Last updated: 30 July 2026

Digital PR for AI Citations: How UK Businesses Get Found in ChatGPT, Perplexity, and Google AI Overviews in 2026

Digital PR for AI citations is the strategic practice of earning media coverage, brand mentions, and third-party editorial placements that AI search engines like ChatGPT, Perplexity, and Google AI Overviews cite as sources when answering user queries. According to Muck Rack research, 84% of AI citations come from earned media rather than owned content, making digital PR the most effective method for achieving visibility in AI-powered search results that now reach approximately 2 billion monthly users worldwide.

Key Takeaways

• Digital PR generates 84% of all AI citations through earned media placements in news publications, reviews, and third-party editorial content, according to Muck Rack research analysing citations across major AI platforms.
• Brand mentions demonstrate a 0.664 correlation with AI Overview visibility versus just 0.218 for traditional backlinks—a 3x stronger relationship—according to Ahrefs analysis of 75,000 brands in 2026.
• News publications account for 14.09% of all AI citations, making them the second-most-cited content type across ChatGPT, Google AI Mode, Google AI Overviews, and Gemini, according to BuzzStream's comprehensive 2026 study.
• Only 17% of sources cited in Google's AI Overviews also rank in the organic top 10 search results, according to BrightEdge research, demonstrating that AI citation requires fundamentally different strategies than traditional SEO.
• 66.2% of digital PR practitioners now track AI citations as a key performance indicator, according to the BuzzStream State of Digital PR Report 2026, marking the rapid mainstream adoption of AI visibility metrics.

Why Digital PR Dominates AI Citations in 2026

The landscape of search visibility has fundamentally shifted. Traditional SEO focused on ranking your own website content in Google's organic results. AI search engines, however, prioritise third-party validation over self-published material. When ChatGPT answers a question about cybersecurity best practices or Perplexity explains UK data protection compliance, they cite trusted external sources—not brand websites.

This is where digital PR becomes essential. According to Muck Rack research, 84% of AI citations come from earned media—coverage you've secured in publications, reviews on third-party platforms, mentions in industry forums, and editorial content from trusted sources. Your own blog posts and service pages make up a small fraction of what AI engines consider authoritative enough to cite.

The shift is dramatic. Ahrefs' analysis of 75,000 brands reveals that brand mentions correlate 3x more strongly with AI Overview visibility (0.664 correlation) than traditional backlinks (0.218 correlation). This isn't a minor adjustment to existing SEO strategy—it's a fundamental reordering of what drives visibility.

For UK businesses, this creates both challenge and opportunity. Companies that have invested heavily in on-site content and link building may find their traditional SEO assets don't translate directly to AI visibility. Meanwhile, brands with strong media relationships and consistent PR coverage are seeing disproportionate representation in AI responses, even when their organic rankings lag behind competitors.

Bob Generale, President, Partner, and founder of Percepture's Digital Division, captures the strategic imperative: "Today, trust has to show up in Google and in AI systems, not just in industry publications."

How AI Engines Select Sources to Cite

Understanding citation mechanics is critical for effective digital PR strategy. AI search engines don't simply scrape the web randomly—they apply sophisticated evaluation criteria that favour specific content characteristics and source types.

BuzzStream's 2026 study analysing millions of citations across ChatGPT, Google AI Mode, Google AI Overviews, and Gemini using the Xofu citation tracker reveals that 76.1% of citations across 595 prompts were unique to a single platform. This means the same piece of content won't necessarily get cited across all AI engines—each platform has distinct preferences and evaluation criteria.

News publications punch above their weight. According to BuzzStream, news content accounts for 14.09% of all AI citations, making it the second-most-cited content type despite representing a much smaller fraction of total web content. This reflects AI engines' prioritisation of journalistic standards, editorial oversight, and timely information.

The relationship between traditional organic rankings and AI citations is surprisingly weak. BrightEdge research shows only 17% of sources cited in Google's AI Overviews also rank in the organic top 10. More striking still, Ahrefs data reveals that AI Overview citations from top-10 organic results dropped from 76% in July 2026 to just 38% by March 2026—a decline of 50% in eight months. AI engines are actively diversifying away from the same sources that dominate traditional search results.

What characteristics do cited sources share? Research consistently identifies several patterns:

Third-party validation: Content published by independent editorial sources carries more weight than brand-owned content. A feature article about your company in The Guardian or Financial Times is far more likely to be cited than your own case study page.

