Pure-play AEO & GEO agency for the US market — AEO, GEO and SEO shipped together and measured weekly
Taptwice Media is a pure-play AEO and GEO agency engineered for the US market. We combine Answer Engine Optimization, Generative Engine Optimization and traditional SEO under a content-led GEO strategy, with an AI citation engineering framework and a LinkedIn plus GEO hybrid track for US B2B, and commerce-native visibility for D2C. Delhi NCR delivery hub, US-hours overlap, USD billing, no lock-in.
Why do US brands pick a full-stack AEO and GEO agency?
Four capabilities that show up together in every US engagement.
Integrated, measured, and built to get your brand cited across eight AI engines.
AEO, GEO and SEO shipped together, instead of three vendors with three reports.
Full-stack, not bolted on
US buyers pick the agency that ships answer engine optimization, generative engine measurement and traditional SEO together. That means schema, llms.txt, entity graph, passage rewrites and weekly 8-engine measurement, paired with a content-led GEO strategy and authority distribution.
AI citation engineering as a framework
Every engagement ships an AI citation engineering framework: niche-specific sentiment, retrieval-path audits, source-share baselines and causal attribution for every lift. It is what makes the work measurable and repeatable.
LinkedIn plus GEO for US B2B
For US B2B buyers, LinkedIn is the most heavily weighted entity surface, alongside Reddit, YouTube and G2. A LinkedIn plus GEO track runs in lockstep with the schema and distribution layers, building founder and company authority every week.
Commerce-native visibility for D2C
AI Mode and Perplexity already return AI-driven shopping assistants as buyer interfaces. D2C and e-commerce brands need product-level entity work, review-signal management, G2, Capterra and Trustpilot alignment and schema-wrapped product narratives, from week one.
How is each AI engine handled for US brands?
Four delivery tracks across eight AI engines.
ChatGPT, Gemini, Google AI Mode and Google AI Overviews each get their own focus, and Claude, Perplexity, Copilot, You.com and Grok are consolidated across the same patterns.
Full-stack AEO, GEO and SEO, content-led
AEO, GEO and SEO combine under a content-led GEO strategy, with the AI citation engineering framework alongside a LinkedIn plus GEO track for US B2B. Thought leadership, technical GEO and LinkedIn and Reddit authority work anchor every US engagement.
Technical AI architecture and primary sources
Technical AI architecture tuned for retrieval: semantic optimization across service and product pages, high-authority content anchored in primary sources, and link-worthy assets backed by expert analysis. This is the lead GEO track for brands in knowledge-graph-dense categories.
A detailed GEO framework and commerce-native visibility
A detailed GEO framework, commerce-native visibility for D2C and e-commerce, controlled brand narratives across the distribution layer, and results reported weekly. Product and category presence is built for AI-driven shopping assistants from day one.
Comprehensive AI visibility, data-led
Comprehensive AI visibility and a data-science approach built on our internal analysis layer, with advanced GEO implementation across schema, entity graph and passage architecture.
How does a US AEO and GEO engagement run?
A typical foundations engagement runs 8 to 12 weeks.
Eight concrete steps, grouped here into five phases. This is the operating spine of every engagement.
Baseline US answer-share
Your brand is run across 40+ priority queries on ChatGPT, Claude, Perplexity, Gemini, Copilot, You.com, Grok and Google AI Overviews, from US-context prompts, so the baseline shows what a US buyer actually sees.
Audit schema and crawl access
JSON-LD is validated on the top URLs, and GPTBot, PerplexityBot, ClaudeBot, CCBot and Google-Extended are confirmed as allowed. Bing (US) indexation is checked too, because ChatGPT’s retrieval path depends on it.
llms.txt and direct-answer rewrites
A curated, US-contextual llms.txt points AI crawlers at the canonical US pages. Top pages are rewritten so every H2 and H3 opens with a 40 to 60 word direct answer, followed by scannable lists and tables.
Entity graph and credentials
LinkedIn, Crunchbase, AngelList and G2 profiles are cleaned and cross-linked with sameAs, Google Knowledge Graph resolution is confirmed, and author credentials and E-E-A-T signals ship alongside.
Distribution and the weekly loop
Placements run through the channels AI answers cite, and the same questions are re-run every week, so each lift is tied to the work that caused it.
8AI engines tracked from US context
40+US-context priority queries per client60–90dto baseline answer-share lift
4.2×avg. citation lift / 90 days
What does most US AEO work get wrong?
If an agency cannot show US answer-share across eight engines, a US-contextual llms.txt and a weekly placement loop, it is not shipping US AEO.
