The AI Optimisation Checklist: How to Stay Visible (and Relevant) in AI Search

Your customers are adopting AI to balance traditional search, not to replace it, according to Search Engine Land.

This means that AI is mainly changing how people search, but not why. Your customers still want answers, products, and services they can trust — they’re just finding them in new ways.

Instead of typing keywords into Google, they’re asking ChatGPT, Perplexity, or Gemini for recommendations. They’re using AI Overviews to summarise everything at once, and if your business isn’t being mentioned, you’re effectively invisible.

I see this shift first-hand working with our clients. Many assume competing with big brands in AI search is out of reach, but it’s not. The truth is, small, consistent changes such as improving structure, adding Schema, refining copy, and updating content regularly can make your business just as visible and trusted as the major players.

In this guide, I’ll walk through the practical AI optimisation tips your business can use right now to:

Get discovered in AI-powered search results
Build trust and authority online
Track early AI-driven traffic in GA4

Why AI Optimisation Matters for SMEs

If you run a small or growing business, you’ve probably noticed how search results are changing. Google’s AI Overviews are now answering customer questions directly, and tools like Perplexity, ChatGPT, and Gemini are being used like digital research assistants.

That means your potential customers might never even see the traditional “page one” of Google. Instead, they’ll see summaries, citations, and brand mentions — the sources that AI considers most trustworthy.

In fact, according to Semrush,

Google AI Overviews reach 2 billion monthly users
Website traffic from AI search may surpass traffic from traditional search by 2028

So, the question isn’t “How do I rank higher?” anymore.
It’s “How do I become the source AI trusts enough to quote?”

And that’s the new game for SMEs.

Unlike big brands with deep pockets, your business can’t always outspend or outbid. But you can absolutely outsmart and outvalue by creating content and experiences that AI tools (and your customers) genuinely find useful.

The SME’s AI Optimisation Checklist

You don’t need a huge marketing team or enterprise tools to optimise for AI discovery, just a smart, strategic approach. Here’s exactly where I’d start (and what I do with our clients too).

1. Start with visibility: check what’s already working

Before you touch a single headline, open GA4. I always start with data because you can’t optimise what you can’t see.

Go to Reports → Acquisition → Traffic acquisition, then add Source / Medium as a secondary dimension. You might already be getting small amounts of traffic from tools like Perplexity.ai, ChatGPT, or Gemini.google.com.

This shows how users are reaching your site from large language models (LLMs) and whether they’re completing any key events, such as form submissions or quote requests.

Then head to Engagement → Pages and screens to identify which pages are getting visits from these tools. That gives you a baseline for your best-performing, AI-friendly content.

2. Write for answers, not algorithms

AI tools prioritise content that answers questions directly. I often see small businesses writing long, keyword-heavy blogs that never actually answer what the user searched for.

Make it easy for AI (and readers) to find what they came for, and to do that try Reverse-Answer Analysis.

Inspired by Search Engine Journal’s guide to Google AI Mode, this method flips traditional SEO on its head.

Here’s how to do it:

Open ChatGPT, Perplexity, or Gemini.
Ask a question your audience would — for example:

“Best vegan hamper suppliers in the UK”
“Top B2B packaging companies with sustainable options”

Review the sources cited in the answers. Look for what those sites did right: content covered, clearer structure, credible links, specific data, or user-friendly copy.
Use the below prompt to identify the questions that your page answers directly and completely.

Analyse the page and extract a list of questions that are core to the document’s central topic and are directly and completely answered by full sentences in the text. Only include questions if the document contains a full sentence or contiguous sentences that clearly answers it. Do not include any questions that are answered only partially, implicitly, or by inference. Crucially, exclude any questions about supporting anecdotes, personal asides, or general background information that is not the main subject of the document. For each question, ensure that it is a clear and concise restatement of the exact information present. This is a reverse question generation task: only use the content already present in the document. For each question, also include the exact sentences from the document that answer it. Only generate questions that have a complete, direct answer in the form of a full sentence or sentences in the document.

For my vegan christmas hamper example, here is what i found for the Cutter’s and Squidge hamper page:

How is the Luxe Vegan Christmas Hamper described?

“Brimming with plant-based joy, this festive Luxe Vegan Christmas Hamper is thoughtfully curated to bring comfort, flavour, and cheer to every bite.”

When is delivery available for this product?

“Delivery available between 3rd November to 31st December | Check delivery to your area.”

What packaging does the gift come in?

“This delightful gift comes wrapped in our hand-illustrated Christmas gifting sleeve by Abbie Rosie (@abbierosie_).”

Can the products be guaranteed allergen-free?

“Due to being produced in a kitchen that handles the above named allergens, we cannot guarantee allergen free products.”

What allergens does this product contain?

“Contains CEREALS CONTAINING GLUTEN, NUTS, OATS AND SOYA.”

What other allergens may it contain traces of?

