Fix Actions Cloud
11 reviewable action drafts for improving AI Visibility. Each one uses your report evidence to generate ready-to-use output.
How it works
Other visibility tools tell you what is wrong and leave you to figure out the fix. S6S turns report evidence into concrete drafts — code, content, and strategy. Each action draft:
- Uses your brand and report data as context
- The agent researches, analyzes, and generates the output
- Results appear in the Fix Actions panel — ready to copy and use
Fix actions are available from the brand detail page under the Improve tab.
1. Generate Schema Markup
Creates JSON-LD structured data tailored to your brand. Structured data helps AI engines understand what your business is, what you offer, and how to describe you accurately.
What it generates:
- Organization schema (name, URL, logo, social profiles)
- Product schemas for each product/service
- FAQ schema from common questions
- BreadcrumbList for site navigation
How to use: Copy the generated JSON-LD code and add it to your website's <head> section. Most CMS platforms (WordPress, Shopify, Webflow) have a custom code section in settings where you can paste it.
2. Generate llms.txt
Creates an llms.txt file — a proposed standard for telling AI crawlers about your site. Similar to robots.txt but specifically for LLM training and retrieval.
What it includes:
- Brand description and positioning
- Key products and services
- Preferred citation format
- Important URLs for AI indexing
How to use: Upload the generated file to your website root at yourdomain.com/llms.txt.
3. Content Recommendations
An AI agent analyzes your website and suggests specific content changes to improve AI visibility. This goes beyond generic advice — the agent reads your actual pages and provides targeted recommendations.
Output includes:
- Specific pages to update with suggested edits
- New content topics to create
- Keyword integration suggestions
- Authority-building content strategies
4. Generate FAQ Content
Generates FAQ content from questions people actually ask about your category. Includes FAQPage schema markup for each question-answer pair.
FAQ content serves two purposes: it directly answers queries that AI engines might surface, and the FAQPage schema helps engines understand the Q&A structure of your content.
5. Monitor Reddit
Scans Reddit for mentions of your brand, your competitors, and your category keywords. Reddit is a key source for AI engines — Perplexity and ChatGPT both reference Reddit discussions heavily.
Output includes:
- Recent mentions of your brand and competitors
- Relevant subreddits and discussion threads
- Engagement opportunities (questions you could answer)
- Sentiment analysis of Reddit discussions
6. YouTube Script
Generates video scripts targeting Gemini visibility. Google heavily favors YouTube content in Gemini responses — 52% of Gemini citations reference Google properties, and YouTube is the most common.
Output includes:
- Full video script with timestamps
- Optimized title and description with keywords
- Key talking points aligned with your visibility keywords
- Call-to-action suggestions
7. X/Twitter Threads
Creates thread drafts targeting Grok visibility. Grok uses the X/Twitter firehose as a real-time data source, so active participation on X directly influences how Grok represents your brand.
Output includes:
- Multi-tweet thread drafts ready to post
- Topic selection aligned with your keywords
- Hashtag and mention suggestions
- Engagement hooks and discussion prompts
8. Gap Content
Generates content outlines for keywords where your competitors are mentioned but you are not. These are your biggest visibility gaps — topics where AI engines know about your category but not about you.
Output includes:
- Keywords with competitor mentions but no brand mentions
- Content outlines for each gap keyword
- Suggested angles and differentiators
- Priority ranking based on search volume and competition
9. Question-Shaped Headings
Drafts 8–12 question-shaped H2 headings for your key pages. AI engines match content to the questions users actually ask — headings phrased as questions make your pages easier to surface and cite.
How to use: Review the drafted headings and paste the ones you want into your pages. Nothing is changed on your site until you do.
10. Last-Updated Snippet
Drafts a paste-ready “Last updated” HTML snippet for your blog, FAQ, and pricing pages. Visible freshness dates (and matching dateModified markup) signal to AI engines that your content is current — fresher content is favored in retrieval.
How to use: Paste the snippet into your page templates and keep the date current when content changes.
11. TL;DR Blocks
Drafts a TL;DR block template plus three example summaries for your most-visited posts. Answer-first summaries at the top of a page give AI engines a quotable, self-contained answer — the format they prefer to cite.
How to use: Adapt the template, place a TL;DR at the top of your highest-traffic content, and reuse the structure for new posts.
After applying fixes: verify with a Source Readiness check
Fix actions draft the changes — the Source Readiness check measures whether your site reflects them. It is the same evidence family shown in your report, available from the brand dashboard for quick re-checks after you publish changes.
Checks include:
robots.txt— are AI crawlers (GPTBot, Google-Extended, Anthropic, PerplexityBot) allowed or blocked?- Schema markup — Organization, Product, FAQ structured data present?
- Wikipedia — does your brand have a Wikipedia article?
- Reddit — are there brand mentions on Reddit?
This check uses fixed evidence rules and runs instantly at zero credit cost, so you can re-run it after every change.
Batch Drafts
The Batch Drafts option prepares multiple reviewable action drafts from the same report context. Instead of opening each draft individually, you can prepare related outputs together:
- Schema markup + llms.txt + FAQ + content recs + gap content
- Reddit monitoring + YouTube script + X threads
- Source Readiness check
Drafts are generated as separate outputs so they can be reviewed, edited, and implemented deliberately.
Using the results
Each fix action result includes tools for working with the output:
- Copy All — Copy the entire output to clipboard
- Export as Markdown — Download the output as a
.mdfile for sharing or documentation - Per-item copy — Copy individual sections (e.g., one specific schema block or one FAQ question)
- Mark as Implemented — Track which fixes you have applied. This helps you measure the impact of changes on subsequent visibility checks.
Credits
AI-powered action drafts consume credits. The Source Readiness check is the exception: it runs evidence checks and costs zero credits.
AI-powered fix actions (schema, llms.txt, content, FAQ, Reddit, YouTube, X threads, gap content, and the on-page drafts) each use 10 credits per run. No output is applied without review and approval.
Related
Turn findings into approved fixes
Not just a dashboard — S6S drafts the fixes, you approve what ships to your actual site, and the next check verifies what each fix changed.