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Is your content visible to just Search Engines? What about the Answer Engines? The search engines have changed; users now prefer their queries to be answered directly. AI search engines are the favourite of this generation, and honestly, they do not read or care about your well-written, optimised content. All the user wants is for someone to give them quick solutions. The question here is whether your target audience is seeing you in these searches.
83% of AI Overview searches result in zero clicks. Is your brand still getting found?
Your traffic reports are just fine, but your website is still deranking; the problem is that search is shifted, and you were not able to catch up. You are aware of the problem, but don’t know the channels through which you can measure it. AI-powered search is answering millions of questions every day without sending users anywhere. ChatGPT processes over a billion queries every week; Perplexity generates 20 million answers daily; Google’s AI Overview appears on almost 40% of commercial searches. When these AI systems generate answers, they choose their own sources, regardless of Google’s rankings.
Brands are cited on AI search engines because of their structured and authoritative content; they don’t need to be big or famous. The content of these brands is entity-based and has trust signals for the AI systems. You can close this gap if you take action now.
In 2024, over 59% of all Google searches failed to get a click, and for searches that trigger AI Overviews, the number even goes to 83%. If you are only investing in traditional SEO, you are covering a shrinking pool of traffic.
Google rankings are not equal to AI citation, according to recent studies; only 50% of Google’s top rankings overlap with AI search visibility. These are a totally new set of brands that were not even winning in the traditional search.
You cannot fix the problem you don’t know; most businesses have no idea what ChatGPT or Perplexity says when a user searches their niche. Often, businesses realise the citation gap only when the revenue is just dropping.
At 360 Web Solutions, we deliver a well-structured three-layer programme, based on the mechanics of how AI systems discover, evaluate and cite brands. Each layer has a clear purpose and output.
As an answer engine optimisation agency, we help make your content the direct answer in AI overviews, feature snippets, PAA and voice assistants. Most websites’ content is not structured to be extracted by AIBots. We audit your existing content, identify the high-value questions in your space, and restructure pages so AI systems can pull clean answers directly from your site.
AEO Includes
Outcome Your content can be easily extracted by AI; it can now pull a clean, direct answer from your pages and attribute it to you.
Generative engines like ChatGPT or Perplexity use sources they trust to answer user queries. Trust is built with topical depth, accuracy and authoritative third-party citations. We build the content and authority infrastructure that gets your brand into that trust pool. Our generative engine optimisation service helps businesses earn citations from ChatGPT, Perplexity and Gemini.
GEO Includes
Outcome Your brand becomes a source for generative engine queries about your niche; it is cited in responses and recommended in summaries.
Even before a query, LLMs are aware of your brand by the data they were trained on: your website, press coverage, third-party reviews, Wikipedia entries, social profiles, etc. LLMO is the practice of auditing the LLM’s view of your brand and improving it.
LLMO Includes
Outcome LLMs develop an accurate, authoritative, and consistent model of your brand that reinforces trust.
Our LLM optimisation programme combines answer engine optimisation services, generative engine optimisation services, and entity optimisation to improve AI visibility for brands that want a collective all-in-one package. You get a dedicated team, monthly reporting in plain language, and a roadmap that evolves as the AI search landscape does.
Get a Custom ProposalThe AI search terminology is quite confusing, and no single guide helps in explaining it entirely. All the acronyms surrounding AI search, AEO, GEO or LLMO, etc., seem quite the same due to being quite new. Here is the breakdown you need:
When a user asks a query, and Google, an answer box appears right before the search results, and the voice assistant reads the answer aloud; that is AEO at work. The AEO visibility depends on structure and clarity, so the AI systems can extract trustworthy answers without ambiguity. If your content is well-written but not optimised for AIBot, it will lose to competing websites that do LLM optimisations.
Generative engines like ChatGPT or Perplexity favour depth and authority; they synthesise the answers from the sources they trust, not depending on rankings. GEO requires topical depth, accuracy, authority (citations, links, third-party mentions), and content that signals expertise.
LLMs build an internal model of your brand, based on the data they are trained on; LLM optimisation is the practice of shaping that model. LLMO works through relevance, consistency and consent of your brand across the web.
All of them work together in a single program to compound your business across AI-powered platforms that your customers use. AEO gives you the right format, GEO gives you authority signals, and LLMO gives you the entity foundation that makes everything stick together.
Get a free audit and we’ll map the right mix for your brand.
AI search visibility works the same way as traditional SEO; the only difference is the time-bound nature. Brands that started building entity authority and citation signals earlier (12 to 18 months ago) are the go-to sources of AI systems. In turn, the citations they get reinforce their brand authority; each month you delay LLM optimisation, the gap gets harder to close. It is not just a prediction now; it is already happening.
