The complete LLM SEO playbook

LLM SEO: Rank in ChatGPT, Gemini & Perplexity

LLM SEO is how you get your brand recommended inside AI answers — not just ranked on Google. Here's the playbook, the ranking factors, and the tooling.

What is LLM SEO?

LLM SEO — also called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) — is the discipline of getting your brand cited inside answers from large language models. ChatGPT, Google Gemini, Perplexity, and Claude now mediate a growing share of buyer research. If they don't recommend you, you're invisible to a category of customers that no longer scrolls Google.

Unlike Google SEO, you're not chasing position #1 in a list. You're trying to be the brand the model names when a buyer asks for help.

The 5 LLM SEO ranking factors

These are the levers that consistently move citation rate across ChatGPT, Gemini, and Perplexity.

1. Entity & schema clarity

Organization, Product, FAQ, and HowTo schema tell LLMs exactly what you are. No schema = no entity = no recommendation.

2. Answer-shaped content

FAQ pages, comparison pages, and pillar guides that directly answer buyer questions in the first paragraph.

3. Third-party citations

LLMs trust mentions on sites they already trust — Reddit, G2, Wikipedia, established publications. PR-syndication links don't count.

4. Brand consistency

The same name, description, and category across your site, social profiles, listicles, and review sites.

5. Freshness & coverage

LLMs surface recent content faster than Google, especially Perplexity. A steady publishing cadence compounds.

Bonus: llms.txt

An emerging standard that gives LLMs a curated map of your most important pages. ZenRank generates one for you.

The LLM SEO workflow

  1. 1

    Audit current AI visibility

    Run buyer-intent prompts across ChatGPT, Gemini, and Perplexity. Record citations, sentiment, and which competitors win.

  2. 2

    Fix entity & schema

    Add Organization, Product, FAQ, and BreadcrumbList JSON-LD on every key page. Publish an llms.txt.

  3. 3

    Ship answer-shaped pillar pages

    One pillar per buyer question. First paragraph answers it. Tables, lists, and FAQ blocks throughout.

  4. 4

    Earn third-party citations

    Listicles, Reddit threads, G2 reviews, podcast appearances, HARO answers. Skip press-release distribution — LLMs ignore it.

  5. 5

    Track & iterate weekly

    Re-scan every week. Double down on the prompts where you're climbing. Cut content that earns no citations.

LLM SEO — FAQ

Stop guessing. Start tracking.

ZenRank automates the LLM SEO workflow above — audit, schema, content, citations, weekly tracking — for $89/month.