COEDAIR · AI visibility & GEO
Make your business easier for AI to find and cite.
When a potential customer asks AI for a service or product you offer, your business needs to be understandable, relevant and backed by accessible evidence. COEDAIR helps you publish that evidence in a form AI engines can retrieve and use.
A platform developed by 73 Group to support Generative Engine Optimisation (GEO), alongside your existing website.
What you want to be found for
Surface the right information.
Make its relevance clear.
Connect it to supporting evidence.
The problem this solves
Your business may be the right answer.
Can AI see why?
A customer can ask an AI engine to identify a supplier, compare services or suggest a product before visiting a business website. If the facts that make you relevant are buried, vague or disconnected, there is less usable information from which to understand your offer.
COEDAIR addresses that information gap: surfacing what you do, who it helps and the evidence behind it in a clear, accessible form.
Your offer is too vague.
“We deliver innovative solutions” says little about the specific need you meet. Describe the service, the customer, the use case and the scope.
The useful facts are scattered.
Product details, expertise, locations and supporting evidence may sit across separate pages and systems. Connect them to a consistent business identity.
The information is hard to reuse.
Make relevant facts available through readable public content and structured representations that other systems can retrieve.
A practical foundation for GEO
The right facts.
In a form AI can work with.
Generative Engine Optimisation is the work of improving your visibility in AI-generated answers. COEDAIR supports that work by improving the information available about your business and the specific reasons it may be relevant to a question.
Define what you should be found for.
Identify the propositions, services and products that matter, the customers they serve and the questions those customers might ask.
Give those claims substance.
Connect specific facts, source material and useful context to the business and its offerings. Make clear what is provided, where and on what basis.
Publish it for retrieval.
Provide accessible public evidence alongside your website, including JSON and Markdown representations. Maintain its accuracy as the business changes.
Useful content, crawlability and established SEO practices remain important. COEDAIR adds an evidence publishing capability to that work.
What useful specificity looks like
Give an AI engine reasons
to recognise a good fit.
Illustrative example: a customer asks for a provider that can help a membership organisation replace its CRM. The following facts make the offer easier to assess.
The service
CRM selection, implementation and integration, with the scope and delivery approach clearly described.
The fit
Relevant organisation types, systems supported, delivery locations and the particular problems the service addresses.
The support
Source pages, relevant case studies and published credentials, where available, connected to the same organisation.
These are examples of information to publish, not claims about a particular supplier or a prediction of an AI answer.
Forthcoming · AddMe2AI
A route to better AI visibility
for your business.
AddMe2AI is the forthcoming business-facing platform built around COEDAIR. Its purpose is to help organisations make their specific propositions, services and products easier for AI engines to understand, retrieve and consider citing.
Represent what you actually offer.
Connect each proposition, service or product with the customer needs it addresses and the facts that distinguish it.
Manage your business information.
Bring organisational ownership and control to an evidence environment that also supports public entity contributions and corrections.
Work alongside your website.
Provision AI-accessible evidence in parallel with your existing CMS and data layers, with integration and publishing arrangements scoped to your needs.
AddMe2AI is forthcoming. Availability and onboarding details will be announced as the platform develops.
In practice
The evidence layer is already in use.
ValePub and PintStash demonstrate the evidence infrastructure in live discovery platforms. They provide practical foundations for the forthcoming AddMe2AI business offering.
Local discovery
ValePub
A local pub discovery platform for the Vale of Glamorgan. Structured venue information supports useful searches and profiles, while community activity adds observations about what is happening in those places.
Explore ValePubDiscovery through collecting
PintStash
A discovery and collecting platform for Britain’s pubs and beers. Venue records connect with pub visits, beer spotting, digital cards and the stories that make each place distinctive.
Explore PintStashThe platform can record access by identified AI and search crawlers. Those reads show access to the evidence; they do not establish that a service cited it or used it in an answer.
The architecture
Your CMS and AI evidence.
Working alongside each other.
COEDAIR can provide a parallel route to your published information. Your CMS continues to support the website experience, while a connected evidence layer presents selected facts in forms suited to automated retrieval.
The experience people visit.
Your pages, brand, editorial content and customer journeys stay in the systems you use to manage them. These remain an important source of information and context.
The facts systems can retrieve.
Selected information is organised around identifiable entities, with source links and structured fields. Public profiles, JSON and Markdown provide complementary ways to access that evidence.
Built on edge computing
The delivery layer uses Cloudflare Workers and edge caching to serve evidence through a distributed network. This supports reuse across public profiles, directory applications and automated requests, while reducing repeated requests to underlying data sources.
Connected through publishing rules
The implementation defines which records feed the evidence layer, how they map to entities, how changes are refreshed and who controls publication. This allows the evidence capability to sit alongside an existing CMS without requiring a website rebuild.
CMS integration and refresh arrangements are scoped for each implementation. The parallel layer provides an additional publishing route; it does not imply automatic synchronisation with every CMS.
Your questions
Understand the opportunity.
Does this guarantee that AI will cite my business?
No. The aim is to improve your chances by making the relevant evidence clearer and more accessible. AI engines choose what to retrieve, cite and recommend. A citation is also distinct from a recommendation, a visitor or an enquiry.
How does this relate to SEO and GEO?
GEO focuses on visibility in AI-generated answers. COEDAIR supports it through specific, accessible and maintained business evidence. Search engines’ existing content and technical requirements still apply; special AI file formats are not a universal requirement for inclusion.
Will I need to replace my website?
The evidence layer can sit alongside your existing CMS. An implementation defines the source information, data mappings, refresh process and publication controls. Integration is scoped to the systems you use.
Who controls the information?
The platform combines public entity editing with organisational ownership and control. Contribution permissions, review arrangements and publication responsibilities are defined for each implementation.
How do COEDAIR and AddMe2AI relate?
COEDAIR is the underlying evidence platform: Canonical Open Evidence for Dedicated AI Retrieval. AddMe2AI is the forthcoming business-facing offering intended to make that capability available for propositions, services and products.
What would we discuss first?
What you want to be found for, who you want to reach and what evidence is already available. We can then discuss the gaps, your existing systems and a focused next step.
What should AI know
about your business?
Start with the services, products and expertise you want customers to find. Let’s discuss how to make that information work harder.