Answer Engine Optimization

The new playbook
for being chosen.

AEO is how you get your content quoted by ChatGPT, cited by Perplexity, surfaced in Google AI Overviews, and grounded by Claude and Gemini. It's the layer between traditional SEO and the AI tools your customers now use to find answers.

Claim Your Free Month The Four Pillars
No contracts First month free Cancel anytime
The Basics

What is Answer
Engine Optimization?

Short version: AEO is the practice of structuring your content so that AI answer engines can find it, understand it, and quote it when answering a user's question. SEO helps you rank. AEO gets you cited.

AI Answer Engine Response

When choosing a commercial roofing contractor, there are several important factors to consider before signing any agreement...

According to yourbrand.com: "The three most critical factors are licensing verification, insurance coverage limits, and documented warranty terms. Each directly impacts long-term risk."

Additional sources include industry associations and third-party review platforms that aggregate contractor performance data...

You stop ranking. You start getting quoted.

In an AI answer, there's no list of 10 blue links. There's one paragraph — and a citation. AEO is how you make sure that citation is yours.

It's the source, not the click, that matters.

When ChatGPT or Perplexity quotes you, most users never click through. But your brand becomes the authoritative source — shaping buying decisions before a sales call.

Traditional SEO playbooks miss it entirely.

Keyword density, backlink counts, and H1 tag optimization don't get you into an AI answer. Entity structure, citation-ready paragraphs, and schema do.

SEO vs AEO

Two different games.

They share a lot of fundamentals. But the goals, the tactics, and the definition of "winning" are different enough that treating them as the same will cost you visibility in the AI-first era.

Traditional SEO
Rank the page.

Built for a world where your goal was to get to page one of Google. Success was measured in clicks, sessions, and average position.

  • Keyword density and meta tags
  • Backlink count as the primary trust signal
  • Long-form "pillar pages" optimized for a single head term
  • Success metric: rankings and organic traffic
  • Optimized for human scanners (headings, bullets, TL;DRs)
Answer Engine Optimization
Be the answer.

Built for a world where AI models write the answer and cite the source. Success is measured in citations, quoted passages, and referral from AI tools.

  • Entity-based architecture and topic clusters
  • Original data, direct quotes, and source-ready paragraphs
  • Structured schema that AI models read first
  • Success metric: AI citations and brand mentions in LLM outputs
  • Optimized for machine readers (entities, claims, citations)
The Four Pillars

The AEO playbook,
broken down.

These are the four layers we apply to every piece of content we ship — and the same ones you should be thinking about whether you work with us or not.

PILLAR 01

Citation-Ready Content Blocks

AI models quote concise, self-contained paragraphs that answer a specific question. Every post we publish includes a handful of these "quotable units" — structured, sourced, and formatted for extraction.

  • 2–4 sentence answer paragraphs per H2 section
  • Direct claims, not throat-clearing
  • Original statistics and quotes where possible
  • Source links that AI crawlers can verify
PILLAR 02

Entity-Based Architecture

AI models don't think in keywords. They think in entities — people, places, things, concepts — and the relationships between them. We structure your content so those entities and relationships are unmistakable.

  • Explicit entity definitions and relationships
  • Topic clusters that build topical authority
  • Internal linking that reinforces entity graphs
  • Consistent naming across pages and posts
PILLAR 03

Advanced Schema Markup

Schema.org JSON-LD is the machine-readable label AI engines read first. We layer Article, FAQ, HowTo, and custom schema on every post so answer engines know exactly what they're looking at.

  • Article schema with author + publisher data
  • FAQ schema matching real user queries
  • HowTo schema for step-based content
  • Custom schema for product, service, and dataset pages
PILLAR 04

Conversational Query Targeting

People don't type the same way they talk to AI. A Google search is "best CRM 2026"; a ChatGPT query is "what's the best CRM for a 5-person sales team using HubSpot for email." We optimize for the way people actually ask.

  • Natural-language question mining from AI tools
  • Long-tail, conversational H2/H3 structure
  • Context-aware answers (not generic one-liners)
  • Intent segmentation: informational, comparative, transactional
Coverage

Every answer engine,
covered.

