---
title: AEO Workbook
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In 2020, a buyer typed a category keyword into Google and clicked through several sites. In 2026, that same buyer opens ChatGPT and asks for a recommendation. They may never click a site at all. If AI does not mention your customer's brand, they are invisible - and most customers do not know it yet.

60%

of searches end without a click

27%

YoY drop in organic traffic cited in the workbook

4.4x

higher conversion on answer-engine traffic vs. other sources

> SEO is the sign in the window. AEO is the line of people out the door. AI does not just read your sign - it looks at the crowd, the critics, and the local guides.

#### The old playbook - SEO alone

- **Goal:** Rank #1 on Google
- **How:** Optimize site -> rank -> clicks
- **Metric:** Traffic and rankings
- **What matters:** Your website
- **Sources:** Website (100%)

#### The new reality - AEO on top of SEO

- **Goal:** Be recommended by AI
- **How:** Build consensus across channels and structure content for extraction
- **Metric:** Brand mentions and citations in AI answers
- **What matters:** Semantic depth and cross-channel presence
- **Sources:** Website (5-8%) plus LinkedIn, Reddit, reviews, YouTube, and news

The biggest misconception customers bring in is that AEO replaces SEO. It does not. Large language models still use search engines and structured discovery signals to find what they may cite. A strong AEO strategy depends on a strong SEO foundation plus a semantic layer that helps models understand expertise.

Layer 3

#### AEO - The surface

What the world sees

Brand visibility and citations across ChatGPT, Perplexity, Gemini, and other answer engines. This layer includes answer-first content, off-site consensus, and citation measurement.

Prompt trackingCitation shareCross-channel presenceSentiment

powered by

Layer 2

#### Semantic foundation - The connective tissue

How LLMs understand who is the expert

Topic clusters, semantic triples, entity clarity, internal linking, and schema markup create the relational graph that tells AI who owns a topic.

Topic clustersSemantic triplesEntitiesSchemaInternal linking

powered by

Layer 1

#### SEO - The runway

If Google cannot find you, neither can ChatGPT

Crawlability, clean markup, metadata, performance, and page hierarchy still compound. SEO is no longer the finish line, but it remains the access path.

Technical SEOKeyword researchOn-pageBacklinksCore Web Vitals

> Any work we put into SEO is not for naught. The playbook did not replace SEO - it added two layers on top.

This is why HubSpot has a stronger AEO narrative than most competitors: topic clusters and structured semantic authority were already part of the playbook. The surface layer is new. The foundation is not.

### 1. Most of what AI weighs happens off your website

Your customer's website is only part of what AI considers. The rest lives across LinkedIn, Reddit, reviews, news, YouTube, podcasts, and comparison content.

Website · 5-8%Everywhere else · 92-95%

### 2. AI looks for consensus, not claims

One source saying a brand is the best is not enough. Models want repeated confirmation from independent sources.

### 3. Topic clusters are how LLMs decide who is the expert

Pillar pages, spoke content, and strong internal linking signal depth of coverage and authority.

### 4. Semantic triples make content citable

Plain subject-predicate-object statements are easier for models to lift as facts and connect to buyer intent.

### 5. Answer-first architecture beats keyword-stuffed copy

Use question-led titles, direct opening answers, and short sections that are easy to extract into AI responses.

### 6. Schema is the machine-readable layer under all of it

Schema helps distinguish facts, organizations, products, and FAQ structures. It is a compounding semantic signal.

### 7. Internal linking is how agents actually traverse the site

Internal links are not just navigation. They help crawlers and models understand relationships between entities and pages.

### 8. Low visibility and bad sentiment are different problems

A brand can be mentioned often and described poorly, or rarely and described glowingly. Those need different fixes.

### 9. AEO traffic is smaller but much hotter

When AI has already done the research, the buyer often arrives more qualified and further down the funnel.

### 10. Insights without action are just a dashboard

HubSpot's wedge is that the recommendation can connect directly to content, SEO, social, email, and CRM-backed execution.

Pick an account you are working on. Check the symptoms they have mentioned or that show up in their data. Reps who diagnose the stack - not just the AEO surface - become trusted advisors.

**Organic traffic is down YoY, but rankings have held steady or improved**A classic AEO signal - buyers may still be searching, but they are no longer clicking.

**Leads have dropped even though content volume has grown**More content alone does not fix discoverability if the content is not cited or trusted.

**The blog is scattered with no pillar pages or topic cluster structure**This is usually a Layer 2 authority gap.

**Pages lead with marketing copy instead of a direct answer**The page is harder for answer engines to extract.

**There is little or no schema markup across the site**Machine-readable context is missing from the semantic layer.

**They are losing deals to competitors they barely know**AI may be recommending someone else before the buyer ever lands on the site.

**Buyers are showing up already decided and further down the funnel**This often signals answer-engine influence on the journey.

