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PlaybookMar 202612 min read

The Enterprise AEO Maturity Model

H
Hema TeamPublished Mar 2026

4 stages from invisible to dominant. Find your current stage, understand the gap to the next, and know exactly what your team should prioritise this quarter.

Start at Stage 1 and work forward. You're in the highest stage where all characteristics apply. Most organisations are in Stage 2 — tracking exists but content and technical fixes are ad-hoc.

Stage 1 — Invisible (Visibility Score: 0–20)

AI crawlers can't access your site. No tracking. No strategy.

Characteristics — you're here if all of these apply

What's happening

AI crawlers may not be able to read your site at all, or they can read it but have no structured data to extract. When users ask AI about your product category, you're absent from the answer entirely — your competitors fill that space by default. You may have excellent Google SEO rankings and still score under 20 on Hema's AI Readability audit.

Team structure at this stage

No dedicated AEO ownership. SEO team, if one exists, is focused entirely on Google. Leadership is not yet aware AI search is a distinct channel with distinct requirements.

Key metrics

What to do first

Run your first Hema Site Audit. Fix every Critical issue — these are usually 1–3 changes that unlock the majority of your score improvement. Set up your first 10 prompts covering your core product queries and 3 competitor comparisons. You should see your Visibility Score cross 20 within 2 weeks of fixing Critical issues.

Stage 2 — Reactive (Visibility Score: 20–40)

Tracking exists. Critical issues are fixed. Content is ad-hoc.

Characteristics

What's happening

You're visible to AI crawlers but inconsistently cited. You appear in some AI answers but not the ones that matter most — the comparison queries and category-defining prompts where purchase decisions are made. Content is published when someone notices a specific gap, not as part of a systematic calendar. Schema exists on some pages but is incomplete across the site.

Team structure at this stage

One person owns AEO — usually an SEO specialist or content marketer who took it on alongside their existing role. No dedicated budget. Fixes happen when bandwidth allows.

Key metrics

What to do next

Establish a content calendar — minimum 2 AEO-structured articles per month. Resolve all High severity audit issues (not just Critical). Expand tracking to 60–100 prompts covering all product lines, all competitor comparisons, and 3 location variants. Add Knowledge Base with brand guidelines so every generated article stays on-voice.

Stage 3 — Intentional (Visibility Score: 40–65)

Regular publishing. SoV tracked. Competitors benchmarked.

Characteristics

What's happening

Your brand appears consistently in AI answers within your category. You're tracking Share of Voice against competitors and seeing a gradual upward trend. Content is published on a schedule and directly addresses the queries your customers use. Pipeline attribution is partially closed — you can see which companies are arriving from AI platforms. The next gap is in domination: you want to be the first recommendation, not just a mention.

Team structure

Dedicated AEO ownership with cross-functional support from content, dev, and analytics. Quarterly planning sessions that include AI visibility targets alongside SEO targets. Leadership visibility on Visibility Score as a KPI.

Key metrics

What to do next

Focus on the comparison queries where a competitor is still beating you. Run "Vs." article campaigns for your top 5 comparison queries. Expand to additional AI platforms (Gemini, Claude, Copilot on Business plan). Track Source Domain analytics — identify which publications AI is citing in your category and pursue coverage there. Expand Knowledge Base with detailed product specs and competitor differentiators.

Stage 4 — Dominant (Visibility Score: 65+)

First recommendation. Pipeline closed. Category-defining.

Characteristics

What's happening

Your brand is the answer. When a prospect asks ChatGPT for the best tool in your category, your name comes first — consistently, across platforms, in multiple markets. AI-attributed traffic is a measurable percentage of inbound pipeline. Competitors are trying to catch up to a position you've been building for 12+ months. The work now is maintenance, expansion into new markets and use cases, and defending the moat you've built.

Team structure

AEO is owned by a dedicated function with budget, headcount, and executive sponsorship. Content team publishes 8+ AEO articles per month. Technical SEO team maintains schema health. Analytics team tracks AI-attributed revenue as a primary demand gen channel.

Key metrics

What to do now

Expand into new product categories, new markets, and new languages. Monitor emerging AI platforms (DeepSeek, Grok) early before competitors establish positions there. Use Query Fanout data to identify category expansion opportunities — new topic clusters where your brand can establish early authority. Build thought leadership content that trains AI models to associate your brand with category expertise, not just product features.

Run your free Hema audit and see your Visibility Score across all 6 modules in 60 seconds. Find out which stage you're in at tryhema.com.

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