SEO and LLM Visibility
Service page for building pages that compete in Google search and are structured to be cited in ChatGPT, Claude, Perplexity, and Gemini.
US search visibility | SERPs and LLM answers
SEO, SERP and LLM content optimization
for US companies.
Remote search-growth help for US companies that need service pages, content clusters, internal links, schema, and governed content built for both Google results and LLM answers.
SERPs + LLMs
Built for both surfaces
4
Private AI pipelines combined
22
Governed articles in one run
1st
Page Google ranking case study
Fit
When this service makes sense
This is for businesses that need a search system, not a pile of generic AI articles.
You need Google and LLM visibility
Your buyers search in Google, but they also ask ChatGPT, Claude, Perplexity, and Gemini. The page structure needs to serve both.
You need content creation with governance
Content has to be sourced, checked, internally linked, and written around real proof. Bulk AI output is not the offer.
You need one ranking goal first
The engagement starts with a target query, a realistic search opportunity, and the page or cluster most likely to carry the ranking.
You need technical SEO handled properly
Schema, canonical URLs, sitemap priority, headings, internal links, citable sections, and crawlable HTML are part of the build.
Search Work
What I handle
Search opportunity mapping
Identify the queries a US business can realistically compete for, where the SERP is weak, and what page should carry the intent.
Service page planning
Build the page plan: title, H1, sections, FAQ, schema, proof blocks, internal links, and conversion path.
Governed content creation
Create briefs and drafts through a controlled pipeline: no invented facts, no generic AI phrasing, source-grounded claims, and human review.
Internal links and topical clusters
Turn pages, posts, projects, and reviews into a connected cluster instead of isolated content.
Schema and crawlability
FAQPage, BreadcrumbList, ProfessionalService, LocalBusiness, canonical URLs, sitemap entries, and crawlable server-rendered content.
Measurement
Track indexing, impressions, clicks, ranking movement, and LLM citation opportunities over the first 90 days.
Projects
Search and content system experience
SEO AI Toolbox
Private Search and Content System
Four custom pipelines for site intelligence, search planning, governed content production, and publishing.
See the toolbox›Ranking Case Study
Service Page Ranking Recipe
A public engineering case study showing how a service landing page was built for search and LLM-answer visibility.
Read the case study›Content Pipeline
22-Article Governed Content Run
A content run with governance gates, source checks, internal link requirements, and review before publishing.
Live Service Page
Search Visibility Example
A service landing page on this site built with the same recipe: schema, internal links, proof blocks, and crawlable content.
Open the page›SEO References
Search, LLM, and content examples
Selected pages showing the system: the SEO AI Toolbox, the dual-surface visibility service, the ranking case study, and the live service page example.
SEO AI Toolbox
Private AI search and content system combining four pipelines: site intelligence, search planning, governed content production, and publishing.
Search and LLM Visibility Case Study
Engineering case study showing how a service landing page was built for search visibility and LLM-answer citation structure.
AI App Development Service
The broader service page for custom AI pipelines used in SEO, content, sales, prospecting, estimating, and operational workflows.
Live Service Page Ranking Example
A service landing page on this site built with the same search and content system, used as live ranking proof in the case study.
Search Experience
Why this is an engineering-led service
The work combines technical SEO, structured data, crawlable page builds, internal link architecture, content governance, and applied AI pipelines. It is closer to systems engineering than a normal content retainer.
The same system is used on this site: site intelligence, search planning, page briefs, governed content drafts, internal link plans, schema, sitemap priority, and measurement. The service is applied through consultation, not sold as a self-serve tool.
SERPs
Google search results
LLMs
ChatGPT, Claude, Perplexity, Gemini
Schema
Structured data and entities
Content
Governed creation pipeline
Two ranking surfaces
Google and LLM answers read different signals, but the page has to serve both.
Google needs clean metadata, crawlable content, internal links, schema, and authority signals. LLM answer engines need clear entity definitions, paragraph-level facts, FAQ schema, citable URLs, and consistent identity across pages.
Testimonials
What Clients Say
“Anton was not only talented but relentless in making our project a success. He had great ideas and was able to meet our challenging schedule.”
Steve Levy
“Very professional work and communication.”
Synlighet AS
“Anton took his time to really understand the project and took care to make sure that all the steps were followed as laid out. 10/10 would hire again.”
Rebecca Morales
Process
How It Works
1
Pick the target query
Start with the phrase, buyer problem, or service category you want to win.
2
Map the opportunity
Review the SERP, existing pages, proof assets, competitors, and what content cluster would support the page.
3
Build the page and cluster
Create the service page, support content, internal links, schema, sitemap entry, and measurement path.
Timeline
Typical Engagements
This is scoped around one ranking goal at a time. It can include a single money page, a small content cluster, or a broader site section depending on the opportunity.
- Search opportunity map for Google and LLM-answer visibility.
- Service page plan with title, H1, sections, schema, FAQ, proof blocks, and CTA.
- Content briefs and governed drafts for support posts or project posts.
- Internal link plan connecting services, projects, reviews, and articles.
- Schema, canonical, sitemap, and indexing checks.
- 30, 60, and 90 day measurement review.
Direct Access
One developer. The entire project.
No account managers, no hand-offs. You work directly with me from first conversation to final delivery. I scope every project individually and give you a clear estimate before any work begins.
FAQ
Frequently Asked Questions
Is this traditional SEO?
Partly. It includes normal SEO fundamentals like metadata, internal links, schema, sitemap discipline, and crawlable content, but it also structures pages for LLM answer engines.
Do you create the content?
Yes. Content is created through a governed pipeline with source checks, briefs, drafts, review, internal links, and page-level purpose. It is not bulk AI publishing.
Do you guarantee rankings?
No. No one can responsibly guarantee a Google ranking or an LLM citation. The work is built to compete for visibility and measured over time.
Can this work for a US company while you are in Cape Town?
Yes. Search strategy, content planning, page builds, schema, and measurement are remote-friendly work when the scope and proof assets are clear.
Book the consultation
Tell me what you are trying to rank for.
Send the query, service, or market you want to win. I review every enquiry personally and will tell you whether the opportunity is realistic.
Want a US-facing page or content cluster built for Google and LLM answers?
Send the query, the current page if one exists, and the business outcome you want from the traffic.