Testing your industry
Ideal for new clients exploring what SEO can do for their sector. Lower commitment, faster decision.
LLM SEO
Become the source LLMs trust.
LLM SEO focuses on becoming a trusted retrieval source for large language models — ChatGPT, Claude, Gemini, and Copilot — through entity work, citation hygiene, content depth, and durable authority signals.
LLMs don't crawl every query — they retrieve from a trusted set.
Behind every ChatGPT, Claude, Gemini, or Copilot response is a retrieval system that decides which sources to consult before generating an answer. That retrieval system is opinionated: it favours sources with deep topic coverage, strong entity presence (Wikipedia, Wikidata, Google Knowledge Graph), citation density (other authoritative sites linking and quoting them), structural clarity (semantic markup, clear claims), and consistency over time. LLM SEO is the discipline of building those signals deliberately.
Unlike traditional SEO, where you can sometimes win rankings with one strong page, LLM SEO is fundamentally about long-term entity-level authority. A single well-optimised page rarely moves the needle. What moves the needle is consistent depth across a topic cluster, sustained presence in the open web (forums, repositories, social, code, communities), and entity verification through Wikipedia, Wikidata, and verified profiles on platforms LLMs ingest. It's slower work, but more durable than ranking-based SEO.
For brands building AI-era moats, LLM SEO is the highest-leverage long-term investment available right now. The window where most competitors are still focused on classic Google SEO won't last forever. Brands that establish trusted-source positioning in the next 12–18 months will compound for years.
LLM SEO deliverables.
- Entity audit — current presence in Wikipedia, Wikidata, Google Knowledge Graph, OpenCorporates, Crunchbase
- Wikipedia & Wikidata strategy — eligibility check, sourcing, draft and submit (compliant with editorial policies)
- Knowledge Graph optimisation — sameAs markup, verified profiles, consistent NAP across the open web
- Citation reciprocity — being cited by sites LLMs already trust (the network effect that fuels retrieval)
- Reddit / Quora / forum presence — heavily weighted by LLMs as ground-truth community signal
- Topic cluster depth — owning all related subtopics with substantive content, not just the head term
- Original data and research — being the only source with specific stats, studies, or perspectives
- Author entity work — verifiable author identities with cross-platform consistency
- Quarterly retrieval testing — direct prompt experiments across LLMs to validate visibility
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.
Established businesses
Recommended for established businesses targeting competitive keywords with a clear growth target.
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.
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.
Common LLM SEO questions.
Is LLM SEO different from AI SEO and GEO?
There's overlap. AI SEO is the umbrella; GEO is specific to generative answer surfaces; LLM SEO focuses on becoming a trusted retrieval source for the underlying language models — including their training data, retrieval-augmented generation pipelines, and entity recognition. LLM SEO is the most "long-game" of the three — it's about durable authority rather than fast citation wins.
Can I really get my brand into Wikipedia?
Maybe. Wikipedia has strict notability criteria — your brand needs significant independent coverage in reliable sources (mainstream news, academic publications, industry analysis). For most SMBs, the answer is no. For brands with genuine media coverage, the answer is "carefully, following Wikipedia's policies and using qualified contributors." I do the eligibility check first; if you're not ready, we focus on Wikidata and Knowledge Graph instead.
What about Wikidata vs Wikipedia?
Wikidata is structured-data Wikipedia — entries don't require notability, just verifiable identity and references. Almost any legitimate business can have a Wikidata entry. LLMs ingest Wikidata heavily for entity recognition and disambiguation. If Wikipedia is closed to you, Wikidata is open and impactful.
How long until LLM SEO shows results?
Long. Schema and structural changes can affect retrieval within weeks. Entity work (Wikidata, Knowledge Graph, sameAs links) shows in 2–4 months. Wikipedia and deep authority work often takes 6–12 months. Plan for a 12-month strategic horizon, not a 90-day campaign. The reward is durability — once you're a trusted source, you tend to stay one across model updates.
Will my content be used to train AI models?
Possibly — depending on which crawlers you allow. GPTBot, ClaudeBot, Google-Extended, and others are training-data-related. You can choose to allow or block them in robots.txt independently of search-related crawlers. I'll help you decide based on your business model. For most brands the strategic answer is "allow training data ingestion" because the upside (becoming part of model knowledge) usually outweighs the IP concerns.
Can a small Filipino business compete with global brands in LLM SEO?
For local PH queries, yes — global brands often have weak Philippine-specific entity presence, leaving room for local brands to own local LLM positioning. For global queries against major incumbents, harder. But there's a wide middle band of niche queries (specific industries, niche services, Filipino topics) where mid-sized PH brands can become the trusted source.
Do I need to publish original research to win?
Not strictly required, but it's a major accelerator. LLMs reward sources with information that exists nowhere else — proprietary studies, internal data, original opinions, novel frameworks. Even small original research (a survey of your customers, an analysis of public data) creates citation magnets. If you can't produce research, focus on definitive depth on existing topics.
How is LLM SEO priced?
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.