**They want to solve AI discoverability with a redesign alone**A redesign only affects a small slice of the total signal.

**Their category has active Reddit, review, or comparison discussion**That off-site consensus layer can be a high-leverage opportunity.

**They are already on Marketing Hub Pro or evaluating it**AEO becomes part of the broader platform differentiation story.

0/10

Check the symptoms that match the account.

Use the toggles to show how a generic opening becomes easier to cite. This mirrors the kinds of changes called out in an AEO audit.

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**Title as a question**Match how buyers actually ask, rather than starting with a generic product name.

**Answer-first opening**Lead with a direct, concise answer before any marketing copy.

**H2s as follow-up questions**Each section header should reflect a real follow-up question from the buyer.

**Semantic triples**State the relationship between product, benefit, and qualifier explicitly.

**Schema markup**Machine-readable schema makes the page easier to classify and extract.

This rewrite pattern is designed to show the exact moves an audit recommends: question-led titles, answer-first openings, follow-up headers, semantic triples, and schema support.

Prompts are the input. Good prompts are specific to the ICP, conversational, category-aware, and written in the buyer's language and location.

#### Your turn - draft a prompt

Imagine an ICP for an account of yours. What would that buyer type into ChatGPT when shopping?

At least 10 words - specific, not a one-word keyword

Phrased as a question or request

Includes an ICP signal such as team size, industry, region, or use case

Mentions the category or job-to-be-done, not just a brand

#### Good vs. not-so-good

Good

What's the best marketing automation platform for a 200-person B2B SaaS company that already uses HubSpot CRM?

Good - non-English ICP

Cual es el mejor CRM para una agencia de viajes en Espana con 15 empleados?

Avoid

best crm software

Avoid

is HubSpot good

> The more CRM data a customer has in HubSpot, the smarter prompt suggestions get. That business context is what standalone point tools cannot match.

When AEO surfaces a gap, the fix rarely lives only at the AEO layer. Most real fixes live in Layer 1 or Layer 2, and that is where HubSpot's insight-plus-action story becomes tangible.

| Gap | Which layer | HubSpot tool |
| --- | --- | --- |
| Pages load slowly, have thin metadata, or broken heading hierarchy | Layer 1 \| SEO | SEO Recommendations, Content Hub, Website Pages |
| Scattered blog content with no pillar page or authority signal | Layer 2 \| Topic clusters | Content > SEO > Topic Clusters, Content Editor |
| Pages do not answer questions directly | Layer 2 \| Answer-first | Content Editor, Breeze Assistant, Blog |
| No FAQPage, Article, or Organization schema | Layer 2 \| Schema | CMS custom HTML, schema markup, Breeze content prompts |
| Brand is described inaccurately across channels | Layer 3 \| AEO | AEO recommendations, Brand Voice, Social |
| Competitors dominate Reddit or comparison threads | Layer 3 \| Off-site consensus | Social tool and coordinated publishing |
| AEO traffic arrives but there is no nurture path | Layer 3 \| Activation | Campaigns, Email, Workflows |
| Support handles repetitive questions AI could answer | Layer 3 \| Knowledge | Customer Agent and Knowledge Base |

### Your turn - match the gap to the tool

Pick the HubSpot tool you would reach for first in each scenario.

Customer blog has years of posts but no pillar pages or internal cluster linking

Pick a HubSpot tool...Topic Clusters + Content EditorAdsMeetingsQuotes

Pages open with marketing copy instead of a 2-sentence answer

Pick a HubSpot tool...WorkflowsPlaybooksContent Editor + Breeze AssistantLead Scoring

Site has no FAQPage, Organization, or Article schema

Pick a HubSpot tool...ChatflowsCustom ObjectsCMS custom HTML + schema + SEO RecommendationsForms

Competitors dominate Reddit threads in the category

Pick a HubSpot tool...Knowledge BaseSocial toolAdsForms

If you can answer these without looking up, you are ready to diagnose on a live call.

#### 1. A customer says 'AEO is replacing SEO, so we should stop SEO work.' Best response?

They are right; SEO is dead.

LLMs still use search and discoverability signals. No SEO foundation, no reliable AEO surface.

Focus only on Reddit and YouTube now.

Wait until AEO data comes in before touching SEO.

#### 2. Why are topic clusters especially powerful for AEO?

They mainly help with backlink outreach.

They create depth of coverage and a relational graph that helps AI identify authority.

They improve page load time.

Google penalizes sites without them.

#### 3. What is a semantic triple?

A trio of keywords placed in metadata.

A three-layer schema nesting pattern.

A plain subject-predicate-object statement that models can lift as a fact.

Three related blog posts linked together.

#### 4. Roughly how much of the recommendation signal comes from the brand's own site?

~5-8%

~35-40%

~70-75%

100%