Authoritative domain reputation: Established publications, government sources, academic institutions, and recognised industry bodies receive preferential treatment. A mention in an ICO guidance document or HSE publication carries exceptional citation value.

Structured, factual content: AI engines favour content with clear statistics, specific dates, named entities, and concrete details. Vague marketing copy rarely gets cited; data-rich editorial content frequently does.

Recency signals: Fresh content receives a boost, particularly for time-sensitive queries. A 2026 news article about emerging AI regulations will outperform a 2026 whitepaper on the same topic.

Source diversity: AI engines actively seek multiple perspectives. A single dominant source on a topic may be cited, but engines also pull from smaller, specialised publications to provide balanced answers.

The Digital PR Strategies That Generate AI Citations

Effective digital PR for AI citations requires specific tactical approaches that differ from traditional PR campaigns focused solely on brand awareness or website traffic.

Data-Driven Story Development

Statistics-rich content dominates AI citations. When you provide journalists with original research, proprietary data, or expert analysis backed by concrete figures, the resulting coverage becomes highly citable. AI engines extract and reference specific statistics when answering queries.

For UK businesses, this might mean commissioning consumer surveys about British attitudes toward AI adoption, analysing industry trends using your customer data, or publishing annual benchmark reports. The key is creating genuinely newsworthy data that journalists can build stories around—not thinly disguised promotional material.

Expert Commentary and Thought Leadership

Establishing your executives as go-to expert sources for journalist enquiries creates ongoing citation opportunities. When your CEO is quoted in a BBC article about AI regulation or your technical director provides expert analysis for Computer Weekly, those quotes and attributions become part of the cited record AI engines draw from.

Building these relationships requires consistent availability, genuine expertise, and the ability to provide quotable, fact-based commentary quickly. Services like ResponseSource and Connectively (formerly HARO) connect journalists with expert sources, but the most valuable relationships develop through direct outreach and consistent delivery.

Strategic News Publication Targeting

Given that news publications account for 14.09% of all AI citations according to BuzzStream, securing coverage in journalistic outlets should be a primary focus. This doesn't mean chasing vanity placements in publications your target customers don't read—it means identifying the news sources that AI engines already cite frequently in your topic area.

For UK businesses in the AI and technology space, this typically includes national publications (The Guardian, Financial Times, The Telegraph), technology-focused outlets (The Register, Computer Weekly, TechCrunch Europe), and industry-specific trade publications. Regional business publications can also be valuable, particularly for location-specific queries.

Review and Forum Presence

Third-party review platforms and industry forums generate significant AI citations, particularly for product and service evaluation queries. Trustpilot reviews, G2 ratings, Capterra listings, and even Reddit discussions appear in AI responses when users ask for recommendations or comparisons.

Actively managing your presence on these platforms—encouraging satisfied customers to leave reviews, engaging with forum discussions in your industry, and maintaining accurate business information—contributes to citation potential. The content is third-party validated, frequently updated, and directly addresses user questions.

Digital PR Amplification Tactics

Once you've secured media coverage, maximise its citation potential:

Structured data markup: Ensure published articles about your company include proper schema markup for articles, reviews, and organisational information. While you can't control third-party sites' technical implementation, you can provide this to publishers or prioritise outlets with strong technical SEO.

Multi-format distribution: The same story should appear in multiple formats—written articles, podcast interviews, video content, and infographics. Different AI engines show preferences for different content types, and format diversity increases overall citation probability.

Follow-up and updates: When a significant story develops, provide journalists with updated information, additional data, or new angles. Updated articles with fresh publication dates receive recency boosts in AI citation algorithms.

Measuring Digital PR Success for AI Citations

The rise of AI search requires new measurement frameworks. Traditional PR metrics—coverage volume, domain authority of placing publications, estimated reach—remain relevant but incomplete. In 2026, 66.2% of digital PR practitioners track AI citations as a KPI according to the BuzzStream State of Digital PR Report, reflecting the industry's recognition that AI visibility now matters as much as traditional media metrics.

AI Citation Tracking Tools

Several platforms now monitor when and where your brand appears in AI engine responses:

Xofu specialises in tracking citations across ChatGPT, Google AI Mode, Google AI Overviews, and Gemini. The platform monitors specific keywords and queries relevant to your business, alerting you when AI engines cite your brand or content.

