LinkSurge Blog

Using Ahrefs' Japan data (May–Sept 2025, April 2026, June 2026) and its industry breakdown (automotive, IT, food), this article maps the domains ChatGPT cites for Japanese queries, explains why English Wikipedia outranks Japanese Wikipedia, shows that in Ahrefs' English-language data only 32.3% of ChatGPT's top 1,000 citations are within marketers' direct reach and the remaining roughly 67% are not, and gives a method for mapping citation sources in any market.

In August 2026, Reddit's share of ChatGPT Search citations fell from 3.8% to 0.5% in four days, and YouTube and TikTok citations dropped 70 to 90 percent. Using Promptwatch and Petra Labs data, this article traces what happened, where the citations went, and how to build a source-diversified, continuously measured strategy that survives the next shift.

ChatGPT search runs on three index layers (Bing, Google and OpenAI's own index) and splits one question into 7+ hidden sub-queries. Built on OpenAI's official docs and 2026 data from Ahrefs, Peec AI, Profound and Lily Ray, this pillar guide covers how ChatGPT retrieves and cites, what to fix first, and how to measure it.

Wallabee's analysis of 81,895 AI answers found up to 42.84% of ChatGPT responses cite a press release, 60.5% of them on PR TIMES. Sighted's 1,056-run test identified the elements that get a release cited (five for research reports, four for product launches) and the query wording that decides between the press release and the official site. A Japan case study with lessons for any market.

ChatGPT now splits one question into 7+ internal searches on average, but during the GPT-5.3 to 5.4 period in mid-2026 those sub-queries stopped appearing in the conversation interface. Using observations from Lily Ray, MJ Cachón and Ahrefs, this article covers how many fan-outs run, what they look like, how to retrieve them via the Responses API, and how to optimize when you can't see them.

ChatGPT search has moved from a Bing-centric setup in 2024 to a three-layer architecture in 2026 that includes OpenAI's own index, Labrador. Using Peec AI's analysis, OpenAI's crawler documentation and Lily Ray's observations, this article explains what happens at the retrieval, fan-out and selection stages, and what your site has to satisfy at each.

Rakuten's September 2026 survey found 54.3% of Gen Z use generative AI when shopping, yet search engines remain their most trusted source (42.1%). We cross-check it with PLAN-B, Daiko, Azoma and Semrush data and lay out a 30-day plan to get shortlisted by AI and verified in search.

Google states plainly that structured data is not required for generative AI search. We traced the widely cited 3.2x figure to its source, checked it against a controlled experiment, and deleted it from our scoring criteria. Here's what we found.

We analyzed 277 real AI Overviews citations across 659 pages and 10,083 heading blocks. 69.3% of citations came from body sections, not the opening. Here's what the data says about answer-first writing.