BackWebLogic

06 / Discipline

AI

AI-driven content, search, and personalization woven into the marketing stack — not bolted on.

5×

Content velocity

+71%

Citation rate (90d)

< 90ms

Edge LLM latency

We treat AI like infrastructure — vector indexes, semantic search, content pipelines, and citation engines that quietly compound throughout the site. Never a chat bubble in the corner.

/ What we do

Four disciplines inside the discipline.

  • Vector & Semantic Search

    Site-wide search backed by vector embeddings. Visitors find what they meant, not what they typed.

  • AI Content Operations

    Briefing, drafting, fact-checking, and translation pipelines. Marketing ships 5× more content without losing voice.

  • LLM Personalization

    Hero copy, proof points, even microcopy generated per ICP at the edge. With guardrails, fallbacks, and approval flows.

  • Citations Engine

    We engineer for what ChatGPT, Perplexity, and Claude actually quote — and track citations as a core metric.

/ Our approach

How we run it.

  1. 01

    AI is invisible until it isn't. No chat bots, no flashy demos — just compounding leverage in search, content, and personalization.

  2. 02

    Every LLM-driven surface ships with a deterministic fallback. The site never breaks if the model rate-limits.

  3. 03

    Content pipelines live in your CMS. Marketing approves drafts; AI doesn't ship without a human in the loop.

/ What you get

Deliverables, not slideware.

Every engagement leaves your team with a working platform — code, schemas, runbooks. No black-box hand-offs.

  • Vector index + semantic search UI
  • AI content pipeline (brief → draft → review)
  • Edge LLM personalization + fallbacks
  • Citation-engine instrumentation
  • Governance playbook + guardrails

Bring this discipline to your stack.

A senior partner replies inside one business day — and a free composable audit lands in your inbox the next.

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