Recommendations Engine

How Recommendations Work

After every audit, 99Visibility's rule-based engine analyzes your results and generates specific, actionable recommendations. These aren't generic tips — each recommendation tells you exactly what to change, where to change it, and how long it should take.

How Recommendations Are Generated

The engine compares your audit results against known GEO best practices. It evaluates your mention rate, accuracy issues, content structure, schema markup, freshness signals, and platform-specific gaps to produce targeted fixes. Recommendations are deterministic: the same audit results always produce the same recommendations, so you can trust the consistency.

Recommendation Categories

Content Structure

Fixes related to how your content is organized. AI platforms extract information more effectively from clear headings, numbered lists, FAQ sections, and well-structured pages. Example: "Add an FAQ section to your /pricing page with structured Q&A format."

Schema Markup

Recommendations to add or fix structured data on your site. Schema markup — especially FAQ, Product, Organization, and HowTo schema — helps AI platforms parse your data accurately. Example: "Add Organization JSON-LD to your homepage with correct company name, description, and contact info."

Freshness

Flags for outdated content. AI platforms prefer recently updated information. If your key pages haven't been updated in over six months, the engine recommends refreshing them. Example: "Update your /features page — last modified 9 months ago. AI platforms deprioritize stale content."

E-E-A-T

Experience, Expertise, Authoritativeness, and Trustworthiness signals. These help AI platforms trust your content. Example: "Add author bios with credentials to your blog posts. AI platforms weigh content with clear authorship more heavily."

Platform-Specific

Fixes targeted at a specific AI platform. Different platforms have different behaviors, so some recommendations only apply to one. Example: "Your brand is not appearing on Perplexity for 8 of 15 keywords. Add citation-friendly content with numbered sources and definitive statements."

Accuracy Fix

Recommendations to correct hallucinations and inaccuracies that AI platforms are spreading about your brand. These are typically the highest priority. Example: "ChatGPT reports your pricing as $29/mo (actual: $49/mo). Add Product schema with correct pricing to /pricing and publish a press release with updated pricing." See Hallucination Detection for more.

Priority Levels

• High — fix this immediately. High-priority items are usually accuracy fixes (AI is saying something wrong) or major visibility gaps (you're completely absent from a platform).
• Medium — fix this soon. Medium-priority items improve your score but aren't causing active harm. Things like missing schema, outdated content, or weak E-E-A-T signals.
• Low — fix when you have time. Low-priority items are optimizations that provide incremental improvement. Worth doing, but not urgent.

Effort Estimates

Each recommendation includes an effort estimate so you can plan your work:

• Low (under 30 minutes) — quick wins like adding schema markup or updating a date
• Medium (30 minutes to 2 hours) — moderate tasks like restructuring a page or adding an FAQ section
• High (2+ hours) — larger projects like creating new content pages or building authority signals

Implementing Recommendations

1. Go to the Recommendations page from your sidebar.
2. Sort by priority (High first) and filter by effort level if you want quick wins.
3. Click a recommendation to see the full details, including which query triggered it and which platform it affects.
4. Implement the fix on your website.
5. Mark the recommendation as complete in 99Visibility.
6. Run a new audit to measure the impact. We recommend batching 3-5 fixes before re-auditing.

For background on why these recommendations work, see GEO Ranking Factors Explained.