By Stephen Little, owner of fecking creative – 18+ years in UK search and web design. Originally published August 2025, rewritten and updated May 2026.
I wrote the first version of this post in August 2025 when AI Overviews had just rolled out in the UK and most of my clients still thought ChatGPT was a chatbot for students. Nine months on, the picture’s clearer and harsher. Organic clicks across the small business sites I work with are down 25–40% on 2022 levels. Most of that traffic didn’t go to a competitor. It went into an AI answer where nobody clicked through.
The website-traffic-is-dying part of the original title turned out to be right. So did the AI-is-holding-the-pillow part. What needs updating is the playbook for what to do about it – because the moves that worked in 2024 are now table stakes, and the gap between businesses that get cited by AI and businesses that don’t has widened sharply through 2025 and early 2026.
This is the 2026 rewrite. Same argument as the original: stop chasing clicks, start chasing mentions. Updated specifics: what to write, where to put it, how to measure whether AI is mentioning you, and a UK case study from a Newcastle-based recruitment agency that pulled its brand back into the AI conversation in four months.
TL;DR
- Organic clicks to UK small business sites are down 25–40% on 2022 levels. The bulk of the loss went to zero-click answers in AI Overviews, ChatGPT, Perplexity, and Gemini – not to competitors.
- The job has shifted from chasing clicks to chasing mentions. If your brand is named inside an AI answer, you’ve reached the buyer even without a click.
- AI engines pick which brands to mention using a different signal mix from Google: clear question-and-answer structure, specific facts, named authorship, original data, and mentions across trusted third-party sites.
- Content types AI tools repeatedly cite: chunked question-led pages, “best of” comparison lists, honest hands-on reviews, comparison tables, Q&A formats, opinion pieces with named authorship, well-described images, and free useful tools.
- Distribution is half the battle. AI engines crawl Substack, LinkedIn, Reddit, Quora, YouTube, and niche forums – getting your name into those surfaces builds the citation graph that AI engines use to decide who’s authoritative.
- Measure differently. Track branded search volume, direct traffic, and AI citation share alongside the old click metrics. The new scoreboard has more rows.
- Worked UK example below: a Newcastle-based tech recruitment agency lifted branded search 38% and total enquiries 22% in four months by rewriting twelve blog posts in AI-friendly format and showing up consistently on r/UKJobs and LinkedIn.
- Common mistakes: writing for AI engines instead of humans, neglecting branded search, refusing to participate on Reddit and forums, and not tracking AI citations at all.
What’s actually changing in 2026
Three things changed between August 2025 (when I wrote this post the first time) and now.
One: AI Overviews stopped being a novelty. A growing share of UK informational queries now triggers an AI Overview at the top of Google’s results, citing two to four sources. CTR on the underlying top positions dropped 25–45% on the queries where AI Overviews trigger.
Two: ChatGPT, Perplexity, Gemini, and Copilot etc crossed into mainstream use. UK buyers research suppliers, services, and products through AI tools alongside Google. Perplexity in particular shows its citations transparently – every answer names 3–8 sources by domain, so being one of those sources is now a measurable form of visibility.
Three: Google added native widgets and calculators to more query classes. Mortgage affordability, currency, units, recipes, weather, public data. Once Google launches a widget for a query, the click traffic on that query collapses overnight. You can’t out-rank the widget.
The cumulative effect: less raw traffic from informational searches, more buyers arriving at decisions before they ever click a website, and a new tier of brand visibility (citation inside an AI answer) that didn’t exist three years ago.
From clicks to mentions - the new scoreboard
The single most useful shift in thinking: you’re not chasing clicks any more. You’re chasing mentions.
A mention is your brand name being named inside the answer an AI gives to a user’s question. It’s named in an AI Overview citation. It’s quoted in a Perplexity answer. It’s listed by ChatGPT when a user asks “best independent tech recruiter in Leeds” or “alternatives to Greggs in Manchester”. Most users won’t click through every mention they read. But every mention they read puts your business name in their head – and the mentions compound into branded search demand, direct traffic, and warmer enquiries weeks or months later.
