# PromptRaise — Full LLM Navigation File # https://llmstxt.org/ (llms-full.txt: expanded site index for AI agents) > PromptRaise helps Web3 projects rank across AI summaries, LLM responses and > search surfaces. We make protocols discoverable and citable inside ChatGPT, > Perplexity, Claude, Gemini and emerging AI search engines. ## Overview PromptRaise provides an AI audit tool, an educational glossary, and a blog of research and case studies on Web3 AI visibility (GEO / AEO / LLM visibility). Our free audit tool scans any Web3 project and scores how well AI systems can read it, then generates concrete fixes (llms.txt, robots.txt, JSON-LD, meta). ## Pages - [Home]( https://promptraise.com/) — Landing: services, pricing, case studies, team - [Blog index]( https://promptraise.com/blog) — Research, case studies, Web3 AI visibility strategy - [Glossary]( https://promptraise.com/glossary) — Web3 AI visibility glossary (canonical; legacy /academy/glossary 301s here) - [Free AI Visibility Audit]( https://audit.promptraise.com) — Scan any Web3 site - [AI Visibility Checker for Web3]( https://promptraise.com/ai-seo-for-web3) — Free playbook - [Privacy]( https://promptraise.com/privacy) — Privacy notice and data handling ## Tools - [Audit.promptraise.com]( https://audit.promptraise.com) — free AI visibility scanner: scores SSR content, AI crawler access (20 crawlers), JSON-LD, tokenomics, llms.txt readiness; generates fixes. ## Blog - [Four Essential Principles to Improve Your AI Search Visibility](https://promptraise.com/blog/four-essential-principles-to-improve-your-ai-search-visibility) — Blog post: Web3 startups are invisible to ChatGPT, Claude and Perplexity without an AI search strategy. Zain Khan's Starknet Foundation workshop: the four pillars that get you cited by AI. - [The Science Behind AI Brand Visibility](https://promptraise.com/blog/the-science-behind-ai-brand-visibility) — Blog post: The marketing world is facing a tectonic shift: 72% of B2B buyers now begin their journey in AI. Here's how PromptRaise turns AI visibility into measurable leadership. - [How Web3 Protocols Win the AI Visibility Race in 2025](https://promptraise.com/blog/how-web3-protocols-win-the-ai-visibility-race-in-2025) — Blog post: The next frontier isn't search rankings-it's whether AI systems cite, recommend, and trust your protocol. Here's what the data says about who's winning and why. - [Why ChatGPT Ignores Your Protocol (And How to Fix It)](https://promptraise.com/blog/why-chatgpt-ignores-your-protocol-and-how-to-fix-it) — Blog post: Most Web3 teams optimize for Google. But the AI layer has different rules, different signals, and different winners. - [From Invisible to Referenced: A DeFi Protocol's 90-Day Journey](https://promptraise.com/blog/from-invisible-to-referenced-a-defi-protocol-s-90-day-journey) — Blog post: We tracked one protocol's AI mention rate across ChatGPT, Perplexity, and Claude over three months. The results were striking. - [The Anatomy of an AI Citation: What Makes LLMs Trust a Source](https://promptraise.com/blog/the-anatomy-of-an-ai-citation-what-makes-llms-trust-a-source) — Blog post: We analyzed 10,000 AI-generated responses across financial topics to understand what determines source selection. - [Prompt Engineering Is Dead. Here's What Comes Next](https://promptraise.com/blog/prompt-engineering-is-dead-here-s-what-comes-next) — Blog post: The shift from prompting to protocol-level influence is already underway. Early movers are seeing compounding advantages. - [Introducing Real-Time AI Audit: Know Your Visibility Score Today](https://promptraise.com/blog/introducing-real-time-ai-audit-know-your-visibility-score-today) — Blog post: Our new audit tool gives protocols a live snapshot of how AI systems currently perceive and reference them. - [Perplexity vs. ChatGPT vs. Claude: Which AI Drives the Most Protocol Traffic?](https://promptraise.com/blog/perplexity-vs-chatgpt-vs-claude-which-ai-drives-the-most-protocol-traffic) — Blog post: Not all AI assistants are created equal. Our analysis of referral patterns across 30 protocols reveals a clear hierarchy. ## Glossary - [AI visibility](https://promptraise.com/glossary#term-ai-visibility) — Glossary term: How often and how accurately large language models (LLMs) like ChatGPT, Claude and Perplexity name, describe and link to your protocol in their answers. It is about being cited, not just ranked. - [GEO (generative engine optimization)](https://promptraise.com/glossary#term-geo-generative-engine-optimization) — Glossary term: The discipline of shaping your on-page content, structured data and public surfaces so AI answer engines select and cite you. GEO optimizes for the answer, not the blue link. - [Answer engine](https://promptraise.com/glossary#term-answer-engine) — Glossary term: A service that responds to a query with a synthesized answer instead of a list of links - for example ChatGPT, Perplexity, Google AI Overviews, Claude and Gemini. - [Crawler](https://promptraise.com/glossary#term-crawler) — Glossary term: An automated program that fetches and scans web pages to build an index or knowledge base. AI crawlers (GPTBot, PerplexityBot, ClaudeBot, CCBot) visit your site to read it; you control them via robots.txt. - [robots.txt](https://promptraise.com/glossary#term-robots-txt) — Glossary term: A plain-text file at your site root that tells crawlers which paths they may or may not fetch. For AI visibility it must explicitly allow the AI crawlers - GPTBot, PerplexityBot, ClaudeBot, CCBot, Google-Extended. - [sitemap.xml](https://promptraise.com/glossary#term-sitemap-xml) — Glossary term: An XML file listing the URLs a site wants crawlers to find, usually with last-modified dates. Submitting one to Google Search Console helps ensure every page - including each glossary entry's page - is discovered. - [Indexability](https://promptraise.com/glossary#term-indexability) — Glossary term: Whether a page is allowed and able to be read and stored by crawlers. A page marked noindex, behind a login, or rendered only by JavaScript may be effectively invisible to AI engines. - [Knowledge cutoff](https://promptraise.com/glossary#term-knowledge-cutoff) — Glossary term: The date up to which a model's static (parametric) knowledge was trained. Events after the cutoff are unknown to the model unless supplied by live retrieval - which is why fresh, current content you publish matters. - [Parametric knowledge](https://promptraise.com/glossary#term-parametric-knowledge) — Glossary term: Facts a model holds from its training data, recalled without fetching anything live. It can be stale or wrong, and it is the default when no external source is provided. - [Retrieval-augmented generation (RAG)](https://promptraise.com/glossary#term-retrieval-augmented-generation-rag) — Glossary term: The pattern where a model answers by first searching external sources and then quoting them. About 40% of an answer may draw on live retrieval - the part you can influence with publicly available, verifiable content. - [Grounding](https://promptraise.com/glossary#term-grounding) — Glossary term: Tying an answer to verifiable sources rather than model memory. Grounded answers cite documents - so your onchain dashboards, audit reports and docs pages become the evidence the answer is built on. - [Citation](https://promptraise.com/glossary#term-citation) — Glossary term: An answer engine naming and linking the source it drew from. Perplexity cites every source; ChatGPT and Google AI Overviews cite many but not all. Citations are the core KPI of AI visibility. - [Source graph](https://promptraise.com/glossary#term-source-graph) — Glossary term: The network of trusted domains and documents an answer engine prefers to draw from. Being inside it repeatedly across queries builds your authority with that engine. - [First-party data](https://promptraise.com/glossary#term-first-party-data) — Glossary term: Data you own and publish about your own protocol: TVL, volumes, user counts, dates of audits and grants. LLMs trust it more than third-party claims, and it is what they quote when describing you. - [Answer capsule](https://promptraise.com/glossary#term-answer-capsule) — Glossary term: A self-contained, quotable one or two sentence answer to a likely question, placed directly in your copy. It states one thing completely with one number, so an engine can lift it verbatim. - [Canonical facts](https://promptraise.com/glossary#term-canonical-facts) — Glossary term: The stable, public truths about what your protocol is and does - category, mechanics, date founded, current status. Publish these consistently so every AI surface describes you the same way. - [Onchain transparency](https://promptraise.com/glossary#term-onchain-transparency) — Glossary term: Publishing data verifiable on the blockchain - balances, transactions, contracts - that an engine can treat as provably true. It is some of the strongest trust material a Web3 project has. - [TVL (total value locked)](https://promptraise.com/glossary#term-tvl-total-value-locked) — Glossary term: The total value of assets deposited in a protocol. A dated, sourced TVL figure listed on DefiLlama or your docs is a first-party number answer engines routinely cite when ranking a category. - [Audit as a trust signal](https://promptraise.com/glossary#term-audit-as-a-trust-signal) — Glossary term: A published security audit with a date and report link. For Web3 auditors, LLMs and answer engines treat an independent audit as one of the strongest signals a project is legitimate and current. - [Digital public relations (digital PR)](https://promptraise.com/glossary#term-digital-public-relations-digital-pr) — Glossary term: Getting listed, mentioned and referenced across third-party directories, marketplaces and media so multiple trustworthy surfaces describe you consistently - reinforcing what LLMs know about you. - [Structured data](https://promptraise.com/glossary#term-structured-data) — Glossary term: Machine-readable annotations - usually JSON-LD - added to a page so engines understand its meaning precisely instead of guessing. It is the language AI visibility is written in. - [JSON-LD](https://promptraise.com/glossary#term-json-ld) — Glossary term: The most common format for embedding structured data in a page: a JSON block in the describing the page to engines using schema.org vocabulary. - [DefinedTerm](https://promptraise.com/glossary#term-definedterm) — Glossary term: A schema.org type for a glossary entry: the term plus its definition, marked so engines can read, quote and link it as a precise definition rather than loose text. - [FAQPage schema](https://promptraise.com/glossary#term-faqpage-schema) — Glossary term: Structured data marking a question-and-answer block so engines can surface the Q&A verbatim, often as a rich result. Useful for the top questions about your protocol. - [Rich results](https://promptraise.com/glossary#term-rich-results) — Glossary term: Enhanced search listings built from structured data - FAQ, glossary, product, review. They make your result stand out and confirm to an engine that the content is structured and trustworthy. - [Organization schema](https://promptraise.com/glossary#term-organization-schema) — Glossary term: Structured data describing your project as an organization - name, logo, links to socials - so engines know who you are and can associate all your surfaces with one entity. - [Citation per query](https://promptraise.com/glossary#term-citation-per-query) — Glossary term: The KPI of AI visibility: across a fixed set of representative queries, how often an answer engine names and links your domain. Track it over time rather than chasing rankings. - [AI referral traffic](https://promptraise.com/glossary#term-ai-referral-traffic) — Glossary term: Visitors arriving from answer engines. Perplexity citations are clickable and appear in analytics; ChatGPT and others are mostly not, so referral traffic undercounts real citation influence. - [Brand mention monitoring](https://promptraise.com/glossary#term-brand-mention-monitoring) — Glossary term: Systematically checking whether answer engines name you for relevant queries. Tools that ping ChatGPT, Perplexity, Claude and Gemini for your brand name automate this tracking over time. - [Entity resolution](https://promptraise.com/glossary#term-entity-resolution) — Glossary term: The process by which an LLM determines that two tokens, projects or people sharing the same name or ticker are distinct entities. For Web3 - where tickers are sparse and reused across chains - resolution is what stops one protocol being conflated with a namesake. Anchor your entity with Organization schema, a canonical URL and stable, repeated facts so the model resolves you to the right identity. - [On-chain grounding](https://promptraise.com/glossary#term-on-chain-grounding) — Glossary term: Anchoring an AI-generated claim to immutable blockchain data - wallets, TVL, transaction history, contract state - rather than to a mutable web page. On-chain facts are provable and time-stamped, so an engine can treat them as ground truth even when a blog or docs page could be edited or deleted. Link your claim to the exact on-chain data so a model can verify it. - [Whitepaper