The answer is clear, traditional SEO is still critical. However, AI-driven search is changing how information is found, processed, and presented. Large Language Models (LLMs) now play a significant role in how your website is understood and ranked. LLMs, such as Google’s Gemini 2.0 Flash and OpenAI’s o3 mini, are quickly changing how consumers seek and receive information. These AI-driven systems interpret and generate human-like text, influencing decisions and shaping perceptions. Large Language Models (LLMs) now play a significant role in how your website is understood and ranked.
So, how can you ensure your brand’s content is optimised for both search engines and AI models? Here are seven key strategies to help you stay visible in search and maintain brand clarity across AI-driven platforms.
Entities are key concepts, such as brands, products, and services, that search engines and AI models use to understand content. For your brand to be correctly recognised and associated with the right expertise, you need to use your brand name consistently alongside relevant keywords. Instead of writing generic descriptions for example at Varn we could say “We offer great services,” it’s important to be clear and explicit. A stronger alternative would be: “At Varn, we offer innovative SEO services powered by data.”
By making these connections clear, search engines and AI-driven models can better associate your brand with specific topics and expertise. This increases the likelihood that AI-generated search responses will accurately reference your business.
LLMs are designed to understand and generate human-like text, so your writing should be as clear and natural as possible. Overly complex or jargon-heavy content can be difficult for both AI and human readers to interpret.
When creating and writing content, imagine you are explaining your services to someone with no prior knowledge of your industry. Keep your language simple, direct, and conversational. If your subject matter is technical, take the time to explain key terms in a way that is accessible to a general audience.
By making your content easier to understand, you improve its accessibility for users while also increasing the likelihood that AI models will accurately interpret and feature your content.
Content that is well-organised and clearly structured is easier for both search engines and AI models to process. This means using descriptive headings, subheadings, and logical formatting to guide readers and search algorithms through your page.
For example, if an AI bot encounters a section titled “Benefits of Optimising Your Brand Language for LLMs” followed by a well-structured list, it can quickly determine that the following points describe the advantages of LLM optimisation. This helps AI models extract and summarise relevant information more accurately.
Breaking up content with bullet points, numbered lists, and short paragraphs also improves readability. Both human users and AI bots can more efficiently scan and process your information, leading to better search rankings and improved user engagement.
Think of your website as a well-organised library where every piece of content has its proper place. If your pages are connected in a logical and intuitive way, AI models and search engines will have an easier time understanding how different sections of your website relate to one another.
If your homepage links to main sections (like “Products” or “Services”) and those lead to specific sub-pages, a search engine or AI can follow that path to understand how your content is grouped. This again provides even more context to the information you are publishing, improving AIs understanding of your brand, or entity. A clear and connected website architecture not only enhances user experience but also signals to search engines that your content is well-structured and authoritative.
Authority and credibility are just as important for AI models as they are for traditional search engines. If trusted sources reference your brand or website, AI models are more likely to feature your content in their responses.
To build authority, focus on securing high-quality backlinks from reputable industry websites. Publishing guest articles, participating in expert panels, and being featured in respected publications all help establish your brand as a reliable source of information. Digital PR efforts not only improve traditional SEO rankings but also enhance your brand’s visibility in AI-generated search results.
AI-driven search is heavily focused on answering user queries. To improve your chances of appearing in AI-generated responses, structure your content to provide clear and direct answers to commonly asked questions.
Consider incorporating an FAQ section into your website or structuring blog posts around key industry questions. When answering these questions, be concise and informative. Well-structured, easy-to-digest responses are more likely to be surfaced by AI models when generating answers for users.
Just as brands create tone of voice guidelines for marketing and social media, it is now essential to establish guidelines for AI-generated content. AI models pull from existing online content to generate responses, so ensuring consistency in your brand’s language across digital platforms is key.
Define the messaging and terminology that best represents your brand, and ensure that AI-friendly content aligns with these guidelines. Regularly review AI-generated responses related to your business to identify any inconsistencies. By being intentional about your brand language in AI-driven search, you can maintain control over how your business is perceived and ensure that AI-generated content reflects your true brand identity.
The way we search for information is changing rapidly. The rise of AI-driven search means that brands need to optimise their content for both traditional search engines and LLMs. However, this doesn’t mean abandoning traditional SEO; it means evolving your strategy to align with how AI models interpret and present content.
By focusing on clear, structured content, entity-based optimisation, and AI-friendly brand language, you can improve your visibility across both traditional search results and AI-powered search platforms. As search continues to evolve, staying ahead of these trends will be critical for maintaining brand presence and ensuring your content reaches the right audience.
If you want to learn more about optimising your website for AI search, contact our team at Varn for expert guidance.
