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The first sixty days of an AEO engagement are disproportionately important. Not because that’s when you’ll see results — you probably won’t, and any agency promising otherwise is either measuring something superficial or setting you up for disappointment. But because the quality of the foundation laid in those first two months determines almost everything about what comes after.
A well-structured onboarding builds the baseline, identifies the priorities, establishes the methodology, and sets the communication rhythms that will sustain the engagement. A poorly structured onboarding produces a generic content calendar and a few schema tweaks that don’t compound into anything meaningful.
Here’s what a genuinely rigorous first sixty days should look like.
Days 1–15: Deep Discovery and Baseline Assessment
The first thing a real AEO agency should want to do is understand your business before they do anything else. Not just your website — your competitive landscape, your target audiences, the specific questions your customers are asking at each stage of their decision journey, and the topics you’re trying to own in AI-generated answers.
This is also when the baseline assessment happens. Before any optimization work begins, you need to know exactly where you stand.
AI citation footprint mapping. What topics and queries is your brand currently being cited for in major AI tools — ChatGPT, Perplexity, Gemini, Claude, Bing AI? Where are you absent? Where are your competitors showing up instead of you? This should be a structured, documented analysis, not a casual browse.
Entity and structured data audit. How is your brand currently represented in the structured knowledge layer? Is your Wikidata entry current and complete? What schema markup exists on your site, and is it properly implemented? Is your entity data consistent across major directories and platforms?
Content architecture review. What content do you currently have in your target topic areas? How is it structured? Is it formatted in ways that AI retrieval systems can cleanly extract? Where are the gaps in your topical coverage?
External authority assessment. What third-party sources currently mention, cite, or link to your brand in the context of your target topics? How does this compare to your primary competitors?
By day fifteen, you should have a detailed, documented picture of your current state across all four of these dimensions.
Days 15–30: Strategy and Roadmap Development
With the baseline in hand, the next phase is building the strategy — not a generic plan, but a prioritized roadmap specific to your brand’s gaps and opportunities.
Good prioritization at this stage typically involves identifying which investments will have the greatest near-term impact and which are foundational prerequisites for later work. Entity cleanup and schema markup, for instance, is usually early-priority foundation work — because everything else builds on it. High-effort content creation around low-competition query spaces might come later.
By day thirty, you should have:
A prioritized list of entity and structured data fixes, with timelines for implementation. A content architecture plan that identifies the specific topic gaps to address and the formats and structures to use. An external authority plan that identifies target publications, partnerships, and citation-building opportunities. A measurement framework that specifies what you’ll track, how, and at what frequency.
This roadmap should be a real working document, specific enough to execute against — not a slide deck of vague strategies.
Days 30–60: Foundation Implementation
The second month is where actual work begins — but it should be primarily foundation work, not visible content output.
Entity and technical implementation. Schema markup, Wikidata updates, entity data consistency fixes across directories and platforms. This is unsexy work. It’s also critically important, because it’s the structural layer that everything else relies on.
Existing content restructuring. Before creating new content, the highest-value move is often restructuring what already exists. Adding FAQ sections to key pages. Improving heading structure. Creating cleaner definitions for core concepts. Making existing authoritative content more AI-extractable.
Initial external outreach. Beginning the editorial placement and research citation processes that will build external authority signals over time. This takes months to produce results, so starting early matters.
Measurement infrastructure. Setting up the tracking and reporting systems that will allow you to monitor progress over the engagement — including the AI citation monitoring, brand mention tracking, and Search Console setup for AI Overview data.
What Good Communication Looks Like
One thing that separates genuinely well-run AEO engagements from frustrating ones is communication structure.
Hire AEO agency relationships that work typically have clear, consistent rhythms: weekly or biweekly check-ins during the active implementation phase, monthly reporting that documents what was done and what changed in the citation footprint, and ongoing availability for questions.
The reporting should be specific: here’s what we implemented, here’s the before and after on your entity data, here’s how your AI citation footprint has changed since baseline. Not “we wrote five blog posts” — what was the strategic intent behind each piece, and what query space were they targeting?
Red Flags in the First 60 Days
Some early-warning signs that an AEO engagement is off track:
The agency jumps straight to content creation without completing a baseline assessment. If they don’t know where you started, they can’t demonstrate progress.
The deliverables are primarily generic blog content without clear connection to a citation strategy. Content for content’s sake isn’t AEO.
Schema and entity work isn’t happening. If the technical foundations aren’t being addressed in the first thirty days, ask why.
The communication is thin or vague. If monthly reports are arriving and you don’t know what was done or what changed, escalate immediately.
Setting Expectations for Months Three and Beyond
The first sixty days are foundation. The compounding starts after.
Most AEO engagements see meaningful movement in AI citation footprint between months three and six, depending on the category and the starting point. Competitive categories take longer. Brands with strong existing authority foundations move faster.
AEO optimization services relationships that are structured well from the start tend to sustain momentum through this early period — because there’s a documented baseline to measure against, a clear strategy to execute, and a communication rhythm that keeps both sides aligned on progress and priorities.
Get the first sixty days right, and you build the conditions for everything else to work. Rush past them, and you’re building on uncertain ground.