Active backlink
A third-party page that currently cites the brand in its content. Different from a directory listing or a stale link. Active backlinks compound because answer engines re-crawl them and pull citations into synthesized answers.
28 plain-English definitions for the terms a founder, growth lead, or AEO operator runs into in 2026. Encoded as schema.org DefinedTermSet so answer engines can quote any single definition with attribution.
A third-party page that currently cites the brand in its content. Different from a directory listing or a stale link. Active backlinks compound because answer engines re-crawl them and pull citations into synthesized answers.
A structured-data artifact published on a brand domain to make the brand machine-readable for AI engines. The core AEO asset bundle Mentioned AI generates includes llms.txt, llms-full.txt, Organization JSON-LD, FAQPage JSON-LD, WebSite JSON-LD, and BreadcrumbList JSON-LD.
A 0-100 score that ranks open citation gaps by how much fixing them would lift the aggregate Mention Score. Composite of historical citation rate the prompt drives, competitor strength on the same prompt, and conversion correlation for prompts of that shape.
A backlink from a third-party page that AI answer engines actually pull citations from, not just a page that ranks on Google. Calibration means the page has been verified to feed engine citations on category-defining prompts. Different signal than traditional backlink graphs measure.
The practice of structuring content so that AI answer engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overview) lift it verbatim or near-verbatim into their synthesized answers. AEO replaces a chunk of the traditional SEO funnel because buyers now ask the engine first and only visit the homepage after.
A self-contained 60-120 word paragraph written in the shape an LLM lifts into a synthesized answer. Includes a definition sentence, one specific number or named entity, and one factual claim. Tested against citation extraction patterns from ChatGPT, Claude, Perplexity, and Gemini.
A content-distribution motion where the BRAND is the authority and content is the proof. Grounded in patterns from Notion, Linear, Figma, Gong, and HubSpot, all of whom built category leadership through institutional editorial cadence rather than founder personality.
A specific natural-language query a buyer types into ChatGPT or Claude during the research phase of a purchase. Different from a SEO keyword. Buyer-questions are full sentences with intent ("which AEO platform handles agencies at 5-20 brands") not stripped keyword strings.
A short tag attached to every score event explaining the mechanism behind the move. Five cause codes cover most events. Used by the Citation-Lift drafter to pick the right fix shape for the gap.
The percentage of tracked engine answers for a given prompt that cite the brand. A citation rate of 60 means 60% of the cells in the engine matrix for that prompt mention the brand by name.
A paste-ready content block Mentioned AI drafts to recover a specific lost citation. Each suggestion includes the prompt that surfaced the gap, the engine that cited a competitor instead, and the estimated Mention Score lift. Designed to ship into any CMS in under ten minutes.
A go-to-market motion where the company uses its own product in public as the headline case study. Cursor used Cursor to build Cursor. Mentioned AI uses Mentioned AI on the Mentioned AI brand and publishes the daily score at /mentioned/score. The product is the content; the content is the proof; the proof is the marketing.
A grid of cells where each row is a tracked prompt and each column is a tracked engine. A cell turns green when the engine cited the brand in its answer to the prompt. Provides a per-engine view of where citation is strong and weak.
The process of binding a brand name to a specific entity (URL, organization, knowledge graph node) so AI engines do not confuse it with a namesake. Implemented via the JSON-LD sameAs field listing every authoritative profile (LinkedIn, Crunchbase, G2, etc.) the brand controls.
The framework Mentioned AI uses to break the aggregate Mention Score into five disciplines: Discoverability, Authority, Voice, Reach, Community Growth. Tells the founder which pillar to invest in this week rather than chasing an aggregate vanity number.
The overnight pass Mentioned AI runs after the daily tracker that explains why each score moved. Each score event gets a cause code (we_dropped, we_weakened, competitor_new, competitor_strengthened, content_stale) so the founder knows what to act on.
A content-distribution motion where the founder IS the brand and the brand IS the daily story shipped in public. Grounded in patterns from Pieter Levels, Marc Lou, Justin Welsh, and Tony Dinh, all of whom scaled solo products to seven figures through daily public-shipping cadence.
Same as AEO. GEO is the alternate term coined by Princeton and Allen Institute researchers for the same practice. The industry has not settled on one acronym. Mentioned AI uses AEO because it is the most common phrasing in 2026 buyer search queries.
A 0-100 platform-algorithm-aware score Mentioned AI computes for every drafted social post. Sits alongside the Citation Score: Citation says will engines quote this, Growth says will the X or LinkedIn algorithm push this to many eyeballs. Composite of hook quality, format fit, dwell rhythm, engagement close, and algorithm safety.
A canonical record of an entity (a brand, person, product) in a search engine or AI vendor knowledge graph. Once a brand is bound to a node via sameAs and structured data, the engine can serve the same entity across every query that mentions it.
A third synonym for AEO and GEO. Some teams say LLM SEO to anchor the practice to the older SEO category; others say LLMO. All four names point at the same craft.
A longer companion to llms.txt that includes the full extracted page copy as clean Markdown. Used by retrieval pipelines that want the full context rather than just the entity card.
A plain-text file convention served at the root of a domain (and optionally per-subpath) that summarizes the brand and links to key resources for AI assistants. Modeled on robots.txt and humans.txt. Adopted as a soft standard by 2025 across answer engine retrieval pipelines.
A composite 0-100 score that represents how often a brand is cited by the five tracked engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overview), weighted by the relative buyer-research importance of each engine. The five-pillar breakdown sits underneath the aggregate.
The five-step daily cycle Mentioned AI runs: Track (query the engines), Forensics (explain score moves), Citation-Lift (draft the fix), Ship (paste into the CMS), Verify (re-track tomorrow). The loop closes the gap from a detected gap to a verified lift in under 48 hours.
A complete ready-to-implement outreach asset Mentioned AI generates per backlink opportunity: cold email subject and body, LinkedIn DM variant, X reply variant, the actual paragraph the target page could publish citing the brand, and best-guess contact information for the author.
A third-party page already cited by an AI engine for a prompt the brand also answers, where the page currently cites a competitor instead. Outreach to the page author can convert the opportunity into an active backlink.
The percentage of engine answers across a category prompt set that cite the brand. Replaces the traditional share-of-voice metric SEO teams pulled from Ahrefs or Semrush, but measured against AI answer engines instead of Google SERP rankings.
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