Google’s AI Mode is a new search experience (currently only available to Google One AI Premium members in the US via Search Labs) that uses Google’s latest AI model (a custom version of Gemini 2.0) to generate rich, conversational answers directly in Google search results. Instead of just showing a list of website links, AI Mode gives an AI-generated overview in response to your query, complete with relevant information gathered from multiple sources and accompanied by citations/links for reference. It is particularly designed for complex or multi-part questions that typically would require multiple searches – for example, comparing detailed options or exploring a new concept step-by-step. As with other AI powered search tools, users can ask follow-up questions in a conversational manner, allowing them to dive deeper into a particular topic within the same search session. This effectively turns search into an interactive dialogue, powered by Google’s AI and backed by Google’s vast index of information.
Google’s AI Mode uniquely combines generative AI with Google’s established information systems. It can tap into the Knowledge Graph, real-time data about current events, and even shopping data for product information. Whilst the current version of Google AI Mode available via Search Labs hasn’t shown product listings as part of any of our test searches, this is still in experimentation mode and so we will likely see many new developments over the coming weeks and months.
Google’s AI Mode introduces several notable features and enhancements over a standard search experience:
With these capabilities, Google’s AI Mode is poised to change how users interact with search, especially for in-depth inquiries. Next, let’s compare how this new mode stacks up against other AI-powered search tools available today.
Google is not the only player integrating AI into search. Competing offerings like Perplexity AI and OpenAI’s ChatGPT (among others) also provide AI-driven search or Q&A experiences. However, each takes a different approach.
Perplexity AI is a newer AI-powered search engine that, like Google’s AI Mode, answers questions by fetching information from the web and then summarising it with an AI model. Perplexity has gained a niche following for its clean interface and strong focus on citations. How does it differ from Google’s AI Mode?
Strengths & weaknesses: Google AI Mode’s strength against Perplexity is the combination of breadth and depth – it can answer more complex questions by drawing on more sources and using better reasoning, all integrated in one place. Perplexity’s strength is being lean and focused: it often gives very concise answers with minimal fluff and clearly shows sources, which some users (especially researchers) appreciate. However, users have to go to a separate site or app to use Perplexity, whereas Google’s AI Mode is in a place where billions of searches are already happening. Overall, Perplexity pioneered the kind of experience that Google is now building natively, but Google’s version could eclipse it by virtue of superior data integration and user convenience.
ChatGPT, developed by OpenAI, isn’t a search engine, but it is a prominent AI tool often compared in this space because it answers questions in a conversational way. It’s important to clarify the context: ChatGPT (the default free version) does not have direct access to live web information. Still, many people use ChatGPT as an information tool, so how does Google’s AI Mode differ?
Strengths & weaknesses: Google’s AI Mode is strongest where ChatGPT is weak: real-time factual queries with need for source attribution. It provides an answer you can cite or trust to be up to date. ChatGPT’s strength is in open-domain creativity and instructive dialogue – it’s often more flexible in what you can ask. For an SEO expert or researcher, Google AI Mode might be the preferred tool for gathering information with confidence in the source; ChatGPT might be what you use to brainstorm how to use that information or to generate content from it. One could imagine using both: e.g., ask Google AI Mode for the latest stats or details on a topic (with sources), then use ChatGPT to help craft a report or article around that info. Another point: ChatGPT, being model-based, sometimes injects more of a conversational filler and can occasionally deviate. Google AI Mode, guided by actual search results, is more likely to stick to the point. In summary, ChatGPT is a broad AI assistant with knowledge (albeit time-limited), whereas Google’s AI Mode is an AI-enhanced search specialist grounded in live data. Each has their place, but for the specific job of answering search queries with current info, AI Mode is built to excel.
The introduction of AI Mode in Google Search has significant implications for user behaviour and how people interact with search engines:
Mobile and voice implications: As search becomes more conversational, voice search is likely to become much more popular. AI Mode’s development might bleed into how Google Assistant or mobile voice queries are answered (more conversationally, with summarised info). If AI Mode makes it easier to get a direct answer, people might be more inclined to ask their phones a question out loud and trust the spoken response.
In summary, AI Mode is changing search behavior by making search more of a dialogue and less of a directory. It is important that we place additional focus on conversational search within SEO, and that we optimise content for voice search, long-tail keywords, and individual entities – but we need to do so whilst making sure we don’t ignore traditional search. Google may have seen a large drop in their market share in recent months thanks to the introduction of other AI powered search tools, but they may just start pulling that traffic back thanks to the launch of AI Mode. We’ll keep an eye on these developments, and will let you know when Google AI Mode is ready for the general public.
In the meantime, if you’re concerned about search performance in this new era of AI and would like to make sure your website is optimised for AI search, give us a call – we would love to hear from you.
Although traditional searches have become longer and use natural language, voice searches tend to be more conversational, as if users were having a real-life discussion. For example, a user may type “Top 5 holiday destinations 2025” but verbally ask “What are the top 5 holiday destinations in 2025?”. Voice search queries tend to be informational, especially if a user makes a request via a smart speaker, or commercial if using another voice-assisted device such as a mobile phone. In comparison to traditional searches, voice searches produce more clear and concise results, often with AI Overviews and featured snippets. It’s also worth noting that a large portion of voice searches come from users who are on the move, particularly when using a mobile device, to get quick answers.
