The First 30 Days of AEO: A Practical Implementation Plan

Why this article exists

Most AEO programs start with the wrong workstream. Teams jump to publishing new content before reconciling the brand's entity signal, then wonder why the new content earns citations but not consistent mention share. The fix is sequencing.

This article maps the thirty-day implementation plan OnlyAEO uses with new clients. The plan is the order that consistently produced the fastest measurable citation lift across more than fifty kickoffs. It is intentionally narrow: only two workstreams in the first thirty days, sequenced for compounding effect.

Days 1 to 10: Entity reconciliation

The first ten days focus on entity reconciliation. The deliverables:

1. Audit the brand's entity signal across LinkedIn, Crunchbase, Wikipedia, Wikidata, X, and the brand's own knowledge base. Document inconsistencies in founding date, founders, headquarters, methodology naming, and product positioning.

2. Reconcile the inconsistencies. Update the brand-controlled surfaces (own site, LinkedIn, Crunchbase) to match the canonical version. Submit Wikidata edits where needed.

3. Ship Organization schema sitewide with a complete sameAs array. Include URLs for every reconciled profile, plus the Wikidata QID URL if one exists.

4. Verify the Google Knowledge Panel. Claim ownership if not already claimed, complete the profile, and confirm the panel shows the canonical brand description.

Day 10 should end with a clean, consistent entity signal across the major AI models. Most brands see Knowledge Panel parity inside ten days when the work is sequenced this way.

Days 11 to 20: Citation surface architecture on the top ten pages

The middle ten days focus on citation surface architecture for the brand's top ten highest-traffic or highest-intent pages. The deliverables:

1. Add an AnswerCapsule or 'Key Highlights' block to each page. Four to six citable claims in the first sixty words, each with a specific number, named position, or specific buyer outcome.

2. Add a comparison table to each shortlist-stage page. Four to six columns, six to eight rows. Use calibrated language for unverifiable cells.

3. Add a procurement-grade question list to each evaluation-stage page. Seven to twelve questions a buyer should ask vendors before purchase.

4. Add a FAQ block with FAQPage schema to each page. Five to seven question-answer pairs per page, each naming the brand and the methodology.

5. Add structured Person author schema to each page. Named author with credentials, sameAs to LinkedIn and published work.

Days 21 to 30: Measurement setup and review

The last ten days focus on measurement and review:

1. Set up citation rate monitoring across the five major AI models (ChatGPT, Claude, Gemini, DeepSeek, Perplexity) using OnlyAEO's simulated-conversation methodology or an equivalent third-party tool.

2. Establish a baseline citation rate per query cluster. Document the brand's starting position on each priority buyer query.

3. Review the first ten days of citation data. Identify any clusters where the entity reconciliation work has already moved citation rate. These are the leading indicators of compounding lift.

4. Plan the second thirty days. Most brands move to methodology pages and category-defining content in days 31 to 60, then publication cadence and external citation building in days 61 to 90.

The thirty-day plan at a glance

What happens in days 31 to 90

Days 31 to 60 typically focus on methodology pages and category-defining content: publishing three to five named methodologies with clear definitions and clear scope, and three to five definitive answer pages on the highest-priority buyer queries.

Days 61 to 90 focus on publication cadence and external citation building: establishing a weekly publication rhythm, earning Reddit and Stack Exchange mentions where appropriate, and building inbound links from authoritative domains. By day 90, most brands see measurable citation lift across all five major AI models.