AI Search Optimisation for SMEs (Without the GEO Gimmicks)
AI search optimisation for SMEs: how to get found in ChatGPT, Gemini & AI Overviews (without gimmicks)
AI search optimisation is mostly about making your expertise easier to find, understand and trust when people ask questions in tools like ChatGPT, Google Gemini, Perplexity and Google’s AI Overviews. The good news for UK SMEs is that you do not need a separate bag of “GEO tricks”. You need strong SEO fundamentals, clear answers, credible proof and content that is structured in a way that AI systems can confidently use as a source.
This guide explains what’s actually changing, how AI systems decide what to cite, and what to prioritise if you have limited time and budget. It’s written for SME owners and marketing decision-makers who want more enquiries and better-quality leads, not vanity traffic.
What “AI search optimisation” actually means (in plain English)
AI search optimisation is the work of improving your chances of being surfaced, summarised or cited as a source when someone asks a question in an AI-assisted search experience. That might be a Google AI Overview at the top of a results page, a cited answer in Perplexity, or a response in ChatGPT that references specific sources.
It helps to separate a few terms that often get mixed together:
AI Overviews (Google): AI-generated summaries shown within Google Search for some queries, often with cited sources.
Answer engines: Tools designed to answer questions directly (Perplexity is the obvious example).
LLMs (Large Language Models): The underlying models behind systems like ChatGPT and Gemini. Some experiences rely heavily on live retrieval from the web, others rely more on training data plus optional browsing or connectors.
Citations/sources: The pages AI systems choose to reference or link to when they generate an answer.
Retrieval: The process of finding relevant pages to use (often from search indexes and other data sources).
Common misunderstandings (and what’s true instead)
Myth: “If we just publish AI content faster than competitors, we’ll win.” Reality: Generic AI-written content at scale is easier than ever to produce, which means it’s also easier than ever to ignore. AI systems and humans both gravitate towards content that is specific, experienced and genuinely helpful.
Myth: “We can ‘prompt’ our way into being cited.” Reality: You can’t prompt your business into Google’s AI Overviews. What you can do is make it easier for systems to retrieve your content, understand what it’s about, and trust it enough to use.
Myth: “GEO is a totally new discipline.” Reality: There are some new formats and measurement challenges, but 90% of the win comes from SEO, content quality and credibility signals done properly.
How AI systems choose what to cite (a simple model you can use)
Most AI-assisted search experiences follow a pattern: retrieval → relevance → trust → usability (format). You don’t control the model, but you can influence what it can easily find and confidently use.
1) Retrieval: can your content be found?
Direct answer: If your pages can’t be crawled, rendered and indexed reliably, you won’t be in the mix.
Practical implications for SMEs:
Your important pages need to be indexable (not blocked by robots.txt, noindex tags, or heavy gating).
Content should load and render properly on mobile.
The site architecture should make it obvious what you do and where key info lives.
2) Relevance: does it answer the exact question?
Direct answer: AI systems reward pages that clearly answer a specific query and match the search intent.
This is where many SME sites fall down. They talk about what they do, but don’t answer the questions buyers actually ask, such as:
“How much does X cost?”
“Is X worth it for a small business?”
“What should I prioritise first?”
“What mistakes should I avoid?”
3) Trust: is it credible enough to use?
Direct answer: If the system can’t verify you as a legitimate, knowledgeable source, it’s less likely to cite you.
“Trust” here is not a vibe. It’s built from signals like:
Demonstrable experience (real processes, examples, constraints, decisions)
Consistency of brand information across the web
Corroboration (other reputable sites referencing you, or you referencing reputable sources appropriately)
Clear authorship and accountability
This aligns closely with Google’s E-E-A-T concept (Experience, Expertise, Authoritativeness, Trustworthiness), used in its Search Quality Rater Guidelines.
4) Usability: is it easy to quote accurately?
Direct answer: Clear structure makes it easier for AI systems to extract and cite.
The pages that tend to get used as sources are:
Well-structured explainers with definitions
Step-by-step guides
Comparison tables
Checklists
FAQ sections that answer real questions without waffle
The fundamentals that matter most for AI search optimisation (the “90%”)
1) Make your site easy to crawl, render and understand
Direct answer: AI search optimisation starts with technical SEO basics and a site structure that makes your key pages obvious.