Here’s the side-by-side:
| What | The old scoreboard (Google clicks) | The new scoreboard (AI mentions) |
|---|---|---|
| Goal | Rank #1 and pull in the click | Get named inside the AI answer |
| Win condition | Highest position + most links | Cleanest answer + most named-source citations |
| What you chase | Clicks, position, impressions | Mentions, brand citations, AI answer share |
| Battleground | Google’s results page | Google AI Overviews, ChatGPT, Perplexity, Gemini, Copilot, Reddit, LinkedIn, YouTube |
| Content focus | Keyword-optimised long-form pages | Question-led structure, specific facts, named authorship |
| Success metric | Sessions and traffic reports | Branded search volume, AI citation share, enquiry conversion rate |
| End result | Visitor clicks a link | Visitor reads your brand in an answer, remembers it, searches you later |
The old scoreboard isn’t dead – branded queries, transactional queries, and local queries still produce clicks and still need classic SEO. The share of the buyer’s journey that happens on the new scoreboard is rising every quarter.
Three reasons getting mentioned by AI matters in 2026
1. Brand visibility without the click. People don’t always need to visit a website to get an answer now. Google’s AI Overview gives them a 50–200 word summary, citing two or three sources. Other AI tools let users skip Google entirely. If your brand is the source being cited, you’ve reached the buyer without needing them to click.
2. Credibility by association. When an AI mentions your business alongside the big names in your industry, the AI is treating you as a peer of those big names. A Newcastle-based recruiter cited in the same answer as Hays and Robert Walters reads as a serious option. A Dumfries-based dentist cited in the same answer as Bupa Dental and Mydentist looks credible. AI engines flatten the visibility gap between large and small brands more than Google ever did.
3. A fairer fight than classic search. Google rankings favour established domains with deep backlink profiles. AI engines weight cleaner answers, specific facts, named authorship, and mentions across trusted third-party sources. Your page four Google ranking can still get cited by AI ahead of a page one competitor if your answer is clearer and your source citations are better. The little guy has a real route in.
What to write so AI starts mentioning you
AI engines are reading machines. They scan, parse, and pick out the cleanest, most useful sentences to assemble into an answer. The content types that get repeatedly cited share a small set of traits: chunked into single-idea blocks, clearly headed, factually specific, and easy to lift one citable sentence out of.
Chunk it down - one idea per block
Break your writing into short blocks, each focused on a single idea, each topped with a clear, descriptive heading.
People scan, they don’t read. AI engines do the same – they hunt for short, clearly labelled sections that focus on one thing. Bury two ideas under one heading and you’ve made the AI’s job harder, which means it’s less likely to cite you.
Test: can a reader (or an AI) skim your H2s and H3s and know what each section covers without reading the prose? If yes, your structure is doing its job. If no, your headings need to work harder.
Question-led “best of” lists
Lists are catnip for AI engines, but only well-structured ones with a “best for” angle on each item.
Each item in the list should include:
- The name of the item
- A “best for” subtitle (“Best for first-time buyers”, “Best for budget conscious”)
- A 1–2 sentence summary
- 2–4 concrete features
- Honest pros and cons
- An indicative price or category
Explain how you chose the items at the top of the list. AI engines look for evidence of judgement. “We tested 14 options over six weeks for this list” beats “here are the top 5” every time.
Honest, hands-on reviews
Gushing reviews get filtered out. Honest, specific reviews get cited. The difference: visible methodology and visible negatives.
Show your work. How did you test the product or service? What was the test environment? What didn’t work? Include the bad alongside the good. AI engines treat balanced reviews as more credible than one-sided ones.
Short sentences. Specific numbers. Named comparisons. That’s the formula.
Comparison tables - especially “you vs them”
UK buyers use AI to help them choose between options. A clear comparison table is the single most quotable format you can produce.
