# Mentionwell — AEO, GEO & LLMO blog engine

> Evidence-driven publishing for SEO and AI recommendation visibility. Mentionwell separates explicit recommendations from brand mentions and source citations, then measures what changes after publication.

Drop a domain. Mentionwell scans your site, learns your voice and taxonomy, and ships evidence-gated SEO content end-to-end. Its answer-engine scan classifies explicit recommendations, top-pick rank, brand mentions, source-only use, competitor leakage, citations, and uncertainty separately. The planner selects an article, comparison page, category page, evidence asset, technical fix, off-site action, or product-fit stop; published work is tied to the opportunity and remeasured against the same prompts.

Mentionwell is live and self-serve: sign up at https://app.mentionwell.com/sign-up with a free plan (no card required), connect a blog, and publish the first article in minutes. Paid tiers run $79 (Starter), $349 (Growth), and $999 (Scale) per month — full breakdown at https://mentionwell.com/pricing.

Built by [ZipLyne](https://ziplyne.agency), an AI-product agency. Mentionwell came out of internal tooling that's now shipping as a standalone product.

## Glossary — what each acronym actually means

- [AEO — Answer Engine Optimization](https://mentionwell.com/aeo): 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.
- [GEO — Generative Engine Optimization](https://mentionwell.com/geo): 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.
- [LLMO — LLM Optimization](https://mentionwell.com/llmo): 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.
- [SEO — Search Engine Optimization](https://mentionwell.com/seo): 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.
- [AIO — AI Optimization](https://mentionwell.com/aio): AIO stands for AI Optimization (sometimes Artificial Intelligence Optimization). It's the practice of structuring content so AI systems — ChatGPT, Claude, Perplexity, Gemini, Copilot, Google AI Overviews — can find it, trust it, and cite it. In 2026 the term is used three ways: as an umbrella over AEO + GEO + LLMO, as shorthand for Google's AI Overviews optimization, and as the content-quality layer that makes any LLM able to read and lift your facts. All three definitions point at the same outcome — being the source AI quotes when your buyers ask.
- [SGE — Search Generative Experience optimization](https://mentionwell.com/sge): 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.
- [AISO — AI Search Optimization](https://mentionwell.com/aiso): AISO stands for AI Search Optimization. It's the practice of preparing a website so AI assistants — ChatGPT, Claude, Perplexity, Gemini, Copilot, Google AI Overviews, Bing Copilot — can retrieve, trust, summarize, and cite it. AISO emerged in 2024-2025 as B2B and enterprise teams looked for a single label covering AEO, GEO, and LLMO, and now has its own agency ecosystem, methodology (audit → foundation → optimize → monitor), and tooling. If you're shipping AEO, GEO, and LLMO together, you're already running an AISO program.
- [llms.txt — llms.txt](https://mentionwell.com/llms-txt): llms.txt is a proposed standard (llmstxt.org, 2024) for a site to expose a concise Markdown overview of itself at /llms.txt — what the site is, what it covers, and which pages matter most. A deeper /llms-full.txt variant carries the full content corpus. It's the canonical surface for LLMO.
- [Citation — AI Citation](https://mentionwell.com/citation): An AI citation is a link or attribution that a generative engine — ChatGPT, Claude, Gemini, Grok, Perplexity, Google AI Overviews — surfaces alongside a synthesized answer. Citations are the GEO win condition: not just being read by the model, but being credited to the user.
- [RAG — Retrieval-Augmented Generation](https://mentionwell.com/rag): Retrieval-Augmented Generation (RAG) is the pattern where an LLM, before answering, retrieves relevant documents from an index (vector store, search engine, or website) and grounds its answer in those documents. ChatGPT Search, Perplexity, and Google AI Overviews are RAG systems. Optimizing for RAG retrieval is the core of GEO and LLMO.
- [Grounding — Grounding](https://mentionwell.com/grounding): Grounding is the practice of constraining an LLM's answer to retrieved or trusted source documents, instead of letting it free-generate from training weights. Grounded answers carry citations, hallucinate less, and stay current. Grounding is the engineering motivation behind RAG and behind every AI search product that shows source pills.
- [Schema.org — Schema.org / Structured Data](https://mentionwell.com/schema-org): Schema.org is the shared vocabulary search and answer engines use to read structured data from web pages. Marking up an article with BlogPosting, FAQPage, BreadcrumbList, and DefinedTerm tells engines what each block means — which is what makes featured snippets, AI Overviews, and rich results possible.
- [E-E-A-T — Experience, Expertise, Authoritativeness, Trust](https://mentionwell.com/eeat): E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trust — the framework Google's Search Quality Rater Guidelines use to evaluate content. The extra E (Experience) was added in 2022 to weight first-hand authorship. E-E-A-T isn't a direct ranking signal, but it shapes how Google's systems and human raters score quality.
- [Topical Authority — Topical Authority](https://mentionwell.com/topical-authority): Topical authority is the depth and breadth of a site's coverage of a single subject. Search and answer engines reward sites that cover a topic comprehensively — pillar pages, supporting clusters, internal linking — over sites that publish one article and move on. Topical authority is the long-term game underneath every AI-search optimization tactic.
- [Entity SEO — Entity SEO](https://mentionwell.com/entity-seo): Entity SEO is the practice of optimizing for entities — people, places, products, concepts — as understood by knowledge graphs, instead of just for keyword strings. Modern engines map queries to entities; ranking well means being clearly identifiable as a specific entity with consistent attributes across the web.
- [Knowledge Graph — Knowledge Graph](https://mentionwell.com/knowledge-graph): A knowledge graph is a structured database of entities and the relationships between them. Google's Knowledge Graph powers the right-rail panel and underpins entity disambiguation across Search and AI Overviews. LLMs build implicit knowledge graphs from training data; explicit graphs (Wikidata, schema.org markup) help them ground answers.
