Feature names and what other tools call them
Every Scorra feature next to the names the AI visibility market uses for the same thing
Why this page exists
AI visibility tools describe the same things in different words. What one tool calls a citation gap, another calls source gaps or outreach targets. If you are comparing Scorra with another tool, this table maps our names to the ones you may already know.
| Scorra name | What it does | Also called |
|---|---|---|
| Visibility | How often assistants name the brand when buyers ask about the category. | AI visibility, AI search visibility, LLM visibility, brand mention rate, mention frequency, share of answers |
| Share of voice | The brand's share of all brand mentions in the category's answers. | AI share of voice, SoV, share of mentions, competitive share |
| Position | Where the brand lands in the answer, with the distribution: first, top three, top ten. | average position, AI rank tracking, ranking in AI answers, position distribution |
| Sentiment | How warmly the answers describe the brand, with the sentences behind the score. | sentiment analysis, brand perception, brand sentiment in AI, tone analysis |
| Brand strength | One score combining visibility, position and sentiment. | AI brand score, visibility score, composite brand score |
| Competitors | Every brand named in the answers, discovered automatically and ranked day by day. | competitor benchmarking, competitive intelligence, competitor tracking, brand discovery |
| What changed | Answers that stopped or started naming the brand, with yesterday's and today's answer side by side. | change tracking, answer history, answer diff, historical answer comparison |
| What AI knows | Asks each assistant about the brand directly and scores how much of what the brand offers it actually knows, flagging when it gets the offer wrong. | brand knowledge check, brand accuracy check, how AI describes your brand, AI brand facts |
| Sources | Every domain and page cited in every answer, with its share of citations and the answers that depend on it. | citation analytics, citation tracking, source tracking, cited sources, citation intelligence, URL-level citations, domain citations |
| Source categories and content types | Each domain classified as owned, competitor, earned, aggregated, industry, social or other; each page as listicle, comparison, guide, review and so on. | source classification, source types, domain types, page types |
| Read often, never you | Sources cited again and again in answers that do not name the brand, measured on the answer rather than by scanning the page. | citation gap, source gap, competitor citation gap, gap analysis, outreach targets |
| Prompt impact | Which tracked questions and assistants pull from one specific source. | source influence, source impact, source-to-prompt mapping |
| Where to buy | Cited domains where a publication can be bought through a partner, with the price. | placement opportunities, sponsored placements, PR targets, link building opportunities |
| Query fan-out | The sub-queries an assistant ran before answering, where the assistant exposes them. | fan-out queries, sub-queries, search queries behind AI answers |
| Prompts and topics | The buyer questions measured every day, grouped into topics, with suggestions generated from the brand's own site. | tracked prompts, prompt research, prompt suggestions, prompt discovery, topic clusters, prompt tags |
| Markets | Each project measures one brand in one market, chosen from 49 countries and 42 languages; several markets run as several projects. | multi-region tracking, multi-country tracking, geo-targeting, local market tracking |
| GEO audit | Twenty-two checks of the brand's site in four groups: availability for AI crawlers, structure, citability and authority. | AI readiness audit, AEO audit, technical GEO audit, AI crawlability check, robots.txt check for AI bots |
| Site crawl | Every page of the brand's site scored for how easily an assistant can read and quote it. | page-level AI readiness, content audit, AI readiness score |
| Content map | The brand's pages next to the topics buyers research: covered, written but never cited, and missing. | content gap analysis, topic coverage, content opportunities |
| Agent | An AI agent that reads the project's measurements and writes briefs, drafts, page rewrites and outreach emails, ending with a to-do table. | AI agent, AI marketer, AI copilot, actions and recommendations, content generation, outreach drafts |
| Content Studio (beta) | An editor for the agent's texts and the brand's own pages, with an AI-readiness score, AI actions and fact checking. | content optimizer, AI content editor, GEO content optimization, content scoring |
| Alerts | Email when visibility drops sharply or a new competitor appears. | email alerts, monitoring alerts, notifications |
| Exports and Looker Studio | CSV exports, PDF and Word reports, and a Looker Studio connector. | Looker Studio connector, Google Data Studio connector, BI dashboards, CSV export, client reporting |
| MCP server and API | Typed tools for Claude, ChatGPT, Cursor and other MCP clients, and the same tools over HTTP. | MCP server, Model Context Protocol, REST API, AI assistant integration |
| Agency account | Client brands as sub-accounts on one subscription, each client with its own login. | client sub-accounts, multi-client management, client logins, agency workspace |
What we do not have under any name
A database of real user prompt volumes, analysis of AI crawler traffic from server logs, and attribution of website traffic or revenue to AI assistants. If you see those in another tool's feature list, there is no Scorra equivalent today.