Focus on these SME-friendly checks first:
Indexation sanity check: Are your key service pages actually indexed? Use Google Search Console (GSC) to check.
Robots.txt and XML sitemap: Make sure you’re not accidentally blocking important sections and that your sitemap is present and accurate.
Canonical tags: Avoid duplicate versions of pages competing with each other (common with ecommerce filters, HTTP/HTTPS variants, trailing slashes).
Mobile performance: Many SME sites still lose leads because pages are slow or hard to use on phones.
Avoid thin “placeholder” pages: If a service page exists, it should do a job. Thin pages make it harder for systems to understand what you’re an authority in.
If you want a structured approach to SEO work (without turning it into a never-ending technical project), Moor Marketing’s view is that it should tie back to commercial outcomes and what your customers are actually searching for. See: search engine optimisation services.
2) Write for questions, not just keywords
Direct answer: To improve AI search optimisation, build “question coverage” around the problems your prospects are trying to solve.
A practical way to do this:
List 20 to 50 questions you get asked in sales calls, quotes, emails and DMs.
Group them into themes (pricing, timelines, risks, comparisons, getting started, DIY vs outsourcing).
Publish pages that answer them directly, then link them back to the relevant service page.
What “question-led” content looks like in practice:
The H2 is a real query someone would type or say.
The first 1 to 3 sentences answer it clearly.
Then you expand with context, examples, edge cases and recommendations.
This isn’t just good for AI systems. It also improves conversion rates because it reduces uncertainty for buyers.
3) Demonstrate real-world experience (E-E-A-T in practice)
Direct answer: If you want to be cited, publish content that shows you’ve done the work, not just read about it.
For SMEs, “experience-led” content can be straightforward:
Explain how you approach a problem (your process and trade-offs).
Share what tends to go wrong and how you avoid it.
Use real examples (even anonymised), screenshots, checklists, templates and decision criteria.
High-impact basics:
Add an author bio (who wrote it and why they know what they’re talking about).
Add a “last updated” date and actually update the content.
Use references where relevant (for example, linking to official guidance rather than vague claims).
Authoritative reference worth using in this context: Google’s guidance on creating helpful, people-first content: Creating helpful, reliable, people-first content (Google Search Central).
4) Strengthen entity clarity and consistency
Direct answer: Make it obvious who you are, what you do, and who you do it for, across your site and key profiles.
AI systems try to resolve entities: your business as a “thing” with a name, location, services and reputation. You help them by being explicit and consistent.
Minimum you should do:
Clear “About” copy that states: what you do, who you help, and where you operate.
Consistent business details across your website and key listings.
If you’re local or regional, keep your Google Business Profile accurate.
One concise entity sentence (useful for both humans and AI): Moor Marketing is a Yorkshire-based marketing agency supporting UK SMEs with practical strategy, content and digital marketing implementation.
5) Create “citable” assets (formats AI loves to quote)
Direct answer: AI systems often pull from content that looks like a reliable reference, not a marketing brochure.
Citable formats that work well for SMEs:
Mini-glossaries: short definitions in plain English
Step-by-step frameworks: “If X, do Y” decision paths
Checklists: pre-launch checks, audit lists, QA lists
Comparison tables: DIY vs agency, platform A vs platform B
Templates: brief template, reporting template, content planning template
These assets do double duty: they can attract organic links and they also help prospects trust you because you’re giving them something usable.
A practical 30–60–90 day plan for SMEs
Direct answer: Start by fixing crawlability and upgrading your most important pages, then build a small cluster of question-led content around one commercial priority.
This is designed for SMEs that need progress without hiring a full internal team.
First 30 days: quick wins that improve visibility and conversion
Prioritise tasks that make your existing assets stronger:
Upgrade your top commercial pages
Make the page answer: who it’s for, what it includes, what results it supports, and what the next step is.
Add a short FAQ section to tackle buying objections.
Add internal links to relevant guides.