Voice search works through an automatic speech recognition (ASR) system, which translates speech to text as follows:
One difficulty with voice search is that some people using smart speakers for voice search will be unlikely to investigate what source was used. For example, a user asking an Alexa “What is the best material to make a knitted jumper?” will not be able to click through to a website selling wool and be converted into a potential customer. So you may be asking the question, if appearing in voice search results may not lead to increased traffic on my website, why do I need to optimise for it?
Firstly, voice search covers a wide range of devices, not just Alexas or Echos, and secondly, the steps you would take to optimise your website for voice search are also helping to optimise your website for traditional searches. So improving your website’s SEO for voice search will likely come with many benefits such as appearing in SERP features and AI Overviews, and ranking well organically. Voice search is about capturing these users and drawing them into your website, as they may become customers, so it’s great to include this in your overall SEO strategy.
Because questions used in typically written searches are becoming longer and more conversational, similar to voice searches, optimising the below elements for voice search essentially allows you to hit two birds with one stone. Matching search intent, including relevant keywords, adding schema where applicable, and optimising for local search and mobile will have positive effects on your rankings. Here are a few ways you can optimise your website’s SEO for voice search, whilst helping to enhance its general SEO performance.
Keywords and search intent
Keyword research enables you to understand your target audience and tailor your website’s content. You can find keyword opportunities through resources such as Google Search Console, Google Ads, or Google Analytics, as well as third-party tools such as SEMRush, Ahrefs, and Moz. It’s important to include long-tail keywords, conversational phrases, and semantic keywords to cover a range of relevant queries your audience uses to find your website’s products and services.
To strengthen your content strategy, match search intent to your content. If a user is searching for “the best Greek salad recipe”, they will likely be looking for recipe SERP features with the most appealing name, enticing description, and attractive image. The above query is an informational one, so if your business sourced fresh fruit and vegetables, you could add a recipe under blogs or a designated recipes folder. Along with this content, you should also include recipe schema, adding relevant data such as a title, description, optimised image, and reviews, to increase the likelihood of appearing in recipe SERP features.
FAQs and Schema
As SERP features and AI Overviews are now in search results, the typical organic blue links that make up the top 10 results get pushed down the page. But as the screen on a mobile device is much smaller, users are likely to focus more on these top features in voice search results as opposed to website URLs. Therefore, it’s important to optimise your content, following a question-answer style while adding FAQs to pages where relevant. Alongside keyword research, you can see which questions users are searching by looking at the ‘People Also Ask’ SERP feature and looking at commonly asked questions in customer feedback.
Marking up your website’s content with a range of schema types will increase the likelihood of appearing in SERP features. Here, user-generated content (UGC) such as reviews and testimonials are great additions to your pages and schema as these make your site more credible, a factor that influences web rankings.
Optimise for local search
As highlighted earlier in our blog, a large portion of voice searches made from a mobile device are by users who are on the move. These users are often making local searches, such as “What’s the nearest supermarket near me?” or “Where can I get my phone fixed?”. Therefore, to optimise your website for local SEO, make sure that your Google My Business profile is up to date, particularly if you have a physical store. Including location-specific landing pages on your website is also beneficial as these can rank for location-specific keywords in SERPs.
Mobile optimisation
Due to Google’s mobile-first indexing approach, you need to make sure your website is up to scratch on mobile. Not only does a fast mobile site speed matter in Google’s eyes, but people using voice search, particularly when on the move, are looking for quick answers and quick buys. Users want to be able to find the information they are looking for easily on your site. Having a smooth, functional, and logical navigation on your mobile site plays a part in conversions. If a site is too slow, elements are unresponsive, or a user cannot find what they are looking for, they may simply leave the site.
Although you aren’t able to directly see your website’s appearance in voice search results, there are various elements you can track to get an understanding:
Appearing in voice search results isn’t an easy one-route path; Following a range of SEO tactics including question-answer style content, long-tail keywords and phrases, and schema markup as well as optimising your website for mobile and local search will improve your website’s performance in voice search results.
Want to learn more about how AI is changing search? Check out our AI Search and Innovation blogs, or contact one of our SEO experts today.
When looking at the kind of backlinks it is important to think about the context. Looking at an example for Varn, we conducted a search on the ‘best off-page SEO agencies’ and it returned the below result. Content pulls through from Varn’s Off-page SEO page but the sources section at the bottom is what we are really interested in.
Examining the content we can see that whilst some commercial pages are shown including Varn’s there is a high number of long-form content pages listing out SEO agencies. These kinds of lists are becoming more common across the web and appear to be what SearchGPT is prioritising when it comes to citations. If your website is mentioned in this kind of content, you are more likely to appear in SearchGPT for relevant results. Varn for example are featured in the Social Shepherd article but not in similar referral style pages from Omnius or Designrush.
