New

Everything you need to scale smarter with Fixly.

Get Started
xly
Back to blog

AI in marketing

AEO, GEO, AI visibility: the new acronym soup explained (without jargon)

Everyone in marketing is throwing these around. Here's what each actually means and which ones deserve your budget.

SMShivay Mehra··8 min read

The new acronyms everyone''s dropping

Every SEO conference in 2026 is drowning in new acronyms:

  • AEO (Answer Engine Optimization)
  • GEO (Generative Engine Optimization)
  • AIO (AI Optimization)
  • LLMO (Large Language Model Optimization)
  • AI Visibility

Are these all the same thing? Different things? Marketing fluff?

Here''s the honest breakdown.

The short answer

They''re all describing one thing: optimizing your content to appear in AI-generated answers, not just Google''s blue links.

The acronyms differ in emphasis:

  • AEO: emphasis on the answer engine (think Google''s AI Overviews, Perplexity, ChatGPT). Your page is being mined for a direct answer.
  • GEO: emphasis on generative engines — the AI that generates responses from your content. Broader than just answer engines.
  • AIO / LLMO / AI Visibility: mostly synonyms. LLMO is more technical; AI Visibility is more business-framed.

If someone pitches you a "GEO strategy" vs an "AEO strategy" and charges you differently for each — run. They''re the same work, different labels.

What they all actually mean in practice

All of these boil down to 5 concrete practices:

1. Write content that answers questions clearly

Not "SEO content with keywords." Clear, specific, answer-shaped content. "What is X? X is Y, because Z." Direct, unambiguous, citable.

LLMs reward directness because they''re optimizing for the confidence of their own answer. If your page says "X is Y" with conviction, the LLM can cite you. If your page meanders, the LLM skips you.

2. Use structured data

FAQPage, HowTo, Article, Product, Organization schema. Done well, these make your content machine-readable. Done poorly, they''re noise. Most sites get this partially right and could improve 20% by tightening.

3. Build topical authority

LLMs trust sites that cover a topic deeply, not sites that mention a topic once. If you''re the SEO tool that wrote one post about "what is an SEO audit?" you''re invisible. If you''re the SEO tool with 15 posts across the audit topic cluster + a canonical landing page, you''re the answer.

4. Get cited by authoritative sources

LLM training data heavily weights mentions from trusted sites (news, G2, Capterra, established blogs). Getting mentioned in a "top 10" post on a DR 80 site is worth more in AI visibility than 10 backlinks from DR 30 sites.

5. Be opinionated + specific

Generic blog posts are invisible to LLMs — they look like what the LLM would have written itself. Specific, opinionated, example-heavy content from a real person gets mentioned because it adds signal the model couldn''t generate alone.

What none of this is

It''s not a different discipline than SEO

The underlying moves (good content, structured data, topical authority) are the same moves that make you rank on Google. AI engines are just a new consumer of those signals.

It''s not a tool you buy

Anyone selling you a "GEO platform" for $500/mo is charging you for re-framing existing best practices. The work is the same work.

It''s not a reason to abandon SEO

Google still drives the majority of B2B purchase research. AI is a growing layer, not a replacement. Optimize for both.

The metrics to track

If you want to take AI visibility seriously (and you should), track:

  1. Mention rate on target prompts. Pick 50 buyer questions. Run them through ChatGPT, Perplexity, Gemini. Count mentions. Repeat monthly.
  2. Citation frequency in AI Overviews. Google''s SGE/AI Overviews show cited sources. Are you in them?
  3. Share of voice within category prompts. When asked "best X for Y", what % of prompts mention you vs your top competitor?

Track this inside Fixly or use a dedicated AI-visibility tool. Either way, start tracking — this is the metric your CMO will ask about next quarter.

The pragmatic path

For most teams, the right move is:

  • Keep doing SEO the way you''ve been doing it (it still works)
  • Add 2 things: schema hygiene + opinionated long-form
  • Track AI visibility monthly alongside keyword rankings
  • Don''t pay a premium for "GEO consulting" when the work is just good SEO + content

The teams that will win AI visibility in 2026 are the same ones that won SEO in 2020: the ones who publish consistently, structure their content well, and have a clear category position. The acronym doesn''t matter. The discipline does.

Run a content audit that checks schema, topical depth, and content cluster coverage — the three things that compound for AI visibility + traditional SEO simultaneously.

Similar blogs

More from Fixly — starting with posts in “AI in marketing”, then other recent guides.

Get our weekly growth playbook

What we shipped, what we learned, what's worth trying — every Monday.

Join 2,100+ growth teams

Follow us on