How brands get chosen in AI search
Guides, research and product notes from the team building the GEO platform, organized by the stage of your GEO program.
GEO in practice: an AI search optimization checklist for your first 30 days
A week-by-week plan for starting GEO with a small team: record how AI answers describe you today, fix your brand facts, rework a few key pages, publish beyond your own site, and measure again after 30 days.
What is AI marketing operations for a B2B company?
AI marketing operations means running marketing as a repeatable loop where AI does the routine work and people make the decisions. Here is what that looks like for a small B2B company or manufacturer, and how to start.
What AI crawlers take, and what they send back
Cloudflare network data, Adobe readability audits and Similarweb citation counts on AI crawler behaviour in 2025–2026: who crawls, crawl-to-refer ratios, robots.txt trends, how much of a retail site AI can read, and what Korean brands should do.
AI referral traffic and conversion: what the 2026 data shows
Adobe, Similarweb, Semrush and BrightEdge data on AI referral traffic in 2026: volumes, the conversion flip, where referrals go, the attribution gap, and what Korean marketing teams should measure.
Why AI search leaves your company out of the answer
When a buyer asks AI for suppliers and you are not mentioned, the cause is usually one of four things.
GEO in 2026: what the latest industry reports say
A cross-report digest of 2026 AI search research from Similarweb, Ahrefs, Pew, Semrush, BrightEdge, Gartner, McKinsey, Bain, Forrester and Korean surveys: fewer clicks from search, more AI referrals, and what it means for Korean brands.
robots.txt and llms.txt: what they do and what they do not
Two small text files come up in every GEO conversation. They do different jobs, and neither is a shortcut to being cited.
How to write a product page AI can cite
A page written for a brochure reader and a page AI can cite look different. Five changes cover most of the gap.
Measuring GEO: what to compare before and after
GEO work is hard to judge without a baseline. Decide what to measure before you change anything.
Why one page is not enough: distributing GEO content
A good page on your own site is the starting point. AI search reads far more than company websites.
What GEO is, and how it differs from SEO
GEO builds on SEO, and it asks a different question: not where you rank, but whether you are in the answer.
AI agents for small businesses: a practical guide to getting started
What an AI agent actually is, how it differs from a chatbot or a simple automation, where it helps a small B2B company today, where it does not yet, and how to start with one low-risk task.
What agentic AI means for manufacturing companies
A practical explanation of agentic AI for small and mid-sized manufacturers: how it differs from chatbots and automation, where it helps in operations and in marketing and sales, and how to start without a large IT team.
A CRM adoption guide for small businesses
How a small B2B company chooses a CRM, sets up a pipeline that matches how it really sells, rolls it out in 30 days, and gets salespeople to keep using it, including how to record leads that arrive from AI search.
CRM vs Excel for customer management: when to switch
An honest comparison of Excel and CRM for small B2B companies: when a well-kept spreadsheet is enough, the signs that it is time to switch, how to make Excel CRM-ready, and how to move without losing data.
Meet Analytics: what changed after each GEO action
Analytics is the Measure stage of flowgen. It records every content edit, publication and distribution, then compares AI crawler visits, cited pages, AI referrals and competitor citations before and after each action.
Account-based marketing for small manufacturers
Account-based marketing without an enterprise budget: how a small manufacturer picks a short list of target accounts, maps the people who decide, plans account-specific touches with sales, and makes sure AI search describes the company well when those accounts research suppliers.
What we discovered about AI crawlers via server log analysis
What server logs from 184 Korean-language sites in the flowgen sample reveal about AI crawler behaviour, and why conventional web analytics misses all of it.
A channel partner strategy for manufacturers
How small and mid-sized manufacturers decide which markets to serve through distributors, how to choose and support partners, how to avoid channel conflict, and how to keep product information consistent across partner pages that AI search reads.
How to turn trade show leads into revenue
A practical playbook for small B2B manufacturers: what to prepare before a trade show, what to capture at the booth, how to follow up within the first five working days, and why visitors now check you in AI search afterwards.
From ranked to recommended: search after answer engines
An opinion piece for Korean marketers on how answer engines change search over the next few years: from links to answers, from rankings to recommendations, what stays the same and what to prepare now.
A lead generation guide for manufacturers
How small and mid-sized manufacturers generate qualified B2B leads: defining a good lead, choosing channels from search and AI answers to trade shows and distributors, building pages that convert, and following up fast enough to win.
Where manufacturers find blog topics: five sources you already have
Five places inside a manufacturing company where good blog topics already exist: sales questions, quote requests, service tickets, trade-show conversations and the questions buyers ask AI, plus a simple way to turn them into a topic backlog.
Is your AI visibility good? Only your competitors can tell you
A visibility score on its own cannot say whether you are winning. How flowgen puts your brand next to the competitors you choose, on the same questions and the same engines, and what to do with the gaps it finds.
The facts AI should trust, kept in one place
Brand Knowledge is where flowgen keeps your verified product and company facts, each with its source. How facts get in, who approves them, and how the rest of flowgen checks and writes from the same record.
Content marketing for manufacturers: a practical guide
How small and mid-sized manufacturers can run content marketing with a small team: which content buyers actually use, how to involve engineers, where to publish in Korea, and how to write pages that AI search can find and cite.
B2B customer journey mapping: a practical guide for small teams
How a small B2B company maps the journey of a buying group from first problem to reorder: the roles involved, the stages, the questions at each step, where AI assistants now appear, and how to turn the map into actions.
