Your competitors are being recommended by ChatGPT. Right now, someone in your target market is asking an AI platform which companies to work with, and the AI is answering. The question is whether your name comes up.
For most UK B2B companies, it doesn't. We audited dozens of B2B firms across six AI platforms. The average visibility score was 38 out of 100. Most companies appeared on zero platforms for the queries their buyers actually ask.
This isn't a future problem. 66% of senior decision-makers already use AI tools during procurement research (Sopro, 2025). They're asking ChatGPT and Claude for supplier recommendations, running comparison queries through Perplexity, and relying on Google's AI Overviews to build shortlists before they ever visit a website or pick up the phone.
The businesses that show up in those answers are getting the calls. The ones that don't are being filtered out before the conversation starts.
What is AI search visibility?
AI search visibility is the extent to which your business appears in responses generated by AI platforms when potential buyers ask questions relevant to your industry.
When a procurement director asks ChatGPT "Who are the best structural engineering firms in the Midlands?" or a training manager asks Perplexity "Which companies offer leadership development for construction teams?", the AI generates an answer. It cites sources. It recommends specific businesses by name.
AI search visibility measures whether your business is one of those recommendations, how often you appear, and across which platforms.
Key data point
Only 11% of domains appear in both ChatGPT and Perplexity results for the same query. A business that shows up in one platform's answers is likely invisible on four others.
This matters because the platforms are not all looking at the same sources. Visibility isn't binary. It's platform-by-platform, query-by-query, and it changes weekly.
Traditional SEO measures whether your website ranks on Google for a given keyword. AI search visibility measures whether AI platforms recommend your business when buyers ask the questions that lead to a purchasing decision. The two are related but far from identical. 80% of the URLs cited by AI assistants don't rank in Google's top 100 for the original query (Ahrefs, 2025).
You can rank first on Google and be invisible to AI. You can rank nowhere on Google and be the top recommendation in ChatGPT. The signals are different.
How do AI platforms decide which businesses to recommend?
Each AI platform selects sources differently, but there are common patterns. Most of them are not what traditional SEO trained you to expect.
Topical authority is the strongest predictor
The Princeton GEO study found topical authority correlates at r=0.41 with AI citation, making it the single strongest signal. Domain Authority, which traditional SEO relies on, explains only 4% of variance. The game has shifted from "how many backlinks do you have?" to "how deeply do you cover your subject?"
Freshness matters more than most companies realise
Half of all AI citations come from content published in the last 13 weeks. On Perplexity, freshness accounts for roughly 40% of the ranking signal. Content that was authoritative six months ago may already be invisible to AI platforms today.
The platforms don't agree on what matters most
ChatGPT search draws heavily from Bing's index, with an 87% correlation to Bing's top 10 results. Referring domains are its strongest predictor. Perplexity prioritises fresh, well-sourced content and leans heavily on Reddit. Google AI Overviews weight multi-modal content (text plus images plus video plus structured data) with a correlation of r=0.92. Microsoft Copilot requires Bing indexing as a hard prerequisite and decays citations by 97% over 91 days. Optimising for one platform does not guarantee visibility on the others.
Original data outperforms curated content
Key data point
Data-rich websites generate 4.31 times more citation occurrences per URL (Yext analysis). Statistics improve AI visibility by 22-41% (Princeton GEO study, peer-reviewed).
If you publish original research, survey data, or industry benchmarks, AI platforms have a reason to cite you specifically rather than synthesising from the general pool. If you only cite other people's data, so can everyone else.
What other people say about you matters more than what you say about yourself
Brand search volume has a 0.334 correlation with AI citations, significantly stronger than backlinks at 0.218 (Ahrefs, 75,000 brands). Third-party mentions are 6.5 times more effective at driving AI citations than content on your own domain (Muck Rack, one million-plus citations). AI platforms don't just read your website. They read what everyone else says about you.
What is the difference between AI search and traditional SEO?
AI search and traditional SEO overlap by about 90% (Lily Ray, 2025). Most of what makes a website perform well in Google also helps with AI visibility. But the 10% difference is where businesses get caught out.
