Part of Content Studio
Content Boost
From your citation gaps to an editorial calendar with ready drafts
What are LLMs and why do they matter for your business?
LLM stands for Large Language Model. These are the artificial intelligence systems behind tools like ChatGPT, Google Gemini, Claude, and Perplexity. They work by processing enormous amounts of text to learn human language patterns, which enables them to answer questions, generate content, and hold natural conversations.
When a user asks ChatGPT "what's the best project management tool?" or asks Perplexity "which laptop should I buy for graphic design?", the LLM analyzes everything it learned from the web and selects the sources it considers most trustworthy to build its response. If your brand, product, or website doesn't have the right signals, the model simply won't include you in that answer, and your competition will take that spot.
Google AI Overviews is Google's version of this technology: instead of showing just a list of links, it now generates a direct AI-powered answer at the top of search results. This means the first result many users see is no longer a link to your site, but an AI-generated response that may or may not mention you.
In short: LLMs are the new intermediaries between your business and your potential customers. More and more people use these tools to research, compare, and decide what to buy. AuraMetrics helps you ensure that when AI answers questions about your industry, your brand is part of the answer.
What it does
Content Boost is the content-production module for editorial teams and agencies. It takes your domain's real citation gaps (the queries where AI cites others and not you), clusters them by topic and turns them into a dated editorial calendar with priorities and an estimated cost per piece. Every draft follows your persistent editorial guidelines (tone, audience, banned words, format) and is grounded in current search data, with [VERIFY] marks wherever the model lacks enough evidence. Nothing about your brand is made up. The output lands in the formats a team already uses: DOCX per piece, XLSX and CSV of the full plan (editable and re-importable) and a ZIP with everything.
Why it matters
Most AI visibility tools tell you where you lose and stop there. The real bottleneck is producing the content that closes those gaps, with editorial judgment and without inventing data. Content Boost connects diagnosis to production: the calendar comes from your domain's data, drafts follow your rules and everything ends up in files your team edits as usual. It is the difference between a report and a month of publications.
How it works
In Setup you choose the domain, weekly cadence, start date and editorial guidelines. In Topics the module reads your latest AI Visibility Gaps analysis and clusters the queries into topics weighted by opportunity. This stage is deterministic: the same gap produces the same plan. In Plan it builds the calendar with dates, one title per piece and the estimated cost before writing a line. You can move, suppress or add pieces, export to XLSX, edit in a spreadsheet and re-import. In Drafts you request each piece. It is written by a latest-generation language model with real search-result context and your guidelines included verbatim in the prompt. You pick the economy model when you want to lower cost; it is never switched silently. In Export you download DOCX with your brand header (or your agency's under white-label), FAQ as paste-ready JSON-LD and a ZIP of the batch.
- 1Setup: domain, cadence and editorial guidelines
- 2Topics: deterministic clustering of your citation gaps
- 3Plan: calendar with dates, titles and estimated cost
- 4Drafts: grounded drafts under your guidelines
- 5Export: DOCX, XLSX, CSV and ZIP
What each status means
Metrics you get
Recommended use cases
Frequently asked questions
Where do the topics come from?
From your latest AI Visibility Gaps analysis: the real queries where AI cites competitors and not you. The module needs that prior analysis of the domain.
Does the draft make up facts about my brand?
No. The prompt forbids asserting unverified facts and marks anything needing confirmation with [VERIFY]. Your editorial guidelines are included verbatim.
Can I edit the plan outside the platform?
Yes. Export to XLSX or CSV, edit dates, titles or statuses in your spreadsheet and re-import; each piece is identified by its ID.
How much does drafting cost?
Each plan shows the estimated cost before generating and each tier has a monthly cap. You can pick the economy model piece by piece.
How is it different from Content Creator?
Content Creator produces standalone pieces from trends. Content Boost is a full editorial workflow: diagnosis, calendar, guidelines, drafts and deliverables, built for teams that publish every month.
Does it work under white-label?
Yes. DOCX files carry your agency's logo and name, and the client never sees AuraMetrics.