How UK Businesses Can Use AI-Generated Summaries to Understand What Generative Engines Are Saying About Their Brand

Generative engines are fundamentally changing how customers discover and learn about businesses. Unlike traditional search, where you control the meta descriptions and page snippets that appear, generative AI systems create their own summaries of your brand based on content they’ve indexed across the web. For UK businesses, understanding what these AI systems are actually saying about you is becoming just as important as managing your Google Business Profile. This article shows you how to monitor, analyse and act on the AI-generated summaries that appear when customers ask questions about your business, industry or offerings.

Why AI-Generated Summaries Are Different From Traditional Search Snippets

When you search on Google, you see a snippet – typically 155 to 160 characters pulled directly from a webpage. That snippet is deterministic; it comes from your meta description or the nearest matching text on your page. Generative engines like ChatGPT, Perplexity and Google AI Overviews work differently. They synthesise information from multiple sources, rewrite content in their own words and present summaries that may emphasise certain aspects of your business while downplaying others.

The implications are significant. A traditional search ranking tells you that your website appeared in position three for a particular query. An AI summary tells you something richer: it tells you how the AI system has interpreted your business, what information it chose to highlight, whether it mentioned your competitors, and how accurately it represents your value proposition. This is qualitative data that traditional metrics like click-through rate or bounce rate cannot capture.

For example, a UK marketing agency might rank in the top three for ‘digital marketing services in London’ on Google, but when a customer asks ChatGPT ‘which digital marketing agencies are best for e-commerce in London,’ the LLM (Large Language Model) might only mention one competitor, or it might synthesise information from your website in a way that actually strengthens your positioning. Or conversely, it might misrepresent your specialisms entirely.

Understanding these nuances requires a systematic approach to monitoring and interpreting AI-generated summaries. This is not about vanity rankings – it’s about ensuring that when generative engines summarise your business, they’re doing so accurately and in a way that aligns with your market positioning.

According to research from Brightedge, approximately 33% of search queries in 2024 now receive AI-generated summaries from Google AI Overviews, and this proportion is growing. For UK businesses, this means a significant portion of search traffic is being mediated through AI interpretation of your content.

Setting Up a Monitoring System for AI-Generated Summaries About Your Brand

The first step in understanding what generative engines are saying about your business is to establish a systematic monitoring process. This means creating a list of key queries that customers might ask about your business, industry and offerings, then regularly checking what summaries appear across different generative platforms.

Start by identifying your core query clusters. These are groups of related searches that potential customers might use. For a UK fitness coaching business, this might include:

• Personal training services in [your city]
• Best online fitness coaching for weight loss
• How to find a certified fitness coach in the UK
• Virtual personal training benefits
• Affordable fitness coaching near me
• Corporate wellness programmes UK

For each query cluster, you should monitor three platforms: ChatGPT, Perplexity and Google AI Overviews (when available in your region). The reason you monitor all three is that they use different underlying models and training data, so they may generate different summaries of your business even when responding to the same query.

Create a simple tracking spreadsheet with columns for:

• Query searched
• Platform (ChatGPT, Perplexity, Google)
• Date checked
• Whether your business was mentioned
• The exact text from the summary
• Which competitors were mentioned
• Overall sentiment and accuracy
• Any claims that need fact-checking

Run this monitoring process weekly for the first month, then fortnightly once you have baseline data. The consistency matters less than the systematic approach – you’re building a longitudinal record that shows you how AI systems are evolving in their understanding of your business.

One important caveat: generative engines sometimes hallucinate information or provide outdated details. When you’re building your monitoring spreadsheet, include a column specifically for identifying inaccuracies or claims that seem unsupported. This is crucial data that will inform your content strategy later.

Analysing the Content and Claims in AI Summaries About Your Business

Once you’ve gathered several weeks’ worth of AI-generated summaries about your business, the analysis phase begins. This is where you move beyond simple observation and start extracting actionable insights about how generative engines perceive your brand.

