Senior-led, every accountReviews published with real names
5.0
from 60 published client reviews
Senior pod, no juniors
on every account
Brands across the industries we serve
What is AI Content Optimization?
Restructure existing and new content for passage-level citability — the factual, well-sourced, schema-backed passages AI answers lift.
Discipline: AI SEO & Generative Engine Optimization (GEO)
Typical outcome: 4 ai engines optimised & tracked
Engagement: monthly retainer or one-time audit
Seniority: lead strategist on every weekly call
About This Service
How We Deliver AI Content Optimization
AI engines do not quote pages; they quote passages. We rework your highest-intent content into the shape models cite: clear factual statements, cited data, tight question-and-answer structure, FAQ and how-to schema, and the entities that anchor you to the topic. The same work lifts you in classic search and the AI answer box, so every asset earns twice.
No retainers without a measurable outcome attached. Every sprint is anchored to a KPI we agreed on in week one — with weekly Loom updates, a shared dashboard, and a senior strategist on every call.
Senior strategist on every account — no juniors learning on your dime
Weekly Loom updates plus a shared Looker dashboard
Your stack, your CMS, your CMS workflow — we adapt to you
Outcome-tied pricing — KPI ranges baked into the contract
Our Process
How we ship AI Content Optimization
A proven 4-step framework that compresses time to results without cutting corners.
01
AI Visibility Audit
We measure where you stand today across ChatGPT, Perplexity, Gemini and AI Overviews — citation share, crawler access, schema and entity coverage — against your competitors.
02
GEO Roadmap
A prioritised plan: the entities to own, the schema to ship, the passages to make quotable and the crawler fixes that unblock the engines — sequenced by expected citation lift.
03
Optimise & Ship
Content restructured for citability, entities and knowledge-graph signals built, structured data and llms.txt shipped — implemented by the same team, not handed off as a to-do list.
04
Track & Compound
Ongoing citation and mention monitoring across the engines, in a live dashboard, so gains are provable and the next round targets the answers you still do not own.
AI engines lift specific, self-contained passages that clearly answer a question — not rambling, unstructured prose. We optimise content for citability: clear question-and-answer structure, self-contained passages, direct definitions and summaries, and the formatting AI extracts, so your content becomes the source generated answers pull from.
Writing for passage-level citation is the core of getting content into AI answers.
Passage-level, self-contained answer structure
Clear definitions and direct summaries
Question-and-answer content formatting
Content engineered to be extracted
02
Typical shape of an engagement
Months 4–9 is where money keywords move
Authority for AI trust
Build the E-E-A-T AI engines reward
AI answer engines, like search, favour trustworthy, authoritative sources — so citability isn't only structure, it's credibility. We build the E-E-A-T signals AI rewards: demonstrated expertise, authorship, source citations, and the authority that makes an engine confident quoting you over a competitor.
Authority is what turns citable content into content AI actually chooses to cite.
E-E-A-T and expertise signals
Authorship and source-citation practices
Authority that earns AI trust
Credibility AI engines prefer to quote
03
Content velocity
Briefed, drafted, edited, shipped
Structure for machines
Schema and semantics AI can parse
Machines parse structured, semantic content far more reliably than unstructured prose — so structured data and clean semantics improve how AI understands and uses your content. We add the schema, entity clarity and semantic structure that help AI engines parse, trust and cite your pages.
Machine-readable structure is the technical layer that makes content both search- and AI-friendly.
Structured data and schema markup
Entity clarity and semantic structure
Machine-parseable content formatting
Search- and AI-friendly technical layer
How we work
AI Content Optimization — what you are actually buying
Commitments rather than results: how the engagement is staffed, reported and priced. Every one of them is true on the first day, before anything has been measured.
Named senior specialists on every engagement
Reported via live Looker Studio dashboards
Tied to revenue KPIs, not vanity metrics
4
AI engines optimised & tracked
Passage
Level citability, not just page
76
Live entities in our own /kg
Senior
Led — no juniors on your account
FAQs
Questions buyers ask before signing
Quick answers to the things buyers always check first.
How do I get my content cited by AI?
By making it citable — clear, self-contained passages that directly answer questions, strong E-E-A-T and authority signals, and structured data machines can parse. AI engines lift specific passages from trustworthy, well-structured sources, so we optimise content for exactly that.
What is passage-level optimisation?
AI answers lift specific passages, not whole pages, so we structure content into clear, self-contained answer passages — direct definitions, summaries and Q&A formats — that engines can extract and cite. It's writing for extraction, not just reading.
Does E-E-A-T matter for AI visibility?
Yes — AI engines favour trustworthy, authoritative sources, just as search does. We build the expertise, authorship and authority signals that make an engine confident citing you over a competitor.
How is this different from regular SEO content?
It overlaps but adds citability engineering — passage-level structure, direct answers, and machine-parseable formatting optimised for how AI engines extract and cite, on top of ranking well in traditional search.
No account-manager buffer and no juniors learning on your budget — you work directly with the people who do the work.
Founder
Rao Usama
Co-Founder & Product Officer, Head of AI / Data
14+ yrs engineering · AI agents, MCP & automation
Co-Founder and Head of AI & Data. 14+ years in software engineering; leads our AI-agent, MCP-integration and workflow-automation work — turning models into systems that actually run in production.
MSc, Data Science
Nimra Jabbar
Front-End Developer & SEO Specialist
MSc Data Science · front-end · technical SEO
Front-end developer and SEO specialist with a Master’s in Data Science. Builds fast, accessible interfaces and the on-page and technical SEO that make them rank — with experience spanning EdTech, enterprise systems and digital consulting.
MSc, Data Science
Rao Zayn
Head of Content & Brand
Research-led content · technical writing
Head of Content and Brand. A research-led content strategist and technical writer who builds durable authority through genuinely useful writing rather than filler.
Send one question your buyers ask. We will run it across ChatGPT, Perplexity and AI Overviews and send you back who gets cited today — including the case where it is nobody.
What clients say about our AI Content Optimization
Reviews from our Upwork, Fiverr and direct client engagements. Each card shows where the review was left.
5 avg. client review · 60+ engagements
Slide 1 of 8
Their knowledge of SEO is evident, communication is always smooth, and the project was delivered exactly as expected. I wouldn't hesitate to recommend this team to others.
Chris Barnard
Law-firm marketing lead
Slide 2 of 8
A lot of moving parts, kept organized from start to finish. Clear communication, reliable technical direction, and every deadline met without delays.
Daniel Brooks
SaaS growth lead
Slide 3 of 8
Structured, reliable, and clear. They explained the process, responded quickly to questions, and completed everything according to plan.
Evan Parry
Real-estate marketing lead
Slide 4 of 8
They compressed what we expected to be a nine-month sandbox into a couple of months. The authority plan and outreach stack were exactly what a brand-new site needed.
Filip Gavrilovski
iGaming acquisition lead
Slide 5 of 8
Well-researched, well-structured content that aligned perfectly with our goals. Organized, easy to collaborate with, and consistently on time.
Holly Caunt
Content lead
Slide 6 of 8
Our traffic had been flat for a long time. Their strategy was well thought out and we started seeing real momentum soon after implementation.
Jack Evans
Startup founder
Slide 7 of 8
The technical audit uncovered issues we had no idea about. Clear explanations, practical recommendations, and a report that told us exactly what to fix first.
James Williams
Law-firm marketing lead
Slide 8 of 8
Understood the brief after a single call and executed with confidence. Delivered on schedule with excellent communication the entire way through.
Jenny Abouobaia
Agency owner
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