BrandInAnswers is a managed GEO service for consumer technology and ecommerce teams, including Chinese brands expanding overseas. We research buyer questions, review answers on agreed platforms such as ChatGPT, Gemini, Perplexity, and Google AI Overviews, improve verified English product content, and report what changes. We deliver the underlying question and answer records; this is a scoped service, not a live software dashboard.
Or email Ningbo Li directly: ningbo842@gmail.com
AI assistants synthesize information from multiple sources. We cannot control their recommendations, but we can check what appears today, repair unclear or outdated product information, develop relevant supporting content, and document what happens next.
Choose a focused pilot or combine these workstreams for a broader category program.
Understand the questions, competing brands, and sources shaping your category.
Start with a focused view of how your brand appears for relevant buying questions. We define the market and measurement method before recommending content.
TYPICAL DELIVERABLESTurn product knowledge into useful guides, comparisons, and pages worth finding.
We develop and improve content around real product decisions. Specifications, use cases, and limitations are checked against approved product information.
TYPICAL DELIVERABLESFind relevant publications and build a plan for credible mentions beyond your site.
Discover the publications and resources relevant to your buyers. We prepare useful editorial material and coordinate outreach within the scope you approve.
TYPICAL DELIVERABLESTrack mentions and citations consistently. Know what changed and what comes next.
We use a repeatable question set and record platform, market, date, and source URLs. Reports distinguish observations from proven business outcomes.
TYPICAL DELIVERABLESWe repeat an agreed set of buying questions and record the platform, market, date, answer, and source URLs. A recommendation position or share-of-voice figure describes those sampled answers only; it is not a fixed AI ranking.
For each agreed buyer question, record whether the brand is named or recommended and where it appears in the sampled answer.
Log the exact cited URLs, check the claims they support, and identify relevant sources citing competitors.
Compare brand appearances with agreed competitors across the same question set and platform. This is a sample measure, not market share.
Check model accuracy and limitations; review AI referrals and qualified inquiries when the client grants analytics access.
A practical first scope for teams that want a baseline, content improvements, and a second round of measurements.
Select a category, two agreed AI platforms, and three comparison brands. Capture answers and cited URLs.
Research and prepare six agreed pages. Check product claims and review drafts with your team.
Publish approved pages or hand over files. Improve internal links and prepare three editorial pitches.
Repeat the question set, review available referral data, and identify the next work to prioritize.
Example scope. Final deliverables depend on your site and publishing access. Publishers decide whether to accept submissions; AI recommendations and commercial results cannot be guaranteed. Pricing is quoted after scoping, with third-party costs listed separately.
A proposal specifies the product category, target market, platforms, question count, editorial volume, review rounds and reporting dates. Use the example above to develop a scope for your category and team.
Freeze the question set and save the full answer, market, date, platform, recommendation status and cited URLs for every successful capture. Keep failed runs separate.
Editable question map, answer log and prioritized source and page issues.
The brand confirms models, specifications, regional availability and limitations. Drafts mark claims that need approval before publishing.
Product facts, final copy, account access and any outreach or publication.
Rerun the same agreed question panel, retain the original responses and disclose changes to market or platform conditions. Review referrals only where analytics access exists.
Agreed question panel, approved page changes, source records and repeat reporting.
These guides show our own discovery audit, a sample report, a category pilot, and the measurement behind the work.
Tell us about your product, market, and the answers you want to understand.
ningbo842@gmail.com