Begin by categorising the summaries you’ve collected. Group them by theme: what topics do the AI systems mention when discussing your business? If you’re a UK accountancy firm and the AI summaries frequently mention tax planning and bookkeeping but rarely mention your audit services, that’s telling you something about the content footprint across the web that’s associated with your business.

Create a comparison table of how your business is summarised across different platforms:

This comparison immediately reveals gaps. If all three platforms fail to mention a service that represents 30% of your revenue, that’s a red flag. If they consistently mischaracterise your target client, that’s actionable feedback about your content messaging.

Next, examine the source citations within the AI summaries. Generative engines typically draw from multiple sources when creating a summary. Some platforms show which sources they used, others don’t. When citations are visible, note which of your own pages were included and which were not. If your service pages aren’t being cited but outdated directory listings are, that’s a content strategy problem you need to address.

Also pay attention to competitor representation. How many competitors are mentioned in summaries about your business type or industry? Are they positioned as equals, or does the AI system seem to have a hierarchy? If five competitors are always mentioned together but your business is conspicuously absent, that suggests your content isn’t reaching the generative engines’ training data effectively, or it’s not strong enough to warrant inclusion.

Finally, assess the sentiment and framing of any mentions. Does the AI describe your business in professional language? Does it capture your unique value proposition, or does it describe you in generic terms that could apply to any competitor? This is qualitative analysis, but it’s invaluable for understanding how well your brand message is translating into AI-mediated search results.

Identifying Content Gaps That Affect AI-Generated Summaries

The analysis phase will typically reveal specific gaps in how generative engines understand your business. These gaps usually stem from missing, weak or poorly optimised content on your website or across your online presence. Understanding what these gaps are is the key to improving your Generative Engine Optimisation (GEO) strategy.

Common content gaps include:

• Key services or product lines that exist in your business but are underrepresented in your online content
• Industry certifications, qualifications or credentials that aren’t mentioned on your website
• Geographic markets you serve that aren’t explicitly mentioned in your content
• Case studies, client testimonials or proof points that validate your claims but aren’t published online
• Unique methodologies, processes or approaches that differentiate you but aren’t documented in your content
• Information about your team expertise that isn’t accessible to generative engines
• Historical context or company milestones that give credibility but are only in your ‘about us’ page

To identify which gaps are most important, cross-reference your AI summary analysis with your business strategy. If your target customers are asking ChatGPT about ‘sustainable business practices’ and your summaries never mention your sustainability credentials, but you do have that expertise, that’s a gap worth closing. If you’re trying to position yourself as a premium provider but AI summaries describe you in budget-friendly terms, that suggests your messaging or your content needs adjustment.

For each identified gap, ask yourself: is this gap because the content doesn’t exist on our website, or because it exists but the generative engines aren’t finding it or prioritising it? The answer determines your solution. Missing content requires creation and publication. Content that exists but isn’t being found typically has an SEO problem – poor internal linking, weak keyword optimisation or inadequate schema markup.

Work with your marketing and content teams to create a prioritised list of gaps to address. Focus on those that affect either high-value customer queries or queries with high search volume in your target market. Closing a gap related to a niche service that five customers a year search for is less urgent than closing a gap related to your core offering.

Actionable Steps to Improve How Generative Engines Summarise Your Business

Once you’ve identified the gaps, the next phase is implementation. Improving how generative engines summarise your business requires coordinated action across content creation, on-page SEO, technical SEO and potentially your broader digital marketing presence.

Start with your website content. Each gap you identified should map to either a new piece of content or an enhancement to existing content. If your AI summaries never mention your sustainability practices, create a dedicated page on your website about this topic. Write it for your human audience first – explain why you prioritise sustainability, what practices you follow, what results you’ve achieved – then optimise it for search engines and generative models using schema markup and clear structure.