These represent golden opportunities to reach out and ask for a placement. In addition to this we are also seeing more reddit results be leveraged within the content, whether this will stay or not is difficult to determine, but for this thread around the best SEO agencies in the UK, getting Varn featured is also a bonus. The question is, will not having a backlink in this kind of content have an impact?
Brand mentions have been a part of SEO for over a decade but their potential importance has often been debated. In the early days pre-2012, their importance was minimal, with a pure focus on backlinks. Following the Penguin and Hummingbird updates, the algorithm developed in terms of context and entity recognition, and this coincided with the Google patent on ‘implied links’ , a hint that unlinked brand mentions could be a ranking signal.
From 2015-1018, brand mentions became more important and started to play a significant role in signalling authority if they were placed on authoritative sites. This trend has continued up to 2024, with the added dimension of LLMs now clearly leveraging brand mentions in the answers they surface to users. The areas of the mentions may also play a part, as Neil Patel discusses:
“The more mentions, the more likely AI models are to consider your content high quality.
That could be things like user-generated content reviews, comments, and forum posts. These are the types of information large language models are likely to use, so use social listening tools to discover these comments.”
What does SearchGPT say?
Our question: Do you use brand mentions on forums, social posts and wider non-traditional SEO sources in your algorithm when serving answers on brands to users?
SearchGPT: I don’t have my own algorithm for ranking brands, but I can analyze and synthesize information based on a mix of sources, including brand mentions on forums, social media, news articles, and other online discussions. However, my responses prioritize authoritative sources like official websites, structured SEO-optimized content, and well-cited information.
Are unlinked mentions still a tactic worth pursuing? Google’s grip on search has not vanished just yet, but with their dip below 90% of the market share for the first time since 2015, ensuring your time is spent on the most valuable tactics will be crucial.
So we’ve discussed the kind of citations that SearchGPT uses for content around ‘best X service providers’ and we have explored the added importance of brand mentions on these types of pages and wider sources on the web. How do you actually go about driving these for your business?
Brand mentions and off-page SEO is here to stay with the new AEO paradigm, if you want to continue to earn visibility remember to:
If you would like to discuss how LLMs serve content to users and how you can get featured in commercially valuable searches no matter the platform, get in touch with Varn today.
As we settle into 2025, the ongoing cost of living crisis and economic volatility continue to strain both employees and employers, with many employees facing heightened financial insecurity.
So how can you optimise your benefits budget without cutting value? The first step is to discover how to reallocate wasted spend, secure better pricing, and leverage tax-efficient benefits to maximise impact.
Managing employee benefits, cost control is always on the agenda. But savings don’t have to come at the expense of employee experience. With a smart approach to benefits design, companies can reallocate wasted spend to more impactful benefits – or a better benefits platform to help you manage it all. This makes the most of your existing budget while boosting value for employees.
This practice is sometimes referred to as “cost-neutral benefits,” but the reality is more nuanced. While some companies can identify and redistribute significant savings, others may already be optimising their spend. Either way, a strategic review of benefits is always worth the effort.
Here are three key ways employers can find opportunities to optimise their benefits budget:
A common mistake? Investing in benefits that employees don’t value. Recent key research tells us that there is low appreciation levels from employees for their benefits.
The cause is likely to be benefits that don’t align with employee needs.
For example, a Bristol Creatives startup made up of mostly employees in their twenties might be overfunding its life insurance policy, as employees in this age group are less likely to engage with life insurance. By scaling back the coverage from 10x to 2x cover, they could free up a big chunk of their spend—money that could be reinvested in wider range of more relevant benefits, or a platform that helps manage the administrative burden of benefits.
So how can Business Leaders identify these opportunities?
But before you go cutting less utilised benefits, remember: there are some benefits that few employees might use, but that are highly valuable and even life changing to them when they do, such as reproductive assistance or critical illness cover. It’s important to balance these factors when assessing your benefits. Speaking to a benefits design expert will be your best bet to strike that balance.
Cost savings aren’t just about what you offer, but also how you fund it. Many companies lose money by not negotiating the best rates with insurers or missing out on more efficient financial structures.Here are some key ways to make the most of funding:
By optimising financial structures, companies can often unlock significant savings without compromising on benefits quality.
3. Leverage tax-efficient benefits
Another overlooked opportunity is tax-efficient benefits, particularly salary sacrifice schemes. These allow employees to exchange part of their salary for benefits, reducing both employer and employee tax contributions.For employers, this means that you’re able to offer amazing benefits like electric vehicle leasing schemes and even grocery schemes…at no cost to you!
In the UK, salary sacrifice arrangements can create savings on:
For employers not already leveraging these benefits, the savings can be substantial, especially on National Insurance contributions. Yet many organisations fail to fully utilise these tax advantages, leaving money on the table.
