Monthly ChatGPT users in South Korea, spending at least 1,000 minutes per person each month.
Wiseapp, July 2026
ChatGPTmentions first.An AI recommendation typically names two or three brands. Customers use it to decide which brands to consider.
Monthly ChatGPT users in South Korea, spending at least 1,000 minutes per person each month.
Wiseapp, July 2026
Higher purchase conversion among visitors referred by AI than among other visitors. A year earlier, it was 38% lower.
Adobe, May 2026
Use AI when making a purchase, according to a survey of 2,100 South Korean consumers.
Opensurvey, 2026
Once a page is live, we keep asking the questions and improving the page every day.
People searched with keywords and followed links. A good page and a higher ranking were enough.
Customers read an AI answer before clicking. Your brand needs to appear in that answer.
AI answers change each time, so the work continues after your brand first appears. PION publishes articles for questions where it is missing, measures again and makes further improvements.
PION
We plan and manage the path from a customer's AI question to a website visit and a sale, tailored to your brand. We track and analyze the data continuously to improve it.
We measure all three stages daily and report the results.
We first check whether AI search crawlers can read your website.
We then identify which questions matter most for your brand. We use brand materials, community discussions and consultation records to select questions with search demand and purchase intent.
The most common cause is a setting that blocks search crawlers. Pages rendered only by scripts can look blank to crawlers, and specifications or prices may be available only in images or PDFs. These are also common problems. Training crawlers and search crawlers are separate; blocking search crawlers can keep your brand out of ChatGPT answers. PION fixes these settings and prepares a subdomain or new domain for publishing.
We choose a new set for each brand, using real community questions, specific search queries with demand, and questions from consultations and customer support. We prioritize questions with search demand and purchase intent that competing brands have not yet answered.
We ask the same questions on ChatGPT, Gemini, Google AI Overviews and AI Mode at regular intervals, saving each answer in full.
We catch descriptions that use product specifications from two years ago or contradict your brand's positioning. We identify the cause and prioritize what to fix.
Answers vary each time, so a single result is not enough. We repeat each question across four engines on the same schedule and count how often the brand appears.
The same question can produce different answers. A single response may therefore differ from the results of repeated checks. PION reports count brand mentions and website citations separately, with the brand's position and the original answer alongside them.
We set up a blog on your brand's subdomain or a new domain and publish articles there. We also configure your main website so AI search crawlers can read it more easily.
Before publishing, we check two things: every supporting citation against its original source, and the wording against applicable rules such as those for medical advertising.
PION updates your main site if settings prevent crawlers from reading it or product information is missing. Articles are published on a brand subdomain blog, with a new domain created when needed.
Yes. We first document prohibited wording and the approved scope for your brand, then review each draft against those criteria before publishing.
We repeat the same questions daily to see how brand positions and cited sources have changed.
The dashboard shows the AI's full answers and the sources it cited. You can also view the raw data.
We ask the same set of questions every day and summarize what changed. Reports include changes in answers, cited sources, competitor positions and the next planned tasks.
There is a delay between publishing an article and its appearance in AI answers, and timing varies by industry and question. We measure the same question set daily and report the changes.
Using your own GA4 property, we measure whether AI-referred visits grow and whether those visits lead to revenue.
The conversion event may be an inquiry, purchase, or contract depending on your industry. The final measures are traffic and revenue.
We use GA4 to track whether an AI mention leads to a website visit and then a purchase. Adobe Digital Insights (May 2026) found that AI-referred visitors had a purchase conversion rate 54% higher than other visitors.
In GA4, we track visits from AI sources such as ChatGPT and Perplexity separately. We also review changes in branded search volume. You own all of this data and can check it yourself at any time.
Our work in B2C businesses with long purchase cycles, B2B2C manufacturing and platform businesses: the questions we targeted, and how AI answers and inquiry volumes changed.
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