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AI Discovery Setup

ADD-ON

AI Discovery Setup

Modular pick-and-choose AI-discoverability add-on. Bundles onto any Voltage Build tier. You select the features you actually want — pricing scales with your picks, not a fixed bundle. See the comparison table for what's available at your tier.

AI Discovery Setup is a modular add-on for AI-discoverability work that goes deeper than what your tier baseline ships. Every Voltage Build (Spark, Current, Surge) already includes the AEO baseline — schema, llms.txt, AI crawler allowlist, question-format headings. What AI Discovery adds is the machine-readable infrastructure most contractor sites skip entirely: an auto-generated llms-full.txt at every build, a JSON SSOT that feeds both page rendering and AI surfaces, explicit Article schema for blog posts, and a full Rich Results Test sign-off with documentation. What gets added — and what it costs — depends on your tier. The comparison table below shows exactly which features ship at each tier, which AI Discovery adds, and which aren’t available anywhere yet.

Pricing scales with your build tier

Spark · Tier 1

$500 – $1,500

Limited feature set (single page). Pick from llms.txt, validation, Review schema, H2 retrofits, docs.

Current · Tier 2

$500 – $3,500

Widest feature set. Pick any combination of llms-full.txt, SSOT, Article schema, validation, docs.

Surge · Tier 3

$500 – $2,000

Surge already has most schema + AEO upgrades. AI Discovery adds llms-full.txt, SSOT, Article, validation, docs.

Pick the features you need — AI Discovery is modular

AI Discovery Setup is a pick-and-choose add-on. Each row below shows whether a feature is included in your tier baseline (✓), available as an add-on you can select (+), or not applicable at this tier (—). Pricing scales with what you pick.

Feature Spark
$850 build + AI Discovery: $500 – $1,500 		Current
$1,800 build + AI Discovery: $500 – $3,500 		Surge
$3,200 build + AI Discovery: $500 – $2,000
robots.txt AI crawler allowlist GPTBot, Claude-Web, PerplexityBot, Google-Extended, etc. ✓ ✓ ✓
Basic llms.txt stub Site description + contact, ~10 lines ✓ upgraded → curated upgraded → curated
Curated llms.txt (50–80 lines) Site sections, services, attribution & linking requests for AI systems + Available baseline + AI Discovery expands baseline + AI Discovery expands
Auto-generated llms-full.txt Full markdown dump rebuilt on every deploy — + Available + Available
LocalBusiness JSON-LD NAP, hours, service area ✓ ✓ ✓
Per-page Service + FAQPage schema One Service entity per service page; FAQPage on Q&A sections — ✓ ✓
BreadcrumbList schema Sitewide breadcrumb structured data — + Available ✓
Review schema On testimonial blocks; sourced from real Google reviews where possible + Available + Available ✓
Article schema (blog posts) BlogPosting / NewsArticle with author Person ref + citation array. Blog architecture itself starts at Grid (Tier 4) — if you have a blog on Current or Surge, AI Discovery can wire schema to it. — available (if blog) available (if blog)
Question-format H2 headings Matches People-Also-Ask + conversational AI prompt patterns + Available ✓ ✓
Specific-data H2 headings (+33% AEO lift) Pricing, timelines, certifications front-loaded in headings + Available + Available ✓
JSON SSOT (services.json / products.json) Single source of truth file for page generation + AI discovery — + Available + Available
Validation in Google Rich Results Test Full schema audit, written report of warnings + resolutions + Available + Available ✓
2-page handoff documentation What was set up, where files live, how to update + Available + Available + Available

✓ Included in the tier baseline + Pickable AI Discovery add-on — Not applicable at this tier

What you get

  • Curated llms.txt expansion — extends your tier's manually-written file to 50–80 lines with attribution/linking requests for AI systems
  • Auto-generated llms-full.txt at build time — full markdown dump rebuilt on every deploy for AI systems that index full-text rather than indexing pages
  • JSON SSOT (services.json or products.json) — single source of truth file feeding both page generation AND AI-discovery surfaces
  • Article schema deployment for blog posts (BlogPosting / NewsArticle with author Person ref + citation array) — explicit at Surge tier; new at Current
  • Schema validation in Google Rich Results Test + schema.org validator — written report of any warnings + resolutions, signed off before launch
  • 2-page handoff documentation — what was set up, where each file lives, how to update it

What's included

  • 14-day post-launch warranty for any setup bugs DP ships
  • Read-only access to source files at handoff (so a future developer can take over)

First-party data

AI Discovery Setup is in its initial release period. As client sites with this add-on launch, measurable citation lift (tracked via AI mention monitoring) will be linked here.

Frequently asked

Why is pricing a range and not a flat number?
AI Discovery is pick-and-choose. The comparison table above shows every feature available at your tier — you select which ones you want and only pay for those. Floor at every tier is ~$500 (validation + handoff doc; the bare minimum that's always worth doing). The ceiling varies by tier because some features aren't applicable at lower tiers (Spark can't have llms-full.txt or JSON SSOT — there's nothing to dump or list). Current has the widest ceiling ($3,500) because every feature applies; Surge has a lower ceiling ($2,000) because it already ships most of the expensive features at baseline. The actual cost locks in your Statement of Work after we agree on which features you're picking.
How is this different from the AEO baseline already in my build?
Every DP build (Spark, Current, Surge) ships with the AEO baseline already — schema, llms.txt, AI crawler allowlist, question-format H2s. AI Discovery Setup is the deeper machine-readable layer the tier doesn't include. The actually-new pieces are the auto-generated llms-full.txt (full markdown dump at every build), the JSON SSOT (single source of truth for services data, feeds both page generation and AI surfaces), explicit Article schema for blog posts, and a Rich Results Test sign-off. The comparison table above shows the difference row-by-row.
What's the timeline?
1–2 weeks once your underlying site is live. Prerequisite is having content to wire up — the audit, the llms.txt expansion, and the SSOT schema design all benefit from real services + real content already in place. If you're sequencing a brand-new build plus this add-on, expect the AI Discovery work to start the week your site ships.
Can I add just specific pieces instead of the full add-on?
Yes — AI Discovery is intentionally modular. If you only want the JSON SSOT (no llms-full.txt or handoff doc), or only the Rich Results Test validation pass, we scope that during discovery and price accordingly. The tier prices above are the typical full-bundle cost; the actual scope locks in your Statement of Work.

Sources

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