AiPR®

Become the brand AI recommends.

AiPR® is Reboot's offsite approach to GEO, strengthening the authority, relevance and trust signals that influence how AI systems understand, cite and recommend brands.

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How brands earn AI recommendations

Ranking in Google is no longer the only visibility challenge.

Brands now need to be recognised, trusted and recommended inside AI answers.

To appear in those recommendations, AI systems need consistent evidence of what your brand does, where you have authority and why you are relevant to a specific search.

That evidence comes from the information around your brand across the web, including coverage, mentions, expert commentary, original data and category associations.

AiPR® helps improve those signals, so your brand has a stronger chance of being understood, cited and recommended.

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How AiPR® strengthens AI visibility

AiPR® is part of our wider GEO service, and focuses on improving the offsite signals that influence how AI systems find, interpret, trust and recommend your brand.

We group those signals into our 4As framework - access, appearance, authority and alignment.

These help us understand whether AI systems can retrieve the right information, where your brand appears, why it should be trusted and what your brand is consistently associated with.

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Our AiPR® framework: The 4 As

Access

Can AI systems access and interpret the information around your brand?

This includes the availability of credible third-party references, expert commentary, original data and clear brand information across the web. The easier it is for AI platforms to find consistent information about your brand, the easier it becomes to understand and surface it.

Appearance

Where does your brand show up in AI search?

This includes AI answers, citations, comparison prompts, conversational search and recommendation-led journeys. It also looks at whether your brand has original, non-commodity content that AI search systems are more likely to surface, such as expert insight, original data or a clear point of view.

Authority

Why should AI systems trust your brand?

This includes expert commentary, authoritative coverage, original data, backlinks, reputation and brand familiarity. AiPR® strengthens these trust signals by making sure your brand is referenced in credible places, around topics where you can show genuine expertise.

Alignment

What is your brand consistently associated with?

This includes the topics, categories, services and proof points that appear around your brand across the web. It also includes the relevancy of those signals, from context-wrapped Digital PR activity to resource and data pages that connect your brand to the right areas of expertise.

How AiPR® works

AiPR® campaigns are tailored to each brand.

We select tactics based on the associations, authority signals and recommendation opportunities we want to strengthen.

The exact mix depends on your goals, from improving recognition and relevance to strengthening authority, category ownership and recommendation visibility.

Founder profiling

Position senior leaders as credible voices on the topics your brand wants to be known for, helping reinforce expertise, trust and authority.

Original datasets and research

Large-scale datasets, Freedom of Information campaigns and proprietary research designed to generate credible, relevant coverage and citation opportunities.

Executive thought leadership

Expert commentary that strengthens your association with key industry topics and customer challenges.

National surveys

Consumer and industry surveys that create media-friendly stories with clear relevance to your brand.

Trend reports

Data-led reports that help establish your brand as a source of insight and expertise.

Industry rankings and indexes

Category-led rankings that help position your brand within the right market, topic or customer need.

Award programmes

Strategic award entries that help validate your expertise, strengthen credibility and create third-party proof points.

Speaking opportunities

Relevant panels, webinars and industry events that put your experts in front of the right audiences and reinforce what your brand should be known for.

Buyers’ guides and "Best for" or category rankings

Content that helps support decision-stage journeys, where buyers are actively weighing up their options.

Hyper-relevant Digital PR campaigns

Campaigns specifically designed to strengthen association with the topics, services and categories you want to own, known as hyper-relevancy projects.

Why brands are investing in AiPR®

Being recommended by AI depends on more than brand awareness.

AI systems need clear, repeated evidence of:

What your brand does

Where you have authority

Which topics you are associated with

Why you are relevant to a particular customer need

That is why brands are investing in AiPR®.

For brands in competitive markets, this means appearing earlier in the buying journey, becoming associated with the right topics and giving AI systems more reasons to trust and recommend them.

How we measure AiPR® impact

AI visibility cannot be measured through a single metric.

Different AI platforms use different retrieval methods, recommendation systems and citation behaviours. Instead, we combine multiple indicators to understand whether your brand is becoming easier to recognise, trust and recommend.

As part of our GEO reporting framework, we look at the three Reboot Rs:

Recognition

Can AI systems identify your brand and understand what you do?

Relevance

Does AI associate your brand with the right topics, categories and areas of expertise?

Recommendation

Does AI recommend your brand in relevant answers, comparisons and decision-making journeys?

We then combine this with our own internal analysis and experimentation, including:

Contextual alignment analysis

AI prompt testing

Category association mapping

Recommendation visibility tracking

Controlled GEO experiments

This helps us assess how your brand is appearing, what associations are being reinforced and where the biggest visibility gaps remain.

Why partner with Reboot Online

As a leading AI PR agency, we were testing how AI systems retrieve, cite and summarise brand information long before GEO strategy became a priority for businesses.

AiPR® applies our GEO learnings to earned media, so Digital PR activity is planned around how AI systems retrieve, interpret and recommend brands.

It combines Digital PR, GEO, SEO, content and data expertise under one team, so campaigns reflect how people discover, compare and choose brands today.

Data-led campaigns

Our in-house data team turns original datasets, FOI research, experiments and analysis into credible campaign assets that journalists can trust and AI systems can cite.

Search-led Digital PR

We do not chase coverage for coverage’s sake. We build campaigns around the topics, sources and associations that support long-term organic visibility.

GEO-informed delivery

AiPR® works alongside GEO strategy, helping brands understand where they appear in AI answers, where they are missing, and what needs to change.

Context-led campaign planning

We plan campaigns around the associations your brand wants to own, from category relevance and expertise to trust, sentiment and recommendation visibility.

Our case studies

See how AiPR® campaigns have improved AI visibility, strengthened brand understanding and supported broader GEO strategies.

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FAQs

What is AiPR®?

What is AiPR®?

AiPR® is Reboot’s trademarked approach to improving how AI systems understand, trust and recommend brands.

It focuses on the offsite signals that influence AI visibility, including authority, relevance, category association, expert commentary, original data and brand mentions across the web.

How does AiPR® support GEO?

Does AiPR® replace SEO or GEO?

What does context wrapping mean?

What affects whether AI systems recommend a brand?

Why does AI recommendation visibility matter?

How soon will we see results from AiPR®?

How much does AiPR® cost?

How does AiPR® differ from PR?

What is AiPR®?

AiPR® is Reboot’s trademarked approach to improving how AI systems understand, trust and recommend brands.

It focuses on the offsite signals that influence AI visibility, including authority, relevance, category association, expert commentary, original data and brand mentions across the web.