AI search visibility for brands growing in the US.

Understand how AI search answers the questions your US buyers ask. We check how answers describe your brand and products, improve the supporting pages, and track cited sources, referred visits and received inquiries as separate outcomes.

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Search, SEO and GEO · Updated

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Connect the answer to evidence you can inspect.

Consistent facts and original evidence give your pages something useful to say. Saved observations show whether AI answers actually cite them.

Verified facts

Keep company, product and service information consistent across the pages that describe your brand.

Original evidence

Publish material a reader can check: observations, methods, examples and supporting sources.

A clear answer

Explain one buyer question on an accessible page, with structured data that matches the visible content.

Observed citations

Save the question, AI product, date, answer and cited URL under the same repeat-check conditions.

Question asked
AI product
Date checked
Answer captured
Cited URL
Repeat-check conditions
Citation observations, referred visits and inquiries are three different measurements. None substitutes for the others, and inclusion is not guaranteed.

What's included

  • Search and content review

    Check priority pages for search eligibility, clear answers, and a useful next step for the customer.

  • Brand facts and markup

    Reconcile names, product information, people, and business facts across owned pages. Maintain relevant structured data without presenting it as a citation guarantee.

  • Original evidence and references

    Attributable interviews, product demonstrations, and useful comparisons, plus editorial or partner opportunities where the brand has something useful to add.

  • Answer and referral monitoring

    A fixed set of questions and a collection method, with saved answers and cited URLs kept beside separate referral and inquiry reporting.

Who this is for

  • US and international brands that want to understand the answers their US buyers see
  • Brands with useful expertise that is difficult to find on their website
  • Korean-English teams that need comparable answer checks across languages and markets

Working with Dahna

Deliverables and timing

What you receive

Depending on the agreed scope:

  • A baseline of agreed buyer questions, with the product, search mode, locale, dated answers and cited URLs recorded for each collected observation

  • A prioritized page and brand-fact review that identifies the evidence behind each proposed change

  • A comparison of repeated answer observations, with referral visits and qualified inquiries reported separately and uncollected results marked unknown

How long it takes

Discovery records the baseline in week 1: the buyer questions, target pages and AI products to observe. In a combined plan with other channels, AI search visibility work sits in the Learn and refine phase, from week 9 and ongoing.

These are planning windows rather than guarantees. Product readiness, approvals, inventory, access and budget may change the sequence or pace.

How this supports your next stage of growth

  • Build on the work

    Build useful answers around decisions your customers actually make. Strengthen the evidence and independent references behind those answers, then compare observed citations over time. Accessible pages and complete markup establish readiness; they do not promise inclusion.

  • What we need from your team

    Bring the buyer questions you want to answer, priority pages, verified company and product facts, and evidence you can publish. Agree which AI products and markets to observe so repeat checks use the same questions and conditions.

FAQ

GEO describes work on visibility in generated answers. Google's generative search features build on SEO fundamentals, including accessible, indexable pages and useful content. We also review the site's Search Console setting for inclusion in generative AI features and add product-specific answer observations to search, referral and inquiry reporting. Other providers have their own access policies and systems.

Google says no new AI text files are required for its search features. An llms.txt file can be maintained as a directory of useful resources, but its presence alone is not evidence that an AI product read it or that citations improved. We prioritize useful accessible pages and actual observations.

Save the actual answer and cited URLs for a consistent set of questions, with the product, search mode, locale and date. Report AI-referred sessions and qualified inquiries separately. Research-agent output is labeled as a research proxy, and products without collected answers remain unmeasured.

No. Providers choose what to display, and answers can vary. Dahna can commit to an agreed scope of research, content improvements and documented checks. Citation placement, rankings and inquiry volume cannot be guaranteed.

Yes, when the relevant products and collection access are available. We define separate English and Korean question sets around the same buyer decisions and record the product, locale, search mode and date. Results stay separated by language and market: an English-language citation does not establish Korean visibility, and a Korean-language prompt does not prove the user is in Korea. Korean headquarters can review the product facts and proposed changes with us in Korean.

Guides

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What to expect

  • A reply within 24 hours, including weekends
  • An initial strategy discussion about your goals, audience and priorities
  • A proposal outlining scope, deliverables, and pricing
  • Bilingual coordination in English and Korean
  • No obligations, no pressure