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Marketing

SEO vs AEO β€” what changes when AI eats search

A practical comparison of classic SEO and Answer Engine Optimization (AEO), and why mid-size teams need both.

wins citations inside an AI-generated answer. SEO rewards comprehensive, link-rich content. AEO rewards short, factual, standalone sentences. In 2026, you need both β€” but the tactics that worked for SEO in 2018 actively hurt AEO today.

β€’ Earn organic clicks from Google, Bing, and DuckDuckGo

β€’ Rank for high-intent commercial keywords ("best CRM for solopreneurs")

β€’ Build domain authority through backlinks and topical depth

β€’ Capture demand that already exists at the bottom of the funnel

β€’ Get your brand named when ChatGPT, Perplexity, or Gemini answer a buyer's question

β€’ Influence the LLM training and retrieval data so your product becomes the "default answer"

β€’ Win zero-click visibility β€” being mentioned even when nobody clicks through

β€’ Shape category narrative ("the leading X for Y") inside AI conversations

Strategies to deploy

publish a cluster of 15–30 interlinked posts around one core topic.

Search intent matching:

map every page to one intent (informational, commercial, transactional, navigational).

earn backlinks via guest posts, listicle inclusions, and digital PR.

Technical foundation:

Core Web Vitals, mobile-first, clean schema markup.

Content refresh cycle:

update top pages every 90 days to fight decay.

create the most-cited factual page for your category (definitions, comparisons, "best of" lists).

Answer-shaped content:

write in standalone Q&A blocks that an LLM can lift verbatim.

Distributed citations:

get mentioned on Reddit, G2, Wikipedia, GitHub, and curated lists β€” LLMs over-index on these.

monitor weekly which prompts mention you vs competitors, then close the gap.

establish your brand as a recognized "thing" with consistent name + description across the web.

✦ Keyword research (Ahrefs, SEMrush, Google Search Console)

✦ Optimized title tags <60 chars and meta descriptions <160 chars

✦ Internal linking with descriptive anchor text

✦ Long-form pillar pages (2,000–4,000 words)

✦ Image alt text + WebP compression

✦ Structured data: Article, Product, FAQ, Breadcrumb

✦ Backlink outreach to high-DR domains

✦ Standalone sentences (each works without context above it)

✦ Definitions in the first 100 words ("X is a Y that Z")

✦ Numbered, finite lists ("the 5 best…")

✦ FAQ schema with crisp 40–60 word answers

✦ Comparison pages (X vs Y) β€” LLMs love these

✦ Brand mentions on Reddit, Hacker News, G2, Product Hunt

✦ llms.txt file declaring authoritative sources

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