Wikipedia plays a fundamental role in influencing online visibility. But what about Grokipedia, the new AI-generated wiki on the block?
Is Grokipedia a serious competitor to Wikipedia, or a doomed exercise in billionaire hubris? Does Grok bring new value to the table, or is it just rehashing the same old content? Is Grokipedia influencing AI search in the same way as Wikipedia?
To find out, we used data from Ahrefs Site Explorer and Brand Radar to compare key metrics: page count, traffic, AI citations, page length, semantic similarity, and much more.
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Since its release in October 2025, Grok has released an incredible amount of content: 737,930 pages have been published.
In comparison, Wikipedia has 3,725,102 clear pages, or five times as large. Given how quickly Grok is accumulating content, it seems reasonable that the site could surpass the Wikipedia page count.
Assuming that Wikipedia’s page count remains constant and Grokipedia publishes new pages at the same rate (about 6,000 pages per day since launch), Grokipedia will surpass Wikipedia in about 500 days, or about July 2027.
But while it’s easy with AI to pump up a bunch of pages, it’s not so easy to get organic traffic.
We estimate Wikipedia’s organic traffic at ~2,100,000,000 page views per month, compared to ~1,300,000 for Grok: a 1,615x difference (which requires a log scale to plot on the same chart):
Put another way, for every one page view that a Grokipedia page receives, Wikipedia receives 1,615.
This difference in traffic is partly explained by keywords. Grokipedia ranks 1,193,013 keywords with an average keyword position of 40.59. Wikipedia ranks 45,573,106 keywords, or 38x more, with an average rank of 12.26:
Wikipedia has 879,615,708 backlinks to Grokipedia’s (still amazing) 1,414,654 backlinks, or 622x more. Dividing backlinks by total page count, Wikipedia has ~236 backlinks per page to Grokipedia’s ~2:
It’s the same story for target domains: 2,024,916 for Wikipedia and 8,016 for Grokipedia, or 253x more. Wikipedia has 0.54 referring domains per page to Grokipedia’s 0.01.
With all the traditional search metrics—one bar, number of pages—Grokipedia has an incredible amount of catching up to do.
We randomly selected 100,000 Grokipedia-Wikipedia topic pairs (two articles on the same topic) to compare the content structure of both wikis.
Grokipedia pages have an average of 3,942 words compared to Wikipedia’s 3,495, a difference of about 13%—a bit longer, but a smaller difference than I expected given how “cheap” production AI has done content creation:
Grokipedia was launched in October 2025, so the average age of its pages (as measured by the average time since our search engine first found the URL) is only 67 days. Wikipedia, by comparison, has an average page of 3,381 days—9.3 years, or about 51x as old:
Surprisingly, Grokipedia has more external links in its reference section: an average of 68 per page, compared to Wikipedia’s 40.
But Wikipedia, with five times as many pages, is much better at internal linking between related concepts, with an average of 144 unique internal links per page to Grokipedia’s 83:
The pictures show a big difference. Wikipedia’s human-written, human-edited content contains an average of 24 images per page. Grokipedia has an average of… zero images per page:
Grokipedia is great for getting AI quotes.
Despite having 1,615x the total traffic of Grokipedia, Wikipedia “just” has 70x the number of AI citations: 356,200 for Grokipedia compared to 24,914,778, or an average of 0.48 citations per page for Grokipedia, and 6.69 for Wikipedia:
Grokipedia earned the most citations for ChatGPT and Google’s AI Mode, with Copilot and Gemini a distant third and fourth:
By comparison, the bulk of the Wikipedia citations come from AI Mode and AI Overviews, with ChatGPT and Perplexity third and fourth:
We can look again relative distribution of citations on different AI platforms comparing both wikis on the same chart (on different axes… please forgive my graph crime).
Most notable are the differences in quotes from AI Overviews and ChatGPT:
Considering that citations in AI Overview are heavily concentrated in existing search results, it is perhaps not surprising that Grokipedia—which has a much lower average rank than Wikipedia—struggles for citations in AIOs.
In contrast, ChatGPT seems to have a bias related to citing Wikipedia, but there is no such problem with Grokipedia.
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Since Wikipedia is an important source of training data for many LLMs, and Grokipedia is completely written by a productive AI, I wanted to know: how similar are the pages of Grokipedia and Wikipedia?
To find out, we compared 10,000 “topic pairs”: pairs of Wikipedia and Grokipedia pages that cover the same topic and refer to the same entity.
The average semantic similarity of these subject pairs was 0.791, and the median was 0.831:
This is a very strong semantic overlap. In context, if we take Grokipedia pages and add their cosine similarity to random Wikipedia pages (i.e. it’s not the same pairs), the average cosine similarity is ~0.62.
Similarly, if we take other pages that match keywords like Grokipedia and Wikipedia pages, the average cosine similarity is ~0.61:
83% of the topic pairs we analyzed had cosine similarity greater than 0.62, indicating that Grokipedia pages share strong semantic overlap with Wikipedia pages describing the same entity:
Final thoughts
Grokipedia seems to represent a new model for wikis: AI content designed for AI use.
Grokipedia has a relatively strong influence on AI citations, compared to its size, but a relatively weak influence on real people (as measured by average page views). Grokipedia pages are very similar to Wikipedia pages on the same topic, and it’s hard to avoid the image of ouroboros eating its tail. Indeed, the learning experience seems to be more intended for AI use than for humans.
Ahrefs Site Explorer estimates that Grokipedia’s organic traffic has already dropped to half of its previous high—so maybe Google agrees with my assessment.
If you have other ideas for Grokipedia analysis, let me know on LinkedIn.
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