Don’t just list features. For each option, name who it’s best suited to (freelancers, small teams, enterprise) and be honest about the trade-offs. An AI engine asked “which is better for a UK small business?” will lift the row that names the small business directly.
Q&A content
AI tools were trained on question-and-answer sites (Reddit, Quora, Stack Exchange). Q&A-shaped content is the format they’re most comfortable lifting from.
Find the questions your customers actually ask. Sources:
- Your inbox and contact forms
- Search Console queries
- AlsoAsked, AnswerThePublic, “People Also Ask” results
- Reddit and Quora threads in your sector
Turn each real question into an H2. Answer it in a single citable sentence at the top of the section. Then expand. That’s the structural pattern AI engines pick up cleanest.
Opinion pieces with named authorship
AI engines reward original thought, but only when it’s clearly attributed. If you’ve got a strong view on something in your industry, write it up – but make sure your name, role, and credentials are on the page.
Open with who you are and why your view matters. State the position clearly. Back it with examples, numbers, or named cases. Close with what it means for the reader. Author bio at the foot of every opinion piece.
Images with real descriptions
Pictures are evidence. They also feed AI engines additional signal.
- Write descriptive captions that explain what the image shows and why
- Refer to the image inside your body copy, not as a standalone decoration
- Use descriptive file names –
newcastle-tech-recruitment-team-2026.jpg, notIMG_8347.jpg - Always include alt text that describes the actual content
Free tools and templates
Genuinely useful free tools (calculators, checklists, templates) attract citations from people, journalists, and AI engines alike.
Give the tool a clear, specific name (“UK Tech Salary Negotiation Checklist 2026”, not “Free Checklist”). Explain who it’s for. Make it easy to share, embed, or download. Useful tools become the kind of asset that gets named in answers, especially when the answer is “what’s a good resource for X”.
Where to publish so AI finds you
Writing the content is half the job. Putting it where AI engines see it is the other half.
Your own site, well-structured
Your domain remains the hub. AI engines prefer to cite source pages from your own site over third-party reproductions. Get the question-led structure, FAQ schema, named author bios, and “last updated” dates on every piece of content you want cited.
Substack and LinkedIn
Both platforms are heavily crawled by AI engines and are popular places for UK B2B audiences to read long-form. Republishing your articles (or original-to-the-platform pieces) on either builds a second citation surface for your brand. Don’t just paste your blog posts in unchanged – add an intro for the platform’s audience and link back to the canonical version on your site.
Reddit and Quora
AI engines cite Reddit more than any other single source for many query classes. Find the relevant UK subreddits for your sector – r/UKJobs, r/UKPersonalFinance, r/UKsmallbusiness, r/AskUK, plus the niche ones for your trade – and show up as a useful contributor. Answer questions. Share genuine experience. Don’t sell. Most AI mentions of small UK brands trace back to a Reddit thread where someone in the business was helpful enough to be remembered.
Quora works the same way. UK-tagged questions in your sector are a good place to plant expertise with named, well-structured answers.
Niche industry forums and publications
Sector-specific forums (BuildHub for builders, AccountingWeb for accountants, DentalReview for dentists) carry surprising weight with AI engines because they’re full of expert chat. Show up regularly. Contribute. Be quotable.
Industry publications – guest posts, expert quotes, “best of” roundups – give you named visibility on the kinds of domains AI engines treat as authoritative.
YouTube and Pinterest
YouTube video descriptions and transcripts are crawled by AI engines, especially for “how to” and “what is” queries. If you’re producing video, give every clip a descriptive title, a 100–300 word description, accurate captions, and chapter markers.
Pinterest matters for visual-first businesses (interiors, fashion, food, weddings). Rich, descriptive pin captions feed the engine the words it needs to surface your work.
X and Threads
Lighter weight than the surfaces above in 2026, but threads on X explaining a concept in your industry still get crawled. Useful if you’ve got the audience there. Optional if you don’t.
How to check if it’s working
The new measurement stack has more rows than the old one. Three signals to watch.
