TelaLoom
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Websites, Search Visibility, and Automation Software

We build websites, get them found on Google and by AI assistants, and build software that replaces manual work. Every engagement produces something running, not a slide deck. Pick the one that matches where you are — or tell us your problem and we’ll recommend the right fit.

Website builds → SEO & GEO optimization → Local SEO & GEO → AI product builds → Automation retrofits → AI infrastructure →

1. Website builds for local businesses

The starting point for everything else — you can’t be found if you don’t have anywhere to be found at. We build local businesses a real website: custom-designed, written around the business, with Local SEO & GEO included from day one.

Landing pages from $1,294 AUD$900 USD, Starter sites (up to 5 pages) $3,018 AUD$2,100 USD, and $7,114 AUD$4,950 USD for a custom build with Local SEO & GEO bundled in. Full details and pricing →

2. SEO & GEO optimization

Search didn’t stop at Google. A growing share of Google searches now get answered by an AI Overview before any blue link shows, and ChatGPT, Claude, and Perplexity answer questions that used to send a click to your site — most sites aren’t structured to be the source any of them quote. We audit and fix both: classic technical SEO and the newer generative-engine layer, shipped directly into your codebase, not as a PDF report.

Typical engagement: 1–3 weeks. Week one is a full audit; week two is implementation; a third week verifies re-indexation and AI-crawler access where needed. Free audit, Setup $3,880 AUD$2,700 USD, or an optional month-to-month plan from $432 AUD/mo$300 USD/mo — not the $5k–$15k-plus retainer agencies typically quote for the same audit-and-fix scope. Full details and pricing →

  • SEO side: meta tags, canonicals, OG images, sitemap/robots.txt correctness, page speed, Organization/Product/FAQPage/BreadcrumbList schema.
  • GEO side: llms.txt, AI-crawler-aware robots.txt rules, FAQPage schema written for direct-answer extraction, content structured to be quoted accurately.

3. Local SEO & GEO for service businesses

The same work, aimed at businesses whose customers are local — tradies, clinics, home services. When someone Googles “blinds near me” or asks ChatGPT who to call on the Gold Coast, we make sure the answer is you: Google Business Profile, reviews, local schema, and pages for the suburbs you actually service.

Free audit. One-off setup $3,880 AUD$2,700 USD, or an optional month-to-month plan from $432 AUD/mo$300 USD/mo — cancel anytime, and we’ll tell you when you don’t need it. Full details and pricing →

4. AI product builds

You have an idea — or a problem worth productising — and you want it shipped, not architected. We pick it up at concept and hand it back as a paying product: backend, frontend, mobile if it needs one, billing, observability, and the LLM glue that makes it real.

Typical engagement: 6–12 weeks from kickoff to a customer paying. We start with a single, deliberately narrow first slice and ship it in week two. Each subsequent week adds one feature that earns its keep.

  • What you get: a live product, source code, deployed infrastructure, and runbooks.
  • What we own: design, engineering, AI prompt and eval work, deployment.
  • What you own: product strategy, customer conversations, the brand voice.

5. Automation retrofits

You already have a SaaS or internal tool. Somewhere in the workflow is a person doing repetitive language work — triaging, drafting, summarising, classifying, extracting. That’s where AI earns its rent. We bolt it in without rewriting the world.

Typical engagement: 2–6 weeks. We map the workflow, identify the highest-ROI insertion point, build the AI feature behind a feature flag, run an eval against your real data, and roll it out gradually.

  • Common retrofits: support deflection, lead enrichment, contract clause extraction, content classification, smart drafts.
  • How we measure: success rate against your historical data, time saved per ticket/lead/case, model cost per successful action.

6. AI infrastructure

The reason most AI features collapse isn’t the model — it’s the plumbing. We build the unsexy layer that decides whether your AI feature still works at 3am: LLM gateways, prompt versioning, evals, queue workers, billing meters, observability, and structured fallbacks.

Typical engagement: 3–8 weeks, often delivered as a building block your team owns afterwards.

  • LLM gateway: route across providers, fail over, cap spend, log everything.
  • Evals & prompt CI: regressions caught before they hit users.
  • Billing & metering: usage-based pricing wired to Stripe without invoking finance.
  • Observability: traces, tokens, latencies, costs — per feature, per tenant, per model.

How we work

Async-first. Daily written updates, weekly demo, one live call a week if you want it. We commit to specific outcomes per sprint and we tell you when something isn’t working before you have to ask.

We pick a small number of client engagements each quarter so the work we take on actually gets the attention it deserves. If we’re a fit, the first sprint usually starts within a week of first contact.