Your customers are asking AI before they ask Google.

If your prospect asks ChatGPT "what's the best [your product category] for [their use case]?" — and your brand isn't in the answer — you've already lost the deal, even though your Google rankings might look healthy. AI search is shifting traffic away from traditional SERPs faster than most brands realise. Perplexity does 100M+ queries per week. ChatGPT search is now mainstream. Microsoft Copilot ships in every Office license. Google's own AI Overviews are pushing organic blue links further down the page on a third of queries.

AI SEO is the discipline of making sure your brand is the answer when these tools generate responses. The good news: there's significant overlap with traditional SEO. The bad news: the optimisation surface is different enough that most generalist consultants are getting it wrong. AI assistants reward depth, structure, citation hygiene, schema, original data, and authority — but in different proportions and with different signals than Google's classic ranking systems.

This is also where being early matters. Most brands haven't started yet. The window to establish AI visibility before competitors flood the channel is open right now, and won't be open forever. Clients I've worked with are already getting cited by ChatGPT and Perplexity for high-intent buying queries — and those citations compound, because once you're a trusted source for a model, you tend to keep being cited.

What's included

The AI SEO program.

  • AI visibility audit — current presence in ChatGPT, Perplexity, Gemini, Copilot, Claude across your priority queries
  • Citation tracking using Profound, Otterly, Peec AI, and custom prompt-based monitoring
  • Content restructuring for AI extractability — clear claims, citations, structured data, definition-rich language
  • Schema markup tuned for AI parsing (Organization, Person, FAQ, HowTo, Article, Product, Service)
  • llms.txt setup if appropriate, plus AI crawler directives in robots.txt (GPTBot, ClaudeBot, PerplexityBot, etc.)
  • Authority building through citation-worthy content: original research, data, opinion pieces, and definitive guides
  • Wikipedia & Wikidata entity strategy where relevant — major training-data sources for LLMs
  • Reddit, Quora & forum brand presence (LLMs heavily weight community discussion as ground truth)
  • Cross-linked GEO + AEO + LLM SEO — see GEO, AEO, LLM SEO
  • Quarterly model behaviour reviews as ChatGPT, Gemini, etc. update their retrieval and ranking
Pricing & Terms

Services start at $499 USD per month.

Identical pricing across every service. No tiered upsells, no hidden fees, no surprise contract terms.

Starting price

$499 USD / month

Our $499/month plans cover 15 to 20 hours of dedicated work per month.

Choose your commitment.

To ensure measurable results and protect your investment, we require a minimum commitment period. There is no month-to-month option.

3-Month Plan

Testing your industry

Ideal for new clients exploring what SEO can do for their sector. Lower commitment, faster decision.

12-Month Plan

Best value, maximum ROI

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.

Capacity

Currently Active Clients

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.

FAQ

Common AI SEO questions.

Is AI SEO actually different from regular SEO, or just a buzzword?

It's different enough to matter, though there's heavy overlap. Traditional SEO optimises for ranked lists of links; AI SEO optimises for synthesised answers that may or may not link to you. Different ranking signals carry different weights — depth and structure matter more, exact-match keyword density matters less, citation-worthiness (do other sources reference you?) matters enormously. The fundamentals of good content overlap, but the tactical layer is genuinely distinct.

How do you measure success in AI SEO?

Three metrics. First, citation count — how often your brand or content is cited in AI assistant responses for priority queries. Second, citation quality — are you cited as the primary source, secondary, or footnote? Third, downstream traffic — clicks, sessions, and conversions attributed to AI referral sources (which now show up in GA4 as "chatgpt.com," "perplexity.ai," "gemini.google.com," etc.). Tools like Profound and Otterly automate citation tracking; GA4 handles the traffic side.

Should I block AI crawlers or let them in?

Almost always let them in — at least the major ones (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bingbot/CCBot). If AI assistants can't crawl your site, they can't cite you. The only reason to block them is if you have a genuine commercial issue (e.g., a paywalled archive you don't want feeding free LLM responses). For 95% of brands, blocking AI crawlers is a strategic mistake.

Won't AI just take all my traffic eventually?

Some traffic, yes — informational queries that used to drive blog clicks will increasingly resolve in AI without a click-through. But high-intent commercial queries still drive clicks: people researching a purchase want to verify, compare, and ultimately visit a brand site before deciding. The brands that get cited by AI become the ones prospects click through to verify. Brands that don't get cited disappear from consideration entirely.

How long until AI SEO shows results?

Faster than traditional SEO in some ways, slower in others. Schema and content structure changes can affect AI extraction within days as models recrawl. Building enough authority and citation density to consistently appear in AI answers usually takes 2–4 months of focused work. Wikipedia / Wikidata entity work has the longest lag (3–6 months) but the highest ceiling.

What's llms.txt and do I need it?

llms.txt is a proposed standard (similar to robots.txt) for telling LLMs how to interpret your site — pointing to canonical content, key documentation, and structured summaries. Adoption is still early. I implement it for clients where it makes sense, but it's not a magic bullet. The real work is making your existing pages parseable, not adding a sidecar file.

Do you handle Reddit and forum strategy?

Yes. LLMs heavily weight Reddit, Quora, and niche community discussions as ground-truth signals — meaning a strong, organic presence in relevant communities can move the needle on AI citations significantly. I help craft strategy that's compliant with each community's rules (no spam, no astroturfing) and earns genuine engagement.

Can I just bundle AI SEO with traditional SEO?

Yes — and it's usually cheaper and more effective than buying them separately. The Authority Build package covers GEO + AEO + LLM SEO + content optimisation as a single 90-day engagement, integrated with whatever traditional SEO work you're already doing. See packages.

Ready to be cited by AI?

The window to establish AI visibility before competitors do is open now. Tell me about your brand and I'll show you where you stand today.