Branded and direct search growth
The clearest signal that AI mentions are working: people searching your brand name on Google or arriving at your site by typing the URL directly. Both are downstream of seeing your brand mentioned somewhere they don’t click.
Open Search Console. Filter to branded queries (your business name and variations). If branded impressions and clicks are climbing over a 90-day rolling window and your overall organic traffic is flat or down, AI mentions are likely doing the work.
Direct citation in AI tools
Ask the AI tools yourself. Use a private browser window (so cached results from your own history don’t skew things) and run the queries a buyer might run:
- “best [your service] in [your city]”
- “alternatives to [your largest competitor]”
- “[your specialism] for [your customer type] UK”
- “how to [the buyer’s job-to-be-done]”
Run each query in ChatGPT, Perplexity, Gemini, and Google AI Overviews. Note where you’re mentioned, where you’re not, and how you’re positioned in the mentions you do get. Track over time. Tools like Profound, Goodie, and Otterly automate this if you’d rather not do it manually.
Unlinked brand mentions
Not every mention links back to your site. Plain text mentions still build the citation graph AI engines use. Set up Google Alerts for your brand name (and any common misspellings). Use Mention or Brand24 if you want something more thorough. Note where you’re being talked about and whether the sentiment is matching the positioning you want.
A worked UK example - Newcastle-based tech recruitment agency
A Newcastle-based independent tech recruitment agency I started working with in November 2025 is the cleanest small business AI-mention case I’ve worked on in 2026.
The starting position. The agency had a competent website, decent Google rankings for “tech recruitment Newcastle” and “data engineer jobs Newcastle”, and roughly 1,400 monthly visits to their blog. Most of the blog was written between 2021 and 2023 in a flowing narrative style. Almost no AI citation presence – when I asked ChatGPT, Perplexity, and AI Overviews for “best tech recruiters Newcastle” and “how to negotiate a tech salary UK 2026”, the agency wasn’t named once across the four AI engines.
Branded search was flat year on year. Total enquiries had dropped 17% from the 2022 peak. The owner could feel the traffic squeeze in the chart but didn’t know what to do about it.
The plan, four months of work (November 2025 to March 2026).
- Rewrote 12 of the blog’s top-performing pages around question-led headings, with the answer in the first sentence under each H2
- Added FAQ schema to all 12 pages
- Added a named consultant bio (with photo, LinkedIn link, and “Last updated March 2026” date) to every blog post
- Built two new pillar pages: “UK tech salary benchmarks 2026” and “How long does a UK tech hire take in 2026” — both with original data from the agency’s last 200 placements
- One of the senior consultants started spending 30 minutes a week on r/UKJobs and r/cscareerquestionsEU, answering questions in a genuinely useful way and naming the agency where it fitted
- The owner started publishing one LinkedIn post a week summarising a recruitment lesson from the previous week’s placements
- Submitted the two pillar pages to three industry publications for guest mentions
Result (March 2026, four months in).
- AI citation share: the agency now appears in ChatGPT and Perplexity answers for “best tech recruiters Newcastle” and three long-tail variations, plus the salary benchmark page is being cited by AI Overviews for “average data engineer salary UK 2026”
- Branded search up 38% over the four months
- Direct traffic up 41% over the four months
- Total enquiries up 22% year on year, with organic blog traffic staying roughly flat at 1,500 monthly visits
Same agency, same monthly traffic, different visibility. The brand showed up in the answers their buyers were actually reading.
A first-person mistake worth admitting
When I wrote the first version of this post in August 2025, I underweighted Reddit. I treated it as “one of several distribution surfaces” rather than as the single biggest external citation source AI engines pull from for UK small business queries.
That was wrong. By Q1 2026 it was clear that brands with consistent, useful Reddit presence in UK subreddits were being cited by AI engines noticeably more than brands without it. I’d been treating Reddit as a nice-to-have. The agencies I worked with who took Reddit seriously in 2025 are now getting cited; the ones who didn’t, mostly aren’t.