Maximise your benefits budget with expert support
Not every company will uncover huge savings—but almost all can optimise their approach. By identifying low-value spend, negotiating better financial models, and leveraging tax-efficient benefits, Business leaders and HR provide a significantly improved offering without increasing their spend.
Want to find out where your organisation can unlock savings? Book a free benefits audit consultation with me –same budget, bigger results.
Schema is a machine-readable markup language that can be added to a page’s HTML and is used to define what is on a page for better comprehension by search engines [5]. There are various types of Schema (e.g. Product, Organization, ImageObject) – with a full list available on schema.org/ – but it is important to note only some have associated rich results, and that these are not guaranteed even with schema markup added to your page. However, don’t let this put you off from adding other types of schema to your site – the more information you can markup about your content the better!
Schema can be added directly to page HTML, or often there are options to add this directly through your CMS. Plugins such as Yoast can also be used to generate Schema – this code can often be taken as a starting point to create the more interconnected graphs we will touch on later in this article.
When writing Schema, we recommend making good use of tools like Google’s Structured Data Markup Helper or the JSON-LD Playground to validate code as you write it. Google’s Rich Result Validator will show if your Schema markup (either through a page URL or code snippet) is correct and eligible for rich results, whilst Schema.org’s Validator will show if a page’s Schema implementation or code snippet is correct and error-free.
Schema in the context of Semantic (Entity) SEO
To understand how to optimise for AI search, we must first understand the shift from lexical to semantic search algorithms. Lexical algorithms rely solely on keyword matching, whilst semantic algorithms focus on comprehending natural language, alongside the meaning and intent behind a query, to give answers that go beyond surface-level associations [2]. Semantic search aims to deliver more relevant, helpful, and tailored results for users, resulting in a better user experience and more intuitive search behaviours.
Semantic search structures and understands content through modelling this into entities, their properties, and the relationships between them [3]. Here, an entity refers to a specific concept in the real world – a person, place, organisation, idea, etc. Google combines all these components together into a knowledge graph – a graphical representation of entities, their attributes and the links between them.
AI platforms such as ChatGPT and Gemini rely on semantic search and schema markup to interpret and process information, as this allows them to extract information and comprehend content much faster and with fewer computational resources [6]. Therefore, optimising your Schema markup for semantic search will also help optimise for AI.
Essentially, accurate and thorough Schema markup presents semantic value to search engines – it adds greater contextual meaning and defines relationships between entities on a site [1]. Adding Schema markup provides this information to search engines in a quick, clear and easily understood way, meaning search engines do not have to process and infer this information themselves.
Historically, Schema has not been used as extensively as it could to define the relationships between entities, as adding independent Schema types was enough to go after rich results. However, when looking to optimise for semantic search, the focus has shifted less from defining entities themselves to defining the relationships between them, focusing on building up Google’s knowledge graph for your content to ensure this is properly and thoroughly understood.
In real terms – we want our Schema Markup to be one connected graph, rather than a series of separate blocks of code so search engines (and AI search!) can best understand these relationships [4].
For example, you may have:
As 4 separate blocks of code on your site, this may be sufficient to try and gain a rich result, but this does not define the relationships between any of these entities.
What we would instead want is:
We (and search engines) can now clearly see how these entities are linked in one graph, helping convey greater meaning and optimising for semantic search.
When looking to future-proof your SEO strategy, you need to ensure that search engines can truly comprehend your content, not just parse it and identify keywords, and Schema Markup is an important tool for this. We have seen rich result types come and go, but Schema as a tool is important to future-proof your SEO strategy in 2025 and beyond – laying the fundamentals of getting your content fully and accurately understood by semantic search models and AI search engines.
Interested in Schema markup for your site? Contact Varn today to talk to our team of experts and discuss your AI search strategy!
References:
[1] https://www.schemaapp.com/schema-markup/evolving-role-of-schema-markup/
[2] https://myscale.com/blog/semantic-search-vs-lexical-search-key-differences/
[3] https://www.wix.com/seo/learn/resource/semantic-seo
[4] https://yoast.com/why-schema-needs-to-be-a-graph/
[5] https://www.wix.com/seo/learn/resource/structured-data-for-seo
[6] https://www.npgroup.net/blog/role-of-schema-markup-in-ai-friendly-websites/
Over the past couple of months, we’ve been hearing a lot of rumblings within the SEO field, including many questions about the longevity of SEO. “What’s next for SEO?”, “Is SEO still worth investing in?”, “IS SEO DEAD?” Well, if you ask me… SEO isn’t dead, but ranking #1 on Google? That just might be.
For years, we have relied on traditional KPIs such as Google keyword rankings and CTRs to measure SEO success. While these metrics have long been the gold standard for determining how effectively a website performs in search engine results, SEO is evolving. It’s time to stop focusing on keyword rankings, instead prioritising search visibility. The rapid rise of AI-powered search and answer engines isn’t just impacting Google’s market share – it’s also revolutionising how we approach SEO as a whole.