BrightEdge includes AI Overview monitoring in its enterprise SEO platform, tracking which of your pages and external mentions appear in Google's AI-powered results.

SEMrush and Ahrefs have both introduced AI visibility metrics, though coverage varies by platform and region. These tools are particularly valuable for comparing your AI citation performance against competitors.

Custom monitoring solutions using API access to AI platforms can track citations at scale, though this requires technical implementation and ongoing maintenance.

Key Metrics to Track

Citation frequency: How often does your brand or content appear in AI responses for target queries? Track this across multiple platforms, as 76.1% of citations are platform-specific according to BuzzStream.

Citation context: Are you being cited as a primary source, a supporting reference, or a competitor mention? The context matters as much as the frequency.

Source diversity: Which publications and platforms generate your AI citations? A handful of high-authority sources may deliver more value than numerous low-quality mentions.

Query relevance: Are you being cited for queries that matter to your business objectives? Citations for tangential topics generate awareness but may not drive qualified enquiries.

Competitive share of voice: What percentage of AI citations in your category mention your brand versus competitors? This metric contextualises your performance within your competitive landscape.

Referral traffic from AI platforms: Some AI engines now include clickable citations. Monitor traffic from these sources in Google Analytics using UTM parameters and referral source tracking.

Attribution and ROI Considerations

Connecting AI citations to business outcomes remains challenging but increasingly important. Consider these approaches:

Brand search uplift: Monitor increases in branded search volume following significant AI citation gains. When your brand appears in AI responses, users often search for you directly.

Assisted conversions: Use multi-touch attribution models to credit AI citations that appear in the customer journey before conversion, even if they're not the final touchpoint.

Qualitative feedback: Ask new customers and enquiries how they found you. Many will mention "I asked ChatGPT about..." or "Perplexity recommended...".

Competitive displacement: Track whether increased AI citations correlate with reduced competitor visibility in the same AI responses.

Digital PR vs Traditional Link Building for AI Visibility

The strategic choice between digital PR and traditional link building has become more pronounced as AI search engines prioritise different signals than conventional search algorithms.

Traditional link building focuses on acquiring hyperlinks from external websites to your own, passing "link equity" that improves your organic search rankings. The primary metric is the number and quality of backlinks pointing to your domain. This remains valuable for traditional SEO—Google still uses links as a core ranking factor.

Digital PR prioritises brand mentions, citations, and editorial coverage regardless of whether they include a followed link back to your website. The primary metric is visibility in third-party content that AI engines consider authoritative. Ahrefs research showing brand mentions correlate 3x more strongly with AI visibility than backlinks demonstrates this fundamental shift.

For most UK businesses in 2026, an integrated approach delivers optimal results. Digital PR builds the brand authority and third-party validation that drives AI citations, while strategic link building maintains traditional search visibility. The balance depends on your specific goals, but the trend is clear: companies allocating more budget to digital PR and less to pure link acquisition are seeing better overall search visibility across both traditional and AI-powered results.

Content Formats That AI Engines Cite Most Frequently

Not all content types receive equal treatment from AI search engines. Understanding which formats generate the highest citation rates allows you to focus digital PR efforts on the most effective approaches.

News articles and press coverage dominate citations, as previously noted. BuzzStream data shows news publications account for 14.09% of all AI citations—the second-highest category. For UK businesses, this means press releases distributed through services like PR Newswire or ResponseSource, feature articles in trade publications, and news coverage of company announcements all contribute to citation potential.

Research reports and original data receive exceptional citation rates when they contain specific, quotable statistics. Industry surveys, market analysis, trend reports, and benchmark studies become reference sources that AI engines return to repeatedly. The key is genuine research methodology—AI engines increasingly evaluate source credibility and may downweight promotional "research" that lacks rigorous methodology.

Expert interviews and Q&A content perform well because they provide direct, quotable answers to specific questions. Podcast appearances, written interviews, and expert roundups all generate citable material. The conversational format naturally produces the kind of direct, complete answers that AI engines extract.

Case studies and customer stories get cited when they contain specific outcomes, figures, and timelines. Vague success stories rarely appear in AI responses, but detailed case studies with concrete metrics ("reduced costs by 34% over six months") become reference points for queries about what's possible in your industry.