Traditional SEO optimises for keywords, backlinks, and technical factors to rank a web page in search results. The user sees a list of links and clicks one. AI search optimises for citation by large language models that synthesise answers from multiple sources. The user sees an answer, not a list.
The practical differences:
Format matters differently
In traditional SEO, a 1,500-word article competes with other 1,500-word articles. In AI search, the format of your content determines how extractable it is. Comparative listicles account for 32.5% of all AI citations. Comparison tables are cited 2.5 times more often than prose. FAQ sections with schema markup increase citation rates by 44% and are three to five times more likely to be cited overall. The structure of your content isn't a bonus. It's a ranking factor.
E-E-A-T is non-negotiable
96% of Google AI Overview citations come from sources with strong Experience, Expertise, Authoritativeness, and Trustworthiness signals. Author attribution, credentials, named expertise, and verifiable claims aren't nice-to-haves in the AI search era. They're the minimum requirement.
Your website alone isn't enough
Key finding
82% of AI citations originate from earned media. 94% come from non-paid sources. Brand websites account for only 5-10% of AI citation sources (McKinsey).
Even if your website is technically perfect, AI platforms are more likely to cite a third-party review, an industry publication, or a directory listing that mentions you. Your off-site presence is as important as your on-site content.
Speed of publication matters
In traditional SEO, you can publish a piece and let it build authority over months. In AI search, 76.4% of ChatGPT's top-cited pages were updated within 30 days. On Perplexity, content updated within two hours gets a 38% citation boost. AI search rewards consistent publishing, not one-off optimisation projects.
How to check your AI search visibility
You can get a rough sense of your AI search visibility in 15 minutes. It won't tell you why you're invisible or what to fix, but it'll show you whether the problem exists.
Step 1: Build your query list
Write ten questions that your ideal buyer would ask an AI platform when looking for a business like yours. Include recommendation queries ("Who are the best [service] providers in [location]?"), problem queries ("How do companies solve [problem]?"), and comparison queries ("[Your service] vs [alternative approach]").
Step 2: Test across platforms
Run each query through ChatGPT, Perplexity, Claude, Google Gemini, and Microsoft Copilot. Record whether your business appears in the response, whether it's mentioned by name, whether your website is cited as a source, and which competitors appear instead.
Step 3: Score the results
For each platform and each query, note: appeared (cited with link), mentioned (named but no link), or absent. Count your appearances and mentions out of the total possible (10 queries times 4 platforms equals 40 opportunities).
What you'll likely find
If you haven't done any AI visibility work, you'll probably appear in fewer than 5 out of 40 opportunities. That's normal. It's also the problem. Your buyers are asking these exact questions and getting answers that don't include you.
A proper audit goes much further than running queries. 1DOT's audit covers AI crawler access, schema markup, content extractability, brand entity consistency, competitor share of voice, and technical readiness across all six platforms. The queries are one component of a seven-category assessment that identifies not just where you're invisible, but exactly why, and what to fix first.
What is generative engine optimisation (GEO)?
Generative engine optimisation is the practice of structuring your online presence so that AI platforms cite and recommend your business in their generated responses. It's the AI search equivalent of SEO.
The term comes from a 2023 paper by researchers at Princeton and Georgia Tech, who tested nine optimisation methods on a benchmark of 10,000 queries. Three methods were universally effective: citing sources (which improved visibility by 30-40%), adding quotations from experts (37% improvement), and including relevant statistics (22-41% improvement).
GEO is not a replacement for SEO. The overlap is roughly 90%. But GEO adds practices that traditional SEO doesn't cover: structuring content into extractable passages of 134-167 words, optimising for per-platform citation signals, building brand presence on sources that AI platforms actually read (Reddit, YouTube, review platforms), and maintaining a publishing cadence that keeps content within the 13-week freshness window.
Some agencies call this "answer engine optimisation" or AEO. Others call it LLMO (large language model optimisation). The labels differ but the work is the same: make it easy for AI to find, understand, and cite your business.
The reason the label matters commercially: if you're hiring an agency that calls it "AI SEO" but treats it as a bolt-on to traditional search work, you're likely getting a schema audit and some FAQ sections. GEO done properly is a content strategy, an authority-building programme, and a publishing operation. The label tells you how seriously the provider takes it.