Structure your content for AI comprehension. Generative engines process content differently from human readers. They favour:

• Clear headers and subheaders that signal topic progression
• Direct answers to common questions presented early in the content
• Bulleted lists and short paragraphs rather than dense text blocks
• Specific, concrete claims with supporting evidence rather than vague assertions
• Logical organisation that builds understanding incrementally
• Multiple mentions of key concepts throughout the content (natural repetition, not keyword stuffing)

Implement schema markup across your website. Schema markup is a form of structured data that tells search engines and generative engines explicitly what information your page contains. If you’re a fitness coach claiming certifications, use schema markup to specify which certifications you hold. If you’re claiming years of experience, use schema markup to specify the dates. Generative engines use schema data heavily when generating summaries because it’s reliable, structured information.

Consider your broader citation presence. Generative engines don’t just read your website – they read industry directories, review platforms, professional association listings and other sources. If your business information is incomplete or inconsistent across these platforms, it affects how AI systems understand you. Ensure your citations across platforms like Google Business Profile, industry directories and relevant professional bodies are accurate and comprehensive. For UK businesses, this might include membership in professional bodies or industry associations relevant to your sector.

Publish content that directly addresses customer questions in the language your customers use. If your AI monitoring shows that customers ask Perplexity ‘how do I choose a [your service type]’ but your website doesn’t have content answering this question, that’s a gap you should close. Create buyer’s guide content that naturally incorporates information about your business while providing genuine value to the reader.

Using AI Summary Insights to Refine Your Broader GEO Strategy

Understanding what generative engines say about your business isn’t an end in itself – it’s valuable primarily because it informs your broader Generative Engine Optimisation strategy. The insights you gain from monitoring and analysing AI-generated summaries should cascade through your content planning, keyword strategy and authority building efforts.

Create a feedback loop between your AI summary monitoring and your content calendar. If you notice that summaries about your business type consistently mention specific features or benefits that your business offers but your website doesn’t emphasise, that’s a signal to adjust your content plan. If summaries position your competitors as specialists in areas where you also have expertise, that’s a signal to create content establishing your own expertise in those areas.

Use the competitor representation in AI summaries to inform your competitive strategy. If competitors are mentioned alongside you in AI summaries, analyse how they’re positioned relative to you. Are they described with more specificity? Do they have more credentials mentioned? Are their unique selling points clearer? This becomes input to your competitor gap analysis – you know exactly what differentiators or credentials you need to communicate more effectively.

Track how your AI summary presence changes over time as you implement changes. After you publish new content addressing identified gaps, continue monitoring whether generative engines pick up that information and incorporate it into their summaries. This provides concrete feedback on whether your content strategy is working. Generative engines typically refresh their understanding periodically, though the exact timeframe varies between platforms.

Extend your monitoring beyond brand-specific queries to industry and category queries. When someone asks ChatGPT ‘what should I look for in a [your service type]’ or ‘how to choose a [your service type]’, do the AI summaries mention your business? Or do they only mention it in direct competitor comparisons? This tells you whether you’ve achieved sufficient topical authority and brand visibility to be considered a default choice in your category. Building this type of visibility typically requires broader content authority – think about how you might contribute to industry conversations beyond your immediate service offerings.

For businesses operating across multiple UK regions or serving different customer segments, monitor how AI summaries differ based on geography or intent. You might find that ChatGPT has strong information about your London office but weaker information about your Manchester operations. Or that summaries about your B2B services are more complete than summaries about your consumer offerings. These geographic and segment-level differences show you where to focus your content efforts.

Integrating AI Summary Monitoring Into Your Marketing Operations

Making AI summary monitoring sustainable requires integrating it into your marketing operations and assigning clear ownership and processes.

First, automate what you can. While you can’t fully automate the generation and analysis of AI summaries (LLMs produce slightly different outputs each time), you can automate the execution of searches and collection of results. Some marketing platforms and tools are beginning to offer generative search monitoring features – investigate whether any are relevant to your business. Even without dedicated tools, you can create simple processes: perhaps a monthly calendar reminder to run your monitoring queries and record the results.

Assign clear responsibility. AI summary monitoring works best when one person or one team owns it and reports on findings regularly. This might be your in-house marketing team, your external agency, or a hybrid arrangement. The key is that someone is accountable for running the monitoring, analysing the data and communicating insights to decision-makers.