How-to guides and tutorials from third-party sources receive citations for instructional queries. When an industry publication publishes a guide featuring your methodology or a journalist writes a tutorial based on your expertise, that content becomes citable for relevant how-to searches.

Review content and comparison articles dominate citations for evaluation and purchase-intent queries. Third-party reviews on platforms like Trustpilot, G2, and Capterra, as well as editorial comparison articles in publications, frequently appear when users ask AI engines for product or service recommendations.

Government and regulatory content receives disproportionate citation rates for compliance and legal queries. For UK businesses, this means FOI responses, consultations, regulatory guidance, and parliamentary material. While you can't directly create this content, you can influence it through policy engagement, consultation responses, and working with industry bodies that interact with regulators.

Timeline: When Digital PR Impacts AI Citations

Understanding the typical timeline from PR activity to measurable AI citations helps set realistic expectations and plan campaigns effectively.

Week 0-1: Content publication and distribution
Your press release goes out, or the journalist publishes the article featuring your brand. At this stage, the content exists but hasn't yet been indexed or processed by AI engines.

Week 1-3: Indexing and initial processing
AI engines discover and process the new content. Google AI Overviews typically index new content from established publications within days. ChatGPT and Perplexity update their knowledge bases less frequently, with lag times varying from days to weeks depending on the source's authority and update frequency.

Week 2-4: First citations begin appearing
For high-authority sources like major news publications, citations can appear within two weeks. Lower-authority sources may take longer or may never achieve citation if the content doesn't meet quality thresholds.

Week 4-8: Citation stabilisation
Citation frequency typically stabilises within 4-8 weeks as AI engines fully integrate the content into their knowledge bases and determine its relevance for various queries. At this point, you can assess whether the coverage is generating meaningful AI visibility.

Month 3+: Cumulative effect and sustained visibility
Individual pieces of coverage may fade in citation frequency as newer content emerges, but the cumulative effect of consistent digital PR creates sustained visibility. Brands with ongoing media presence maintain higher baseline citation rates than those with sporadic coverage.

This timeline varies significantly based on:

• Source authority: Coverage in The Financial Times gets processed and cited faster than coverage in a niche industry blog
• Content freshness signals: Articles with recent publication dates receive priority
• Topic relevance: Coverage of trending topics gets faster integration than evergreen content
• Platform differences: Each AI engine has distinct update cycles and processing priorities

For UK businesses planning campaigns, this timeline suggests starting digital PR efforts at least 6-8 weeks before key business periods when you want maximum AI visibility—product launches, seasonal demand peaks, or industry events.

Regional Considerations for UK Businesses

AI search engines show geographic preferences in citation behaviour, making location-specific digital PR strategy essential for UK businesses.

UK publication preference for UK queries: When users in the United Kingdom ask questions with local context—"best AI agencies in London", "UK data protection compliance", "British business trends"—AI engines disproportionately cite UK-based publications and sources. Coverage in The Guardian, Financial Times, or Computer Weekly carries more weight for UK-focused queries than equivalent US publications.

Local news and regional media: For businesses serving specific UK regions, coverage in regional publications can generate citations for location-specific queries. A feature in the Manchester Evening News or Edinburgh Business Review may drive AI citations for queries like "AI marketing agencies in Manchester" or "Edinburgh tech companies".

UK regulatory and government sources: Citations from gov.uk domains, UK regulatory bodies (ICO, FCA, Ofcom), and British industry organisations carry exceptional authority for UK-focused queries. Digital PR strategies that generate mentions in government consultations, regulatory guidance, or official reports create highly citable placements.

British English and terminology: AI engines match language patterns to user queries. Content using British English spelling and UK-specific terminology ("whilst" not "while", "organisation" not "organization", "GDPR" not just "data privacy laws") performs better for UK users.

Time zone and publishing timing: Publishing press releases and securing coverage during UK business hours increases immediate pickup and social sharing, which can influence citation algorithms. The optimal window is typically 9:00-11:00 GMT when UK journalists are most active.

Common Digital PR Mistakes That Reduce AI Citation Potential

Even well-executed PR campaigns can fail to generate AI citations when they fall into common traps.

Promotional language over factual content: Press releases written in marketing-speak with vague claims ("leading provider", "innovative solutions") rarely get cited. AI engines extract specific facts, figures, and concrete information. A release stating "secured £2.3M Series A funding led by XYZ Ventures" is citable; "announced significant growth investment" is not.

