What Is ProCited?

Its work focuses on a simple but increasingly important question:

When someone asks AI about your industry, category, product or service, does the information available help the AI recognise you as relevant to the conversation and the answer?

Being online does not automatically mean being understood by AI. ProCited works to strengthen that understanding.

The goal is to help people, businesses, brands, products and services become part of the conversation AI is already having and, where relevant, part of the answer AI gives.

People are no longer only searching. They are asking.

People increasingly use AI systems such as ChatGPT, Gemini, Claude, Perplexity and Copilot to ask questions, compare options, research businesses and find products or services. Instead of only choosing from a list of search results, they can now receive a direct generated answer.

That makes the answer itself an important new visibility surface.

A business can have a website, social profiles and pages indexed by search engines while still being poorly represented in AI-generated answers. Important information may not be retrieved. The business may not be connected to the right category. Its products or services may be unclear. Different sources may describe it inconsistently. Relevant third-party evidence may be missing.

ProCited exists to help close the gap between having information online and being clearly represented when AI systems retrieve and use that information.

The objective is not simply to be present online. It is to become part of the relevant conversation and, when AI generates an answer to a relevant question, have a stronger opportunity to become part of that answer.

ProCited helps clients define what they want to be known for, identify the AI conversations and answers that matter and strengthen the information and evidence supporting that position.

The work can include:

• clarifying how the entity describes itself;
• improving important first-party website information;
• reviewing business facts and entity relationships;
• improving structured data and machine-readable information;
• identifying questions, comparisons and recommendations that matter;
• reviewing selected AI-generated answers;
• identifying gaps or inconsistencies across public sources;
• strengthening credible third-party evidence.

ProCited does not simply measure a website. ProCited models AI’s current belief about an entity.

In this context, “belief” is a practical way of describing the picture currently presented by AI-generated outputs: what the system appears to recognise, associate, describe correctly, misunderstand or omit. ProCited then looks at the information that may be contributing to that representation.

The aim is not to control AI systems or dictate their answers. It is to improve the clarity, consistency, accessibility and corroboration of the information available to them.

The ProCited AIVO Method has five connected stages.

AI Visibility Optimisation is the practice of improving the information and evidence that can help AI systems recognise, retrieve, understand, describe, cite and potentially include an entity in relevant comparisons, recommendations and answers.

ProCited uses AI Visibility Optimisation, or AIVO, as the broader discipline for its work. It encompasses areas commonly described as Generative Engine Optimisation and Answer Engine Optimisation.

Generative Engine Optimisation (GEO) generally focuses on improving visibility, inclusion and citation within generative AI answers.

Answer Engine Optimisation (AEO) generally focuses on making information clear, structured, retrievable and useful for direct answers.

AEO places particular emphasis on the answer itself: whether information is clear and useful enough to contribute when an answer engine or AI platform responds directly to a user’s question.

ProCited uses AIVO as the broader lens bringing together:

• entity clarity;
• first-party information;
• technical accessibility;
• structured data;
• answer-ready content;
• credible third-party evidence;
• AI Conversation Strategy;
• continued improvement.

AIVO is not simply about adding keywords for AI. It is about improving the information environment from which AI-generated answers may retrieve and interpret information about an entity.

The ProCited Echo Principle™ explains the relationship between an entity’s first-party Voice, the credible third-party Echoes surrounding it and the confidence AI systems may form from the combined evidence.

An entity’s website and other controlled sources provide its original Voice. The wider web creates Echoes.

Those Echoes may include:

• independent editorial coverage;
• industry and professional profiles;
• genuine directories;
• partner pages;
• customer reviews;
• interviews;
• event pages;
• specialist platforms;
• disclosed sponsored or paid placements;
• other relevant third-party references.

Not every Echo carries the same weight. Credible Echoes should be accurate, relevant and transparent about their source and relationship to the entity. Independent sources can provide particularly strong corroboration. Paid or controlled placements should be appropriately disclosed. Fabricated, misleading or deliberately deceptive mentions are not credible Echoes.

