# brandflare

> brandflare is an AI visibility platform for generative engine optimization (GEO). It tracks how AI engines — ChatGPT, Google Gemini, Google Search, Perplexity, and Claude — mention, recommend, and describe brands: visibility scores, share of voice, competitor gaps, and accuracy flags for false AI claims, measured by scheduled prompt sweeps and an LLM judge.

Key pages:

- [Explore brands](https://brandflare.io/explore): Live AI Visibility Scores for the public brand catalog.
- [How it works](https://brandflare.io/how-it-works): Five steps from a free look-up to tracking your own brand privately.
- [Pricing](https://brandflare.io/pricing): Starter, Pro, and Agency plans.
- [Learn](https://brandflare.io/learn): The GEO knowledge base — 82 guides, definitions, and answers.
- [Quoted, the blog](https://brandflare.io/blog): GEO strategy, engine behavior, and AI visibility research.

## Guides

- [What Is Generative Engine Optimization (GEO)? The Complete Guide](https://brandflare.io/learn/guides/what-is-generative-engine-optimization): Generative engine optimization (GEO) is the practice of increasing your brand's visibility in AI answers from ChatGPT, Gemini, Perplexity, and Claude. Learn how it works.
- [GEO vs SEO: What Actually Changes When AI Answers the Query](https://brandflare.io/learn/guides/geo-vs-seo): SEO earns you a ranking; GEO earns you a mention in the answer itself. A practical comparison of goals, tactics, and metrics — and what carries over.
- [How ChatGPT, Gemini, Perplexity, and Claude Decide Which Brands to Recommend](https://brandflare.io/learn/guides/how-ai-engines-recommend-brands): When someone asks an AI for the best product in your category, why do some brands get named and others ignored? Inside training data, retrieval, and citations.
- [How to Measure AI Visibility: Metrics, Benchmarks, and Method](https://brandflare.io/learn/guides/how-to-measure-ai-visibility): Mention rate, share of mentions, sentiment, accuracy: the metrics that describe how AI engines present your brand, measured only on questions that do not name it.
- [How to Get Your Brand Mentioned by ChatGPT: 12 Tactics That Work](https://brandflare.io/learn/guides/how-to-improve-ai-visibility): Practical, evidence-based tactics to increase your brand's presence in AI answers — from entity-consistent content to digital PR, structured data, and llms.txt.
- [AI Brand Monitoring: How to Track What AI Says About Your Brand](https://brandflare.io/learn/guides/ai-brand-monitoring): AI engines answer millions of questions about brands every day — mostly unobserved. How to monitor mentions, sentiment, and false claims across engines.
- [AI Is Wrong About Your Brand: Finding and Fixing Hallucinations](https://brandflare.io/learn/guides/fix-ai-hallucinations-about-your-brand): AI engines state false claims about companies with total confidence — wrong prices, dead products, invented facts. How to detect them and get them corrected.
- [Content Strategy for AI Search: Writing Content LLMs Actually Cite](https://brandflare.io/learn/guides/content-strategy-for-ai-search): AI engines quote pages that answer questions directly, carry verifiable facts, and mark up their entities. A content playbook for the citation era.
- [GEO for Agencies: Adding AI Visibility to Your Service Stack](https://brandflare.io/learn/guides/generative-engine-optimization-for-agencies): Clients are already asking what ChatGPT says about them. How agencies productize GEO: audits, reporting, retainers, and the tooling to run it at scale.

