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AI search visibility for brands growing in the US.
Search, SEO and GEO · Updated
Dahna's generative engine optimization (GEO) service checks how AI search describes your brand, improves the pages behind those answers, and records what changes.
Discuss your AI search prioritiesWho this is for
- Teams that want to understand how AI answers describe their brand
- Brands with useful expertise that is difficult to find on their website
- Teams that need to separate AI referrals, citations, and qualified inquiries
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
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.
Why Dahna
You work directly with Ana. Ana Yon is a marketer with professional experience since 2019 across beauty, fashion, entertainment and technology. Jae Lee, an engineer with nine years across AI, adtech and other fields who built Dahna's measurement, supports data collection, campaign reporting and process improvement. Both work in Korean and English.
Search eligibility checked first
We review crawling, indexing, snippet eligibility, and internal links. Google does not require special AI files or special structured data for AI Overviews or AI Mode, and existing markup should agree with the visible page.
Pages that answer a real decision
We explain product use, the intended customer, the evidence available, and the limits of a claim, using original interviews, demonstrations, and comparisons where they help.
Citations, visits, and fetches kept apart
A saved answer can show a citation, analytics a referred visit, a crawler request a fetch. We report each separately and connect visits to inquiries where the data supports it.
How we work
Record a baseline
Agree on buyer questions, target pages, and the AI products to observe. Mark missing answer observations as unmeasured.
Fix verified gaps
Prioritize documented access problems, inconsistent facts, and missing explanations, and prepare evidence that shows its source, author, and limits.
Compare like with like
Record question, product, search mode, locale, date, full answer, and cited URLs, and compare equivalent checks while allowing for variable answers and small samples.
What you receive and when
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 the first 90 days runHow 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. For Google AI Overviews and AI Mode, the same search fundamentals apply and no additional technical requirements exist. We add product-specific answer observations to ordinary search, referral and inquiry reporting; we do not assume other providers use identical 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.
Questions before you choose a scope
Does your brand need a separate GEO project?
Identify the discovery problem and what existing website or SEO work already covers before adding another scope.
Which buyer questions to include in AI-search monitoring
Build a balanced set of branded and category questions, with the conditions and limits of each observation recorded.
How to check what an AI citation actually supports
Compare each claim with its cited source and separate an accurate mention from an unsupported product statement.
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Tell us your story
What to expect
- A discussion about your brand and the services you need
- A proposal outlining scope, deliverables, and pricing
- Bilingual coordination in English and Korean
- No obligations, no pressure