Content systems that earn visibility in AI-powered search
Content systems, topic cluster architecture, AI editorial workflows, and answer engine optimization that earn visibility in AI-powered search.
What We Deliver
AAO Audit & Implementation
Answer engine optimization assessment, content restructuring for AI citation, and entity authority building
Topic Cluster Architecture
Pillar-hub-spoke content models, semantic interlinking, and topical authority measurement frameworks
AI Editorial Workflows
AI-assisted content production pipelines, quality gates, fact-checking protocols, and voice consistency systems
Content Measurement
Content ROI frameworks, organic attribution, engagement scoring, and content decay monitoring
Search is no longer a single channel. Google AI Overviews, ChatGPT, Perplexity, and Gemini are reshaping how people find, evaluate, and cite information. Content that was built for traditional SERP rankings now competes for visibility across an ecosystem of AI-powered answer engines.
I build the content systems, topic architectures, and editorial workflows that earn visibility in this new landscape. Not just ranking, but getting cited.
Why This Matters
Most content strategies still optimize for a world that peaked in 2022. They chase keyword volume, publish on a calendar, and measure success by organic sessions. Meanwhile, AI search engines are compressing entire articles into single answers, citing some sources and ignoring others entirely.
The companies that win in this environment are the ones with structured content systems: clearly defined topic authority, entity-rich content, and production pipelines that can adapt to how AI models retrieve and cite information.
Answer engine optimization (AAO) is not a tactic. It is a structural advantage. The organizations that build these systems now will own the visibility that others scramble for later.
What’s Included
AAO Audit & Implementation
Assess and restructure your content for AI citation.
- AI Search Visibility Audit: Measure your current citation rate across Google AI Overviews, ChatGPT, Perplexity, and Gemini. Benchmark against competitors. Identify which content earns citations and why.
- Content Restructuring for Citation: Rewrite and restructure existing content to increase AI citation probability. Front-loaded answers, factual density, entity markup, and modular paragraph architecture.
- Entity Authority Building: Map and strengthen the entities your brand should own. Structured data implementation, knowledge panel optimization, and topical authority signals.
- Source Authority Signals: Build the credibility markers that AI models weigh when selecting sources to cite. Original research, first-party data, expert attribution, and citation-worthy formatting.
Topic Cluster Architecture
Build content structures that establish and defend topical authority.
- Pillar-Hub-Spoke Models: Design comprehensive topic cluster architectures that signal depth and authority to both traditional search engines and AI retrieval systems.
- Semantic Interlinking Strategy: Build internal link graphs that reinforce topic relationships. Hub-spoke navigation, contextual crosslinks, and programmatic link auditing.
- Topical Authority Measurement: Custom dashboards tracking share of voice by topic cluster, content depth scores, and competitive coverage gaps.
- Content Gap Analysis: Identify the topics and subtopics your competitors cover that you don’t. Priority scoring based on search demand, AI citation opportunity, and business alignment.
AI Editorial Workflows
Production pipelines that maintain quality at scale.
- AI-Assisted Content Pipeline: Design production workflows that use AI (Claude, Gemini, Perplexity) as research and drafting tools while maintaining human editorial oversight, voice consistency, and factual accuracy.
- Quality Gates & Fact-Checking: Build review protocols that catch AI hallucinations, verify statistics with source URLs, and enforce brand voice before publication.
- Voice Consistency Systems: Author style guides, tone calibration tools, and editorial checklists that ensure every piece sounds like it came from the same strategic mind, whether AI-assisted or not.
- Content Velocity Framework: Scale output without sacrificing quality. Template libraries, brief standardization, and editorial workflow automation.
Content Measurement
Connect content production to business outcomes.
- Content ROI Frameworks: Attribution models that connect individual content pieces to pipeline and revenue. Beyond pageviews: track how content contributes to lead generation, deal velocity, and customer retention.
- Organic Attribution: Measure the contribution of organic content across the full buyer journey, from first touch to close. Multi-touch attribution with content-specific granularity.
- Engagement Scoring: Proprietary scoring models that identify which content actually moves buyers forward versus content that generates vanity metrics.
- Content Decay Monitoring: Automated alerting when high-performing content loses rankings, traffic, or AI citations. Refresh prioritization based on revenue impact, not just traffic drop.
Who This Is For
- Companies whose organic content is being summarized but not cited by AI search engines
- Marketing teams publishing consistently but seeing diminishing returns from traditional SEO content
- Organizations with 100+ content pieces that need structural reorganization for topic authority
- Companies investing in AI tools for content but lacking the editorial framework to maintain quality
- Marketing leaders who need content to be a measurable revenue channel, not a cost center
Tools I Use
| Tool | Purpose |
|---|---|
| Ahrefs | Topic research, content gap analysis, competitive intelligence |
| Clearscope | Content optimization scoring, topic modeling |
| Claude API | AI-assisted drafting, research synthesis, editorial tooling |
| Perplexity | AI search monitoring, citation tracking, research |
| Surfer SEO | On-page optimization, SERP analysis, content scoring |
| Google Search Console | Organic performance, query analysis, indexing |
| Google Analytics 4 | Content attribution, engagement measurement |
| Screaming Frog | Internal link auditing, content inventory, technical analysis |