The AI search landscape in 2026
In 2026, UK consumers and business buyers use multiple AI-powered tools to research, compare, and decide — not just Google. The major AI search platforms and their UK relevance:
- Google AI Overviews — appear at the top of Google results for a growing proportion of UK queries. Highest reach, highest commercial intent overlap with traditional search.
- Perplexity — fastest-growing AI search tool globally. Heavily used by professionals and researchers. Tends toward detailed, cited answers. UK user base growing 60%+ year-on-year.
- ChatGPT with web browsing — tens of millions of active users in the UK. When browsing is enabled, draws from Bing's index. Used for research, comparisons, and recommendations.
- Microsoft Copilot — integrated into Windows 11, Edge, and Microsoft 365. Enormous passive reach through existing Microsoft ecosystem. Uses Bing's index.
- Google Gemini — Google's AI assistant. Integrated into Google Search, Google apps, and Android. Significant and growing reach, especially on mobile.
A key strategic insight: ChatGPT, Copilot, and Perplexity all draw substantially from Bing's index. This means Bing SEO is now a prerequisite for appearing in three of the five major AI search platforms. UK businesses that have neglected Bing are effectively invisible in over half of the major AI search channels.
Start with: (1) fixing robots.txt to allow all major AI crawlers; (2) submitting your sitemap to Bing Webmaster Tools; (3) implementing FAQPage schema on your key pages; (4) improving organic Google rankings for target queries. These four steps unlock meaningful visibility across all five platforms simultaneously.
Technical prerequisites: get these right first
Before optimising for any individual AI engine, verify these technical foundations. Without them, all other optimisation effort is wasted.
1. Audit your robots.txt
Visit yoursite.com/robots.txt. Check that the following crawlers are NOT blocked by Disallow rules:
Googlebot— required for Google AI Overviews and GeminiBingbot— required for ChatGPT browsing and CopilotGPTBot— OpenAI's crawler for ChatGPT web browsingPerplexityBot— Perplexity's crawlerGoogle-Extended— Google's AI systems crawler
A Disallow: / rule for * (all crawlers) blocks everything. Check for this immediately. Even a robots.txt that looks permissive for Googlebot may accidentally block AI crawlers if they are not explicitly listed.
2. Submit to Bing Webmaster Tools
Visit bing.com/webmasters, verify your site, and submit your XML sitemap. This single step unlocks potential visibility in ChatGPT, Copilot, and Bing Search simultaneously. See our complete Bing Webmaster Tools guide for step-by-step instructions.
3. Verify Google Search Console
Your site should be verified in Google Search Console with your sitemap submitted. Google AI Overviews and Gemini draw from Google's index — GSC helps ensure Google can crawl, index, and understand your pages correctly.
4. Implement HTTPS across all pages
All major AI systems exclude non-HTTPS pages from citations. Ensure valid SSL on all pages, including subdomains and HTTP redirect to HTTPS on all URLs.
How to rank in ChatGPT
ChatGPT's web browsing mode works by querying Bing's search index for the user's question, retrieving the top-ranking pages, reading them, and synthesising an answer. The citation mechanism is therefore:
- User asks ChatGPT a question
- ChatGPT queries Bing for that question
- Bing returns its top-ranking pages
- ChatGPT reads those pages and synthesises an answer, citing the sources it used
What this means for your strategy
- Rank on Bing for your target queries — this is the primary lever. See our Bing SEO guide for how to do this.
- Allow GPTBot in robots.txt — OpenAI's crawler must not be blocked. Even if you rank on Bing, ChatGPT may not be able to read your page if GPTBot is disallowed.
- Use direct question-answer content structure — ChatGPT extracts the most directly relevant passages. Pages that answer the question in the first paragraph of the relevant section are cited more reliably.
- Avoid heavy JavaScript rendering for key content — ChatGPT's crawler has limited JavaScript execution capability. Ensure your key content is rendered in HTML, not dynamically loaded via JS.
How to rank in Google AI Overviews
Google AI Overviews appear above organic results for informational, how-to, and comparison queries. They primarily cite pages already in the top 10 organic results for the query. The optimisation path:
Step 1: Improve your organic ranking
If you are not in Google's top 10 for the target query, AI Overview citation is unlikely regardless of schema or content structure. Organic ranking improvement is the prerequisite. This means: technical SEO health, content quality and depth exceeding competing pages, and backlink authority for the target keyword.
Step 2: Implement FAQPage schema
Add FAQPage schema to every page with Q&A content. Each FAQ item should directly answer a specific question that AI Overview triggers for. Structure the answer to be concise in the first sentence (AI Overviews extract the first 1–2 sentences of an answer most frequently), then expand with detail.
Step 3: Structure content as inverted pyramid
Direct answer first. Supporting detail second. Context and caveats last. AI Overviews extract the most direct, concise answer available — not the most eloquent or comprehensive one. "The answer is X because Y" beats a three-paragraph build-up to the same conclusion.
Step 4: Use H2/H3 headings as literal questions
Replace vague section headings ("About our service") with question-phrased headings that match what users actually search ("How much does [service] cost in the UK?"). The heading signals to Google what question the following section answers.
Step 5: Establish E-E-A-T signals
Google's AI systems prioritise experience, expertise, authoritativeness, and trustworthiness. For business content: name your authors, add their credentials and LinkedIn profiles, cite your sources, display your company registration details, include client testimonials or case studies, and ensure your about page is comprehensive. These signals are increasingly important for AI Overview inclusion.
