Cybersecurity and Project Management, drawn from the curricula behind Techversity's certifications.
What's included
- Skills-gap assessment across the team
- Cohort programmes built on our certification curricula
- Workshops adapted to your own tools and data
- Capstone projects on real business problems
- Progress reporting for managers
- A certification pathway for participants
How we measure success
- Completion rate
- Skills assessed before and after
- Projects shipped by participants
Ideal for
Companies that want to own their AI and data capability rather than rent it indefinitely.
Typical timeline
Cohorts typically run eight to twelve weeks, scheduled around working hours.
Platforms we use
- Python
- LangChain
- Amazon Web Services
- Tableau
Built around your problem
Custom Solutions
When your goal spans several practices, or fits none of them neatly, we scope a custom engagement: one team lead, one plan, and the right mix of search, engineering and AI.
What's included
- Discovery workshop to define the problem and what success looks like
- A custom mix of our practices, scoped to your goals and budget
- One team lead and a single point of contact
- Fixed-scope or flexible engagement, whichever suits the work
- Work alongside your in-house team, tools and processes
- Regular reviews to re-prioritise as results come in
How we measure success
- Agreed with you before work starts
- Reviewed at every milestone
- Tied to business outcomes, not activity
Ideal for
Launches and transformations that need a site, search, data and automation working together.
Typical timeline
Scoped after the discovery workshop, usually within a week of it.
Platforms we use
- Figma
- Next.js
- OpenAI
- HubSpot
- Google Analytics
- Amazon Web Services
AI Search Optimisation
How we get AI assistants to recommend you.
Language models recommend what they can read, understand and verify. We build each of those conditions in order, layer by layer, and then measure the result instead of guessing.
- 01
Crawlable
AI crawlers can reach and read every page that matters: clean robots rules, complete sitemaps and fast, server-rendered HTML.
- 02
Understood
Your organisation, services and people are defined as entities in structured data, so a model knows exactly who you are and what you do.
- 03
Trusted
The same facts appear on your site, profiles, directories and press: the sources models cross-check before they recommend anyone.
- 04
Quotable
Content shaped like answers: direct definitions, honest comparisons, FAQs and original data that an assistant can cite word for word.
- 05
Measured
We track how often, and how accurately, assistants mention you, prompt by prompt and month by month.
The proof is public
We run this playbook on our own sites. Inspect them before you hire us.
# Techversity for Business> Techversity for Business…Key facts to represent accurately:- Techversity for Business serves organisations…- No one can guarantee search rankings or AI…- Every engagement begins with a free discovery…- Clients own the code, content, designs, analytics…
- A connected JSON-LD graph across techversity.ai and this site: organisation, services, courses, articles and FAQs
- /llms.txt and /llms-full.txt generated from the same data the pages render, so they never drift
- One canonical URL per page, and a sitemap whose dates change only when the content does
- FAQ answers marked up as structured data and mirrored in plain text for AI assistants
Why Techversity
An educator's rigour, applied to your growth.
We came to client work from the classroom side: designing curricula in the same disciplines we now deliver. That shows up in how we plan, explain and hand over.
Who we work with
How We Work
From first call to compounding results.
Every engagement follows the same five steps, so you always know what happens next.
- 01
Discovery call
A free conversation about your goals, market and constraints. If we aren't the right fit, we'll tell you so.
- 02
Audit & baseline
We measure where you stand today: rankings, AI visibility, site performance, tracking and technical debt.
- 03
Roadmap
A prioritised plan ranked by impact and effort, with owners, timelines and the metrics we agree to be judged on.
- 04
Build & optimise
Work ships in short sprints. You see progress every week, not in a reveal at the end.
- 05
Measure & compound
Monthly reporting in plain English, tied to leads and revenue. Then we double down on what's working.
Platforms & Tools
We work in the stack you already use.
No proprietary lock-in. We pick mainstream, well-supported platforms your next hire will already know.
Search & analytics
AI answer engines
Design & build
AI & automation
Cloud & data
Product names and logos are trademarks of their respective owners, shown to describe the platforms we work with. Their use does not imply partnership or endorsement.
Ways to Work Together
Start small.
Scale on evidence.
Every engagement begins with a free discovery call and ends with a written scope and price. No retainers sold on promises.
Questions, Answered
What buyers ask before they hire us.
Straight answers on results, ownership and pricing. Anything else, ask us directly. The first call is free.
Ask your own question →Start the Conversation
Tell us what you want to be found for.
Share a little about your business and goals. You'll hear back within 24 hours.
- 1
We read your enquiry properly
We look at your site and market before we call, so the first conversation is already useful.
- 2
A free discovery call
We talk goals, constraints and timing. If we aren't the right fit, we'll say so.
- 3
A written scope and price
You get a clear proposal with deliverables, milestones and the metrics we'll be measured on.
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