Build AI summary insights into your quarterly or monthly marketing reviews. Don’t collect this data in isolation – use it to inform decisions about content priorities, keyword strategy and messaging. If your AI summary analysis shows that generative engines describe your competitors more clearly than they describe you, that becomes an agenda item for your content planning meeting.

Create a simple reporting dashboard or document that tracks key metrics over time:

These metrics give you a high-level view of progress and help communicate the value of GEO efforts to stakeholders who may still be focused primarily on traditional search rankings.

Consider also how AI summary monitoring relates to your Google Search Console and Analytics data. If you notice that a particular search query is increasingly served through AI Overviews but your click-through rate from that query is declining, that suggests the AI summary is answering the user’s question sufficiently that they don’t need to visit your website. This might require adjusting your content strategy – perhaps making your content more remarkable or including a compelling call-to-action that encourages clicks even when the summary provides basic information.

Developing a Response Strategy for Inaccurate or Misleading AI Summaries

Occasionally, you’ll encounter AI-generated summaries that are factually inaccurate, outdated or misleading. When this happens, you need a clear strategy for response. Unlike Google search results, you don’t have a direct mechanism to request correction of an AI summary. Instead, your leverage lies in creating accurate, authoritative content that gives the generative engine better source material to work from.

If you discover an inaccurate claim in an AI summary – for example, ChatGPT states that your company was founded in 2015 when it was actually founded in 2008 – your first step is to verify the information and understand why the error occurred. Check your website: is your founding date clearly stated and properly marked up with schema? If not, that’s the problem. Update your website to include this information prominently and in structured format, then continue monitoring to see whether generative engines correct themselves over time as they encounter your more authoritative content.

If a generative engine includes information about you that you believe is inaccurate because it came from an outdated source (old website content, outdated directory listing, or third-party article), identify the source and address it. Update your website if necessary. If the source is an external directory or review platform, contact the platform to request correction. As generative engines encounter corrected information across the web, their summaries should evolve.

Be cautious about over-reacting to summaries that simply don’t mention certain aspects of your business. If Perplexity never mentions your premium tier of services, that’s not necessarily an inaccuracy – it might simply be that the AI system chose to focus on other aspects of your business in its summary. Only actively intervene when summaries contain factually incorrect information or claims that contradict your authentic market positioning.

Document patterns of inaccuracy. If you consistently find that generative engines misunderstand a particular aspect of your business, that’s usually a content problem. Perhaps your website is ambiguous on that point, or perhaps your content simply isn’t detailed enough for the AI system to form an accurate understanding. Create or enhance content to address this gap directly and explicitly.

Frequently Asked Questions About AI-Generated Summaries and Brand Monitoring

How often should I monitor AI-generated summaries about my business

We recommend weekly monitoring for the first month as you establish a baseline understanding, then fortnightly or monthly thereafter. The frequency depends on several factors: how competitive your industry is, how frequently your business information changes, and how much content you’re publishing. If you’re actively publishing new content or making significant changes to your offerings, weekly monitoring makes sense because you want to see how quickly generative engines pick up and reflect these changes. If your business is relatively stable, monthly monitoring is probably sufficient. The key is consistency – you want to see trends over time, and that requires regular, scheduled monitoring rather than ad-hoc checks whenever you think about it.

Do all generative engines produce the same summaries about my business

No – they typically produce different summaries even when responding to identical queries. This is because they use different underlying large language models, have access to different training data (with different cutoff dates), and apply different algorithms to select which information to include in summaries. ChatGPT might provide a summary emphasising your experience and track record, while Perplexity might focus on your unique methodology. Google AI Overviews might provide a more balanced overview touching on several dimensions of your business. This is why monitoring all three platforms is valuable – you get a more complete picture of how generative engines collectively understand your business, and you can see which platforms are getting information right or wrong.

