Your buyers are researching in ChatGPT, Gemini, and Google AI Mode. When they ask about your category, your competitors appear. You do not. SignalMint finds those gaps across Claude, ChatGPT, and Gemini, scores them by urgency 0–100, and generates the exact content brief needed to close them.
Traditional SEO was measurable. You could check your Google ranking for a given keyword, see whether a competitor outranked you, and write content to close the gap. The feedback loop was slow but clear.
AI search broke that loop. There are no ranking positions in ChatGPT. There is no keyword difficulty score for Perplexity. When a buyer asks an AI engine "what is the best enterprise data security platform for B2B SaaS companies with 500 employees," the AI produces an answer — and either your brand is in it or it is not. There is no page two.
The category of tool that should solve this — GEO monitoring — exists. Profound, Otterly, Peec, and a dozen other platforms will tell you how often your brand is cited. They will show you a citation rate trend. They will compare you to competitors on an AI share-of-voice chart.
And then they stop. The gap is identified. The report is delivered. The content that would close the gap still needs to be briefed, written, reviewed, and published — manually, on the same timeline as every other content request in the backlog.
A GEO citation gap is a query — a question a buyer asks an AI search engine — where your brand is absent from the AI-generated answer, particularly when a competitor is present. SignalMint detects these gaps across Claude, ChatGPT, and Gemini — and gaps vary significantly by engine, so a brand that is well-cited by one may be invisible on another for the same query.
Not all citation gaps are equally urgent. A gap on an awareness-stage query ("what is enterprise data security") costs you thought leadership. A gap on a competitive comparison query ("Acme Corp vs CompetitorA") costs you deals. SignalMint scores every gap on a 0–100 urgency scale that weights buying stage, query priority, and competitive exposure to tell you exactly where to act first.
SignalMint builds a query set from your brand profile — category, ICP, and competitor list — spanning four buying stages: awareness, consideration, evaluation, and competitive comparison. Every query is run across Claude, ChatGPT, and Gemini in parallel. Each response is analysed for brand mentions, competitor mentions, and sentiment context around your brand name.
Every query where your brand is absent becomes a gap candidate. The gap detector scores each one using a weighted urgency formula: priority weight (high-priority queries score 40 points), stage weight (late-stage and competitive gaps score highest at 18–20 points), competitive gap bonus (30 additional points if a competitor is cited without you), and multi-engine penalty (5 additional points per engine that missed you). The output is a ranked list of gaps with full context: which engines missed you, which competitors appeared, and what the best response available currently says.
For each top-ranked gap, Claude generates a structured content brief: a BLUF answer (2–3 sentences the AI can cite directly), an FAQ block with 5–8 related questions and 80-word answers, FAQPage JSON-LD schema markup, and Article schema with your brand as publisher. Briefs are saved to your SignalMint dashboard ready to paste into any CMS. The daily monitor re-runs your queries and tracks your citation rate over time.
Here is an example gap report output from a B2B cybersecurity company running SignalMint for the first time. All brand names are anonymised.
| Query | Stage | Missed on | Competitors cited | Score |
|---|---|---|---|---|
| Acme Corp vs CompetitorA | Competitive | ChatGPT · Gemini | CompetitorA | 87 |
| top enterprise security platforms 2026 | Consideration | ChatGPT · Gemini · Claude | CompetitorA · CompetitorB | 82 |
| alternatives to CompetitorB | Competitive | Gemini · Claude | CompetitorA | 74 |
| best security software for B2B SaaS | Consideration | ChatGPT | CompetitorA · CompetitorC | 68 |
| Acme Corp pricing | Evaluation | Gemini | — | 62 |
| what is enterprise data security | Awareness | Claude | CompetitorB | 41 |
AI engines do not cite content the same way Google ranks it. A long-form pillar page with 3,000 words and strong domain authority may rank well in Google while being completely ignored by Perplexity. The structural requirements are different.
To be cited by AI engines, content needs to be:
SignalMint's brief generator produces content that meets all four criteria by design. The prompt framework explicitly instructs Claude to prioritise specificity, structure the BLUF as the first element, generate question-format FAQs, and include complete JSON-LD schema.
The GEO monitoring category has attracted significant investment — Profound alone has raised over $155 million. The tools built in this category are excellent at measurement. Where they stop is action.
SignalMint's differentiator is not the monitoring layer — it is the workflow layer that follows. Every other tool delivers a report. SignalMint delivers a draft in your CMS, ready for a 15-minute human review before publish. The time from "gap identified" to "content live" drops from weeks to hours.
SignalMint's differentiator is the workflow layer that follows detection. Every brief includes the urgency score, which queries were missed, and which competitors appeared — giving the content editor full context before they publish. The time from "gap identified" to "content ready for review" drops from weeks to hours.
SignalMint is open source, MIT licensed, and available on GitHub. To run your first gap detection:
npm install.env.example to .env and add your Anthropic API key plus your company profile (name, category, ICP, competitor list)node tests/test.js to verify the logic — no API keys required for testsnode src/index.js to execute the full pipelineThe first full run across 18 high-priority queries on a single engine costs approximately $0.50–1.20 in API credits. The gap report and up to three content briefs are generated and saved to the ./output/ directory. If you have a Contentful space, add your management token to push briefs directly as draft entries.
What is a GEO citation gap?
A GEO citation gap is a query — a question a buyer asks an AI search engine — where your brand is absent from the generated answer, particularly when a competitor is present. Citation gaps exist across all major AI engines and vary significantly between them. The most damaging gaps occur in competitive and late-stage buying queries, where a buyer is directly comparing vendors or asking for recommendations. SignalMint identifies, scores, and generates corrective content for these gaps automatically.
How do I get my brand cited in ChatGPT and Perplexity?
To get cited in ChatGPT and Perplexity, publish content that directly answers the questions buyers ask at each stage of their journey. The most effective format is a BLUF answer (2–3 sentences the AI can extract verbatim) followed by a FAQ block with 5–8 related questions, and FAQPage JSON-LD schema markup. Publishing this content on your domain and notifying crawlers via IndexNow on publication accelerates AI crawler discovery. SignalMint automates the identification of which queries need this content and generates the brief automatically.
How is SignalMint different from Profound or Otterly?
SignalMint differs in one critical way: it does not stop at monitoring. Profound, Otterly, and other GEO tools identify where you are invisible and deliver a report. SignalMint takes the next step automatically — generating the specific content needed to close each gap and pushing it to your CMS as a draft for human review. The closed loop from gap detected to draft published to citation rate measured after publish is what no other tool provides today.
How does SignalMint score citation gaps?
SignalMint scores each citation gap from 0 to 100 using a weighted urgency formula. Priority weight contributes up to 40 points based on whether the query is high, medium, or low priority. Stage weight contributes up to 20 points, with late-stage and competitive queries scoring highest. A competitive gap bonus adds 30 points when a competitor is cited without you. Multi-engine penalties add 5 points per additional engine that missed your brand. Gaps scoring 70 or above are classified as critical and are briefed first.
What does SignalMint cost to run?
SignalMint is free to try at signalmint.flowmatos.com — no credit card required. The app probes Claude, ChatGPT, and Gemini with your buyer queries and generates content briefs for the top gaps. API costs for the underlying models are included; there are no usage fees during beta.
Open source, MIT licensed, running in under 10 minutes. Or view the product page for the managed version.
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