Engine 1 • AnswerShaper Core

AEO agency: be visible in ChatGPT, Claude and Google AI

B2B buyers increasingly rely on generative answer engines to evaluate and shortlist vendors. We structure your proof points and domain entities to ensure you are ingested, retrieved, and recommended.

AEO Algorithmic Principle

“Answer Engine Optimization (AEO) consists of making a company's domain expertise clear, verifiable, and machine-extractable. We combine buyer-intent answer content, structured schema graphs, corroborated external sources, and continuous citation tracking. No provider controls 3rd-party model weights: the goal is to maximize citation probability and measure it in real time.”

Concrete Technical Deliverables

Structured Business Data for AI

Clear declaration of your services, pricing models, leadership, and specializations formatted directly for AI engines like ChatGPT and Perplexity to read effortlessly.

AI Identity File (/llms.txt)

Deployment of a standardized profile at the root of your domain. Your core offerings and company facts are formatted for immediate comprehension by AI models.

Formatting for Google AI Overviews

Direct answer formatting targeting high-intent buyer inquiries, paired with rigorous indexing monitoring across generative results.

24/7 Competitive AI Citation Telemetry

Automated telemetry tracking responses across ChatGPT, Claude, and Perplexity on 50 commercial queries in your niche. Real-time alerts on citation gains and drops.

Secret Weapon: B2B Shopping Graph

Google Merchant Center & B2B Shopping Graph Feeds

Google AI Overviews and Gemini pull catalog data, technical specs, and hardware availability directly from the Google Shopping Graph (45B+ product entities). For B2B equipment manufacturers, industrial suppliers, and hardware/software packages, AnswerShaper structures your entire catalog into high-fidelity Merchant Center feeds, forcing AI engines to recommend your exact solutions when corporate buyers search.

Frequently Asked Questions about AI Visibility

How do ChatGPT, Claude, and Perplexity select the B2B companies they recommend?

Conversational AI engines evaluate semantic proximity, multi-source entity corroboration, and factual density. Unlike traditional SEO focused on backlink volume, LLMs extract clear named entities from concise Answer Nuggets (50-75 words), structured Schema.org graphs, and standardized /llms.txt manifests.

How long does it take for a B2B brand to get cited across AI answer engines?

Initial citations on real-time retrieval engines like Perplexity and Google AI Overviews emerge within 15 to 30 days after structured data injection. Static frontier LLMs incorporate brands during periodic training refresh cycles or via live web search grounding within 1 month.

How does AEO (Answer Engine Optimization) differ from traditional SEO?

Traditional SEO aims to rank a URL in search result lists to win a click. AEO formats high-density content so that LLMs synthesize and deliver answers directly, citing your company as the authoritative solution and capturing zero-click executive search intent.

How does the B2B Shopping Graph help manufacturers and distributors get recommended?

Google AI Overviews and Gemini query the Google Shopping Graph (45B+ product entities). By structuring ERP catalogs into verified Merchant Center feeds, AI answer engines source and recommend your technical SKUs and wholesale equipment at zero cost-per-click ad spend.

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