Citation and query baseline
We agree the buyer questions, markets and answer surfaces that matter, then document the current evidence before changing pages.
AI citation service
Build clearer, evidence-led pages that are easier for AI answer systems to assess and cite when your buyers ask relevant questions. We begin with a senior-led audit, then agree a realistic monthly scope around your priority evidence, pages and technical foundations.
We do not promise citations, rankings, traffic, leads or revenue. ChatGPT, Gemini and Google control their own outputs. Our job is to improve your source readiness, document the evidence and keep the work tied to commercial questions.
What the work addresses
AI answer systems have different inputs and changing behaviours. The durable work is not a list of chatbot tricks. It is useful primary content, qualified evidence, sound technical delivery and a clear entity story that helps people and systems understand what you do.
We agree the buyer questions, markets and answer surfaces that matter, then document the current evidence before changing pages.
We improve the pages a buyer or system should understand first: direct answers, qualified claims, clear authorship, source context and useful internal routes.
We review crawlability, canonical delivery, page semantics, structured data and the consistency of your organisation, services and proof across the site.
We retain a query log, inspect what can be observed, prioritise the next useful improvement and report the limits as plainly as the progress.
A practical process
The audit is a decision point, not an automatic subscription. If there is a good fit, the monthly plan names the priority pages, evidence owners, work sequence and the measures that will be reviewed.
Choose the buying questions, market and answer surfaces worth investigating.
Review the pages, evidence, technical delivery and external context that exist today.
Set the page, content, entity and measurement work that can be owned and checked.
Use a documented query set and technical evidence, rather than presenting one chatbot answer as a result.
Scope and expectations
The broader search and answer-engine foundations behind source-ready pages.
Read more →A practical guide to evidence, entity and content conditions worth testing.
Read more →The adjacent workstream for Google AI search experiences and source visibility.
Read more →FAQs
7 answers available
No. No agency can guarantee a citation, ranking, traffic, lead or revenue outcome from a third-party AI system. ChatGPT, Gemini and Google change their retrieval, ranking and response systems without notice. This service improves the clarity, evidence, technical accessibility and entity signals that make your pages more useful candidates to be cited, then measures what changes on an agreed query set.
The one-off, senior-led audit starts from £750 + VAT. It reviews an agreed set of commercial questions, the current cited-source landscape where it can be observed, priority page and content gaps, technical crawl and schema signals, entity evidence and practical remediation order. You receive a scoped recommendation before deciding whether ongoing work is appropriate.
The introductory retainer starts from £2,200 + VAT per month for a defined priority scope. It can include answer-first page work, structured data and technical remediation, source and evidence improvement, internal linking, and a documented measurement cadence. The precise volume, owners and exclusions are agreed after the audit; it is not an unlimited-content package.
For new AI citation service retainers confirmed by 28 December 2026, the monthly starting rate is from £2,200 + VAT and is presented as a 29% introductory discount. The offer applies to the agreed citation-service scope only. We confirm the applicable term, scope, VAT treatment and rate after the offer period in writing before work begins.
The work is designed for buyer questions that may surface in ChatGPT, Gemini and Google AI experiences, alongside the SEO foundations those systems may draw on. We do not claim that every platform uses the same data sources or signals. The audit selects the answer surfaces and priority questions that are commercially relevant to your audience.
We define a documented query set, record the market, prompt context and source evidence available at the time, then compare changes over time. We combine that evidence with technical crawlability, page quality, Search Console and analytics signals where they are available. A single ad-hoc chatbot response is not treated as proof of sustainable visibility.
It is built for B2B, selected B2C and ecommerce teams whose buyers ask complex comparison, category or implementation questions before they enquire. It is most useful when there is a real offer, credible evidence to publish and an internal owner who can approve subject-matter input. It is not a shortcut for a new site with no useful source material.
A sensible first conversation
Bring the pages, the question set and the commercial context. We will tell you whether an audit is useful before recommending any ongoing scope.