- [Featured Snippet — Featured Snippet](https://mentionwell.com/featured-snippet): A featured snippet is the boxed answer Google shows above the blue-link list — paragraph, list, or table — sourced from a single page. Featured snippets predate AI Overviews and are still the workhorse AEO surface in classical SERPs. Optimizing for them is the prototype for optimizing for AI Overviews.
- [PAA — People Also Ask](https://mentionwell.com/paa): People Also Ask (PAA) is the Google SERP feature that surfaces a stack of related questions, each expanding into a featured-snippet-style answer. PAA boxes are an AEO goldmine — they index the actual questions users ask, and ranking inside them gives a single page multiple SERP touchpoints.
- [SERP — Search Engine Results Page](https://mentionwell.com/serp): A SERP is a Search Engine Results Page — what Google or Bing shows after a query. Modern SERPs are stacks of features: AI Overviews at the top, featured snippet, People Also Ask, knowledge panel, blue links, image carousel. Optimizing for 'the SERP' now means optimizing for many surfaces, each with its own rules.
- [Zero-Click — Zero-Click Search](https://mentionwell.com/zero-click): A zero-click search ends with the user's question answered on the SERP itself — by a featured snippet, AI Overview, knowledge panel, or PAA box — without anyone clicking through. Zero-click is now the majority of Google searches; AEO is the discipline of winning attention on a SERP that no longer sends a click.
- [Embeddings — Vector Embeddings & Semantic Search](https://mentionwell.com/embeddings): A vector embedding is a numerical representation of meaning — a sentence, paragraph, or document mapped to a point in high-dimensional space. Semantic search uses embeddings to find passages that mean the same thing as a query, even with no shared keywords. Every modern AI search product (Perplexity, ChatGPT Search, AI Overviews) leans on embeddings to retrieve.
- [Brand Mentions — Brand Mentions](https://mentionwell.com/brand-mentions): A brand mention is any reference to a brand name on the web — linked or unlinked. Search and answer engines increasingly use unlinked brand mentions as an authority signal: if many sources discuss your brand in a topic, you're likely an authority on it, even without a backlink graph. Brand mentions are the AI-era replacement for raw link counts.
- [Answer Engine — Answer Engine](https://mentionwell.com/answer-engine): An answer engine is a search system that returns a direct answer instead of (or above) a list of links. Google AI Overviews, Bing Copilot, Perplexity, ChatGPT Search, voice assistants, and the featured-snippet box are all answer engines. AEO is the discipline of optimizing for them.
- [AI Overviews — Google AI Overviews](https://mentionwell.com/ai-overviews): AI Overviews are Google's generative answer feature, surfaced above the blue-link list on many queries. They synthesize an answer from multiple sources and show inline citations. Launched as Search Generative Experience (SGE) in 2023 and graduated to general availability as AI Overviews in 2024, they're now the highest-traffic AEO surface in the world.
- [Perplexity — Perplexity](https://mentionwell.com/perplexity): Perplexity is an AI answer engine that returns synthesized answers with prominent inline source citations. It pioneered the citation-pill UI that's now standard across AI search. Perplexity is one of the highest-priority GEO targets — its retrieval is current, its citations are visible, and clicks-through are real.
- [ChatGPT Search — ChatGPT Search](https://mentionwell.com/chatgpt-search): ChatGPT Search is OpenAI's web-search and grounding mode for ChatGPT, launched in 2024. It retrieves live results, synthesizes an answer, and cites sources inline. Optimizing for ChatGPT Search is the OpenAI slice of GEO — same citation-friendly content patterns, same retrieval-aware structure.
- [Copilot — Microsoft Copilot](https://mentionwell.com/copilot): Microsoft Copilot is the AI assistant built on top of Bing Search — it returns synthesized answers with citations across Bing, Edge, Windows, and Microsoft 365. Optimizing for Copilot is the Bing slice of GEO and AEO; the underlying signals overlap heavily with Google AI Overviews and ChatGPT Search.
- [AI Crawler — AI Crawler / Bot](https://mentionwell.com/ai-crawler): An AI crawler is a bot operated by an AI company to ingest web content for training, retrieval, or live grounding. The major ones — GPTBot, OAI-SearchBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended — each have their own user-agent and (usually) their own robots.txt directive.
- [robots.txt — robots.txt for AI](https://mentionwell.com/robots-txt): robots.txt is the file at /robots.txt that tells crawlers which paths they may or may not fetch. In the AI era, robots.txt is also the primary opt-in/opt-out signal for AI training and retrieval — each major AI crawler honors its own user-agent directive (GPTBot, ClaudeBot, PerplexityBot, Google-Extended).
- [GenAI — Generative AI](https://mentionwell.com/generative-ai): Generative AI refers to AI systems that produce new content — text, images, audio, video, code — rather than only classifying or scoring existing inputs. In the AI-search context it's shorthand for the LLMs behind ChatGPT, Claude, Gemini, Grok, and Perplexity, and the diffusion models behind image generation.
- [Hallucination — Hallucination](https://mentionwell.com/hallucination): A hallucination is an AI-generated output that is confidently stated but factually wrong — a fake citation, an invented statistic, a non-existent quote. Hallucinations are the central failure mode of generative AI and the reason grounding, RAG, and citation-friendly content matter: real sources cut hallucination rate.
- [LLM — Large Language Model](https://mentionwell.com/llm): A Large Language Model (LLM) is a neural network trained on huge text corpora to predict and generate text. GPT, Claude, Gemini, Grok, Llama, and Mistral are LLMs. Every modern AI answer engine — ChatGPT Search, Perplexity, Google AI Overviews — is an LLM plus a retrieval system plus a UI.
- [Prompt Injection — Prompt Injection](https://mentionwell.com/prompt-injection): Prompt injection is an attack where adversarial text inside a retrieved page or user input overrides the model's instructions and makes it behave unexpectedly. For publishers, the responsible side of this is: don't ship invisible-to-humans text aimed at hijacking AI assistants — engines actively detect and penalize it.
- [pSEO — Programmatic SEO](https://mentionwell.com/programmatic-seo): Programmatic SEO (pSEO) is the practice of generating large numbers of pages from a template plus a structured dataset — one page per city, product, comparison, or use case. Done well, pSEO covers long-tail demand efficiently. Done badly, it's thin doorway content that engines and AI assistants both ignore.