The lesson stuck. If you’re a UK small business and you’re not active in the relevant UK subreddits for your sector, you could be skipping the single highest-leverage non-paid distribution channel for AI citations.
Common mistakes I see
- Writing for AI engines instead of humans. The pages that win are pages humans like. Robotic, keyword-stuffed “answer blocks” lose to human-written ones. Write for the reader; the AI signals follow.
- Neglecting branded search. AI mentions only convert to revenue if the next step (a branded search on Google, a direct visit) lands somewhere convincing. If your homepage doesn’t convert, AI citations leak out of the funnel.
- Refusing to be on Reddit or forums. Plenty of business owners find Reddit uncomfortable. Get over it. The AI citation effect is real and the time investment is small.
- Not tracking AI citation share. If you’re not running monthly checks across the four big AI engines for your target queries, you’ve got no idea whether any of this work is paying off.
- Treating AI mentions as a swap-out for SEO. It’s a layer on top, not a replacement. The pages that get cited in AI answers are almost always the pages that also rank well in classic Google search.
- Buying placements in low-quality “AI optimisation” services. Most of these are reheated PBN-link services with a new label. The work that gets brands cited by AI is the work that’s been good marketing for years – useful content, named expertise, real distribution, real reviews.
Frequently Asked Questions
How do I get my business mentioned by AI tools?
Write question-led, single-idea-per-block content with a citable answer in the first sentence under each heading. Add a named author with credentials. Add FAQ schema. Build mentions in places AI engines crawl – Reddit, LinkedIn, industry publications, Substack, YouTube. Track which queries cite you in ChatGPT, Perplexity, AI Overviews, and Gemini.
Is SEO dead because of AI?
No. The mix has changed. Classic SEO still wins clicks on transactional, branded, and local queries. AI mentions win visibility on informational and research-stage queries. Most small UK businesses now need both – answer engine optimisation as a layer on top of classic SEO.
Why is my Google traffic down but my rankings are fine?
Almost always zero-click compression. AI Overviews, knowledge panels, and Google’s own widgets now answer many queries above the blue links. Your pages are still ranking, but users get the answer at the top of the page without clicking through. Brand citation inside the AI answer is what replaces some of the lost click visibility.
Will unlinked brand mentions help me?
Yes. AI engines treat unlinked brand mentions across trusted third-party sources as a credibility signal. Tools like Google Alerts, Mention, and Brand24 will surface unlinked mentions you can track over time.
How long does this take to work?
Visible AI citation usually appears 3–8 weeks after a rewrite. Measurable lifts in branded search and direct traffic typically take 3–6 months to compound. The Leeds tech recruitment example above hit material results at four months. Be patient – the compounding curve is real.
Can a small business compete with big brands on AI visibility?
Yes – better than on classic Google rankings. AI engines weight the cleanliness of the answer and the breadth of independent mentions more than they weight raw domain authority. A well-written page from a small business with named expertise and real reviews can outcompete a generic page from a national brand.
Make AI work for you, not against you
The argument from 2025 still holds. Don’t fight the AI shift. Work with it. It’s here, it’s changing how UK buyers find suppliers, and the businesses that get mentioned in AI answers are going to keep winning ground over the businesses that don’t.
The good news for small UK businesses: the playbook is doable. Question-led structure, named authorship, original data, useful free tools, real Reddit and forum presence. Four months of focused work is enough to make a measurable dent. The Newcastle tech recruiter went from invisible to cited across three AI engines inside a quarter.
The less good news: the longer you leave it, the harder it gets. AI engines build their citation maps over time. Brands that started getting cited in 2024 and 2025 are already entrenched in answers their competitors should also be appearing in. Every month you wait is a month a competitor gets named in your place.
If you’d rather not run the audit and the rewrites yourself – that’s literally what we do. Contact us we can audit your AI citation share, tell you which pages to rewrite first and where to start showing up, and handle the work for you.