Which buyer questions should you win first?
Tracking every question buyers might ask AI produces noise, and tracking the ones you guess produces blind spots. How Prompt Demand ranks real customer questions by opportunity and buying stage, and hands the best ones to Content Agent.
A B2B sales and marketing funnel for manufacturers
How a small manufacturer can define a funnel that fits long sales cycles, samples, distributors and repeat orders, agree on stage definitions, find where deals leak, and add AI search to the top of the funnel.
How to choose a B2B marketing agency: a checklist for small and mid-sized companies
What to prepare before contacting agencies, the questions that reveal real B2B experience, a simple scorecard for comparing proposals, warning signs, and why you should ask every agency how they handle AI search.
Beyond visibility: why accuracy is the second test of AI search
AI answers do more than mention brands: they add comparisons and opinions nobody asked for, and public audits show those answers are often wrong. What the research says, and how a brand can check and correct what AI says about it.
In-house, agency, freelancers or an AI-assisted team: choosing a marketing setup for a small B2B company
A practical comparison of four ways a small B2B company or manufacturer can run marketing: hiring in-house, using an agency, working with freelancers, or a small team supported by AI tools, and how AI search changes the choice.
Five kinds of buying questions people ask AI
Shoppers and business buyers now bring purchase-stage questions to AI chat. How to recognise commercial-intent prompts, sort them into five types, and build a prioritised list for a Korean brand.
An annual marketing plan for a small manufacturer
How a small manufacturer with no marketing department builds a one-year plan: starting from the sales target, reviewing last year, choosing three priorities, a quarterly calendar, a monthly routine, budget lines and the numbers to review.
A new product launch plan for small and mid-sized manufacturers
How a small B2B team plans a product launch in eight weeks: who the product is for, the launch assets, the channels, the first 90 days, and how to make sure AI search can describe the new product correctly.
Product data that AI shopping answers can use
When shoppers ask ChatGPT, Gemini or Naver's shopping agent what to buy, the answer is built from product data the engine can read. What that data is, where engines find it, and what Korean sellers should publish on their own site and on marketplaces.
A two-page GTM plan template
A go-to-market plan that fits on two pages: twelve sections, what to write in each, an illustrative filled example for a small manufacturer, and a box for how buyers will find you in AI search.
Go-to-market strategy for B2B manufacturers
A practical go-to-market framework for small and mid-sized B2B manufacturers: choosing the first segment, the value proposition per buyer role, channels and commercial terms, the sales motion, and how to stay in the answer when buyers ask AI.
Mapping the sources behind AI answers
AI answers draw on a handful of source types: brand sites, news, reviews and communities, marketplaces, directories and video, with Naver Blog and Cafe playing a large role in Korea. How to audit which ones are cited for your questions and decide where to invest.
How to write a B2B value proposition
A practical method for small B2B companies and manufacturers to write a value proposition buyers understand in one read: the four parts, a fill-in template, before-and-after examples, how to test it, and how to make AI search repeat it.
How to draw a product positioning map and actually use it
A step-by-step guide to building a positioning map for a B2B product: choosing axes buyers care about, placing competitors on evidence, reading the gaps, and comparing your map with how AI search already positions you.
How to find your product's real differentiation points
A practical method for small B2B manufacturers to find differentiation that is true, matters to buyers and can be proven, and to state it so that buyers and AI search describe the product the same way.
Competitor analysis for manufacturers
A practical competitor analysis for small and mid-sized manufacturers: who your real competitors are, what to compare, where to find the information, how competitors appear in AI answers, and how to turn findings into action.
Timing your AI answer checks
The same question can get a different AI answer an hour later, in a new session or after a model update. How to schedule monitoring so that this month's results can be compared with last month's.
DIY market research for small manufacturers
How a small manufacturer can run useful market research on a small budget: start from a decision, use free public data, interview customers, mine your own sales records, and check what AI assistants say about your market.
B2B buyer personas: a worked factory example
How to write buyer personas for an industrial purchase, using an illustrative factory example with four roles: the plant manager, purchasing, the engineer and the owner, plus the questions each one now asks AI.
What it takes to appear in an AI trip plan
A practical guide for Korean hotels, pensions, tour operators and OTAs: the trip-planning questions travellers put to AI, the facts an engine needs before it suggests a stay or a tour, and the places it looks for them.
How much sampling makes an AI visibility number trustworthy
AI answers change from one run to the next, so a visibility number is an estimate. How the number of prompts, repeated runs, frequency and averaging window affect how far you can trust it, with a sampling plan for small and large brands.
How a manufacturer defines its ideal customer profile
A practical way for small and mid-sized manufacturers to define an ideal customer profile from their best existing accounts, write it on one page, and use it in sales, trade shows, distributor work and AI search.
B2B vs B2C marketing: the differences that matter
How B2B marketing differs from B2C in buyers, decisions, sales cycles, channels and content, what small B2B companies can borrow from consumer marketing, and how AI search is changing both.
Do AI mentions bring visitors? How to find out
Most people who read an AI answer never click a link, so referral traffic undercounts what a mention does. The signals that reveal the rest, from branded search and direct traffic to customer surveys and before-and-after comparisons, and how to combine them.
See where your brand stands in AI search today
A free GEO report shows whether AI names you, which competitors it prefers and which questions you are missing.
Turn GEO insights into action
Find the gaps. Create the content. Measure the change.