Frequently Asked Questions

GEO is the practice of structuring your website so AI-powered tools like ChatGPT, Perplexity, Gemini, and Claude can find, understand, and cite it in their answers. It complements traditional SEO, which focuses on Google rankings.

AI assistants are increasingly the first place people turn for product recommendations, research, and service comparisons. If your website is not structured for AI discovery, you are invisible to a growing segment of buyers — even if you rank well on Google.

Any business that wants to be recommended by AI assistants. This is especially important for B2B companies, professional services, SaaS products, e-commerce sites, and local businesses — because these are the categories where people frequently ask AI tools for recommendations.

No — GEO and SEO are complementary. Strong traditional SEO (fast pages, authoritative content, good technical health) provides the foundation GEO builds on. Sites with solid SEO foundations typically improve GEO scores faster because many signals overlap.

Your GEO score is a weighted composite across 8 categories: llms.txt presence, structured data quality, content E-E-A-T, citability signals, technical crawlability, entity authority, security & trust, and performance. Each category is scored 0–100, and the final score reflects your overall AI visibility readiness.

70 or above is considered AI-ready. Scores of 50–69 indicate moderate visibility with clear improvement opportunities. Below 50 means significant gaps that will limit AI citation. Most websites score between 30 and 55 on their first assessment.

We crawl your site, analyse each of the 8 GEO categories using a combination of rule-based checks and AI-powered analysis, and apply a weighted average. The methodology is based on academic research from Princeton and Georgia Tech, combined with real-world AI search testing.

In theory yes, but it is uncommon. Entity authority (Wikipedia presence, Wikidata records) takes time to build and typically holds even strong sites below 90. A score of 80+ represents excellent AI visibility for most business categories.

After implementing changes, re-run after 2–4 weeks to allow AI crawlers time to re-index your site. For ongoing monitoring, a monthly scan is typically sufficient unless you are making major site changes.

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — a framework originally developed by Google to evaluate content quality, now adopted by AI systems to decide which sources to recommend. Experience means the author has first-hand knowledge of the topic. Expertise reflects deep subject-matter knowledge. Authoritativeness measures whether your brand is recognised as a leader in its field. Trustworthiness covers security, accuracy, and transparency. AI assistants like ChatGPT, Claude, and Perplexity heavily weight E-E-A-T signals when deciding which businesses to cite — sites with strong signals are recommended significantly more often in AI-generated answers.

You receive a downloadable ZIP file containing 15 implementation-ready files: llms.txt, robots.txt, sitemap.xml, schema.json, FAQ content + schema, meta tags, content brief, image report, technical report, answer capsules, entity strategy, topic cluster map, IndexNow key, and a Claude implementation prompt. These are generated specifically for your domain based on the deep AI analysis.

The deep optimization typically takes 3–8 minutes. It involves a thorough crawl of your site, rule-based analysis, and AI-powered content review. You will receive an email when your files are ready to download.

Basic web skills are sufficient for most files. Uploading llms.txt, robots.txt, and sitemap.xml requires FTP or CMS file access. Adding JSON-LD schema requires pasting a script tag into your HTML. The package includes an implementation guide with step-by-step instructions, plus a Claude implementation prompt that gives you platform-specific guidance (WordPress, Shopify, Next.js, etc.).

We offer an expert implementation service. From the report page or download page, you can request full implementation by our team. We will review your files, contact you with a quote, and handle the entire technical implementation using the generated files.

Technical changes (llms.txt, structured data, robots.txt fixes) are typically indexed within 2–6 weeks. Content and entity changes take longer — 1–3 months is a realistic timeframe for meaningful improvement in AI citation frequency.

Perplexity AI relies heavily on real-time web crawling via PerplexityBot. To get cited, ensure your robots.txt allows PerplexityBot, add an llms.txt file describing your site, use structured data (JSON-LD) for key content, and write in a clear question-and-answer format. Perplexity favours pages with strong E-E-A-T signals — author bios, citations, and recent publication dates. Our GEO analysis checks all of these factors and provides a specific Perplexity readiness assessment.

