Stop reading audit reports.We get you cited.

The loop we run on your brand

Five-step engagement, repeated weekly. The work is continuous; the loop never closes until the citation share moves.

1. Brand knowledge base

   01

   We map your positioning, voice, ICP, top revenue pages, and competitive landscape into a per-brand knowledge graph. Everything downstream stays on-brand.

2. Run the 47-signal probe

   02

   Diagnostic pass across every revenue-driving page using the open VectorCite rubric. We surface the gaps that move the citation needle, not the cosmetic ones.

3. We ship the fixes

   03

   Schema.org markup. BLUF rewrites. Author bylines + bio pages. Wikidata entity submission. llms.txt. Press strip. We publish into your CMS — WordPress, Shopify, Webflow, headless — and you approve before anything goes live.

4. Measure citation share weekly

   04

   Tracked queries across ChatGPT, Claude, Perplexity, Google AI Overview. Bi-weekly written report showing what moved, what didn't, what we're rewriting next.

5. Rewrite underperformers

   05

   Pages that don't move citation share in three weeks get a second pass with fresh angle. Closed loop — publish → measure → rewrite — runs until the page works.

Who this is for

We work with teams whose buyers research via AI engines before talking to anyone on your team. The signal is the same; the implementation differs.

Engagement shapes

Three standard shapes. Custom enterprise + multi-brand on request.

All tiers month-to-month. No annual contract required. Email service@digiocular.com with your domain + top 3 revenue pages for an actual quote.

Anticipated questions

• How is this different from the free audit?

  The free audit at /audit gives you a score and a list of fixes. You implement them. Done-for-You means we implement them — and then we keep measuring and iterating. Different products for different stages of intent.

• How is this different from a generic SEO agency?

  Generic SEO agencies optimize for Google blue-link rankings. We optimize for being cited inside AI-generated answers. Different signal weights, different deliverables, different success metric. We will not rewrite your meta titles for keyword density. We will get you a Wikidata entity, schema.org markup that survives validation, and a brand-entity graph that AI engines treat as authoritative.

• How long until I see results?

  Schema, llms.txt, and bylines move signals on the next AI engine crawl — typically 7–21 days. Wikidata entity approval takes 1–3 weeks (we handle the submission + press citation work). Compound citation-share growth shows in months 2–4 as the brand-entity graph matures and competitor citations get displaced.

• Do I keep working with you forever?

  No. Most clients work with us for 3–9 months — through the diagnostic pass, the schema + entity + content fix cycle, and a measurement window long enough to verify the lift. After that you either roll it in-house (we hand over the playbook) or stay on a lighter monitoring retainer.

• What happens to my data + content if I cancel?

  Everything stays yours. Schema markup, JSON-LD, content drafts, Wikidata entity, knowledge-graph submissions — all written into your CMS, your codebase, your Wikidata account. We take nothing with us. The audit history stays in your VectorCite dashboard.

• Pricing?

  Three engagement shapes: Indie ($999/mo, single brand, monthly cadence), Growth ($2,499/mo, multi-page execution, bi-weekly), Agency White-label ($499/mo seat + per-client overage). Custom pricing for enterprise + multi-brand. Email service@digiocular.com for the actual quote.