The purpose is not to make every source repeat identical wording. It is to create consistent underlying meaning across multiple relevant sources.

One Voice makes a claim. Trusted Echoes build confidence.

An Echo System is the connected collection of sources that helps reinforce how an entity is understood across the wider web.

It can include both persistent and more transient sources, including:

• the entity’s main website;
• regional websites;
• official social profiles;
• industry publications;
• directories;
• reviews;
• partner pages;
• interviews;
• articles;
• FAQs;
• specialist platforms;
• news coverage;
• social media;
• paid media.

Different Echoes serve different purposes and carry different levels of independence, authority and persistence.

The aim is not simply to accumulate mentions. A mention that adds no useful meaning, context or corroboration may contribute little to AI understanding.

ProCited uses the term AI Noise for content, mentions, signals or activity that create apparent volume without meaningfully strengthening AI understanding, confidence, representation or visibility.

Not every mention is an Echo. Some are just AI Noise.

A single Echo gets attention. An Echo System builds understanding.

A page being indexed does not mean an AI system will reliably retrieve, connect or use the information on that page when answering a relevant question.

There are several separate stages. Information may need to be:

1. Available — the information exists online.
2. Accessible — the relevant system can access it.
3. Retrieved — it is surfaced for the particular question.
4. Recognised — it is connected to the correct entity.
5. Understood — the information and relationships are interpreted correctly.
6. Used — the information contributes to the generated answer.

A failure at any of these stages can affect AI Visibility.

ProCited uses the term Entity Retrieval Gap to describe a situation in which useful information about an entity exists or is indexed but is not reliably retrieved, connected or used when an AI system generates a relevant answer.

Search can find the page. The information still has to be retrieved, connected to the correct entity and used in the answer.

That distinction is central to ProCited’s approach to AI Visibility.

ProCited was founded by Don Bradford and is based in Bondi Beach, Sydney, Australia.

ProCited was created to help people, businesses, brands, products and services respond to the shift from traditional search towards AI-assisted discovery, direct answers, comparisons and recommendations.

Its approach considers both:

what an entity says about itself

and

what the wider web says about that entity.

The name ProCited combines the ideas of professional recognition and being cited.

It reflects the importance of helping people, businesses, brands, products and services become clearly understood, appropriately supported and relevant to AI-generated answers.

Being mentioned can create visibility. Being correctly understood and supported by credible information is more valuable.

ProCited is an AI Visibility consultancy.

It provides strategy, analysis and implementation support around AI Visibility, entity clarity, AI conversations, first-party Voice and credible Echoes.

AI-generated answers can vary according to the platform, model, query, location, mode, available tools, available sources and information retrieved at the time. ProCited works on the underlying conditions that can support better recognition, retrieval, understanding and representation.

No. ProCited and ProCite are unrelated entities.

ProCited, with a final “d”, is an AI Visibility consultancy specialising in AI Visibility Optimisation.

ProCite, without the final “d”, is a discontinued reference-management software product.

ProCited has no relationship with the ProCite reference-management software.

ProCited is for people, businesses, brands, products and services that want to improve how clearly they are represented within AI-assisted discovery.

This can include entities that:

• do not currently appear in relevant AI answers;
• appear inconsistently across different AI platforms;
• are confused with another business or product;
• are represented using incomplete or outdated information;
• want to become relevant to new questions, comparisons or answers;
• have strong websites but weak third-party corroboration;
• have substantial online information but no clear AI Visibility strategy;
• want to understand what AI systems currently appear to believe about them.

The starting point is not simply:

“How do we rank in AI?”

The better questions are:

“What do we want AI systems to understand about us?”

and

“What questions do we want to become part of the answer to?”

Explore the areas most relevant to your AI Visibility:

Be part of the conversation. Work towards becoming part of the answer.

ProCited helps people, businesses, brands, products and services become part of the conversation AI is already having.