Testing your industry
Ideal for new clients exploring what SEO can do for their sector. Lower commitment, faster decision.
Most websites don't need new content for AI visibility — they need their existing content restructured so AI assistants can confidently extract, summarise, and cite it.
Walk through the typical brand website with an AI extraction lens, and you'll find the same problems on almost every page: claims buried in long paragraphs without supporting structure, key facts implied rather than stated, no schema to mark up the entities mentioned, FAQ sections written as marketing copy instead of question-answer pairs, definitions wrapped in storytelling, and statistics without source citations. All of which makes the content great for human readers — and almost invisible to AI assistants trying to decide whether to cite you.
AI Content Optimisation is the surgical work of restructuring existing content so it survives the extraction pipeline. The page reads the same to a human; it reads dramatically differently to a model. Headings become semantic anchors. Claims gain explicit subjects and citations. Tables replace prose where data structure helps. FAQ sections shift to clear question/answer schema. Original data and opinions are flagged in formats LLMs can lift cleanly. The result: the same content, optimised to be the source AI tools choose.
This service is the fastest path to AI visibility for most established brands — because you skip the months of new content creation and instead extract value from the writing you already paid for. For an established blog of 50–200 articles, optimisation can drive measurable AI citation increases within weeks.
Identical pricing across every service. No tiered upsells, no hidden fees, no surprise contract terms.
$499 USD / month
Our $499/month plans cover 15 to 20 hours of dedicated work per month.
To ensure measurable results and protect your investment, we require a minimum commitment period. There is no month-to-month option.
Ideal for new clients exploring what SEO can do for their sector. Lower commitment, faster decision.
Recommended for established businesses targeting competitive keywords with a clear growth target.
Full campaign lifecycle, locked-in monthly rate, deepest results. Recommended for long-term partners.
We onboard a maximum of 5 clients per service category at a time.
We limit to 5 per service to protect result quality. Available slots open as engagements complete or graduate to in-house.
| Slot | Industry / Niche | Service | Status | Start Date |
|---|---|---|---|---|
| 1 | Vertical Institute (Education, Singapore) | Active retainer | Active | April 2022 |
| 2 | Open | Available | Available | Apply Now |
| 3 | Open | Available | Available | Apply Now |
| 4 | Open | Available | Available | Apply Now |
| 5 | Open | Available | Available | Apply Now |
We do not accept two clients from the same industry for the same service. This protects your competitive advantage.
Yes — that's the whole point. AI optimisation done well makes content clearer, more scannable, and easier to navigate for human readers too. The structural changes (clear claims, semantic headings, definition blocks, source citations) are the same things that make any content easier to read. Done badly, AI optimisation produces robotic text — but that's a craft problem, not a discipline problem.
Traditional content optimisation focuses on Google rankings — keyword density, internal linking, on-page SEO. AI Content Optimisation focuses on extractability — making sure AI assistants can lift specific facts, claims, and recommendations cleanly into their responses. There's overlap (both reward depth and structure) but the priorities differ.
No, and you shouldn't try. The 80/20 rule applies hard here: optimise the 10–20 pages that drive most of your topic authority and target queries first, then expand. Pages with no potential for AI citation (e.g., pure product detail pages, careers pages) don't need this work.
Schema-based changes can affect AI extraction within days as models recrawl. Structural rewrites typically show citation gains within 2–6 weeks in tools like Profound or Otterly. Wikipedia/entity-level changes have a longer tail (2–4 months). The compounding happens once you're a "trusted source" — citations beget more citations.
Both, but long-form benefits more. A 300-word product description has limited optimisation surface; a 2,500-word guide has dozens of opportunities. For ecommerce, optimising category pages and buyer's guides is usually higher-ROI than optimising individual product pages.
Usually yes — incidentally. The structural improvements (clearer claims, schema, semantic headings, FAQ markup) align with what Google's ranking systems also reward. Many clients see traditional SEO lift as a side effect of AI optimisation work.
All services start at $499 USD per month with a one-time $20 admin fee that is fully deductible from the first month invoice. The $20 admin fee is non-refundable. Minimum commitment is 3 months; 6-month and 12-month plans are available. We onboard a maximum of 5 clients per service category at a time. See the Hire Me page for full details.
Yes, and ironically that's often the most-needed case. AI-written content is usually verbose, structurally weak, and citation-poor — the exact opposite of what AI assistants want to extract. Optimising AI-written content for AI extraction is a real workflow.