AI SEO Projects

The program-design guides settle the decisions. This is the menu you assemble against them: twenty-five projects across five topical areas, each scoped to be chartered, owned, and finished. Pick against your scope, capacity, and the two clocks — not the whole menu at once.

How to order from this menu

• A program is a selection, not the menu. Pick against your scope grid: projects for surfaces you deliberately left unscoped are budget leaks with good intentions.
• Run the audits first. The cheap evidence projects —bot policy, the extractability scorecard, thevisibility baseline, and the freefirst-party switch-on — produce the evidence every other project consumes. Optimizing before you can measure is optimization you cannot prove.
• Every selected project gets four fields at charter: a named owner, a metric it moves, the clock it runs on (retrieval layer or model layer — seethe two clocks), and a finish line. A project that cannot state when it is done is a standing cost pretending to be an initiative.
• Cap concurrency at absorption capacity. Most of these projects end by handing work to editors, engineers, or PR. If those queues are full, another project makes the dashboard busier and the site no better (budget guide).
• Re-select quarterly. Finished projects graduate into standing operations or stop; the menu gets re-read against what the baseline now shows.

The five areas

• Machine-Readable Infrastructure

  Five projects that make your catalog legible to the systems that answer — generated schema, real-time feeds, a bot policy that matches reality, index freshness, and content a model can extract. This is the floor the other four areas stand on.

  Machine-Readable Infrastructure

• Entity Authority

  Five projects that make models resolve your brand before they decide whether to cite it — a canonical entity home, Wikidata stewardship, earned media aimed at the outlets AI actually cites, disambiguation for generic-word product names, and per-market entity parity.

  Entity Authority

• Content & Answer Optimization

  Five projects that turn pages into units a model can trust and reuse — answer-first restructures with controls, a compatibility answer hub, semantic spec tables, documentation held to the same standard, and refreshes tied to the business calendar.

  Content & Answer Optimization

• AI Visibility Measurement

  Five projects that replace industry folklore with your own numbers — a journey-staged prompt corpus and baseline, a spec-hallucination audit, first-party citation data, a competitive share-of-voice benchmark, and time-to-citation curves you can defend to leadership.

  AI Visibility Measurement

• Multi-Surface Optimization

  Five projects for the surfaces beyond the open web — marketplace assistants, agentic checkout, the Bing/Copilot stack, market-tier sequencing, and the zero-click influence you can't see in a referral report.

  Multi-Surface Optimization