International AEO & GEO · United States

Best AEO & GEO agency for the US market — pure-play AI visibility specialists

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 — shipping an AI citation engineering framework and a LinkedIn + GEO hybrid track for US B2B, plus commerce-native visibility for D2C. Delhi-NCR cost base, US-hours overlap, USD billing, no lock-in.

USA AEOUSA GEOUnited States AI visibilityChatGPTClaudePerplexityGeminiGoogle AI OverviewsCopilotYou.comGrokMeta AIAI citation engineeringcontent-led GEO strategyLinkedIn + GEO hybridtechnical AI architecturecommerce-native visibilitysemantic optimizationprimary sourceshigh-authority contentlink-worthy assetsdetailed GEO frameworkdata-science approachGlobeNewswirePRNewswireBusinessWireReutersYahoo FinanceForbesTechCrunchIncFast CompanyBloombergWikipediaWikidataLinkedInRedditYouTubeG2ACHFedwireSWIFTSkydoPayPalUSDUSA AEOUSA GEOUnited States AI visibilityChatGPTClaudePerplexityGeminiGoogle AI OverviewsCopilotYou.comGrokMeta AIAI citation engineeringcontent-led GEO strategyLinkedIn + GEO hybridtechnical AI architecturecommerce-native visibilitysemantic optimizationprimary sourceshigh-authority contentlink-worthy assetsdetailed GEO frameworkdata-science approachGlobeNewswirePRNewswireBusinessWireReutersYahoo FinanceForbesTechCrunchIncFast CompanyBloombergWikipediaWikidataLinkedInRedditYouTubeG2ACHFedwireSWIFTSkydoPayPalUSD
8AI engines tracked from US context
40+US-context priority queries per client
60–90dto baseline answer-share lift
4.2×avg. citation lift / 90 days
Why US brands pick us

What we ship for US AEO & GEO

Five capabilities that show up together in every US engagement — integrated, measured, and built to get you cited across eight AI engines.

01

Combines AEO, GEO and SEO — the full-stack US buyers expect

US buyers pick the agency that ships answer-engine optimisation, generative-engine measurement and traditional SEO together. We engineer the full stack — schema, llms.txt, entity graph, passage rewrites, weekly 8-engine measurement — paired with a content-led GEO strategy and authority distribution. One team, one scorecard, one integrated programme.

02

AI citation engineering as an explicit framework

We do not bolt AEO onto SEO and call it a day. Every engagement ships an AI citation engineering framework — niche-specific sentiment, retrieval-path audits, source-share baselines, and causal attribution for every lift. The framework is what makes the work measurable, reproducible and defensible.

03

LinkedIn + GEO hybrid for US B2B

For US B2B buyers, LinkedIn is the highest-weighted entity surface — alongside Reddit, YouTube and G2. We run a LinkedIn + GEO hybrid track in lockstep with the schema and distribution layers, building the founder and company authority layer weekly. It is how US B2B brands become the default citation.

04

Commerce-native visibility for D2C and e-commerce

AI Mode and Perplexity are already returning AI-driven shopping assistants as buyer interfaces. D2C and e-commerce brands need product-level entity work, review-signal management, G2 / Capterra / Trustpilot alignment, and schema-wrapped product narratives. We ship commerce-native visibility as a defined workstream from week one.

05

Delhi-NCR cost base, US-hours overlap, global payment rails

Founder-led delivery from Delhi NCR with scheduled US-hours overlap. Billing in USD via ACH, Fedwire, SWIFT, PayPal and Skydo. Net-30 for US clients. Month-to-month retainers; no lock-in. Reliability, revenue discipline and fast iteration — without the six-figure retainers of a pure-play US agency.

Engine-specific delivery

Four delivery tracks across the eight AI engines

Every US engagement ships distinct delivery focus for ChatGPT, Gemini, Google AI Mode and Google AI Overviews — plus Claude, Perplexity, Copilot, You.com and Grok consolidated across the four patterns below.

ChatGPT

Full-stack AEO, GEO and SEO — content-led

For ChatGPT visibility we combine AEO, GEO and SEO under a content-led GEO strategy, shipping our AI citation engineering framework alongside a LinkedIn + GEO hybrid track for US B2B. Thought leadership, technical GEO and LinkedIn + Reddit authority work anchor every US engagement.