## GEO Glossary

- [Generative Engine Optimization (GEO)](https://brandflare.io/learn/glossary/generative-engine-optimization): Definition of generative engine optimization (GEO): improving how often and how favorably AI engines like ChatGPT and Perplexity mention a brand in answers.
- [Answer Engine Optimization (AEO)](https://brandflare.io/learn/glossary/answer-engine-optimization): Definition of answer engine optimization (AEO), how it relates to GEO and SEO, and why optimizing for direct answers differs from optimizing for rankings.
- [AI Visibility](https://brandflare.io/learn/glossary/ai-visibility): AI visibility is the degree to which AI engines mention, recommend, and accurately describe a brand. Definition, why it matters, and how it's measured.
- [Flare Score](https://brandflare.io/learn/glossary/flare-score): The Flare score is brandflare's 0–100 headline measure of how AI engines present a brand, built from five factors: visibility, prominence, accuracy, consistency and sentiment.
- [AI Visibility Score](https://brandflare.io/learn/glossary/ai-visibility-score): An AI Visibility Score condenses how often AI engines mention a brand on category-relevant prompts into a single 0–100 number. What goes into one, and how to read it.
- [Share of Voice (SOV) in AI Answers](https://brandflare.io/learn/glossary/share-of-voice): Share of voice in AI answers: the percentage of brand mentions in a category that go to your brand versus competitors. Definition and calculation.
- [Mention Rate](https://brandflare.io/learn/glossary/mention-rate): Mention rate is the share of AI answers to a tracked prompt set that name a given brand. Definition, formula, and what a good mention rate looks like.
- [Citation (AI Search)](https://brandflare.io/learn/glossary/citation): In AI search, a citation is a source link an engine attaches to a claim in its answer. Why citations matter for GEO and how engines choose them.
- [Citation Rate](https://brandflare.io/learn/glossary/citation-rate): Citation rate measures how often a domain is used as a cited source in AI answers. Definition and how it differs from mention rate.
- [AI Search](https://brandflare.io/learn/glossary/ai-search): AI search replaces ranked links with a generated answer. What counts as AI search, the major engines, and how it changes brand discovery.
- [Answer Engine](https://brandflare.io/learn/glossary/answer-engine): An answer engine responds to queries with a single synthesized answer instead of links. Definition and examples: ChatGPT, Perplexity, Google Search.
- [Google Search Overviews](https://brandflare.io/learn/glossary/ai-overviews): Google Search Overviews are AI-generated summaries shown above traditional results. How they work, how brands appear in them, and their impact on clicks.
- [Large Language Model (LLM)](https://brandflare.io/learn/glossary/large-language-model): A large language model (LLM) is a neural network trained on vast text corpora to generate language. What LLMs are and why they matter for marketing.
- [Hallucination (AI)](https://brandflare.io/learn/glossary/hallucination): An AI hallucination is a confident, fluent statement that is factually wrong. Why LLMs hallucinate about brands and how to catch it happening.
- [Grounding](https://brandflare.io/learn/glossary/grounding): Grounding ties an AI model's answer to retrieved, verifiable sources instead of memory alone. Definition and why grounded engines favor citable content.
- [Retrieval-Augmented Generation (RAG)](https://brandflare.io/learn/glossary/retrieval-augmented-generation): RAG lets an AI engine search live sources and write its answer from what it finds. Definition, and why RAG makes web content matter again.
- [llms.txt](https://brandflare.io/learn/glossary/llms-txt): llms.txt is a proposed standard file that gives AI crawlers a curated, markdown map of your site's most important content. What it is and whether to add one.
- [AI Crawler](https://brandflare.io/learn/glossary/ai-crawler): AI crawlers like GPTBot, ClaudeBot, and PerplexityBot fetch web content for training and live answers. Who they are and how to manage their access.
- [Training Data](https://brandflare.io/learn/glossary/training-data): Training data is the text corpus an LLM learns from. What's in it, why it decides which brands a model 'knows', and how to influence your footprint.
- [Knowledge Cutoff](https://brandflare.io/learn/glossary/knowledge-cutoff): A model's knowledge cutoff is the date its training data ends. Why AI engines describe outdated versions of brands, and how retrieval bypasses the cutoff.