## How it works

1. **Onboarding in 60 seconds.** 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.
2. **Planner / writer / critic.** 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.
3. **AEO feedback loop.** Mentionwell scans answer engines, diagnoses why competitors win, routes the intervention automatically, and remeasures the same prompt cohort after publication.
4. **Anywhere your site lives.** Pull from Mentionwell's public Reader API on every request, receive HMAC-signed publish webhooks, or commit MDX to your GitHub repo. Direct push into WordPress, Webflow, Ghost, Shopify, or Notion is rolling out per-CMS. Same articles, same dashboard, your choice of delivery.
5. **Discovery plus proof.** Articles ship with public HTML, appropriate structured data, RSS, JSON Feed, sitemap, canonical delivery support, and machine-readable mirrors. Optional Search Console and GA4 connections add sitemap submission, indexing evidence, search outcomes, and useful-visit measurement.

## Outcomes measured across

ChatGPT, Claude, Gemini, Grok, Perplexity, Microsoft Copilot, Google AI Overviews. AI crawler allowlist published at https://mentionwell.com/robots.txt.

## Reference

- llms.txt index: https://mentionwell.com/llms.txt
- llms-full.txt deep reference: https://mentionwell.com/llms-full.txt
- AEO platform page: https://mentionwell.com/aeo-platform
- AI surface map: https://mentionwell.com/ai.txt
- Curated AI sitemap: https://mentionwell.com/sitemap-llms.xml