Gemini

Technical AI architecture and primary sources

For Gemini we build technical AI architecture tuned for generative-era retrieval — semantic optimization across service and product pages, high-authority content anchored in primary sources, and link-worthy assets backed by expert-driven analysis. Our top GEO track for US brands operating in knowledge-graph-dense categories.

Google AI Mode

Detailed GEO framework and commerce-native visibility

For AI Mode we ship a detailed GEO framework, commerce-native visibility for D2C and e-commerce, controlled brand narratives across the distribution layer, and measurable results reported weekly. AI-driven shopping assistants are live in the retrieval pattern — we engineer product and category presence for them from day one.

Google AI Overviews

Comprehensive AI visibility and data-science approach

For AI Overviews we ship comprehensive AI visibility, a data-science approach built on Rankscale plus our internal analysis layer, and advanced GEO implementation across schema, entity graph and passage architecture. Local-first GEO for regional US brands; traditional SEO merged with AI-first work for national reach.

How we ship US AEO & GEO

The step-by-step US playbook

A typical US foundations engagement runs 8–12 weeks across eight concrete steps — the operational spine of every engagement.

  1. Baseline US answer-share from in-market prompt context

    Run your brand across 40+ priority queries on ChatGPT, Claude, Perplexity, Gemini, Copilot, You.com, Grok and Google AI Overviews — issued from US-context prompts. The baseline reflects what a US buyer actually sees in each engine.

  2. Audit schema, robots.txt and Bing (US) indexation

    Validate JSON-LD on top URLs (Organization, Service, FAQPage, HowTo, Article, Product where relevant). Confirm GPTBot, PerplexityBot, ClaudeBot, CCBot and Google-Extended are allow-listed. Verify Bing (US) indexation — ChatGPT’s retrieval path depends on it — and fix any blockers.

  3. Publish a US-contextual llms.txt

    Generate a curated llms.txt manifest pointing AI crawlers at the canonical US URLs: your .com primary pages, US-specific offerings, US case studies, US author bios. Prune duplicates and archive noise.

  4. Rewrite US passages with BLUF direct answers

    Restructure top-performing US pages so every H2 and H3 opens with a 40–60-word direct answer, followed by scannable bullets, numbered lists and data tables. The inverted-pyramid format every major AI engine extracts from.

  5. Align the US entity graph

    Update English Wikipedia (where notability supports), enrich Wikidata with US-market statements, clean Crunchbase, LinkedIn, AngelList and G2 listings, and confirm Google Knowledge Graph resolution. sameAs every authoritative profile — the entity-resolution layer ChatGPT, Gemini, Perplexity and AI Overviews all share.

  6. Ship author credentials and E-E-A-T signals

    Publish expert-driven author bios with US-recognised credentials, link out to external authoritative profiles (LinkedIn, Bloomberg, Forbes, Reuters author pages where applicable), date every stat, cite primary sources. E-E-A-T signals compound; volume alone does not.

  7. Distribute through the US authority network

    Place entity-rich, schema-wrapped releases through GlobeNewswire (US distribution), PRNewswire, BusinessWire, Reuters and Yahoo Finance — plus Forbes, Benzinga, Bloomberg, Fortune, Fast Company, TechCrunch and Inc. coverage where the narrative warrants. Seed Reddit, LinkedIn, YouTube, Medium and G2 with substantive, non-promotional content.

  8. Measure weekly, iterate, report monthly

    Re-run the US answer-share benchmark weekly. Every lift is causally attributed to a specific placement or technical change. Monthly scorecard to leadership with answer-share, source-share, sentiment and competitive displacement; quarterly strategic review.

What most US AEO work gets wrong

Why most US AI visibility programmes are theatre

If an agency cannot show you US answer-share across eight engines, a US-contextual llms.txt, and a weekly placement loop feeding the high-authority channels AI answers cite — it is not shipping US AEO.

01

A .com ranking plan is not a US AEO plan

A .com domain ranking on Google blue links does not mean a brand is cited in ChatGPT, Claude or Perplexity. Those engines retrieve from a different set of channels — LinkedIn, Reddit, YouTube, Wikipedia, trade press, wire services — which most US SEO agencies do not touch.