How to rank in Perplexity
Perplexity is a retrieval-augmented generation (RAG) engine with its own crawler (PerplexityBot) and Bing index access. It has a distinct character: it favours structured, research-style content with cited sources and named authorities.
- Allow PerplexityBot in robots.txt — check it is not in a Disallow rule
- Include statistics and primary source citations — Perplexity favours pages that cite authoritative data with year and source attribution
- Write in an analytical, structured style — listicles and heavily promotional content performs poorly on Perplexity relative to analytical prose
- Use clear section headings and a table of contents — Perplexity's extraction algorithm benefits from clear document structure
- Build authoritative backlinks — Perplexity uses domain authority as a strong citation signal, even more so than Google AI Overviews
- Update content regularly — Perplexity preferentially cites fresh content for fast-moving topics
How to rank in Google Gemini
Google Gemini draws from Google's index and behaves similarly to AI Overviews in its citation signals. Key differences:
- Gemini is more conversational and synthesises more extensively than AI Overviews — it often cites more sources per response
- Gemini is more willing to cite content beyond the top 3 organic results — strong content at position 5–10 can be cited
- Gemini has stronger integration with Google Knowledge Graph — Organisation and Person schema improves entity recognition and citation likelihood
- The mobile Gemini experience (Android) drives a different query type distribution — more conversational, voice-style queries that benefit from natural language content structure
How to rank in Microsoft Copilot
Microsoft Copilot uses Bing's index as its primary data source and is integrated throughout the Microsoft ecosystem. The optimisation path is identical to ChatGPT: rank on Bing, allow Bingbot, and implement clear content structure. Copilot-specific considerations:
- LinkedIn content — Microsoft owns LinkedIn. Copilot has access to LinkedIn content and can cite it in professional-context responses. Publishing long-form LinkedIn articles and company updates generates an additional citation channel exclusive to Copilot.
- Microsoft products and services content — queries about Microsoft-adjacent tools (Excel, Teams, Azure, Windows) return Copilot results heavily. For businesses in the Microsoft ecosystem, this is a high-opportunity niche.
- B2B emphasis — Copilot's user base skews heavily B2B (Microsoft 365 users, business IT users). B2B content and commercial queries have higher Copilot visibility potential than B2C content.
Content strategy for AI search: what to create
FAQ content on every key page
Every service page, product page, and landing page should include a FAQ section with 6–12 questions that your target audience actually asks. These should be phrased exactly as users would ask them, not as you would frame them. Use FAQ schema on all of them.
Definitional and explanatory content
AI search engines are heavily used for "what is X", "how does X work", and "what's the difference between X and Y" queries. Pages that clearly define and explain concepts in your industry are disproportionately cited. Create a glossary or dedicated explainer pages for key terms in your sector.
Comparison content
"X vs Y" content is one of the highest-citation content types in AI search. Users increasingly turn to AI tools for product and service comparisons. Create honest, structured comparison content (including comparisons involving your competitors) — AI systems cite balanced, informative comparisons more readily than promotional content.
Statistics and data pages
Pages that aggregate relevant statistics are extremely high-citation targets across all AI engines. A "UK digital marketing statistics 2026" page or "average website conversion rate by industry" page will consistently be cited as supporting evidence across countless related queries.
HowTo guides
Step-by-step instruction content with HowTo schema is extracted and displayed directly in AI answers. Every practical process your business is involved in is a potential HowTo guide. Keep steps concise, numbered, and action-orientated.
Schema markup: implementation checklist
- ☐ FAQPage — on all pages with Q&A content
- ☐ HowTo — on all step-by-step instructional content
- ☐ Article — on all blog posts and guides (include author, datePublished, dateModified)
- ☐ Organization — site-wide in
<head>(name, url, logo, sameAs social profiles) - ☐ BreadcrumbList — on all pages except homepage
- ☐ Service — on all service pages (name, description, areaServed, offers)
- ☐ LocalBusiness — if you serve a geographic area (add to Organization or separately)
- ☐ Product — on all product pages (name, description, offers, reviews)
- ☐ SpeakableSpecification — on key pages to mark content as AI-readable
Validate all schema at search.google.com/test/rich-results and validator.schema.org.
Measuring your AI search visibility
Tracking AI citation is less standardised than tracking organic rankings, but these methods provide actionable data:
- Google Search Console — monitor AI Overview impressions and clicks for tracked queries as GSC continues expanding AI visibility reporting
- Bing Webmaster Tools — track Bing impressions as a proxy for ChatGPT and Copilot visibility
- Manual monitoring — run your target queries in Google (with AI Overviews enabled), Perplexity, and ChatGPT weekly. Record citation frequency per query.
- Third-party tools — SE Ranking, Semrush, and BrightEdge offer AI visibility dashboards tracking citation frequency across platforms
- Brand search and direct traffic — AI citations drive brand awareness even without a direct click. Upward trends in branded search volume and direct traffic correlate with increased AI visibility
Set a baseline now by auditing your current citation frequency across all five platforms for your top 20 target queries. Run the same audit in 90 days to measure improvement. The businesses establishing AI search positions today are building a durable advantage that will compound over the next 2–3 years as AI search continues to take query share from traditional blue-link results.