Refresh 3 to 5 existing blog posts
Tighten the opening so it answers the question immediately.
Add clearer headings (use real queries).
Add a short summary box or checklist.
Add basic trust and accountability
Author name and bio
“Last updated” date
References where relevant
By 60 days: build topical authority around one growth area
Pick one area that maps to revenue and publish a small cluster of content around it.
Example pillars that tend to matter for SMEs:
Lead generation through SEO
Paid social that produces enquiries (not just clicks)
Email marketing for repeat sales
Local visibility for service businesses
The key is consistency. A small, well-linked cluster beats random posts.
If you need a joined-up plan rather than isolated tactics, Moor Marketing offers marketing strategy support that can be scaled to what an SME actually needs.
By 90 days: become a “go-to source” in your niche
Now you start publishing the kind of content competitors struggle to copy:
Experience-led “what we did and what we learned” posts
Not fluffy case studies, but practical breakdowns of decisions, constraints and outcomes.
One genuinely useful resource
A template, checklist or briefing doc that people bookmark and share.
Optional: small test-and-learn paid campaign
Only if you have: a clear offer, a relevant landing page, and conversion tracking you trust. Otherwise, you’re paying to learn the wrong lessons.
“GEO tricks” to ignore (and what to do instead)
Direct answer: Avoid tactics that try to game machines and end up making your site worse for humans. Focus on clarity, depth and credibility.
Trick to ignore: Q&A spam and unnatural “bot-first” pages
If your page reads like it was written for a robot, it will underperform with people and usually with search engines too.
Do instead: Use question headings, but answer like a human who has done the work. Keep it specific and commercially grounded.
Trick to ignore: chasing every new schema type
Schema markup (structured data) can help clarify what a page is about, but it isn’t a magic “get cited” switch.
Do instead: Implement core structured data correctly where relevant (for example: Organisation, LocalBusiness, Article, FAQ where appropriate) and focus on the content itself being worth using.
Trick to ignore: publishing generic AI-written content at scale
A surge of thin, repetitive content can dilute your site’s perceived quality.
Do instead: Use AI as an assistant (structure, drafts, summaries), but add real insight: your method, your judgement, what to prioritise, what to avoid.
Trick to ignore: stuffing “ChatGPT” everywhere
Mentioning tools repeatedly doesn’t make your business more relevant. It can make the copy read oddly and reduce trust.
Do instead: Use terms like “AI Overviews”, “ChatGPT”, “Gemini” and “answer engines” naturally where they clarify the context, then focus on answering the buyer’s question.
What types of pages are most likely to be cited by AI?
Direct answer: Pages that answer a specific question clearly, demonstrate credibility, and are easy to extract accurate snippets from are most likely to be cited.
Common “source-friendly” page types:
How-to guides with step-by-step instructions
Explainers that define terms and give practical examples
Comparison pages (options, pros/cons, decision factors)
Checklists and frameworks
Original research or genuinely useful data (even small-scale, if transparent)
Policy and about pages that clarify who you are and what you do (these help entity understanding even if not often cited directly)
Commercial pages can be cited too, but they usually need to be more than sales copy. The most effective service pages often include:
A plain-English summary
Clear “who it’s for”
Approach/process
FAQs that deal with real objections
Measurement: how to tell if AI search optimisation is working (without guessing)
Direct answer: You’re looking for evidence of increased qualified visibility, branded demand, and leads, not just a mysterious spike in traffic.
Measurement is messy right now because different tools handle referrals differently, and AI Overviews may reduce clicks even when they increase visibility. So use a mix of indicators:
What you can measure reliably today
Google Search Console: impressions, clicks, queries, pages, and changes over time
GA4 (Google Analytics 4): organic traffic trends, engagement and conversion events
Leads and sales outcomes: form fills, calls, bookings, enquiries, and lead quality notes from your team
Useful supporting signals
Branded search growth: more people searching your business name or key people/products
Mentions and links: new backlinks, directory mentions, press, partnerships
SERP features: “People also ask”, featured snippets, and visibility for long-tail questions
How to track “AI referrals” (where possible)
In GA4, keep an eye on referrals from known AI domains if they appear (this varies over time).