Lack of quotable statistics: Coverage without specific data points rarely appears in AI responses. Every press release and media pitch should include at least 2-3 concrete statistics, percentages, or figures that journalists can include and AI engines can extract.

Ignoring source authority: A dozen placements in low-quality press release distribution sites generate virtually no AI citations. A single placement in a respected industry publication delivers far more value. Quality of source matters exponentially more than quantity of mentions.

No expert attribution: Generic company statements lack the authority of named expert quotes. Coverage that includes quotes from your executives with their credentials ("Sarah Johnson, Chief Technology Officer at Aether Agency Ltd, who previously led AI initiatives at...") is more likely to be cited than anonymous corporate statements.

Failing to update and refresh: One-off coverage generates temporary citations at best. AI engines favour sources with consistent, updated information. Brands that secure follow-up coverage, provide journalists with updated statistics, and maintain ongoing media relationships sustain citation frequency.

Neglecting non-traditional media: Focusing exclusively on written press coverage misses citation opportunities from podcasts, video content, webinars, and industry events. AI engines increasingly process multi-format content.

No measurement or iteration: Without tracking which coverage generates AI citations and which doesn't, you can't refine your approach. The most successful digital PR strategies involve monthly citation audits and tactical adjustments based on performance data.

Your Digital PR for AI Citations Checklist

• Audit current AI visibility: Use citation tracking tools to establish baseline measurements of how often your brand currently appears in ChatGPT, Perplexity, Google AI Overviews, and other AI platforms for target queries
• Identify high-authority target publications: Create a prioritised list of news outlets, industry publications, and third-party platforms that AI engines already cite frequently in your topic area
• Develop data-driven story angles: Commission original research, analyse proprietary data, or identify newsworthy trends that give journalists concrete statistics and facts to report
• Establish executive thought leadership: Position key team members as expert sources for journalist enquiries through platforms like ResponseSource and direct media relationship building
• Create quotable, specific content: Ensure all press releases and media materials include concrete figures, named experts with credentials, and factual claims rather than promotional language
• Secure strategic media placements: Focus on quality over quantity—one placement in The Financial Times delivers more AI citation value than ten placements in low-authority press release sites
• Optimise for multiple content formats: Pursue coverage across written articles, podcast interviews, video content, and industry events to maximise citation potential across different AI platforms
• Build review and forum presence: Actively manage your brand's presence on Trustpilot, G2, Capterra, and relevant industry forums where AI engines source third-party validation
• Implement citation tracking and measurement: Monitor AI citation frequency, context, and competitive share of voice using specialised tools and adjust strategy based on performance data
• Maintain consistent, ongoing PR activity: Sustain media relationships with regular updates, fresh statistics, and new story angles rather than one-off campaigns—cumulative coverage builds sustained AI visibility

FAQ

What is digital PR for AI citations?

Digital PR for AI citations is the strategic practice of securing media coverage, brand mentions, and third-party editorial placements specifically to increase your visibility when AI search engines like ChatGPT, Perplexity, and Google AI Overviews cite sources in their responses. Unlike traditional PR focused primarily on brand awareness, this approach prioritises creating citable content that AI engines recognise as authoritative. According to Muck Rack, 84% of AI citations come from earned media sources, making digital PR the most effective method for appearing in AI-powered search results.

How long does it take for digital PR to impact AI citations?

Digital PR typically begins generating AI citations within 2-4 weeks for high-authority placements in established publications, with full citation stabilisation occurring within 4-8 weeks. The timeline varies based on source authority—coverage in major UK publications like The Financial Times or The Guardian gets processed and cited faster than niche industry blogs. Platform differences also matter: Google AI Overviews typically index new content within days, while ChatGPT and Perplexity update their knowledge bases less frequently. For sustained visibility, consistent digital PR over 3-6 months delivers the best results as cumulative coverage builds citation frequency.

Do AI citations correlate with traditional Google rankings?

