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Services/Schema for the Web

The web has a new schema. We build your brand's presence on it.

Search engines crawl HTML. AI agents don't. They query structured endpoints, receive data, and synthesize answers — and right now, your website isn't one of those endpoints. We build and manage the layer that is.

$10k / month3-month minimumLive in week one

Old schema · 1998–

The crawled web
  • index.htmlcrawl
  • robots.txtcrawl
  • sitemap.xmlcrawl
  • meta tagscrawl

New schema · 2024–

The queried web
  • /mcpquery
  • /llms.txtquery
  • embeddingsquery
  • canonical citationsquery
Who's asking?every AI agent
ClaudeChatGPTGeminiPerplexity

Your competitors' websites don't have this layer. Neither does yours — yet.

Your website is a brochure in a world that's shifting to conversations .
The positioning, in one line
The infrastructure gap

Every layer of the new schema. None of it is on your site.

Robots.txt told crawlers what exists. Sitemaps told them where. Those are artifacts of the old web. The new web has its own artifacts — and no content team is going to ship them on Monday.

/mcp

A structured endpoint .

An MCP server AI agents can query directly — like an API for your brand's knowledge. Read-only, public, discoverable.

/llms.txt

A manifest , not a list.

Tells AI systems what your content covers, how it's organized, and how to weight it. A sitemap for synthesis, not crawling.

embeddings

Semantic, not keyword .

Vector representations so an agent asking a related question finds the right memo — even when the words don't match.

citations

Canonical links back .

Every response points at your domain. The citation the agent shows — and the backlink that compounds — is yours, not a third-party's.

Your competitors' websites don't have any of this. Neither does yours.

The deliverable · 01

A managed knowledge library at mythos.yourdomain.com.

We stand it up in week one. We populate it. We keep it compounding. Month over month, the library gets denser, more densely cross-linked, and more cited — on your subdomain, under your brand, yours to keep.

No agency retainer dressed up in AI language. No generic content farm. A structured corpus engineered for the layer AI agents actually query — with a weekly report that shows you exactly what was built and how it's performing.

01
50–100+ structured memos per month
Three content types, working together: company & product , FAQs sourced from support & sales, industry intelligence .
Monthly
02
Topic-cluster architecture
3–5 pillar topics with 8–15 satellites each, densely cross-linked. The structure AI agents traverse when synthesizing.
Blueprint
03
Public MCP endpoint
Any AI agent can query the library directly via /mcp . Tool-calling, read-only, no auth required.
Live wk 1
04
Full discoverability stack
llms.txt , agent-aware robots.txt , XML sitemaps, JSON-LD structured data, canonical URLs on your domain, /.well-known/mcp.json for auto-discovery.
Live wk 1
05
Weekly intelligence reports
Memos generated by type · cross-links created · outbound links to your site · inbound backlinks detected · MCP query volume & top queries.
Weekly
06
Client-facing dashboard
Content inventory, performance metrics, archive of every weekly report. Named logins for your team.
Ongoing
How the work happens

Onboarding in two weeks. Compound weekly after that.

PHASE · 01

Kickoff & architecture

Month 1, weeks 1–2. Everything that needs to be true before we publish the first memo.

  • Kickoff on products, positioning, audience, competitors, existing assets.
  • CNAME to mythos.yourdomain.com, Railway provisioning, DNS + discoverability stack activation.
  • 3–5 pillar topics, 8–15 satellites each. Content blueprint signed off.
  • Initial library build: 30–50 memos — company overview, product pages, core FAQs, foundational industry content.
PHASE · 02

Compound, weekly

Month 1 week 3 onward. The library doesn't sit still.

  • 15–25 new memos per week — product content, FAQs from support & sales & People-Also-Ask, industry signal.
  • Weekly intelligence report, delivered end of week.
  • Optional 30-min monthly strategy call — priorities, what's resonating, what to double down on.
PHASE · 03

Yours, forever

After month 3. The library is yours. The compounding keeps happening.

  • Library lives on your subdomain permanently — exportable as Markdown at any time.
  • Oracle subscription ($100/month) keeps it live and keeps MCP queryable.
  • Re-engage for another sprint when there's a product launch, category shift, or category you want to own.
Pricing

Priced as an infrastructure build, not a retainer.

Three phases, one price. Month 1 includes onboarding and the initial library — no setup fee.

Phase 01 · Month 1

Build & launch

CNAME, discoverability stack, pillar architecture, 30–50 initial memos live on your subdomain.

$10,000/ month
  • Everything in the deliverable list
  • 2-week onboarding
  • Live MCP endpoint by end of week 1
  • No setup fee
The engagementPhase 02 · Months 2 & 3

Compound & measure

Sustained 15–25 memos/week, topic-cluster fill-in, weekly intelligence reports.

$10,000/ month
  • 3-month minimum engagement
  • 60–100 new memos per month
  • Weekly report + optional monthly strategy call
  • Full dashboard access for your team
Phase 03 · After month 3

Yours, maintained

Library stays live on your subdomain. MCP stays queryable. You own the asset outright.

$100/ month
  • Oracle subscription to keep the library hosted
  • Export everything as Markdown anytime
  • Re-engage for fresh sprints at $10k/month
  • Zero lock-in

$30k total engagement·Live in week one·Yours, exportable, forever

When the library is live

An optional amplification layer.

The library makes you queryable. If you want the content you've built to compound faster — seeded into the places your audience already reads, watches, and debates — we work in partnership with a complementary service built for exactly that. Referral; not bundled; discussed only when the library is live and worth amplifying.

Schema for the Web builds the layer agents query. Amplification seeds it into the layer humans read.

What you're probably thinking.

We already do content marketing.

Content marketing optimizes for humans clicking links. Schema for the Web optimizes for AI agents citing your brand. They're complementary, not competing — and the latter is an asset class most of your competitors haven't started building.

Can't we just do this ourselves?

You could hire the team, spec the MCP server, build the discoverability stack, ship the topic architecture, and still need 6–12 months of content under it. Or you can be live on the new layer in week one.

How do we measure ROI?

Weekly reports show exactly what was built: memos generated by type, cross-links created, outbound links to your site, inbound backlinks detected, MCP query volume, top queries. After the engagement, the library keeps working — this isn't rented visibility you stop paying for and lose.

What happens after three months?

The library is yours, on your subdomain. An Oracle subscription ($100/month) keeps it live. The content keeps compounding. Re-engage for additional sprints anytime — a product launch, a category shift, a new market.

$10k/month feels expensive.

Your current SEO agency charges that to optimize for a model losing market share to AI answers every quarter. This builds for the model gaining it — and you keep the asset when the engagement ends. Reframed: it's a line-item in your content budget that builds infrastructure instead of renting visibility.

The close

SEO had this arc in 2005. The companies that moved early still own it.

The question isn't whether brands need to be queryable by AI agents. The question is when you build for it . We're in 2005 for the agentic web. This is the part where you move first.

$10,000 / month · 3-month minimum · live in week one · yours, forever