“May contain traces of other Nuts, Egg, Milk, Peanut, Celery, Mustard, Sesame Seeds and Sulphites.”

Are there any safety warnings related to nuts or shell fragments?

“Small children may choke on nuts. May contain the occasional fragment of shell.”

Can I add a gift message?

“Add a free gift message in the cart.”

Now compare what you already have with what you have found following points 1-3 and ask yourself: How can my content add value or fill the gaps?

We actually use this technique with our own clients when building content strategies and performing content audits. It helps us see what’s already on the site, what’s holding performance back, and where the biggest opportunities for improvement lie.

It’s honestly one of the most revealing exercises you can do for your website.

A solid content audit gives you complete visibility over what’s working and what’s not. It shows:

What’s already performing well and earning visibility (so you can double down on it).
Which pages are outdated, overlapping, or not serving any purpose.
Where you’re missing opportunities — the unanswered questions your competitors (and AI tools) are picking up instead.

Once we’ve mapped this out, we can make small, smart changes, updating copy, improving structure, or merging weaker posts. It’s not about rewriting everything. It’s about refining what’s already there and building on what’s working.

3. Strengthen your EEAT signals

Think of EEAT (Experience, Expertise, Authoritativeness, Trust) as your business’s digital reputation.

Add author bios, show client results, and link to press features or reviews.

Example: Candy Kittens make plant-based sweets which are fun and delicious (my personal favourite). This comes across on their About Us page which features the founder and the story behind the brand.

Small details build trust with people and AI crawlers.

4. Structure your content clearly

This might sound basic, but your content’s structure is one of the biggest factors in how AI tools understand and decide to use your content.

I see this mistake all the time: long walls of text, missing subheadings, and unformatted sections that leave both readers and AI scratching their heads.

According to Search Engine Journal’s analysis of how LLMs interpret structure, large language models like those used in ChatGPT and Google’s Gemini don’t just crawl your content, they interpret it. They look for clear patterns, structure, and hierarchy to decide which parts of your content are the “answers.”

So, while traditional SEO focused on keywords in headings, AI optimisation focuses on clarity and logical flow.

In other words:

If a human can easily skim your page and understand what it’s about, an AI probably can too.

Now go back to my point #2 on writing for answers. I searched for ‘vegan substitutes for eggs’. The results showed different sections including egg substitutes for binding in baking or for moisture and richness. If you’re a provider of egg substitutes, this immediately gives you an idea of what your potential customers are searching for – and yes use those in your headings and subheadings when creating content.

5. Add Schema and FAQs

Think of Schema as the translator between your website and AI tools. It turns your content into data points that machines can actually read and trust.

According to Search Engine Journal’s report on structured data and AI visibility, structured data provides the context that large language models use to “connect the dots” between information. It tells AI who created the content, what it’s about, where it’s from, and why it’s credible.

LLMs (large language models) don’t just look for keywords, they interpret meaning. Schema gives them the framework to do that accurately.

Here’s what Schema tells AI about your business:

“This is a trusted source.”
“Here’s exactly what they sell or explain.”
“This piece of content was written by someone with expertise.”
“Here’s where it fits into a larger topic.”

Example:

If you sell sustainable B2B packaging, adding Product Schema to your range pages helps AI understand you’re a supplier, not a blog. Adding Review Schema to testimonials tells it those are customer opinions — not your own marketing copy.

Both increase your likelihood of being referenced as a trusted source when AI is summarising “eco-friendly packaging suppliers.”

Here is an example of a search where Eco Craft shows organically with the listing showing the reviews – thanks to the Review Schema.

I also used the same search term in AI Mode and Eco Craft is shown as well.

6. Make your brand quotable

If traditional SEO is about ranking, AI SEO is about being cited.

You can’t “rank” in an AI overview, but you can be quoted, referenced, or mentioned when a chatbot or summary tool compiles its answers.

A recent Search Engine Land study analysed over 8,000 AI citations from tools like ChatGPT, Perplexity, and Bing Copilot. The results were clear: AI models prefer sources that are clear, credible, and concise. They don’t pick the site with the longest article or the highest domain authority but they pick the one that communicates best.

What makes content “quotable” to AI?

According to the study, the most commonly cited pages shared these traits:

Direct, standalone insights with short sentences that clearly answer a question without needing extra context.
Credible evidence – data points, research findings, or unique expertise that adds authority. Think EEAT.
Contextual clarity – content written in plain language that avoids ambiguity.
Relevance and freshness – up-to-date content tied to user intent, not just broad topics.

So, if you want AI to quote you, don’t bury your best insight halfway down the page. Put it front and centre – clearly, confidently, and with evidence.

How to make your content more quotable

Lead with key insights. Start each section with a bold, data-backed or experience-led statement that summarises your point.

“Over 60% of small B2B suppliers now rely on AI tools for lead generation — and that number is rising every quarter.”