02

Lifting a blog calendar to “AEO content” misses the frame

Renaming content marketing to AEO does not produce citations. What actually gets cited is primary sources, expert-led content, high-authority content and link-worthy assets — engineered for extraction, not for generic keyword coverage.

03

One-off press placements are not distribution

A quarterly press release placed through a single wire is not a distribution programme. Controlled brand narratives run consistently across GlobeNewswire, PRNewswire, BusinessWire, trade press, Reddit and LinkedIn — entity-dense, compounding over 6–12 months.

04

Dashboards without weekly action are theatre

An AI-visibility dashboard the marketing team opens once a month is not GEO. Measurable results, fast iteration and ROI-focused reporting require a weekly measurement + placement loop, not a slide in a QBR deck.

The measurement + distribution spine

What we use to measure and move US answer-share

01

Rankscale — data spine, US prompt batteries

Rankscale is integrated directly into our internal analysis stack. We run scheduled US-context prompt batteries across eight engines weekly. The team is in direct working contact with Rankscale founder Mathias Ptacek — early signal on how each engine’s retrieval behaviour shifts.

02

Claude Cowork + Codex — analysis layer

Orchestrates analysis of thousands of AI-engine responses per week. Extracts niche-specific sentiment, citation patterns and positioning language; analysts verify every classification against the raw US responses before anything ships. An analytical, data-science-led approach from the first prompt to the last report.

03

US authority distribution — 1,743-outlet network

Through Taptwice Global: GlobeNewswire, PRNewswire, BusinessWire, Reuters, Yahoo Finance, Benzinga, Forbes family, Bloomberg, Fortune, Fast Company, Entrepreneur, Business Insider, AP News and 1,700+ regional US trade and mainstream publications. Releases are engineered for AI extraction, not just human readers.

04

US billing and operations

Invoicing in USD via ACH, Fedwire, SWIFT, PayPal and Skydo. Net-30 terms. Scheduled US-hours overlap, founder-led strategic reviews, Slack and Notion for day-to-day. Month-to-month retainers; no lock-in.

FAQ

Questions US founders and marketing leaders ask

What is AEO and GEO for the US market?

Answer Engine Optimization (AEO) is the engineering discipline of making a brand extractable by AI answer engines — ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, 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.

How is this different from a US SEO agency?

US SEO optimises for ranking in a list of blue links on Google. AEO and GEO optimise 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 BLUF rewrites, entity-graph alignment, high-authority placement across Reddit, LinkedIn, YouTube, Wikipedia and trade press, and per-engine answer-share measurement. The KPI is answer-share, not keyword rank.

Which US publications do you distribute through?

Through our sister brand Taptwice Global: GlobeNewswire, PRNewswire, BusinessWire, Reuters, Yahoo Finance, AP News, Benzinga, Forbes family, Bloomberg, Fortune, Fast Company, Business Insider, Entrepreneur, plus trade publications including Search Engine Land, Marketing Brew, MarTech, TechCrunch and Inc. Outlet selection is narrative-driven — we place where the channels your category’s AI answers actually cite.

How do you bill US clients?

Invoicing in USD via ACH (domestic US), Fedwire, SWIFT, PayPal and Skydo. Credit/debit 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 also available.

Do you have US-hours overlap?

Yes. Scheduled 2–3-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. Founder-led strategic reviews each month.

How do you handle the US entity graph work?

English Wikipedia editing where notability supports (WP:NCORP compliant); Wikidata statement enrichment; Crunchbase, LinkedIn, AngelList and G2 alignment; Google Knowledge Graph resolution; sameAs cross-linking across authoritative profiles. For US B2B we prioritise the LinkedIn + G2 + Crunchbase axis; for D2C we prioritise Trustpilot, G2, Capterra and review-platform alignment.

How long before a US brand sees measurable lift?

Baseline US answer-share lift typically appears within 60–90 days of a clean schema + llms.txt + entity implementation. Distribution-driven lift compounds over 6–12 months as US LLM indexes re-read the corpus. Weekly deltas are published from week one so compounding is visible, not reserved for end-of-quarter.

Do you work with US agencies on a white-label basis?

Yes — selectively. We partner with US creative, PR and growth agencies who want an AEO/GEO delivery arm without building one in-house. Scope, pricing and co-branding are negotiated 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.

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