- [Prompt](https://brandflare.io/learn/glossary/prompt): A prompt is the input a user gives an AI engine. In GEO, prompts are the queries you track — the AI era's keywords. Definition and examples.
- [Prompt Tracking](https://brandflare.io/learn/glossary/prompt-tracking): Prompt tracking re-runs a fixed panel of prompts against AI engines on a schedule to measure brand visibility over time. How it works and why sampling matters.
- [LLM-as-Judge](https://brandflare.io/learn/glossary/llm-as-judge): LLM-as-judge uses a strong language model to evaluate other AI outputs at scale — scoring mentions, sentiment, and factual accuracy. Definition and uses in GEO.
- [Structured Data](https://brandflare.io/learn/glossary/structured-data): Structured data is machine-readable markup (usually Schema.org JSON-LD) that states a page's facts explicitly. Why it matters for AI engines and GEO.
- [Schema Markup](https://brandflare.io/learn/glossary/schema-markup): Schema markup applies Schema.org vocabulary to describe entities on a page. The types that matter most for AI visibility: Organization, Product, FAQPage.
- [Entity SEO](https://brandflare.io/learn/glossary/entity-seo): Entity SEO optimizes for things, not strings: making your brand an unambiguous, well-connected entity that machines can recognize across the web.
- [Knowledge Graph](https://brandflare.io/learn/glossary/knowledge-graph): A knowledge graph stores entities and their relationships as structured facts. How Google's Knowledge Graph and Wikidata shape what AI says about brands.
- [E-E-A-T](https://brandflare.io/learn/glossary/e-e-a-t): E-E-A-T (experience, expertise, authoritativeness, trustworthiness) is Google's quality framework — and a useful proxy for what AI engines cite.
- [Zero-Click Search](https://brandflare.io/learn/glossary/zero-click-search): A zero-click search ends without a website visit because the answer appears in the results page or AI answer itself. Implications for brand strategy.
- [Brand Mention](https://brandflare.io/learn/glossary/brand-mention): A brand mention is any instance of an AI answer naming a brand. Types of mentions, why prominence and framing matter, and how mentions are counted.
- [Brand Sentiment (AI Answers)](https://brandflare.io/learn/glossary/brand-sentiment): Brand sentiment in AI answers: whether engines frame a brand positively, neutrally, or with caveats. Why framing can matter more than frequency.
- [Competitor Gap (AI Visibility)](https://brandflare.io/learn/glossary/competitor-gap): The competitor gap is the difference between your AI visibility and a rival's on the same prompts. How to read gap trends and act on them.
- [Digital PR](https://brandflare.io/learn/glossary/digital-pr): Digital PR earns coverage and citations on authoritative third-party sites. Why it's among the highest-leverage GEO tactics: LLMs learn from what others write.
- [Query Fan-Out](https://brandflare.io/learn/glossary/query-fan-out): Query fan-out is when an AI engine expands one user question into many sub-queries before answering. Why it multiplies the surfaces a brand can win.
- [Embedding](https://brandflare.io/learn/glossary/embedding): An embedding is a numeric vector representing meaning, letting AI systems compare text by similarity. Definition and role in retrieval and AI search.
- [Vector Search](https://brandflare.io/learn/glossary/vector-search): Vector search retrieves content by semantic similarity of embeddings rather than keyword matching. How it changes what 'relevant' means for content.
- [Context Window](https://brandflare.io/learn/glossary/context-window): The context window is how much text an LLM can consider at once. Why it shapes which retrieved sources actually make it into an AI answer.
- [Fine-Tuning](https://brandflare.io/learn/glossary/fine-tuning): Fine-tuning further trains a base model on narrower data to shape its behavior. Definition, and how it differs from pretraining and retrieval.
- [Inference](https://brandflare.io/learn/glossary/inference): Inference is a trained model generating output at answer time. What happens between a user's prompt and the AI answer that names (or skips) your brand.
- [Conversational Search](https://brandflare.io/learn/glossary/conversational-search): Conversational search spreads one information need across a multi-turn dialogue. Why follow-up questions change how brands are discovered and compared.
- [Sweep (AI Visibility Tracking)](https://brandflare.io/learn/glossary/sweep): A sweep is one complete measurement pass: every tracked prompt run against every engine, answers scored and stored. Why scheduled sweeps beat spot checks.