No, AI citations show surprisingly weak correlation with traditional organic rankings. According to BrightEdge research, only 17% of sources cited in Google's AI Overviews also rank in the organic top 10 search results. Even more striking, Ahrefs data reveals that AI Overview citations from top-10 organic results dropped from 76% in July 2026 to just 38% by March 2026—a 50% decline in eight months. This demonstrates that AI engines actively prioritise different signals than traditional search algorithms, with brand mentions showing a 3x stronger correlation (0.664) with AI visibility than backlinks (0.218) according to Ahrefs analysis of 75,000 brands.

Which AI platforms should UK businesses prioritise for citations?

UK businesses should prioritise Google AI Overviews, ChatGPT, and Perplexity as the three platforms with the largest UK user bases and highest commercial intent. Google AI Overviews reach approximately 2 billion monthly users worldwide according to DemandSage, with significant UK penetration. However, BuzzStream research shows that 76.1% of citations are platform-specific—the same content won't necessarily get cited across all platforms. This means effective strategy for content in AI Overviews requires monitoring and optimising for multiple platforms simultaneously rather than focusing exclusively on one. Platform preferences vary by query type: Google AI Overviews dominate for commercial queries, ChatGPT for informational content, and Perplexity for research-focused questions.

How much does digital PR for AI citations cost in the UK?

Digital PR costs for UK businesses typically range from £2,000-£10,000+ per month depending on campaign scope, target publications, and agency expertise. Individual press placements in major UK publications cost £500-£5,000+ when working through PR agencies, while comprehensive monthly retainers covering ongoing media relations, content creation, and citation tracking range from £3,000-£15,000. In-house digital PR (salary, tools, and distribution costs) typically costs £40,000-£70,000 annually for a dedicated specialist. Return on investment varies significantly, but businesses securing consistent coverage in high-authority publications typically see measurable AI citation increases within 2-3 months, with 66.2% of digital PR practitioners now tracking AI citations as a core KPI according to the BuzzStream State of Digital PR Report 2026.

Can small UK businesses compete for AI citations against larger brands?

Yes, small UK businesses can successfully compete for AI citations through strategic niche focus and expert positioning. While large brands have advantages in brand recognition and PR budgets, AI engines prioritise source authority and content relevance over company size. Small businesses can secure citations by developing deep expertise in specific topics, providing journalists with original data and research in their niche, and building relationships with industry-specific publications that AI engines cite. According to research, 84% of AI citations come from earned media rather than owned content, meaning a small business with strong media relationships can outperform a larger competitor with poor PR strategy. Regional publications, industry trade journals, and specialist forums offer accessible entry points for smaller businesses building citation presence.

What's the difference between GEO and traditional SEO?

Generative Engine Optimisation (GEO) focuses on making content citable by AI search engines that generate conversational responses, while traditional SEO optimises for ranking in conventional search engine results pages. The core difference lies in citation versus ranking: GEO aims to have your brand or content referenced within AI-generated answers, while SEO aims to have your web pages appear in blue-link results. According to research, brand mentions correlate 3x more strongly with AI visibility than backlinks, and only 17% of AI citations also rank in organic top 10 results. GEO prioritises third-party validation, quotable statistics, expert attribution, and structured factual content, while traditional SEO focuses on on-page optimisation, backlink acquisition, and technical website factors. Most businesses need both strategies, as traditional search and AI search serve different user intents and generate distinct traffic sources.

Getting Found in AI Search with Aether Agency Ltd

The shift from traditional search to AI-powered answers represents the most significant change in digital visibility since Google's dominance began two decades ago. For UK businesses, appearing in ChatGPT responses, Perplexity results, and Google AI Overviews now matters as much as traditional rankings—and achieving that visibility requires fundamentally different strategies centred on digital PR and third-party validation.

At Aether Agency Ltd, we've built our entire approach around this new reality. As a full-service creative studio specialising in AI search optimisation, we help UK businesses get found not just on Google, but across ChatGPT, Perplexity, and every major AI platform through strategic digital PR, citation-optimised content, and comprehensive GEO implementation. We understand that 84% of AI citations come from earned media, and we've developed the media relationships, content frameworks, and measurement systems to secure those high-value placements for our clients.

Whether you're a London-based SaaS company seeking visibility in AI-powered product recommendations, a Manchester professional services firm wanting to appear in ChatGPT's expert suggestions, or a UK-wide retailer aiming for Perplexity citations, we can develop and execute the digital PR strategy that drives measurable AI visibility. Get in touch with Aether Agency Ltd today for a consultation on how digital PR can transform your presence in AI search results.

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