What should I do if a generative engine has completely omitted my business from its summary

Complete omission usually indicates one of three problems: your website content isn’t being indexed by the generative engine’s training data, your content isn’t strong enough or relevant enough to make it into the summarisation, or your business simply isn’t being queried in ways that would trigger inclusion. Start by verifying that your website is indexable – check your robots.txt file and your meta robots tags to ensure you’re not accidentally blocking search engines. Then audit your content: are you producing content about the topics that matter in your industry? If you’re a solicitor and you don’t have any content about employment law but customers are asking generative engines about employment solicitors, that’s why you’re not appearing in relevant summaries. Create more targeted, authoritative content and build your topical authority. You should also consider whether you’re building citations in other reputable sources – generative engines draw from directories, industry websites, review platforms and news coverage in addition to company websites.

How do I know if the AI summary is actually using my website as a source

Some generative engines show citations – they explicitly mention which sources they drew from when generating a summary. ChatGPT often includes source citations, as does Perplexity if you look carefully at the response. Google AI Overviews includes source attribution in the form of small citations next to claims. Look for these citations and note whether your own website appears. If it does, you know the AI system has your content and is using it. If it doesn’t, but competitors’ websites do appear, that suggests your content either isn’t being found or isn’t being considered as authoritative or relevant as competitors’ content. This is actionable feedback: you need either to create better content or improve your SEO to increase visibility and authority.

Can I request that a generative engine remove incorrect information about my business

There’s no formal mechanism like Google’s search result removal tool for generative engines. Your leverage is indirect: you create accurate, authoritative content on your website and across trusted platforms, and over time as generative engines encounter this better information, their understanding evolves. If an AI system is consistently using a third-party source that contains incorrect information (perhaps an outdated news article or an inaccurate directory listing), contact the platform hosting that content and request correction. As the source material improves, generative engines will naturally create more accurate summaries. You can also improve your schema markup and on-page content clarity to make the correct information more obvious and harder to misinterpret.

Should I change my website content strategy just to influence AI summaries

No – your website content should always be optimised for your actual customers first, then for search engines and generative engines second. The good news is that content that’s clear, well-organised and answers customer questions tends to work well across all of these audiences. If you’re making changes to your content strategy based on AI summary analysis, it should be because those changes also serve your human audience. For example, if you discover that generative engines aren’t mentioning your certifications, that’s often because your certifications aren’t prominently displayed or clearly explained on your website – and your human customers probably want to see this information too. The alignment is usually there; you’re not writing for machines, you’re writing for people and designing content in ways that both humans and AI systems can understand.

What role does Google Business Profile play in AI-generated summaries

Google Business Profile (GBP) information does influence Google AI Overviews and Google’s own generative features, and it may influence other generative engines that index Google Maps data or that use Google data as one source among many. Your GBP should be complete, accurate and up-to-date: all business information, opening hours, photos, reviews and posts. However, GBP is usually just one of many sources that generative engines consult. Your website content, industry directories, professional memberships and earned media coverage often carry more weight than GBP in determining how generative engines understand your business. Think of GBP as one component of a broader strategy rather than the primary lever for influencing AI summaries.

Are there specific industries or business types where AI summary monitoring is more important

AI summary monitoring is valuable across all industries, but it’s particularly important for industries where customers make significant purchasing decisions based on research and recommendations: professional services (accountants, solicitors, consultants), healthcare, education, premium consumer services, and B2B services generally. These are sectors where customers are likely to ask generative engines for advice before making contact with a provider. For instance, if you’re a recruitment consultant, customers might ask ChatGPT ‘how to find a recruitment agency that specialises in tech hiring’ – if you’re not mentioned in relevant summaries, you’re missing visibility. That said, even for simpler, transactional businesses, monitoring is worthwhile because it provides insights into how your market category is being understood by AI systems.

