Drop in your domain. We research, write, and ship — every week, on autopilot.
For every site you onboard, Mentionwell collects the exact AEO evidence that matters: which answer engines cite you, which competitors appear instead, which pages win, and which fan-out questions the models actually searched. Then, per article, you decide whether to inject that data into the writer.
Use observed prompts, citations, claims, and competitor gaps as drafting context.
Mentionwell tests the prompts your buyers ask across ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Exa, and Google AI surfaces. It stores answers, citations, fan-out queries, regions, and share-of-voice.
Every cited URL is scraped and fingerprinted: word count, headings, schema, byline, stats, list structure, summaries, and claim-level evidence. You see what the engines lifted and why.
When you approve or run an article, choose a normal draft or an AEO-assisted draft. The scan context becomes optional input to the outline, draft, metadata, and FAQ stages — never a forced rewrite.
Mentionwell crawls your site, reads your structured data, scans your sitemap, and identifies your top competitors. It synthesizes a brand voice, a content taxonomy, and 10 starter headlines tuned to the questions your audience is actually asking.
For every post, Mentionwell runs live web research, reads what your competitors are publishing, finds the gaps, and drafts a piece that's structurally optimized to be lifted into AI answers — and to rank in classic Google. A reflection critic pass checks facts and style; weak drafts get rewritten before anything ships.
BlogPosting + FAQPage JSON-LD on every article. Per-site RSS, JSON Feed, sitemap, a site-wide llms.txt, and an explicit AI-crawler allowlist in robots.txt. Original hero imagery and infographics generated on-brand by frontier image models — not stocked. Everything an answer engine looks for, and Google rewards.
Pull articles from a read-only Reader API on every request, receive HMAC-signed webhook posts when an article goes live, or have Mentionwell commit MDX into a GitHub repo. Built so AI agents can read the docs and integrate it themselves — no migration, no plumbing.
Drop the URL into Cursor, Claude Code, or any agent — it reads our spec and integrates Mentionwell into your stack without you writing a line. A structured install manifest, an agent-readable docs tree, and a single-step domain handshake.
The AI answer layer is a stack of overlapping practices. Most tools pick one and call it a day. Mentionwell handles the whole alphabet — at the same time, on every article.
Shape content so AI assistants cite you by name when they answer questions.
The practice of writing for ChatGPT, Claude, and Perplexity the way SEO was written for Google in 2008.
Princeton 2023. Tactics that increase visibility inside generated answers.
Statistical evidence, named entities, direct quotation, and structural cues.
Make your content tractable for the language models that summarize the web.
Clean structure, fact-density, citation-shape — what the model wants to lift verbatim.
Umbrella term. AEO + GEO + LLMO + emergent surfaces.
For when a buyer asks for the whole thing and doesn't want to pick.
Optimization for AI-native search products — Perplexity, You.com, SearchGPT.
Fast retrieval, citation-rich pages, schema-clean.
Google's generative result surface. Now folded into AI Overviews.
Featured snippets, but the snippet is a paragraph the model wrote citing five sources.
The classic. Still pays the bills. Mentionwell does this too — by default.
Title, meta, headings, internal links, structured data, page speed, the whole catechism.
Read the long versions in the glossary spokes — each acronym has its own page and OG card.
This block doubles as the source of truth for our FAQPage JSON-LD — same questions, same answers, structured for the engines.
AEO is the practice of structuring content so it gets surfaced as the direct answer — and cited as a source — across answer engines like ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, Google AI Overviews, and Google AI Mode. Mentionwell does AEO end-to-end: it tracks where you and your competitors are cited across 10 engines, then ships question-led articles with FAQs, BlogPosting + FAQPage JSON-LD, and a citation-friendly structure on every draft.
Every site gets a continuous AEO scan across up to 10 engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok, Exa, DeepSeek). For every prompt we capture the engine answer, fan-out queries, every cited URL with position and source type (owned / competitor / third-party), and we extract claim-level evidence from each cited page. The dashboard rolls all of this up into share of voice, a citation table, a competitor panel, and a recommendations engine.
Classic SEO ranks blue links on Google. AEO ranks inside the answer — the AI Overview, the ChatGPT response, the Perplexity card. The shape of the win is different: instead of clicks from a SERP, you get cited as a source inside an AI-written answer. Mentionwell does both: AEO is the primary frame, but every article still ships full SEO — keyword research, sitemap, RSS, JSON-LD, internal linking, image alt text, canonical URLs.
GEO (Generative Engine Optimization, term coined in a 2023 Princeton paper) and LLMO (LLM Optimization) are sub-disciplines of AEO. GEO targets generative engines that synthesize answers and cite sources; LLMO targets the crawlers and the training surface (GPTBot, ClaudeBot, PerplexityBot, llms.txt). Mentionwell rolls both into the AEO platform — every article ships citation-shaped structure, evidence-backed claims, llms.txt entries, and explicit AI crawler allowlisting.
Ten engines: ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok, Exa, and DeepSeek. The robots.txt + llms.txt 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. Bot crawls are tracked per site so you can see which engines are actively reading your pages.
Wherever you want. Mentionwell is headless. Pull articles from the public read-only Reader API or the mentionwell-reader npm package, receive HMAC-signed webhook posts on publish, or commit MDX into your GitHub repo. Direct push into WordPress, Webflow, Ghost, Shopify, or Notion is rolling out per-CMS — today those land via the signed-webhook adapter path (the WordPress plugin already receives them natively). Every article also gets RSS, JSON Feed, sitemap entries, BlogPosting + FAQPage JSON-LD, and a site-wide llms.txt for AI ingestion.
Yes. Mentionwell imports from WordPress (XML or REST), Webflow, Ghost, Substack, RSS, sitemap, or manual paste — slugs are preserved so existing rankings stay intact. Once imported, the bulk-optimize pass refreshes metadata, injects FAQs where missing, and year-refreshes stale references for AEO. You can also export everything anytime as Markdown, WXR, or a zip with images.
Yes. Set headlines per week and the days/UTC hours you want articles to ship; the Auto Agent generates the planning topic queue, runs the AEO scan on whatever cadence your plan supports, drafts the articles, runs the editorial critic, generates 4K images, and publishes automatically. There's one safety net: if research on a topic comes back thin or the editorial critic's confidence is below the auto-publish bar, that article is held as a draft for you to review rather than shipped unattended. You can also stay manual at any stage and approve drafts in the kanban.
Six tier-1 locales today, all native generation rather than translation: English (US), English (UK), German, French, Spanish, and Hebrew with full RTL support. Each locale has its own prompt-level guardrails — spelling, idiom, pronouns, currency, decimal/date format, quotation marks. Hebrew gets the deepest spec: no niqqud, gershayim quotes, Latin-script brand-name code-switching, gender-inclusive phrasing, and RTL rendering on every article. Tier-2 locales (pt-BR, it-IT, nl-NL, ja-JP, zh-CN, ar-SA) are on the 2026 H2 roadmap.
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.
Mentionwell launches June 1, 2026. We're letting sites in week by week — drop your email and we'll reach out when your spot is ready.
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