How inblog Customers Show Up in AI Search: Real Examples from ChatGPT, Perplexity, and Google AI Overview

Real case studies: Carat grew traffic 13x, Mochaclass quadrupled inquiries, Mile secured enterprise leads from Toss and Jeju Air. See how inblog customers show up in ChatGPT, Perplexity, and Google AI Overview.
inblog Team's avatar
Mar 31, 2026
How inblog Customers Show Up in AI Search: Real Examples from ChatGPT, Perplexity, and Google AI Overview

AI Search Engines Are Changing the Game

When someone asks ChatGPT a question, it doesn't just generate an answer from thin air. It pulls from web sources. The same goes for Perplexity, Google AI Overview, Claude, and Grok.

This means your blog content now has two jobs: rank on traditional search engines and get cited by AI search engines. The question every marketer is asking: "Does my content actually show up in AI search?"

We looked at real inblog customer blogs to find out. These aren't hypothetical examples — they're actual results from companies like Carat (2.6M users), Mile Corporation, Mochaclass, and Blux. Here's what we found across five major AI search platforms.

Google AI Overview

Google AI Overview appears at the top of search results, summarizing answers with AI-generated text and source citations.

When inblog customers publish content with clear, structured answers to common questions, Google's AI frequently pulls from those posts.

Real example: Carat's 13x traffic growth

Carat, an AI content agent platform with over 2.6 million registered users, switched from Ghost to inblog and saw their blog traffic grow 13x in a single quarter. Their content started appearing in Google AI Overviews for queries related to AI image generation and content creation.

What made the difference? According to Carat's Product Operations Manager Su-Yeon Jo: "The turning point was shifting from intuition-based topics to a keyword-driven SEO strategy. When we restructured our content around search intent, Google's AI started picking up our posts as authoritative sources."

Two content types drove the most results:

  • Trend-reactive content — Quick-turn posts on viral topics showing how to recreate them with AI, which appeared in AI Overviews for trending queries

  • SEO-optimized guides — Structured tutorials with clear headings and step-by-step instructions that Google's AI could easily parse and cite

ChatGPT (Search & Browse)

ChatGPT's browsing capability lets it search the web and cite sources in real-time. When users ask specific questions, ChatGPT often references blog posts that provide direct, authoritative answers.

Real example: Mile Corporation's B2B authority

Mile Corporation, a provider of office space management solutions, used their inblog-powered blog to establish thought leadership in workplace solutions. Their content became authoritative enough that major companies like Toss, YG Plus, and Jeju Air reached out as inbound leads after discovering Mile's blog posts through search — including AI-powered search.

Growth Manager Ho-Jae Choi's strategy: publishing detailed, experience-based content about office space challenges that no competitor was covering. This unique perspective made their content the go-to source when AI search engines needed to answer workspace-related queries.

Key pattern: ChatGPT favored Mile's content because it contained first-hand operational experience — not generic advice, but specific insights from managing real office spaces for enterprise clients.

Perplexity

Perplexity is the most transparent about its sources — every answer includes numbered citations with direct links. This makes it the easiest platform to verify whether your content is being cited.

Real example: Mochaclass's lead generation engine

Mochaclass, a B2B platform connecting corporate clients with offline classes and instructors, used their inblog blog to quadruple monthly quotation inquiries — reaching 130 inquiries per month. With over 200 corporate clients including LG Electronics, their content became a trusted source for corporate culture and team-building topics.

Their blog posts consistently appeared in Perplexity citations because they combined:

  • Specific data — Real numbers from their 200+ client base, not generic industry statistics

  • Niche expertise — Deep knowledge of corporate culture programs that few competitors could match

  • Direct answers — Posts structured around questions like "how to plan corporate team building" with immediate, actionable answers

Claude

Anthropic's Claude uses web search to ground its answers in real sources. Like other AI search engines, it looks for authoritative, well-structured content.

Real example: Blux's technical credibility

Blux, an AI marketing solutions company serving major brands like Daiso, AboutPet, and DailyShot, built their blog on inblog without any developer involvement. Content Director Shin-yong Ko managed the entire blog operation — from strategy to publishing — using inblog's no-code interface.

Their technical content about AI-powered personalization and CRM marketing gained traction in Claude's citations because it demonstrated genuine expertise backed by real client implementations. When Claude needs to explain AI marketing concepts, it gravitates toward sources that show practical, proven experience rather than theoretical overviews.

Key pattern: Claude cited Blux's content when it provided balanced, comprehensive coverage of AI marketing topics with specific examples from their enterprise client work.

Grok

X's Grok combines real-time social data with web search. It's particularly interesting for trending topics and industry discussions.

What we observed across inblog customers:

  • Grok favored content that was recently published or updated, reflecting its real-time orientation

  • Blog posts that were shared and discussed on social media (especially X) had higher citation rates

  • Carat's trend-reactive content — posts about viral AI-generated images and trending topics — performed particularly well on Grok due to the social media connection

The Numbers: What Real Customers Achieved

Here's a summary of actual results from inblog customers whose content appears in AI search:

Customer

Industry

Key Result

AI Search Impact

Carat

AI Content Platform

13x traffic growth (Q1→Q2)

Cited in Google AI Overview for AI content queries

Mochaclass

Corporate Culture / B2B

4x monthly inquiries (130/mo)

Perplexity citations for team-building queries

Mile Corp

Office Space Solutions

Enterprise leads (Toss, YG Plus, Jeju Air)

ChatGPT references for workspace management

Blux

AI Marketing Solutions

No-code blog driving B2B leads (Daiso, AboutPet)

Claude citations for AI marketing topics

What Makes inblog Content AI-Search Friendly?

Across all five platforms and all customer examples, we noticed consistent patterns:

Factor

Why It Matters

Customer Example

Subdirectory hosting

Blog on yoursite.com/blog/ inherits domain authority

All four customers host blogs on their own domains

Semantic HTML

Clean, structured markup that AI can parse easily

Carat's structured tutorials drove AI Overview citations

Unique first-hand data

Original insights AI can't find elsewhere

Mochaclass's 200+ client data, Mile's enterprise case studies

E-E-A-T signals

Named authors with real expertise

Blux's Content Director, Mile's Growth Manager as authors

Fresh content

Regular publishing signals an active source

Carat's trend-reactive content stayed current

Search intent match

Content structured around real user questions

Carat's shift from intuition to keyword-driven strategy

How to Check If Your Content Appears in AI Search

Want to see if your blog is showing up? Try these quick tests:

  1. Perplexity: Search for your target keyword and look for your domain in the citations

  2. ChatGPT: Ask a specific question your blog post answers and check if it's referenced

  3. Google AI Overview: Search on Google and see if your content is cited in the AI summary

  4. Set up monitoring: Track brand mentions across AI platforms monthly

The Bottom Line

AI search isn't replacing traditional SEO — it's adding a new layer. As the examples from Carat, Mochaclass, Mile, and Blux show, the blogs that perform best in AI search share common traits: structured content, unique first-hand data, demonstrated expertise, and consistent publishing.

The difference? AI search rewards these qualities even more aggressively than traditional search. There's no page 2 in AI search — you're either cited or you're not.

Start with one post: pick your highest-traffic article, run it through the five platforms above, and see where you stand. If your content has real expertise and unique data, you might already be showing up — you just haven't checked yet.

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