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AI Visibility · Grokipedia & xAI · Legacy reference
Grokipedia is xAI's AI-generated encyclopedia — millions of entries written by Grok itself. If yours is missing, thin or wrong, that is what feeds the answer. This page documents how the entry layer works and how we used to engineer it; the active successor is our cross-platform AI visibility work.
Where it fits
Some agencies pitch Grokipedia as the encyclopedia that makes Wikipedia obsolete. It is not, and we will not sell it that way. Wikipedia remains the most-cited source across major AI models. Grokipedia adds a new, fast-growing layer with real weight in one specific ecosystem — Grok and X. The rational move is to cover both, in the right order.
Wikipedia: the cross-model anchor
Volunteer-reviewed and consistently among the most-cited sources in ChatGPT, Claude, Gemini and Perplexity. The hardest layer to earn and the most durable. See Wikipedia page creation.
Grokipedia: the Grok layer
AI-generated, lower entry bar, fast timelines. Its weight is concentrated where Grok and the X ecosystem answer questions — a real and growing surface, honestly scoped.
Together: compounding coverage
The same source engineering feeds both. Independent coverage and clean entity data raise the floor of every layer in the AI visibility stack.
The platform, factually
Grokipedia is an online encyclopedia built by xAI and written by its Grok model. It launched in late October 2025 with roughly 885,000 AI-generated entries and grew to several million within months. Unlike Wikipedia, there are no volunteer editors: Grok generates and updates the articles, and readers can only propose corrections, which the model itself reviews. That design is why the playbook differs from classic wiki work — you influence a Grokipedia entry through the sources it reads, not through an edit button.
Launched by xAI in late October 2025
Grokipedia went live with roughly 885,000 entries generated by Grok, xAI's language model. By early 2026 the catalog had grown to several million entries.
Entries are AI-generated, not volunteer-written
Grok writes and refreshes the articles. There is no volunteer editor community, and no one — including us — can edit a page directly. At launch, a share of entries was adapted from Wikipedia under a Creative Commons license.
Corrections go through a suggestion workflow
Since the version 0.2 update in late November 2025, signed-in readers can highlight text and submit a proposed correction with sources. Grok reviews each suggestion and applies or rejects it — the model, not a human editor, makes the call.
Accuracy is uneven — monitoring matters
Independent reviews in the platform's first months flagged sourcing errors and unsupported claims in some entries that diverge from Wikipedia. AI-generated entries can also change after the fact, which is why we monitor rather than deliver-and-leave.
Platform mechanics current as of June 2026. Grokipedia iterates quickly — we re-verify thresholds and the suggestion workflow before every engagement.
Why it matters
When the sources are inconsistent or missing, the model fills gaps — and a confident wrong answer reads exactly like a right one. Source engineering changes what the answer is built from.
grok_response_log · brand query
Before · thin public footprint
> user: what does Northfield Robotics do?
> retrieving public sources...
> [warn] conflicting founding dates across sources
> [warn] no consistent entity record · no Grokipedia entry
> answer: "Northfield Robotics appears to be a logistics software firm based in Germany..."
> [risk] wrong sector · wrong country · zero citations
After · engineered footprint
> user: what does Northfield Robotics do?
> retrieving public sources...
> [ok] entity record consistent across sources
> [ok] Grokipedia entry corroborated by independent coverage
> answer: "Northfield Robotics builds warehouse automation systems; founded 2019, Austin, Texas..."
> cited: grokipedia · two trade publications · company record
Illustrative mockup — not a real Grok transcript.
The service
One engagement, three layers of work — get the entry generated accurately, make the brand citable in category answers, and keep both from drifting.
Pillar 1 · Presence
Entries are generated, not submitted. So we engineer the inputs: the public footprint Grok reads when it decides whether your subject is significant enough — and what to say about it.
Pillar 2 · Citations
Placement gets you an entry. Answer-engine optimization makes you citable when Grok answers your category questions — the queries where buyers ask for a recommendation, not your name.
Pillar 3 · Defense
AI-generated entries drift. Grok can hallucinate. The shield is a monitoring and correction loop that catches wrong claims and fixes them at the source level.
Pillar 2 is answer-engine optimization applied to one engine. For how AEO differs from SEO and GEO across all models, read AEO vs GEO vs SEO.
Pricing
Productised and flat-priced. The audit that starts it is free, and if the significance threshold is not realistic for your subject yet, we say so before you pay.
No longer offered
€700
discontinued June 2026 · kept for reference
The active path
The levers documented on this page — source engineering, entity accuracy, correction workflows — live on in the €2,200 AI Visibility Pack and the staged AI Visibility Packages, which cover the high-trust surfaces every major answer engine reads. If your question is “how do we show up accurately in AI, period” rather than “how do we cover Grok,” start there.
Browse the full products catalog or compare the staged AI visibility packages (€700 / €1,500 / €3,500) that build the Wikidata-and-Wikipedia backbone first.
Honest comparison
Neither replaces the other. The table is the honest version of the trade-off, including the one row most agencies skip: where the citation weight actually lands.
| Dimension | Wikipedia | Grokipedia |
|---|---|---|
| Editorial model | Volunteer editors review every change against published sources | AI-generated by Grok; reader suggestions reviewed and applied by the model |
| Entry bar | High — sustained, significant independent coverage required | Lower — a significance threshold applied by xAI's generation pipeline |
| AI-citation weight | Highest, and broad — cited across ChatGPT, Claude, Gemini and Perplexity | Concentrated in the Grok and X ecosystem |
| Price | from €1,930 | €700 |
| Typical timeline | 3–4 weeks | ~1–2 weeks |
| Conclusion | They compoundWikipedia anchors cross-model trust; Grokipedia covers the Grok layer at a fraction of the cost and timeline. Where notability holds, do both. | |
Not sure which side of the notability line you are on? A Wikipedia notability audit answers it before you spend on either. And if Wikipedia is out of reach for now, Wikitia is another lower-bar wiki layer that pairs well with Grokipedia.
The honest scope
Grokipedia is xAI's platform, generated by xAI's model. Anyone who promises you a specific entry with specific wording is selling something they do not control. Here is the real boundary.
What we do not control
What we actually do
The frame in one line: we raise the probability that an AI-generated entry exists and is accurate — we do not dictate its text. Every outcome we sell is framed the same way across the site; see our guarantees.
Frequently asked questions
The standalone Grokipedia service is retired, but the same source-engineering levers run inside our active AI visibility programs — covering ChatGPT, Gemini, Perplexity and Grok together.