A continuous engagement to engineer your site for retrieval by ChatGPT, Perplexity, Claude, Gemini, and Google's AI Overviews. Entity-clean infrastructure, E-A-V triple production, schema deployment, citation diagnostics, and structural reinforcement — designed to make your entity the one AI systems retrieve from on your category's queries.
Six continuous workstreams run across the engagement. Each one operates on a defined cadence, with measurable AI retrieval outcomes. Not "we'll write FAQs" — entity-level engineering of the structural properties that make AI systems retrieve from your site over competitors.
Structured Entity-Attribute-Value triples deployed across priority pages. The relational format LLMs retrieve from. Each triple validated against schema and tied to a buyer-stage query.
Article, FAQ, Breadcrumb, HowTo, Organization, and Product schema types deployed at scale. Tied to entity recognition, not generic SEO hygiene. Validated against Google's structured data testing tool monthly.
Monthly testing across 4 LLM surfaces (GPT, Perplexity, Claude, Gemini) on 30–60 representative queries. Citation-readiness scored per cluster. Failures root-caused.
Iterative content adjustments based on citation diagnostic findings. Pages that fail retrieval get restructured for E-A-V clarity. Closes the AI visibility gap systematically.
Ensures published content contributes net-new attributes beyond the SERP agreement area. Pages with novel attribute coverage get retrieved disproportionately by LLMs.
Cluster-by-cluster AI retrieval scorecard. Which queries earned citations, which didn't, why — with specific remediation actions for the next cycle.
Below: the engagement compressed into 6 active components. Building mode shows the engagement at month 02 (typical for new clients). Outcome mode shows representative state at month 06.
This engagement produces real outcomes for businesses ready for the methodology — and frustrates businesses looking for quick fixes. The fit map below is honest. If your business is in the right column, an audit-first approach or a different service is the better starting point.
The engagement runs in continuous monthly cycles after a 4-week onboarding phase. Most clients see measurable AI citation gains by month 03 and category-defining retrieval by month 06–09.
Continuous engagement priced as monthly retainer + onboarding fee. Final pricing depends on cluster count, query test surface, vertical regulatory layer, and reporting cadence. All pricing locked at kickoff with monthly cycles billed in advance.
Onboarding fee at kickoff (Phase 01) · monthly retainer thereafter (Phase 02+). Minimum 6-month engagement to allow citation outcomes to compound. Cycle review after month 06 for scope continuation.
Book Strategy CallThe questions below come up most often during scoping calls for this engagement.
Measurable improvements typically appear by month 03 as the first round of E-A-V triples and schema deploy. Category-defining retrieval (where your entity becomes the one AI systems prefer to cite) typically takes 6–9 months of continuous engagement.
This is structural work, not switch-flipping. Authority compounds.
Standard test panel: ChatGPT (GPT-4 and beyond), Perplexity, Claude, and Gemini. We also spot-check Google's AI Overviews where they appear for category queries. We expand the panel as new retrieval surfaces emerge.
Strongly recommended. AI visibility engineering operates on top of architectural foundation. If your Central Entity is fragmented or your topical map is incomplete, citation engineering compounds slowly.
If you don't have architecture yet, we typically scope architecture + visibility together as a sequenced engagement.
No. Schema is one of 6 workstreams. The bigger leverage is in E-A-V triple production, Information Gain engineering, and retrieval reinforcement — which are content-layer disciplines, not technical-layer ones. Schema alone gets you partway; the rest is structural content engineering.
Cluster-by-cluster AI citation tracking. Each cluster has a representative query set tested monthly across 4 surfaces. Success = sustained citation rates increasing quarter over quarter. Vanity metrics like impressions or rankings are not the success measure — verified retrievals are.
6 months. AI citation outcomes are structural and compound over cycles. A 1–3 month engagement produces work without producing the outcomes the work is engineered for. We've declined shorter engagements where the math didn't favor the client.
AI search is reshaping how buyers discover. The agencies that engineered for it early are compounding citations. The ones that didn't are watching their organic traffic decline. Get on the right side of the shift.