indexability](https://promptraise.com/glossary#term-whitepaper-indexability) — Glossary term: Whether a protocol's whitepaper - typically a PDF or Gitbook - can actually be parsed, read and cited by an LLM. A PDF with no text layer, or a JS-only Gitbook, may be invisible to crawlers no matter how substantial the document is. Serve a crawlable, text-first version of the whitepaper alongside the PDF to make it indexable and citable. - [Ticker hallucination](https://promptraise.com/glossary#term-ticker-hallucination) — Glossary term: When an LLM confuses one token with another that shares the same ticker symbol, mixing up price, utility, history or chain. It is commonplace in Web3 because tickers like 'BTC', 'USDC' and 'SOL' are reused across chains and bridges. Prevent it by stating your chain, contract address and distinct utility explicitly - on every surface - so the model has enough signal to keep you separate. - [Decentralized identity (DID) for AI](https://promptraise.com/glossary#term-decentralized-identity-did-for-ai) — Glossary term: Using on-chain credentials - wallet ownership, DAO membership, attestations, signed statements - to verify who authored or authorized Web3 content. DIDs give an LLM a machine-checkable chain of authorship and authority, so it can attribute a claim to a known, legitimate source rather than an anonymous account. Publish signed, identity-bound content to give engines a verifiable author. - [Semantic embeddings](https://promptraise.com/glossary#term-semantic-embeddings) — Glossary term: The mathematical vectors an LLM converts text into to represent meaning, so it can match and rank content by concept rather than keyword. Content that is contextually similar sits close together in vector space. Write prose that says what you mean plainly and completely - embeddings reward clear, dense, on-topic language over keyword stuffing. - [Context window](https://promptraise.com/glossary#term-context-window) — Glossary term: The bounded amount of text an LLM can hold in memory at once - a few thousand tokens on small models, up to 128k or more on large ones. Because the window is finite and shared across many retrieved sources, concise, dense material gets preserved and cited while rambling content gets trimmed or dropped. Make every sentence carry one verifiable fact. - [Entity authority](https://promptraise.com/glossary#term-entity-authority) — Glossary term: Why an LLM trusts a recognized brand or person - Vitalik on Ethereum, a protocol on its own architecture - more than a high-DR blog that merely repeats secondhand. Authority attaches to the entity and its provenance, not to a link profile. Build a strong entity with consistent, verifiable, identity-bound facts so the model weighs your primary word above any copycat's. - [Prompt injection](https://promptraise.com/glossary#term-prompt-injection) — Glossary term: A malicious attempt to manipulate an LLM's output by embedding hidden instructions inside content the model retrieves - a technique Web3 brands must guard against because their public docs, forums and tooling are all read by AI crawlers. Publish from controlled, signed, canonical surfaces and treat any instruction-like text in user-generated content as untrusted. - [AI share of voice (AI SOV)](https://promptraise.com/glossary#term-ai-share-of-voice-ai-sov) — Glossary term: The percentage of relevant queries on which an answer engine cites your protocol compared with direct competitors. Where traditional SOV tracks media mentions, AI SOV tracks citations inside ChatGPT, Perplexity, Claude and Gemini answers for a category. Measure it as: your citations / total competitor citations across a fixed query set. - [Zero-click AI answer](https://promptraise.com/glossary#term-zero-click-ai-answer) — Glossary term: When an LLM returns the complete answer to a query - 'What is Arbitrum's TVL?' - sourced from your content, but the user never clicks through to your site. The answer is consumed inside the engine. Your value is captured as the cited authority, not as traffic, so optimize to be the named, linked source even when the click is zero. ## People - Zain Khan — Co-founder, Promptraise: writes on Web3 AI visibility, AEO and GEO strategy. Homepage: https://promptraise.com - Maxim Moris — Co-founder, Promptraise. ## Contact - Free Audit: https://audit.promptraise.com - Telegram: https://t.me/promptraise ## Last Updated 2026-08-31