## FAQ

- [How do I get my brand mentioned by ChatGPT?](https://brandflare.io/learn/faq/how-do-i-get-my-brand-mentioned-by-chatgpt): There's no submission form — ChatGPT mentions brands it learned from training data and live web results. The levers: authoritative coverage, citable content, consistent entity facts.
- [Why doesn't ChatGPT recommend my brand?](https://brandflare.io/learn/faq/why-doesnt-chatgpt-recommend-my-brand): Common causes: thin third-party footprint, ambiguous entity, stronger competitors in training data, or answers grounded in sources that omit you. Diagnosis steps inside.
- [How often do AI models update their knowledge?](https://brandflare.io/learn/faq/how-often-do-ai-models-update-their-knowledge): Base models retrain every several months to a year, but live retrieval means AI answers can reflect content published days ago. What updates when, engine by engine.
- [Can I correct what AI says about my brand?](https://brandflare.io/learn/faq/can-i-correct-what-ai-says-about-my-brand): There's no edit button, but wrong AI claims are fixable: publish authoritative corrections, update the sources engines cite, and monitor until the claim disappears.
- [Does SEO still matter for AI search?](https://brandflare.io/learn/faq/does-seo-still-matter-for-ai-search): Yes — AI engines retrieve from search indexes, so crawlability, authority, and rankings feed AI answers. But SEO alone doesn't guarantee you're named in them.
- [What is a good AI visibility score?](https://brandflare.io/learn/faq/what-is-a-good-ai-visibility-score): Scores only mean something against your category: leaders often exceed 70 while challengers sit below 30. Benchmarks, ranges, and what to aim for first.
- [How long does GEO take to work?](https://brandflare.io/learn/faq/how-long-does-geo-take-to-work): Retrieval-grounded answers can shift in weeks; training-data footprint takes quarters. A realistic timeline for AI visibility gains, tactic by tactic.
- [Which AI engines should I track?](https://brandflare.io/learn/faq/which-ai-engines-should-i-track): Start with ChatGPT, Gemini, Google Search, Perplexity, and Claude — they span the training-data and retrieval architectures that drive most AI brand discovery.
- [Do AI chatbots crawl my website?](https://brandflare.io/learn/faq/do-ai-chatbots-crawl-my-website): Almost certainly. GPTBot, ClaudeBot, PerplexityBot and others fetch pages for training and live answers. How to check your logs and decide on access.
- [What is llms.txt and do I need it?](https://brandflare.io/learn/faq/what-is-llms-txt-and-do-i-need-it): llms.txt is a proposed markdown index of your site for AI crawlers. Adoption by engines is still limited — here's what it does, and whether it's worth adding.
- [How do AI models know about my brand?](https://brandflare.io/learn/faq/how-do-ai-models-know-about-my-brand): Two paths: what the model memorized from training data, and what it retrieves from the live web at answer time. What feeds each, and which you can influence fastest.
- [How do I track competitors in AI answers?](https://brandflare.io/learn/faq/how-do-i-track-competitors-in-ai-answers): Run the same prompt panel for every competitor, compare mention rates and share of voice, and watch the gap trend. The method, and what to do with the data.

## Product docs

- [What is brandflare?](https://brandflare.io/learn/docs/what-is-brandflare): brandflare is an AI visibility platform: it tracks how ChatGPT, Gemini, Google Search, Perplexity and Claude present your brand, and shows what to do about it.
- [Getting Started with brandflare](https://brandflare.io/learn/docs/getting-started): From a free account to a tracked brand: see where your brand stands in the index, add it, let the first check run, and verify its fact sheet.
- [How the Flare Score Works](https://brandflare.io/learn/docs/flare-score-methodology): The Flare score is one number from 0 to 100 for how AI engines present a brand, built from five factors: visibility, prominence, accuracy, consistency and sentiment. What each measures, the bands, and how to read it.
- [How Visibility Is Measured](https://brandflare.io/learn/docs/ai-visibility-score-methodology): How brandflare measures how often AI names your brand: your questions, five engines, mention detection by an LLM judge, and the numbers on your overview.
- [How Checks Work](https://brandflare.io/learn/docs/how-sweeps-work): A check puts every tracked question to ChatGPT, Gemini, Google Search, Perplexity and Claude, then judges each answer. The weekly schedule, what happens in a check, and how answers become numbers.
- [Questions & Prompts](https://brandflare.io/learn/docs/prompts-and-the-prompt-matrix): Your questions define what brandflare measures. How they're written, topics, the question-by-engine grid, and how to read where you're named and where you're not.
- [Competitors](https://brandflare.io/learn/docs/competitor-tracking): Competitors are measured on the same questions and the same answers as your brand: who AI names, share of voice over time, and a head-to-head in plain words.
- [Answer Accuracy](https://brandflare.io/learn/docs/accuracy-monitoring-and-flags): brandflare checks every AI answer against your brand's fact sheet and raises false claims by severity, so you find hallucinations before customers do.
- [Brand Narrative](https://brandflare.io/learn/docs/brand-narrative): The themes in how AI describes your brand, positive, neutral and negative, with how often each comes up and the quotes behind it, engine by engine.
- [Sources](https://brandflare.io/learn/docs/sources-and-citations): The websites AI cites in your category: the owned, earned, social and paid mix, the pages of your own site AI reads, and the outreach opportunities worth chasing.
- [AI Crawlers](https://brandflare.io/learn/docs/ai-crawlers): See which AI crawlers visit your website, whether they're answering questions now or training future models, and which pages they read most. How to connect your site.
- [Recommendations](https://brandflare.io/learn/docs/recommendations): What to do next for each brand, most important first: content, sources, positioning and technical recommendations, each with a reason and numbered steps.
- [Markets](https://brandflare.io/learn/docs/markets): AI answers differently depending on where the person asking is. Set a brand's market and every check is asked as a customer in that country.
- [Alerts](https://brandflare.io/learn/docs/alerts): Emails when something moves: a false claim, a rival passing you, an engine dropping you. Set per person and per brand, from everything to a weekly summary.
- [Export Report](https://brandflare.io/learn/docs/export-report): A full audit of how AI answers questions about a brand, as a PDF you can send on. On Agency, in the brand's own colours, with an editable PowerPoint.
- [Teams and Roles](https://brandflare.io/learn/docs/teams-and-roles): Invite colleagues into your workspace and give each a role: admins manage brands, people and billing; editors work on brands; viewers see everything and change nothing.
- [Managing Brands](https://brandflare.io/learn/docs/managing-brands): Adding a brand, giving it your own banner and logo, archiving and restoring it, and tracking more brands than your plan includes.
- [Plans and Limits](https://brandflare.io/learn/docs/plans-and-limits): Free, Starter, Plus, Pro and Agency compared: brands, questions, competitors, seats, alerts, analysis sections and reports. Which plan fits.
- [Free Trial and Billing](https://brandflare.io/learn/docs/free-trial-and-billing): How the 14-day Pro trial works, how paying works, what's under Plans & billing, changing plan, and what happens if a payment fails or a subscription ends.
- [Support](https://brandflare.io/learn/docs/support): Raise a request inside brandflare and keep the whole conversation on its page: topics, replies, who sees what, and when requests close.