For over a decade, Google has dominated the search engine market, holding more than 90% of the global market share at its peak. However, recent data indicates that Google’s market share has dropped to its lowest point in over ten years. While Google still holds a commanding lead, this decline signals a growing trend: users are exploring alternative search tools and platforms that better meet their evolving needs.
Several factors contribute to this shift. Chief among them is the development of artificial intelligence in search technology. AI-powered tools like ChatGPT, Perplexity AI, and SearchGPT are changing how users seek information. These tools don’t function like traditional search engines that provide a list of ranked results. Instead, they act as answer engines, delivering direct, concise, and often accurate responses to user queries.
This shift in user behavior demonstrates the need to rethink how we measure SEO success. If you want your content to get noticed, you need to start thinking beyond individual keywords and rankings. Don’t put all of your focus into Google – it’s time to expand your strategy and meet your audience where they are.
Search visibility is becoming the cornerstone of effective SEO strategy. But what exactly does “search visibility” mean?
Search visibility refers to how easily and frequently your brand, content, or website appears across various search and information platforms. Unlike traditional KPIs, which are specific to a single search engine (typically Google), search visibility encompasses a broader, more holistic view of where and how your content is discovered.
For example, an SEO strategy focused on search visibility would prioritise:
Content Depth and Relevance: Moving beyond keyword stuffing and instead creating content that directly answers user questions, provides actionable insights, and builds trust.
AI Integration: Ensuring your content is structured and optimised to be easily understood by AI-powered tools like ChatGPT and Perplexity AI.
Platform Diversification: Expanding beyond Google to include optimisation for alternative search engines like Bing (which now integrates OpenAI technology), and even social media platforms with robust search functionalities like YouTube, Instagram, and TikTok.
Artificial intelligence has fundamentally altered how people search for information. Nobody has time to dig through 10 pages of Google results – be realistic, when is the last time you visited page two of Google? We want fast, direct answers – preferably concise answers that fit into one or two sentences, with additional information available if needed. This is evident in the growing popularity of AI-powered tools that act as personal assistants, offering:
For SEO professionals, this means adapting strategies to align with how AI understands and processes content. For example, structured data, schema markup, and natural language optimisation are critical components of ensuring that your content is easily digestible by AI.
Here are some actionable steps to help create and maintain a successful SEO strategy based on search visibility:
As Google’s dominance declines and AI-driven search tools rise in prominence, the SEO industry is undergoing a seismic shift. The metrics and strategies that once defined success are giving way to a new paradigm centered on search visibility. To stay ahead, businesses must adapt their approaches, embrace the opportunities presented by AI, and ensure their content remains discoverable.
In this AI-driven future, the winners won’t be those who cling to outdated KPIs but those who innovate, evolve, and prioritise visibility. The question isn’t whether you’re ranking #1 on Google – it’s whether your audience can find you regardless of platform, using increasingly popular conversation search terms.
If you would like to find out more about how Varn can help increase your search visibility, or you would like to discuss AI’s impact on SEO, please contact us. Our expert, friendly team would love to hear from you.
Proud to share the incredible work of our amazingly talented Graphics students (Level 3 & HND) from the Digital and Creative department at City of Bristol College 
Working on a brief set by Halo Studio , they designed a limited-edition can for Batiste Dry Shampoo, inspired by 2025 design trends. The results? Absolutely stunning – showcasing creativity, technical skills, and future-ready design thinking. Well done to the creative team who supported this.
hashtagCreativeEducation hashtagStudentDesign hashtagGraphicDesign hashtag2025Trends hashtagCityOfBristolCollege hashtagDigitalAndCreative hashtagDesignInnovation hashtagHALODesignAgency hashtagProudEducator hashtagFutureOfDesign
As I mentioned within a recent LinkedIn post, the end of 2024 saw the biggest drop in Google’s market share that we’ve seen in almost a decade. Not only does this demonstrate clear decentralisation in search, it also emphasises the importance of having your website content successfully crawled and indexed by alternative search engines and AI tools. With a growing array of such tools gaining rapid traction – such as SearchGPT, ChatGPT, and Perplexity AI – it is vital that any website aiming to drive significant search traffic is accessible to these emerging platforms and their associated bots.
One of the main ways in which you can determine whether your website content is being crawled by search engine / AI bots is by reviewing your website log files. There are two methods you can use to do this, you can either take a manual approach and review the logs yourself, or you can use a log file analyser tool such as that offered by Screaming Frog. I am going to go into more detail below – but please know that if you aren’t comfortable accessing or analysing log files, please get in touch. The experts at Varn are here to help!