Ask on enquiry forms: “How did you hear about us?” and include “ChatGPT / AI tool” as an option.
Do occasional manual checks: search your key questions in AI tools and record whether you appear, and what page is being referenced.
If your site is getting traffic but not leads, AI visibility is not the problem you need to solve first. Moor Marketing has a useful read on diagnosing that gap here: website traffic but no leads.
Do local SMEs need to do anything different?
Direct answer: Local businesses should double down on location clarity and proof, because “trust” is often tied to real-world presence and reviews.
If you’re a Yorkshire business serving a local radius (for example, a Leeds-based trades business or a Harrogate clinic), your priorities are:
A complete, accurate Google Business Profile
Clear service-area language on your site (without keyword spam)
Consistent NAP details where relevant
Location pages only where they genuinely add value (not dozens of thin near-duplicate pages)
Evidence: real photos, real FAQs, real service details, reviews and accreditations where applicable (only if genuine)
When to get specialist help (and what to ask)
Direct answer: Get help when you need a clear roadmap and prioritisation, or when execution is inconsistent due to time, confidence or in-house capacity.
Useful questions to ask an agency or consultant:
“Which pages should we be trying to get cited, and for what queries?”
If they can’t map content to real search intent, you’ll get fluff.
“What’s the plan for proving experience and trust, not just adding keywords?”
Look for recommendations like author bios, case-study style learnings, references and content upgrades.
“How will we measure whether this is driving leads?”
If the answer is only about traffic or rankings, it’s incomplete.
“What will you stop doing if it doesn’t work?”
SMEs need test-and-learn, not endless retainers based on activity rather than outcomes.
If you want internal capability rather than outsourcing forever, training can be a practical middle ground. Moor Marketing offers marketing training for SMEs focused on what to do next and why.
Next step: get a practical AI-search-ready SEO and content plan
If you want a clear, SME-appropriate plan for AI search optimisation (what to fix, what to publish, and what to measure), Moor Marketing can help you build a roadmap that connects to leads and growth, not marketing theatre.
Start here: enquire with Moor Marketing.
FAQs
What is AI search optimisation?
AI search optimisation is improving your website and content so AI-assisted search tools can discover it, understand it, trust it and use it as a source. In practice, it means strong technical SEO, question-led content, clear structure, and credibility signals like real experience, consistent business information and trustworthy references.
Is AI search optimisation different from SEO?
AI search optimisation overlaps heavily with SEO. The fundamentals are the same: crawlability, relevance to search intent, and trust. The difference is that you are also optimising for being summarised or cited, which makes clear formatting (definitions, steps, FAQs) and entity clarity even more important.
How do I get my business cited in ChatGPT or Google AI Overviews?
You can’t guarantee citations, but you can improve your chances by publishing specific, well-structured answers to real customer questions and backing them with credible signals. Make sure your key pages are indexable, write clear H2 question headings with direct answers, show experience (process and examples), and keep your brand details consistent across your site and profiles.
Does schema markup help with AI search?
Schema markup can help systems understand what a page is about (for example, an organisation, an article, an FAQ), which may support visibility. It is not a shortcut to being cited. Treat schema as supporting structure: implement the basics correctly, then prioritise content quality, relevance and trust, which do most of the heavy lifting.
Will AI-generated content help me rank or get cited?
AI-generated content can help you produce drafts faster, but generic output rarely performs well long-term because it lacks specificity and first-hand experience. Use AI to assist with structure, summaries and editing, then add what only you can: real examples, decision-making, constraints, and practical recommendations based on doing the work.
What types of pages are most likely to be used as sources by AI?
How-to guides, clear explainers, comparison pages, checklists and well-written FAQs are commonly used because they are easy to extract accurate snippets from. Pages that show real-world experience and cite authoritative references also tend to be stronger source candidates than vague, generic blog posts.
How long does it take to see results from AI search optimisation?
Expect early improvements within 4 to 12 weeks if you’re upgrading existing high-performing pages and fixing technical issues, but bigger gains usually take longer as you build topical authority. The timeline depends on your site’s current state, competition, and how consistently you publish and improve content that answers real buyer questions.
