Question 1

What is GEO (Generative Engine Optimization)?

Accepted Answer

GEO stands for Generative Engine Optimization. It is the practice of making a brand or website more likely to be cited by AI answer engines such as ChatGPT, Perplexity, Gemini, and Claude when users ask questions in those platforms. Unlike traditional SEO, which optimizes for ranked link lists in Google search, GEO focuses on the signals that tend to make an AI include a brand in a generated answer: structured data, authoritative content, schema markup, clear brand entity consistency, and AI crawler permissions.

Question 2

How does Lumind measure AI visibility?

Accepted Answer

Lumind sends a set of real prompts to each supported AI answer engine (ChatGPT, Perplexity, Gemini, Claude, Bing Copilot) and analyzes the responses to determine whether a brand is cited, how prominently, and with what source attribution. The result is a scored report (0-100) with per-engine breakdowns, competitor benchmarks, and a prioritized list of fixes ordered by expected citation lift.

Question 3

What is an AI answer engine?

Accepted Answer

An AI answer engine is a system that responds to user questions with a synthesized answer rather than a ranked list of links. Examples include ChatGPT (OpenAI), Perplexity, Google Gemini, Anthropic Claude, and Bing Copilot. These systems pull from indexed web content and structured data to generate answers. Brands that are not cited by these engines are invisible to the growing share of users who research products and services through AI instead of traditional search.

Question 4

What is llms.txt and does it help AI visibility?

Accepted Answer

llms.txt is a plain-text file placed at the root of a domain (yourdomain.com/llms.txt) that describes the site's content and services in a format optimized for language model ingestion. Adoption is still partial: Anthropic and Perplexity have publicly confirmed they read it in retrieval workflows, while Google has stated it does not use it. Its clearest, confirmed value today is making documentation and service catalogs easier for AI agents and coding tools to consume. It costs nothing to add and is one signal among several, not a standalone fix.

Question 5

What is the difference between SEO and GEO?

Accepted Answer

SEO (Search Engine Optimization) optimizes a page to rank in Google's link-based results. GEO (Generative Engine Optimization) optimizes a brand to be cited in AI-generated answers on platforms like ChatGPT, Perplexity, and Gemini. The two share some foundations (authoritative content, structured data, fast pages) but diverge on several points: GEO emphasizes entity clarity, AI-readable schema, AI crawler permissions, and prompt-level answer completeness that traditional SEO does not address. A high Google ranking does not guarantee AI citation, and vice versa.

Question 6

How long does it take to improve AI citation after fixing GEO signals?

Accepted Answer

AI answer engines update their knowledge at different cadences. Perplexity and Bing Copilot re-index on a rolling basis, with high-authority pages typically revisited every few weeks and meaningful updates often triggering faster recrawls. ChatGPT can surface recent content through its Bing-grounded browsing layer, while its base model updates on a training cycle measured in months. Gemini retrieves from Google's live index. Improvement in citation rate is therefore gradual rather than instant, and the actual change is best confirmed by a post-fix re-scan.

Question 7

Can AI agents use Lumind programmatically?

Accepted Answer

Yes. Lumind exposes a REST API (OpenAPI spec at lumind.io/v1/openapi.json) and an MCP server (lumind-mcp package) so that autonomous AI agents can run scans and retrieve reports without human intervention. A human owner funds LUM credits and issues the agent a key with a spend cap. The agent then calls lumind_run_scan and lumind_get_report within that cap. This makes Lumind a callable measurement primitive for any AI workflow or orchestration system.