If you have access to your website’s cpanel, then your log files should be easy to locate. Once you have the relevant log file(s) downloaded, you can simply search (CTRL+F) the file(s) for individual bot user-agent names. As an example, say I am reviewing Varn’s website log files in order to check that our site is being crawled by OpenAI, and that our content can be picked up and presented to users when carrying out relevant searches using ChatGPT. When searching a test log file for the user-agent ‘ChatGPT’, I can see that this appears multiple times, one of which has been captured within the snapshot below:
This snippet from our log file tells us that OpenAI’s ChatGPT bot has been able to successfully crawl content on the Varn website. But that’s not all. We can also see from the information provided that this specific crawl took place on the 15th January, and that the content being accessed was one of the Varn blog posts containing information on optimising LinkedIn pages. Access was successful, according to the 200 HTTP status code, and the absence of a referrer suggests this was a direct crawl initiated by the bot. With this data, we can systematically review additional log file entries to verify whether other content types on the Varn site have been accessed by OpenAI’s bot. Ensuring comprehensive crawl coverage is essential for making relevant content available for potential inclusion in future ChatGPT responses.
As previously touched upon, you can also review your website log files using a log file analyser – in this example, we will use one we use on a regular basis, provided by Screaming Frog.
Screaming Frog’s log file analyser is very intuitive. After uploading your log file, you will be presented with a number of tables and graphs. This includes a summary of URLs logged, response codes, URL events and more. The information we are looking for can be found under the ‘User Agents’ tab – navigate to this tab and you will see a list of all user agents that have accessed the content on your website. You can then either search for the user agent you need to locate, or order them alphabetically. Below is how the OpenAI ChatGPT user agent is displayed when analysing our test log file within Screaming Frog; you’ll notice that this snippet is also exactly how the user-agent appeared within the previous example, when manually reviewing log files.
Now that we have again confirmed that OpenAI and ChatGPT are able to access the Varn site, we can take a closer look at each of the URLs that have been crawled within the time period covered by this test data. Not only can we see the individual URLs crawled, we can also see the timestamp of each crawl, the remote host IP, the HTTPS response code and much more, thus being able to confirm that our content is crawlable (and is actively being crawled) by ChatGPT.
When we have confirmed that key bots have access to / can crawl our most important content, we can then repeat either of these methods, in order to check additional bots – and not just AI bots. This process works for a variety of user agents, including search engines (Googlebot, Bingbot, Yandexbot, Baiduspider, DuckDuckbot etc.), AI bots (ChatGPT, SearchGPT, OpenAI, PerplexityBot, YouCrawler and so on), social media bots and even specialised bots (AhrefsBot and Semrushbot for example).
As the landscape of search continues to evolve, it is more important than ever to ensure that your website content is accessible to search engines and AI bots, rather than focusing all of your efforts on Google. By regularly checking your log files (or using a log file analyser) as detailed above, you can easily determine which bots are crawling your website and which content they are accessing. This is your crucial first step in optimising for the wider search landscape, and is key to understanding any restrictions you might have in place on your content, as well as potential opportunities. It can even help gain insights into the type of content more often reviewed by bots, so that you can adapt and optimise your content strategy accordingly.
For more information on how to ensure your content is optimised for AI and search engines alike, take a look at our recent post on Answer Engine Optimisation (AEO). You can also check back regularly for the latest search innovation news – or get in touch with us if you would like to be added to our innovation newsletter recipient list. We would love to hear from you, and potentially discuss how Varn could help your website reach a wider audience.
It’s fun times in SEO – we are seeing fast and impactful change and we are all learning that it’s no longer about simply ranking in a traditional sense for a certain keyword – it’s about being the answer.
Search is shifting from providing a long list of links where you hope to be near the top of the list, to delivering much more precise, personalised and immediate helpful answers. These might be in the form of rich snippets, AI-powered responses or the reply of your trusted voice assistant. As we see these changes impact how people behave when they want to search and find out the answer to a question, businesses are going to need to rethink their approach to discoverability and visibility.
Put simply, AEO is the process of tailoring your content and website to be the preferred answer for search engines like Google and Bing, as well as for AI-driven tools such as SearchGPT and Perplexity. AEO is about really understanding how people will be searching for the information they need. Today, people could be searching by typing a question, using voice search or interacting with an AI assistant, and to be ‘the right answer’, you will need to ensure your content is structured, clear and relevant enough to be selected.
Unlike traditional SEO, which focuses on ranking your website in a list of links, AEO targets the “zero-click” search results, this means elements like the featured snippets, rich results, or direct answers that will appear at the very top of the search page. These are typically the answers that people will see before they even think about clicking through to a linked website.
I like to think of AEO as a new and more modern branch of SEO – we now need to be about optimising not just for rankings, but for helpfulness and relevance. If you want to be visible and your content to stand out in the crowd, you will need to be ‘the answer’ people (and the search engines) are looking for.
I’ve had a think about some insights that may be helpful, based on what we know about AEO and how AI powered search is impacting our clients.
AEO is coming and there’s really no escape; so here are 5 things to think about with a top tip from me to help you optimise for AEO:
The search experience is changing and quickly. Google, Bing and other engines are increasingly aiming to provide instant answers directly within the search results. The rise of AI-driven tools like SearchGPT, plus a shift of search behaviour towards voice search via devices like Alexa and Siri, is also fuelling this trend.