The brand authority is the strongest signal of AI citation rates; LLMs prefer recognition, consistency and cross-platform mentions. Building those signals takes time, but the businesses that treat LLM optimisation with urgency and start investing right now will have a compounding advantage over the late movers. Good news here is that most of the competition is not taking action, and the SERP on these services is still thin on expertise and proof. There is an open window, but it will not stay open for long.
There is an open window — but it will not stay open for long.
Here is the LLM optimisation sequence you need: it tells you what to do first, what depends on what, and how long it actually takes.
Step 01 · Phase 1 · Days 1–30Before we change anything, we establish exactly where you stand.
We’ll audit your current AI visibility, show you exactly how ChatGPT, Perplexity, and Gemini are describing your brand today, and give you a prioritised action plan. No generic report, but an actual review of your specific situation.
Takes 30 minutes. You’ll leave with clarity on where you stand and what to fix first.
Our LLM optimisation reporting framework is structured around the outputs that matter the most:
We report on all of these monthly; you will receive a dashboard and a written summary in plain language. If the numbers aren’t moving, we tell you why and what we’re changing.
Before recommending any service, we first analyse your business and its marketing gaps. This helps identify what is slowing growth and where improvements can create the biggest impact.
Businesses looking for an answer engine optimisation company need more than schema implementation; they need a complete AI visibility strategy.
Every business has different goals, so campaigns are planned according to actual business requirements instead of fixed templates.
Our approach combines SEO, LLMO, paid advertising, content, and automation into a connected system so that campaigns work together instead of separately.
Our strategies are tailored to the UK market behaviour. We analyse the competition, market and audience to meet your business expectations. We build marketing systems designed to improve visibility, lead quality, and conversion performance over time.
One Connected AI Visibility System
SEO · LLMO · paid · content · automation · 100% UK in-house delivery
AI search optimisation is not one-size-fits-all. Here is what it looks like in practice:
You need a prioritised plan, the right content structure, and a measurement framework you can actually use. We offer an audit and roadmap package for businesses that want to understand their AI visibility gap and tackle it with their existing team. You’ll leave with a clear LLMO action list.
We also provide answer engine optimisation consulting for internal marketing teams that need strategic guidance and implementation support. If you’re already doing SEO and content, you’re closer than you think. We layer AEO and GEO on top of what you have, identify the gaps that matter most, and give your team a framework.
You can work with us if you are an agency that offers AI search optimisation to its clients without building the capability in-house. We operate quietly under your brand, your client relationship, your reporting format, and our delivery. Ask about our partner programme.
Book a 30-minute discovery call, and we’ll tell you honestly how we can help.
LLM optimisation is the process of shaping trustworthy AI views about your brand. It works through structured data, entity signals, and authoritative third-party citations that collectively build a consistent, credible picture of your business across every source these models draw from. LLMO focuses on how your brand is represented inside the model itself, before any user query is made.
AEO, GEO & LLMO are the different layers of the same problem. AEO is based on content formatting and schema discipline, with a primary focus on answer boxes, feature snippets and voice search results. GEO focuses on being cited by generative AI platforms like ChatGPT and Perplexity; it requires topical depth, factual authority, and third-party citation signals. LLMO operates at the entity level, shaping how language models understand and represent your brand, independent of search queries. Most businesses need all AEO, GEO, and LLMO working in sequence.
AI SEO is the umbrella term; it covers AEO, GEO, LLMO, and the use of AI tools to improve traditional SEO. When agencies say “AI SEO,” they could mean any combination of these. We’re specific about what we deliver: all three layers in a structured programme with defined outputs and measurement at each stage.
The starting point can be to open ChatGPT, Perplexity or Gemini and ask directly, “What can you tell me about [brand name]?” and “What are the best options for [your category or service]?” The result will be both revealing and alarming.
Yes, basic work like schema markup, FAQ structure, llms.txt and content format improvements can be done by an in-house team. But entity foundation work, citation acquisition with digital PR and monitoring AI mentions require specialist tools and consistent efforts.
AEO results, like feature snippet or PAA, can be seen within 4 to 8 weeks; GEO & LLMO take more time. Most clients see improvements in AI citation within 90 days, but the main focus should be on infrastructure investment that has a compounding effect.
No, strong traditional SEO, quality backlinks and topical authority are the foundation components; they also act as the signals that AI systems rely on when deciding what to cite.
Measuring LLMO success means tracking AI Share of Voice (how often your brand appears in AI responses vs. competitors), citation rate across ChatGPT, Perplexity and Gemini, featured snippet and PAA ownership, brand mention sentiment, and how accurately and favourably AI describes you. We cover all of this in our monthly reporting, in plain language.