Add proof and context. Back up claims with stats, mini case studies, or examples. AI tools love citing specific, factual lines.

“Our B2B packaging client reduced waste by 30% after switching to fully compostable materials.”

Use clean formatting – bullets, subheadings, and quotes make content easier for AI crawlers to extract — they read structure as a cue for relevance.
Be original. AI prefers unique perspectives. If you’re just rewording what’s already out there, you’ll blend into the noise. Include first-hand data, experiences, or customer insights.

7. Refresh regularly

In the AI search era, freshness matters. According to Hubspot, AI models and search engines increasingly favour up-to-date facts and frequently refreshed content.

How to put that into practice:

Set a content review schedule (i.e every 3-4 months) for key pages: case studies, service descriptions, product pages.
Add current statistics, remove outdated references (“as of 2022”), update service offerings and accreditation info.
For evergreen content like “How to choose packaging materials” or “Why vegan gifts are trending” — add a “Last updated: [date]” line and maybe a small paragraph on what’s changed (e.g., new sustainability regulation).
Monitor whether pages you previously optimised for AI are still being referenced (via your GA4 traffic or AI queries) and prioritise refreshing those.

We work with a client in the financial sector. With the above in mind we introduced a ‘Last Updated’ feature to the service pages which gives their clients the reassurance that their content and services reflect the latest changes in legislation. It’s a win.

8. Check your reputation (the AI way)

Your online reputation has always mattered, but now, it’s not just people checking you out. AI is, too.

When tools like ChatGPT, Perplexity, or Gemini decide which sources to include in their answers, they don’t just scan your site, they scan the internet’s opinion of you.

As Writesonic’s guide on getting cited by AI explains, large language models evaluate a brand’s credibility, trust signals, and consistency across the web. They look for patterns that tell them, “This source is real, reliable, and worth quoting.”

So, if your business has outdated listings, no recent reviews, or an inactive social footprint, you’re less likely to appear in AI-generated answers, no matter how great your content is.

Tip: Not sure where to start with your reviews? Read our guide on how customer reviews can boost your SEO (and how to build a winning review strategy)

Tip: You can check this out for yourself. Just use one of the LLM’s and ask a question about your brand – whether there are external mentions and what’s your review score.

How AI evaluates your brand

AI systems can’t “trust” you in a human sense but they use measurable digital clues to decide whether to feature you. Here’s what they look for (and what you can control):

Signal Type	Why It Matters	What To Do
Consistency	Conflicting business info (like mismatched names or URLs) confuses AI.	Keep your business name, domain, and contact info identical across your website, Google Business Profile, LinkedIn, and directories.
Recency	AI models prefer active, up-to-date sources.	Post updates regularly — even a new testimonial or blog every month helps.
External mentions	AI looks for cross-validation: are others talking about you?	Get listed in B2B directories, sponsor local events, contribute expert quotes to industry blogs.
Reviews	Customer feedback confirms legitimacy and trust.	Encourage reviews that mention your specific products, services, or results.
Expert visibility	Author signals matter for EEAT.	Make sure team members are visible on LinkedIn, have bios on your site, and occasionally publish or comment on industry insights.

We’ve had those clients where their company names were different across the platforms they used including the likes of Meta and Linkedin. It’s all connected and it does matter.

9. Optimise for people first, AI second

Here’s the irony: the more you write for people, the better your content performs with AI.

Google’s Search Quality Rater Guidelines (the foundation for EEAT) and studies from Search Engine Land and Semrush all point to the same thing.

Content that’s human-centred, experience-led, and genuinely helpful is the kind AI trusts most.

Why? Because AI is trained on human language patterns. It recognises clarity, empathy, and structure, not buzzwords, jargon, or robotic filler.

So when you’re creating content, don’t imagine impressing an algorithm.
Imagine helping a real person find an answer, make a decision, or feel confident choosing you.

Example:
A great real-world example of people-first storytelling comes from Well Boxes’ guide to vegan corporate gifts.

What makes this “people-first” content

They talk about what the reader wants — appreciation, inclusion, sustainability — before ever mentioning a single product.
Conversational, human tone – The post reads like a friendly recommendation, not a product brochure. It uses simple, positive language (“thoughtful,” “feel-good,” “team-approved”) that sounds like real conversation.
Practical storytelling – Rather than vague claims, they pair every product suggestion with a relatable scenario:

“From cosy wellness hampers to fair-trade chocolate boxes, there’s something for every member of your team — even the hard-to-buy-for ones.”

This aligns perfectly with Google’s EEAT — real experience (they know their products), authority (they curate responsibly), and trustworthiness (they highlight transparency).

10. Keep learning from your data

AI optimisation isn’t a one-off project. Keep tracking your traffic in GA4, look for new referrers, and keep testing queries in AI tools.

Every time you check, you’ll spot something new — a missed keyword, a better way to phrase an answer, or even a chance to earn an AI mention you didn’t have before.