AEO GEO LLMO built into every article
AEO + GEO + LLMO + classic SEO — one pipeline, every article. Drop a domain, get an editorial team that ships citation-shaped content for the AI answer layer without giving up Google rank.
60 seconds to first headline · No CMS migration · Headless on any framework
AEO · GEO · LLMO · and the rest
"AI SEO" isn't one thing — it's a stack of overlapping optimization targets. Here's the short version, ordered by how much each moves the needle today. Tap any acronym for the full definition and how Mentionwell handles it. Every article we publish is tuned for all of them at once.
Answer Engine Optimization (AEO) is the practice of structuring content so it surfaces as the direct answer in answer engines — Google AI Overviews, Bing Copilot, Perplexity, voice assistants, and featured snippets. Where SEO optimizes for the blue-link list, AEO optimizes for the box that shows the answer above it.
Read the full AEO definition →Generative Engine Optimization (GEO) is the newer term — coined in a 2023 Princeton paper — for optimizing toward generative engines like ChatGPT Search, Gemini, Perplexity, and Grok, where the model synthesizes an answer and cites a handful of sources. The goal of GEO is being one of those cited sources.
Read the full GEO definition →LLM Optimization (LLMO) is the practice of making your content reachable, parseable, and trustworthy to the LLMs themselves — at both training time (large-scale crawls) and retrieval time (RAG pipelines, browsing tools, agent crawlers like GPTBot, ClaudeBot, and PerplexityBot). LLMO is the plumbing layer that AEO and GEO sit on top of.
Read the full LLMO definition →Search Engine Optimization (SEO) is the original discipline: ranking in the blue-link results of Google and Bing. It's still the largest single source of traffic for most sites and the foundation that AEO, GEO, and LLMO are layered on top of. AI didn't kill SEO — it just added new surfaces above it.
Read the full SEO definition →AI Optimization (AIO) is an umbrella term sometimes used interchangeably with LLMO or GEO. In practice, when someone says "AIO" they mean the bundle of AEO + GEO + LLMO — the combined practice of optimizing for any AI-mediated surface. It's not a separate channel; it's the whole stack.
Read the full AIO definition →SGE optimization originally targeted Google's Search Generative Experience — the experimental AI-generated answers Google launched in 2023. SGE has since been folded into Google AI Overviews, so SGE optimization is now largely a subset of AEO, with a Google-specific tilt.
Read the full SGE definition →AI Search Optimization (AISO) is a rarer enterprise term that overlaps almost completely with GEO and LLMO. It's mostly used in B2B / enterprise content marketing pitches. If you're optimizing for AEO, GEO, and LLMO, you're already covering everything AISO refers to.
Read the full AISO definition →How it works
Drop a domain. We scan the homepage, sitemap, robots.txt, and structured data, then synthesize a brand profile, content taxonomy, and 10 starter headlines tuned to your audience and the questions AI engines are already asking.
Articles run through research, outline, draft, editorial critic, metadata, FAQ, embedding, and image generation — with explicit AEO and GEO passes that tighten the lead, surface the answer, and tag every claim for citation.
Pull from Mentionwell's public API on every request, or push articles into WordPress, Webflow, Ghost, Shopify, or Notion. Same articles, same dashboard, your choice of delivery.
Every article ships with RSS, JSON Feed, sitemap, FAQPage + Article schema, a per-page .md mirror, and a site-wide llms.txt — so ChatGPT, Claude, Gemini, Grok, and Perplexity can ingest it cleanly.
Frequently asked
Quick answers grounded in the same definitions Mentionwell enforces on every article. Every Q is in the FAQPage JSON-LD too, so AI engines can lift the answer cleanly.
AEO is the practice of structuring content so it gets surfaced as the direct answer in answer engines — Google AI Overviews, Bing Copilot, Perplexity, voice assistants, and featured snippets. Mentionwell handles AEO through question-led headings, concise lead paragraphs, FAQ blocks, and FAQPage / HowTo / Article JSON-LD on every article.
GEO (a term coined in a 2023 Princeton paper) is optimization for generative engines — ChatGPT Search, Gemini, Perplexity, Grok — where the model synthesizes an answer and cites sources. The goal is being one of the cited sources. Mentionwell ships citation-friendly structure, evidence-backed claims, original data points, and per-article .md URLs that generative engines can ingest cleanly.
LLMO makes your content reachable, parseable, and trustworthy to LLMs themselves — both at training time and at retrieval time (RAG, browsing tools, agent crawlers like GPTBot, ClaudeBot, PerplexityBot). Mentionwell ships a site-wide llms.txt, per-article .md mirrors, stable canonical URLs, RSS + JSON Feed, embeddings, and an explicit AI crawler allowlist.
AEO targets the answer surface (the box that shows the direct answer); GEO targets the generative surface (the LLM that writes a synthesized response and cites sources); LLMO targets the model and its crawlers (so the content is reachable, ingestible, and chosen). They overlap heavily — Mentionwell optimizes for all three plus classic SEO at the same time.
No. Classic SEO (Google blue-link rankings) is still the largest single source of traffic for most sites. Mentionwell layers AEO, GEO, and LLMO on top of full SEO — keyword research, internal linking, title and meta tuning, sitemaps, Article schema, image alt text, page speed, and an editorial critic pass on every draft.
ChatGPT, Claude, Gemini, Grok, Perplexity, Microsoft Copilot, and Google AI Overviews. The crawler allowlist explicitly permits GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, Claude-User, Claude-SearchBot, anthropic-ai, PerplexityBot, Perplexity-User, Google-Extended, Applebot, Applebot-Extended, Bingbot, CCBot, Meta-ExternalAgent, Amazonbot, Bytespider, and cohere-ai.
Wherever you want. Mentionwell is headless: pull articles from the public read-only API on every request (or revalidation), or push articles into WordPress, Webflow, Ghost, Shopify, or Notion. Every article also gets RSS, JSON Feed, sitemap, FAQPage + Article JSON-LD, a per-page .md mirror, and a site-wide llms.txt for AI ingestion.
Mentionwell is built by ZipLyne (ziplyne.agency) — an AI-product agency that builds AI-powered products and business automation. Mentionwell came out of internal tooling that ZipLyne now ships as a standalone product.
Ready?
One domain field, ~60 seconds, ten headlines. Then approve the first one and watch the pipeline run end-to-end in real time — every article shipped optimized for answer engines, generative engines, LLMs, and Google.