Search architecture
Descriptive URLs, internal links, sitemap coverage, canonical tags, and service pages organized around buyer intent.
SEO and AI Discovery
SEO for search engines, AI assistants, and buyers who need direct answers.
Modern organic visibility needs crawlable architecture, helpful content, structured data, clean technical signals, and machine-readable context.
01 / Overview
Search engines still need clear pages, links, metadata, sitemaps, and useful content. AI assistants need many of the same signals plus concise context that helps them understand who you are, what you offer, who you serve, and which pages are canonical.
Launch Catalysts builds SEO and AI discovery systems by combining page architecture, service content, technical metadata, schema markup, internal links, analytics, and llms.txt style summaries. The goal is not to trick algorithms. The goal is to make the business easier to understand, cite, and evaluate.
02 / Discovery Layers
The strongest organic foundation is not one trick. It is a stack of clear signals that all say the same true thing.
Answer-ready pages
Clear sections that define the service, use cases, deliverables, process, FAQs, and related expertise.
Structured data
Organization, Website, Service, FAQ, WebPage, and Breadcrumb schema where it accurately reflects the content.
LLM context
Curated llms.txt and expanded context files that point AI systems to the most useful canonical pages.
03 / Deliverables
- SEO and AI discovery audit
- Keyword, topic, and buyer question map
- Page architecture and internal linking plan
- Metadata and schema implementation
- llms.txt and AI context summary
- Tracking plan for organic and assisted discovery
04 / Process
The work moves from signal to shipped system.
Map intent
We identify the searches, questions, and comparison moments your buyers use.
Build pages
We create helpful, specific pages that answer those questions without thin duplication.
Add machine signals
We implement metadata, schema, sitemaps, robots rules, and LLM context files.
Measure and improve
We track visibility, engagement, conversions, and content gaps as the market responds.
05 / FAQ
Direct answers for buyers, search engines, and AI assistants.
Is llms.txt an official ranking factor?
No. It is an emerging convention, not a guaranteed ranking factor. We use it as an additional clarity layer, not a replacement for strong pages.
Should every service have its own page?
Usually yes when the service has distinct buyer intent, deliverables, FAQs, and proof. Thin duplicate pages should be avoided.
Can AI-generated content hurt SEO?
Low-value scaled content can be risky. Helpful, accurate, edited content that serves users is the safer path.
06 / Related