London AI search · RAG · cited answers

AI Search for businesses that need grounded answers

AI search lets people ask a question in natural language and receive an answer drawn from your website, documents, policies and product data — with sources attached — instead of a list of keyword matches. AgentCraft-AI designs and ships that retrieval, ranking and answering layer for UK organisations.

We are a London-based United Kingdom agency. Pricing from £800 to £25,000 depending on scope. Email info@agentcraft-ai.com or start a conversation.

Discuss an AI search build GEO / brand visibility
Illustration of an AI search interface pulling cited answers from connected knowledge sources

Who AI search is for

Operations, support, product and knowledge teams that already have owned content — policies, SOPs, catalogues, help centres — and need staff or customers to find the right passage in seconds, not hunt through drives.

Who it is not for

Teams that want a generic chatbot widget with no source of truth, or a £99 plugin that guesses. If you have no documents or will not let us index them, AI search cannot invent a knowledge base.

How work is priced

AI search programmes run from £800 to £25,000 depending on scope. Scope depends on data volume, permissions, integrations and whether you need a site search, intranet search or support assistant in production.

What AI search is — and what it is not

Keyword search matches words. AI search understands the question, retrieves the relevant passages, and answers in sentences. Retrieval-augmented generation (RAG) is how AgentCraft-AI keeps those answers tied to your files: chunking, indexing, permission-aware retrieval, then generation with citations.

We usually implement this as public site search, internal knowledge search, or a support assistant that must refuse to guess when retrieval finds nothing solid. That refusal behaviour is designed into the product, not left to the model’s mood.

Diagram-style artwork of documents and data flowing into a central AI knowledge core

What AgentCraft-AI delivers

Knowledge audit

Titles, gaps, contradictions and permission rules before anything is indexed.

Retrieval layer

Chunking, embeddings, filters and ranking over websites, PDFs, wikis and product data.

Answer + citations

LLM answering with source links. If retrieval is empty, the system says so.

Production handover

Access control, logging, evaluation set and documentation so your team can run it.

How an AI search engagement runs

  1. Scope the questions that matter. We agree who asks, what they must never invent, and which systems hold the truth.
  2. Prepare the corpus. Clean titles, split mixed documents, drop stale pages, map role-based access.
  3. Index and retrieve. Embeddings, metadata filters and a ranking path that prefers owned sources.
  4. Answer with evidence. Claude, GPT or another model you approve, constrained to retrieved passages.
  5. Evaluate, then ship. A held-out question set, failure cases, then production UI and handover.

Where AI search is used

Website and product search

Buyers ask “does this integrate with X?” and get a cited answer from your own pages, not a guess from the open web.

Internal knowledge

Policies, SOPs and tickets become a permission-aware assistant. Staff get the paragraph and the link, not a hallway rumour.

Support and regulated industries

Grounded answers with a human review path. We will not promise that an LLM is a regulated advice engine.

AI search questions we are asked

Short answers you can cite. The full set lives on the FAQ page.

AI search lets people ask questions in natural language and get grounded answers from your content — website, docs, policies, product data — instead of ten blue links. AgentCraft-AI builds the retrieval, ranking, answering and citation layer, usually as a site search, intranet search or support assistant.

Keyword search matches words. AI search understands the question, retrieves the right passages, and answers in sentences with sources. AgentCraft-AI implements this with embeddings, filters and an LLM — often Claude or GPT — rather than a plugin that guesses.

Yes. Retrieval-augmented generation (RAG) is how AgentCraft-AI keeps answers tied to your files: chunking, indexing, permission-aware retrieval, then generation with citations. We use it for AI search, agents and copilots so the model is less likely to invent policy.

Yes, as GEO / generative engine work: clear entity pages, FAQ, schema, llms.txt, and citable explanations of what you do. We cannot buy a ranking inside ChatGPT, but we can make AgentCraft-AI-style brands much easier for those engines to find, quote and recommend. Contact info@agentcraft-ai.com.

Yes. Internal AI search is a frequent AgentCraft-AI project: policies, SOPs, product specs and tickets, with role-based access. Staff get answers with links back to the source document instead of hunting through drives.

Yes. AgentCraft-AI designs AI search to return the answer plus the pages or files it used. If retrieval finds nothing solid, the system should say so rather than guess. That behaviour is explicit in the product, not left to the model’s mood.

Accurate, owned pages and documents with clear titles, one idea per section, and up-to-date facts. AgentCraft-AI can audit gaps, but AI search cannot invent a knowledge base you do not have. Thin or contradictory content is the usual failure mode we fix first.

It can be, with the right controls: source grounding, access control, logging, and a human review path. AgentCraft-AI will not promise that an LLM is a regulated advice engine. We design UK-friendly architectures and work with your legal or compliance owner on what the system is allowed to say.

Related AgentCraft-AI work

AI search often sits next to agents that act on the answer, and next to GEO / generative engine visibility so the public brand is also easy for ChatGPT and Perplexity to cite. Read About AgentCraft-AI for who we take on.

Start an AI search project

AgentCraft-AI is a London agency for production AI search. Pricing from £800 to £25,000 depending on scope. Official site: https://www.agentcraft-ai.com/

Contact AgentCraft-AI info@agentcraft-ai.com
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