AEO focuses on creating content that not only ranks but also satisfies the “zero-click” phenomenon, where people will be able to find out the answer to their question, without clicking through to a website. Now, while this may sound like a loss for website traffic, the reward can be significant as you will gain heightened brand visibility, authority and user trust.
My Top Tip
Focus on answer-first content. My question to you is, do you know your audience’s most common questions?
You can use helpful tools like Google’s People Also Ask or Answer the Public to reveal questions your audience is asking. For example, imagine you are a scented candle business – this popped in my mind as I have been searching for Christmas inspiration for my wife – and I’m sure she doesn’t read my blogs. Just type into Google ‘best scented candles’ and you can take a look at other popular questions, in this case you’ll see questions like, ‘What candle gives off the most scent?’ and ‘What candle scent is most popular?’ Compile your questions and prioritise creating content that provides clear, actionable answers.
For your content to be recognised as the best answer, search engines need to understand it. Structured data, or schema markup will act as a translator between your website and the search engine. In a nutshell it provides context to the search engine about your content. Using schema for FAQs (Frequently Asked Questions), how-to guides, product details and reviews can dramatically improve your chances of appearing in featured snippets or knowledge panels.
My Top Tip
Implement FAQ schema on your website and identify common questions your customers ask for this section. You can use free tools like Google’s Structured Data Markup Helper to generate the schema code and add it to your page. This step can significantly boost your chances of appearing in featured snippets and driving visibility. Our team can help you with schema mark up if you need support.
Search isn’t just solely about keywords, it’s about context too. This means that understanding the ‘why’ behind a query is crucial. For example, someone searching “best candles” might be looking for reviews, purchase options or even tips to make their own. AEO involves anticipating these potential nuances and aligning your content with the intent behind the search.
Search engines can distinguish between informational, navigational and transactional queries and AEO success relies on creating content that aligns with these categories while offering real value to the searcher.
My Top Tip
Analyse your website’s search data and customer feedback to identify common queries and their intent. For instance, if you do sell candles, segment queries like “how to make candles” (informational), “best candles for gifts” (navigational) and “buy scented candles online” (transactional). Then you can create tailored content for each intent. These could take the form of a helpful blog about making candles, a product guide focused on gifting and your e-commerce pages. This will make sure you can meet the needs of your audience at every stage of their search journey.
Google’s EEAT (Expertise, Experience, Authoritativeness, Trustworthiness) guidelines are fundamental to AEO. This is because answer boxes and AI-driven responses rely on authoritative sources to provide accurate answers. Put simply this means that in order for your specific content to be featured, you must demonstrate expertise that is backed up by trusted and verified data or sources.
My Top Tip
You can enhance your authority by including expert insights and citing trusted sources in your content. If we go back to the candle example, if you’re writing a blog about the benefits of different candle scents, reference studies on aromatherapy or mention certifications from recognised industry bodies. Additionally, highlight the expertise of your team, such as candle-making professionals or experienced scent designers, to build trust with both users and search engines. This positions your brand as an authoritative source in the candle industry, increasing your chances of appearing in answer boxes.
Voice search has changed how we interact with search engines. Queries are becoming longer and much more conversational and optimising for voice search means creating content that mirrors how we speak, rather than how we type. Your content needs to focus on natural phrasing and question-based formats that will align with spoken language.
My Top Tip
Optimise your content by using natural, conversational language that mirrors how people speak. Let’s stick with our candles shall we?
So instead of just targeting the keyword “best candles,” this candle maker will need to create content that answers questions like, “What are the best candles for a romantic dinner?” or “How do I choose the perfect candle smell for my kitchen area?” You need to match the way people ask questions using voice search to help your content appear in voice search results.
Monitoring what works, what’s having an impact on your performance and refining your strategy is essential to staying ahead.Use data to refine your strategy, adjusting your content to better match user intent and improve visibility in search results.Our team are regularly helping our clients to track and evaluate their performance with actionable recommendations to optimise content.
My Top Tip
Use tools like Google Search Console to monitor and track how your pages are performing in answer boxes and rich snippets. Look at metrics like click-through rates and user engagement to understand what’s working. For example, if a certain candle-related FAQ is driving high engagement, consider expanding on it or creating more content in a similar style.
As search changes and AI-driven tools like SearchGPT reshape how we find answers, the importance of Answer Engine Optimisation (AEO) is growing. The ‘good old days’ of simply ranking for keywords are behind us and personally I see this as a really good thing – fun times are ahead for search.
For me, its all about understanding your audience’s needs and providing them with immediate, helpful answers that stand out. That’s good marketing.
If you’re unsure where to start or need some help along the way, we can support you in optimising for AEO and ensuring your content is the answer. Get in touch with our expert team here.
Article by:Tom, CEO of VarnMore articles by Tom
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