We optimize for all of them — because your customers are using all of them. Each engine has its own quirks, and our process accounts for the differences.

Google AI Overview
SGE · GenAI Search

The biggest fish. Google's AI Overview now appears on 60%+ of informational queries, pushing traditional results down the page. We target the source selection signals Google's AI uses to decide who gets cited above the fold.

ChatGPT
OpenAI · Search + Browse

ChatGPT's browse and search features pull live sources into answers. Our content is structured to be extracted cleanly, with clear citations and concise answer paragraphs that match the way ChatGPT synthesizes responses.

Perplexity
AI Answer Engine

Perplexity is the most citation-first of the bunch — every answer lists its sources prominently. We optimize content structure and authority signals to land in those source lists consistently across query types.

Claude
Anthropic · Artifacts

Claude emphasizes nuance, source credibility, and thoughtful synthesis. Our editorial layer — where humans rewrite AI drafts for voice and accuracy — lands particularly well with the way Claude weights source quality.

Gemini
Google · Multimodal

Google's Gemini leans heavily on grounding — checking claims against live web sources before answering. Our schema and entity architecture is built to be exactly the kind of structured signal Gemini's grounding layer looks for.

Whatever's next
New models, same rules

New answer engines launch every quarter. The fundamentals — citation-ready content, entity structure, schema, conversational targeting — transfer cleanly to each one. We update our playbook as the landscape evolves; your content stays in sync.

Questions

AEO, answered.

The things marketers, founders, and SEO teams ask us most when they're evaluating whether AEO is worth the time.

Do I still need traditional SEO?
Yes — but think of SEO as the foundation and AEO as the layer on top. The technical basics (crawlability, site speed, mobile, on-page structure) still matter. AEO extends that foundation to cover how AI models read and cite your content. We handle both.
How do you measure AEO success?
Three ways: (1) tracking when your content gets cited by AI Overviews, ChatGPT, Perplexity, and others — we monitor a sample of target queries monthly; (2) measuring referral traffic from AI tools via UTM patterns and analytics; (3) watching for brand mentions in AI outputs even without clicks. Your monthly brief includes all three.
What happens when AI models change their algorithms?
The underlying fundamentals — entity structure, citation-ready content, schema — are what AI models need to understand and trust content, and that doesn't change when a model version bumps. We monitor the AEO landscape continuously and adjust tactics as specific engines evolve. You get the updated playbook automatically.
Can I do AEO in-house?
Absolutely — and for some teams with strong content ops, it makes sense. The hard parts are: (1) running research across multiple AI tools consistently, (2) keeping schema and technical SEO tight at scale, (3) maintaining editorial quality as output volume grows. If any of those are stretches for your team, that's where we fit in.
How long until I see AI citations?
Faster than traditional SEO. Well-structured AEO content often starts appearing in ChatGPT Search, Perplexity, and Google AI Overviews within 2–4 weeks of publishing — sometimes in days. Traditional keyword rankings still take 60–90 days to compound. You usually see AEO wins first.
What kinds of content work best for AEO?
Anything where users are asking questions AI can answer: how-tos, comparisons, definitions, best-of lists, decision frameworks, industry explainers. Pure brand content (mission pages, about-us copy) benefits less directly — those matter for SEO and trust, not AEO citations.
Does AEO help with EEAT and Google's quality signals?
Yes, meaningfully. EEAT (Experience, Expertise, Authority, Trust) overlaps heavily with what AI answer engines look for: clear authorship, sources, structured claims, and topical authority. Doing AEO well tends to strengthen your EEAT signals as a side effect.
Is AEO just "schema markup"?
No — schema is one pillar of four. You can have perfect schema and still get ignored by AI models if your content is thin, your entities are muddled, or your answers aren't formatted for extraction. Real AEO is schema + structure + content + query targeting, all working together.

Get cited.
Get chosen.

Your first month is on us. See what full AEO treatment looks like — on your own content, with your own audience, before you spend a dollar.

Claim Your Free Month →