A .com ranking plan is not a US AEO plan. Ranking on Google blue links does not mean a brand is cited in ChatGPT, Claude or Perplexity, which retrieve from LinkedIn, Reddit, YouTube, trade press and wire services.
Renaming a blog calendar as AEO content misses the point. What gets cited is primary sources, expert-led content and link-worthy assets, engineered for extraction.
One press placement is not distribution, and a dashboard opened once a month is not GEO. Both need a weekly measurement and placement loop.
What do we use to measure and move US answer-share?
The measurement and distribution spine.
Four parts of every US engagement
Four parts
Weekly US prompt batteries across eight engines
Scheduled US-context prompt batteries run across eight engines every week on an integrated measurement stack, giving an early read on how each engine’s retrieval behavior shifts.
Analysts verify every classification
Thousands of AI-engine responses a week are analyzed for niche-specific sentiment, citation patterns and positioning language, and analysts check every classification against the raw US responses before anything ships.
US authority distribution through Taptwice Global
Placements across wire services and trade and mainstream press, including GlobeNewswire, PRNewswire, BusinessWire, Reuters, Yahoo Finance, Benzinga, Forbes, Bloomberg, Fortune, Fast Company, Entrepreneur, Business Insider and AP News, plus 1,700+ regional US publications. Releases are engineered for AI extraction, not only for human readers.
USD billing with US-hours overlap
Invoicing in USD via ACH, Fedwire, SWIFT, PayPal and Skydo, Net-30 terms, scheduled US-hours overlap, founder-led strategic reviews, and Slack and Notion for day-to-day work. Month-to-month retainers, no lock-in.
What connects to US AEO and GEO?
The rest of the engagement.
US work sits inside International AEO and GEO and runs alongside Answer Engine Optimization, Generative Engine Optimization, authority content distribution, AI brand sentiment management and AI brand mention tracking.
Questions US founders and marketing leaders ask
Answer Engine Optimization (AEO) is the discipline of making a brand extractable by AI answer engines such as ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews and Copilot in the US retrieval context. Generative Engine Optimization (GEO) is the measurement and iteration layer above it: weekly answer-share and source-share tracking across eight engines from US-context prompts. Both run together.
US SEO optimizes for ranking in a list of blue links on Google. AEO and GEO optimize for being cited as a source inside an AI-generated answer across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews. Schema techniques overlap, but AEO adds llms.txt, passage-level direct-answer rewrites, entity-graph alignment, authority placement across Reddit, LinkedIn, YouTube and trade press, and per-engine answer-share measurement. The KPI is answer-share, not keyword rank.
Through our sister brand Taptwice Global: GlobeNewswire, PRNewswire, BusinessWire, Reuters, Yahoo Finance, AP News, Benzinga, Forbes, Bloomberg, Fortune, Fast Company, Business Insider and Entrepreneur, plus trade publications including Search Engine Land, Marketing Brew, MarTech, TechCrunch and Inc. Outlet selection is narrative-driven: we place where your category’s AI answers actually cite.
Invoicing in USD via ACH (domestic US), Fedwire, SWIFT, PayPal and Skydo. Cards through Stripe on request. Net-30 terms for US engagements. Month-to-month retainers by default, no lock-in. One-time packages and fixed-scope projects are also available.
Yes. Scheduled 2 to 3 hour overlaps with US Eastern, Central and Pacific work hours are built into every US engagement, for real-time Slack, weekly status calls and monthly scorecard reviews, with a founder-led strategic review each month.
We align the authoritative entity records where notability supports it, clean Crunchbase, LinkedIn, AngelList and G2 listings, confirm Google Knowledge Graph resolution and cross-link every authoritative profile with sameAs. For US B2B we prioritize the LinkedIn, G2 and Crunchbase axis. For D2C we prioritize Trustpilot, G2, Capterra and review-platform alignment.
Baseline answer-share lift typically appears within 60 to 90 days of a clean schema, llms.txt and entity implementation. Distribution-driven lift compounds over 6 to 12 months as AI indexes re-read the corpus. Weekly changes are published from week one, so the compounding is visible and not saved for the end of a quarter.
Yes, selectively. We partner with US creative, PR and growth agencies that want an AEO and GEO delivery arm without building one in-house. Scope and co-branding are agreed per partnership. Contact us to discuss.
Not sure where to start in the US?
Talk to us. We will benchmark your brand across eight AI engines from US-context prompts, show you the source-share gap against your named competitors, and map the shortest path to getting cited — usually a 20-minute call or a WhatsApp thread.