How does AI summary monitoring connect to my traditional SEO strategy

AI summary monitoring and traditional SEO are deeply interconnected. The same content quality, authority and relevance signals that drive Google rankings also drive whether and how your business appears in AI summaries. The difference is in the metrics: traditional SEO focuses on rankings and click-through rates; GEO focuses on appearance in summaries and accurate representation. You might notice that you rank well in Google but aren’t being mentioned in ChatGPT summaries for similar queries – this usually means your content isn’t reaching or influencing ChatGPT’s training data effectively, which might indicate you need stronger topical authority or more extensive content coverage. The insights from AI summary monitoring should feed back into your SEO strategy and vice versa. They’re not separate strategies; they’re different lenses on the same fundamental goal of visibility and authority.

What if my business is very niche or local – is AI summary monitoring still relevant

Yes, absolutely. Even for highly niche or local businesses, generative engines are being used to research options and make purchasing decisions. A customer looking for a specialist orthodontist in Manchester might ask Perplexity ‘best orthodontists in Manchester’ or ‘orthodontists who specialise in adult treatment near me’. Whether and how you appear in the resulting summary matters. For local businesses especially, monitoring AI summaries in your geographic area is important – you might discover that generative engines have outdated information about your location or services, or they might be overrepresenting competitors. The core process remains the same; you’re just monitoring a more specific set of queries focused on your locality and niche specialisms. If you’re interested in GEO specifically for your industry vertical, you might find resources like our guidance on GEO for business coaches or other specialist sectors helpful.

How long does it typically take to see changes in AI summaries after publishing new content

This varies significantly between platforms. Google AI Overviews can potentially reflect new Google index content relatively quickly if you use Google Search Console to request indexing. ChatGPT’s training data has a cutoff date – as of our last update, it doesn’t include real-time web content – so changes to AI summaries on ChatGPT happen on a much slower timeline, potentially weeks or months. Perplexity appears to crawl web content more frequently and may incorporate your updates relatively quickly. The safest expectation is to allow 4 – 12 weeks to see changes, but monitor actively so you can capture the exact timeline for your platforms. Track the date you publish content and the date it first appears mentioned in AI summaries to build your own empirical understanding of these lag times.

Implementing Your AI Summary Monitoring Programme Today

You now have a comprehensive framework for understanding how generative engines are talking about your business and actionable strategies for improving those summaries. The key to success is moving from understanding into action.

Start this week by identifying your core query clusters – the 10 to 15 most important searches you want to win for your business. These should cover different intent types (brand queries, service category queries, comparison queries, geographic queries) and represent the main ways your target customers discover you. Write these down and create a simple spreadsheet or document to track them.

Next, run a baseline monitoring session. Search each of your core queries on ChatGPT, Perplexity and Google (checking for AI Overviews where available). Document what you find: are you mentioned, how are you positioned, what claims are made about you, which competitors appear alongside you. This baseline is your starting point. It doesn’t need to be perfect; it just needs to be consistent and repeated regularly.

From this baseline, identify your three most important gaps or opportunities. These might be instances where you’re not mentioned at all, where you’re inaccurately described, or where competitors are positioned more effectively. Prioritise the gaps that affect the most important or most frequently searched queries and that represent the largest misalignment with your actual market positioning.

Create content to address these gaps. Work with your marketing and content teams to develop a small content plan focused on closing these gaps. This might be a new service page, a detailed buyer’s guide, a collection of case studies or an expertise article. The content should be high-quality, targeted at your customer audience and structured in a way that makes it easy for generative engines to understand your message.

Publish this content, ensure it’s properly indexed and optimised with schema markup, then continue monitoring your core queries monthly for the next three months. Track whether generative engines pick up your new content and whether their summaries of your business improve.

This systematic approach – monitor, analyse, identify gaps, create content, measure impact – creates a sustainable cycle of improvement. Over time, as your content authority grows and generative engines’ understanding of your business becomes more accurate and complete, you’ll see consistent improvements in how you’re represented in AI summaries. This leads directly to better visibility in generative search and stronger positioning as a trusted option in your category.

The businesses that win in generative search will be those that understand not just whether they rank well, but how they’re being talked about. By monitoring and optimising AI-generated summaries about your business, you’re taking control of that narrative and ensuring that when customers ask generative engines about your industry, you’re represented accurately, prominently and convincingly.