How long does it take to improve AI visibility?
A company with a strong existing web presence and published content can see citation improvements within weeks. A company starting from scratch needs to build the foundation first. Either way, the timeline is shorter than most expect.
Typical timelines from 1DOT's client work:
In the first 30 days, the focus is on technical foundations. AI crawler access, schema markup, site structure, and fixing anything that prevents AI platforms from reading and understanding your content. This phase also includes the initial content push: pillar pages, FAQs, and answer-formatted content targeting high-value queries.
Between 30 and 90 days, topical authority starts to compound. With consistent publishing (ideally daily during a sprint phase), the site develops enough depth for AI platforms to recognise it as an authority on its core topics. First citations typically appear in this window, often on Perplexity (which weights freshness most heavily) before other platforms.
Key data point
By 90 days, measurable results are visible: AI visibility score improvements, new citations across multiple platforms, and early signs of AI-referred traffic in analytics. One training provider saw a 240% increase in AI visibility and four new client acquisitions within 90 days.
The critical factor is consistency. AI search is not a one-time project. Monthly citation volatility averages 40-60% across platforms. Only 20% of brands appear consistently when the same prompt is repeated. Sustained visibility requires sustained effort.
What does an AI visibility audit measure?
An AI visibility audit tests how your business appears across AI platforms using the queries your buyers actually ask. It's not a traditional SEO audit, though it includes technical checks.
1DOT's audit covers seven categories:
- →AI visibility scoreHow often your business appears in AI-generated answers across six platforms when tested with 15-50 queries tailored to your industry. Scored 0 to 100.
- →Platform presenceWhich platforms cite you and which don't. A business might appear consistently in Copilot but be invisible to Perplexity.
- →Citation gap analysisWhere your competitors appear and you don't. Every gap is a content opportunity.
- →Technical baselineAI crawler access, schema markup, server-side rendering, sitemap validity.
- →Content assessmentWhether your content is structured for AI extraction, with citable passages, E-E-A-T signals, and original data.
- →Brand entity analysisWhether your brand information is consistent across the web. Conflicting signals make AI platforms less confident about citing you.
- →Competitor share of voiceWhat percentage of AI citations go to competitors versus you for your target queries.
The output isn't a report that sits in a drawer. It's the input for an action plan. Every finding maps to a specific fix or content opportunity.
What results can B2B companies expect?
The honest answer is: it depends on where you start, how much content you publish, and how aggressively you build off-site authority. But the data is clear on what's possible.
Key data point
AI visitors convert at 2 to 4.4 times the rate of traditional organic search visitors. Ahrefs reported that their own AI search visitors convert 23 times better than organic.
The reason is straightforward: by the time someone asks an AI platform "Who should I work with for [service]?", they're already past the research phase. They're making a decision. Being cited at that moment is more valuable than ranking for an informational keyword.
From 1DOT's client work: a training provider went from zero AI visibility to citations across all six platforms within 90 days, resulting in four new client acquisitions directly attributable to AI-referred leads. A construction services firm saw a 240% increase in its visibility score and moved from invisible on three platforms to consistently cited across all of them.
What drives these results:
- →Publishing 30 or more pieces of content structured for AI extraction in the first 60 days
- →Building FAQ sections with schema markup on every key page (44% citation improvement)
- →Adding original data from the business's own operations (22-41% boost)
- →Cleaning up brand entity signals across directories and platforms
- →Establishing author attribution and E-E-A-T credentials
- →Maintaining a publishing cadence that keeps content within the 13-week freshness window
The window for establishing AI search authority in your category is open right now. Search volumes for AI visibility terms are still low (30-70 per month in the UK). Competition is thin. The firms that build topical authority first will own the citations that drive buyer decisions for the next decade. And once you're the established authority, displacing you is significantly harder than building from scratch.
The question isn't whether AI search matters. The data settled that. The question is whether you'll be the one getting recommended, or the one wondering why the phone stopped ringing.
About the author
Mo Walji
Mo Walji founded 1DOT in 2015. The company now helps B2B companies become visible to AI search platforms across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Mo works directly with construction, manufacturing, professional services, and education companies in the UK and US.
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