## Quoted (the blog)

Research and field notes ([RSS](https://brandflare.io/blog/rss.xml); each post is also served as markdown at its URL + `.md`):

- [We ran our own GEO checklist on this blog. Here's everything we shipped](https://brandflare.io/blog/how-we-geo-our-own-blog.md): Markdown twins, llms.txt, answer-first structure, and receipts from real sweeps — the exact machine-readable surfaces we added to this blog, and why each one earns its place.
- [Your client just asked what ChatGPT says about them. Here's the framework](https://brandflare.io/blog/what-does-chatgpt-say-about-your-clients.md): A four-step answer framework for the question every agency is getting this year — including what to check before the meeting and what to promise after it.
- [GEO vs SEO: what actually transfers (and what quietly doesn't)](https://brandflare.io/blog/geo-vs-seo-what-actually-transfers.md): Your SEO instincts are mostly an asset in generative engine optimization — but three of them will steer you wrong. A field map for marketers making the jump.
- [How ChatGPT, Gemini, Perplexity, and Claude decide which brands to name](https://brandflare.io/blog/how-the-four-engines-choose-brands.md): The four major engines don't behave alike. A field guide to each one's retrieval habits, memory weight, and what that means for where you spend effort.
- [The comparison-post economy: why listicles you didn't write decide your AI visibility](https://brandflare.io/blog/the-comparison-post-economy.md): For 'best X' questions, engines lean on third-party comparison posts and review roundups. Here's how that economy works and how to earn your way into it.
- [Share of answer is the new share of voice](https://brandflare.io/blog/share-of-answer-is-the-new-share-of-voice.md): Marketers have measured share of voice for decades. AI answers need the same discipline: a consistent metric, tracked over time, across all four engines. Here's how to build it.
- [An engine is wrong about your brand. Here's the correction workflow](https://brandflare.io/blog/correcting-what-ai-gets-wrong.md): Stale pricing, dead products, someone else's lawsuit — AI answers get facts wrong in predictable ways. A diagnosis-first workflow for actually fixing them.
- [Reporting GEO to clients: numbers that survive the boardroom](https://brandflare.io/blog/reporting-geo-to-clients.md): GEO reporting done badly is screenshots and vibes. Done well, it's a baseline, a trend, and receipts. A reporting structure agencies can put in front of skeptical clients.
- [llms.txt, structured data, and what AI crawlers actually read on your site](https://brandflare.io/blog/what-ai-crawlers-actually-read.md): Separating the technical GEO work that demonstrably matters from the rituals. What each engine's crawler reads, what structured data does, and where llms.txt honestly stands.