Anthropic's Claude uses ClaudeBot to crawl websites. Allow ClaudeBot in your robots.txt, create a comprehensive llms.txt file (Anthropic helped develop this standard), add Organization and Person schema markup, and structure content with clear headings and direct answers. Claude particularly values well-structured, authoritative content with proper attribution. NexRank checks ClaudeBot accessibility and provides Claude-specific recommendations.

AI assistants use a combination of training data, real-time web retrieval (RAG), and quality signals to decide citations. Key factors include: structured data that helps AI understand your content, E-E-A-T signals (expertise, authority, trust), content freshness, entity recognition (named people, organisations, locations), llms.txt for content discovery, and conversational content format. Research from Princeton University shows that citations, statistics, and quotations increase AI visibility by up to 40%.

Yes — NexRank's free GEO score analysis evaluates how well your site is structured for AI recommendation. While no tool can guarantee real-time citation tracking across all AI platforms, our analysis checks every technical and content signal that determines whether ChatGPT, Claude, Perplexity, and Gemini can find and cite your site. Enter your URL on our homepage to get your score in under 60 seconds.

llms.txt is an emerging open standard — a plain text file at yourdomain.com/llms.txt — that describes your website to AI crawlers. Think of it as robots.txt for AI content discovery. It tells AI systems what your business does, what content is available, and how to navigate your site. Cloudflare, Anthropic, and many major platforms have adopted it. If you want AI assistants to understand and recommend your business, an llms.txt file is essential. Our optimisation package generates one tailored to your site.

Absolutely. AI assistants like ChatGPT, Claude, and Perplexity serve a global audience, but users frequently ask location-specific questions — "best accountant in Manchester", "top SaaS tools UK", "recommended solicitors London". Without GEO optimisation, UK businesses miss these AI-driven recommendations entirely. NexRank is built specifically for the UK market with GBP pricing, UK-focused advice, and an understanding of British business categories.

NexRank offers three tiers: a completely free GEO score analysis, a one-time optimisation package at £297 (no subscription) with 16 implementation-ready files, and a custom-quoted done-for-you implementation service for businesses that want expert hands on the work. Most UK businesses see measurable improvement within 4–6 weeks of implementing the optimisation files.

Research from Princeton University shows GEO optimisations increase AI visibility by up to 40%. Gartner predicts traditional search volume will drop 25% by 2026 as users shift to AI assistants. Businesses that optimise early gain a compounding advantage as AI usage grows — similar to the early-mover advantage in SEO during the 2010s. The one-time cost of GEO optimisation delivers ongoing returns as AI recommendation traffic increases.

Local businesses benefit significantly from GEO because AI assistants frequently answer location-based queries — "best Italian restaurant in Birmingham", "recommended plumber near Leeds". Adding local schema markup (LocalBusiness type), including your address and service area in structured data, creating location-specific FAQ content, and ensuring your llms.txt mentions your geographic focus all improve local AI visibility. Our analysis includes location-specific recommendations.

Start with a free GEO analysis to understand your current score and gaps. Our free tier gives you a comprehensive score across 8 categories with specific recommendations. If your score reveals significant opportunities (most sites score 30–55 initially), the paid optimisation package provides 16 implementation-ready files that would take hours to create manually. For businesses without technical resources, our done-for-you service handles the entire implementation.

Our optimization covers GPTBot (ChatGPT), ClaudeBot (Anthropic Claude), PerplexityBot, Google-Extended (Gemini/AI Overviews), and Bingbot (Microsoft Copilot). We ensure your robots.txt explicitly allows all these crawlers and that your llms.txt provides structured content discovery for each.

llms.txt is an emerging open standard — a text file placed at yourdomain.com/llms.txt — that describes your site to AI crawlers. It is the AI equivalent of robots.txt but for content discovery rather than crawl permissions. Cloudflare, Anthropic, and many major platforms have adopted it.

JSON-LD is a machine-readable format for describing your content using Schema.org vocabularies. Adding Organization, FAQPage, Article, or Product schemas to your pages tells AI systems exactly what your site is about, which dramatically improves citation accuracy.

Positively, not negatively. The changes we recommend (structured data, better robots.txt, faster pages, improved content quality) all align with Google's best practices and will improve or maintain your existing SEO rankings.