Optimization opportunities are automatically detected insights that show where your site and external presence can be improved to increase brand visibility in AI search.
These optimizations include on-page fixes (adding structured content, canonicals, or summaries), technical adjustments (unblocking AI crawlers or resolving errors) and influencing content on third-party authoritative sites. Addressing these optimization opportunities helps your brand be accurately represented and more likely to be cited in generative responses.
The optimization opportunities presented on the dashboard are prioritized based on player gaps, trending topics, and performance data and presented as a list. You can search for a specific opportunity by using the search field. Also, opportunities are grouped by tags, and you can click directly on a tag to show all the opportunities grouped under that tag.
Opportunity
Type
Identified Issues
Fix Suggestions
Content (Onsite)
Identifies high-traffic pages that lack concise summaries and structured key points at the page or section level, making them harder for AI agents to scan and interpret brand claims. Shows affected URLs and where summaries are recommended.
Review AI-generated summaries and key points grounded in existing content, then deploy at the CDN edge with Optimize at Edge so agents receive clearer, scannable context.
Content (Onsite)
Identifies high-traffic pages that lack structured Q&A content aligned to your prompt set, making it harder for AI agents to match user questions to your page. Shows affected URLs and where FAQs are recommended.
Review AI-generated, intent-aligned FAQ content grounded in existing page material, then deploy at the CDN edge with Optimize at Edge so agents receive clearer Q&A context.
Content (Onsite)
Identifies pages where key information is embedded in video or other media without machine-readable transcripts or summaries, making that content hard for AI agents to use. Shows affected URLs and recommended text.
Review AI-generated transcript summaries grounded in the media and page, then deploy at the CDN edge with Optimize at Edge so agents receive machine-readable text (for example, near the relevant video).
Technical GEO
Analyzes your robots.txt file for rules that selectively block AI agents from content that is otherwise publicly accessible. Reports affected URLs and blocked agents.
Update your robots.txt file to allow access for supported AI crawlers where appropriate.
Technical GEO
Monitors CDN logs for 404, 403, and 5xx error responses returned to AI agents. Reports affected URLs and total hits lost.
Fix broken links, update permissions, and resolve server-side issues so key content returns 200 responses.
Content (Onsite)
Identifies high-traffic pages where dense or complex copy sits below readability thresholds, making it harder for AI agents to interpret key information. Shows affected URLs and where simplified text is recommended.
Review AI-generated Improved Text grounded in existing page content, then deploy at the CDN edge with Optimize at Edge so agents receive clearer, easier-to-scan passages.
Technical GEO
Flags pages where critical content is hidden from AI agents. Shows affected URLs and expected content that can be recovered.
Pre-render the pages at the CDN layer using Optimize at Edge so more content is available to AI agents without JavaScript execution.
Technical GEO
Detects pages that lack clear structural organization or navigational headings, making it difficult for AI agents to parse and map content to user queries. Shows affected URLs and where a structured Table of Contents is recommended.
Review the suggested structured Table of Contents with anchor-linked headings that reflect the main sections of the page, then deploy at the CDN edge with Optimize at Edge so a Table of Contents is injected into the HTML, improving page structure so models can more easily extract, map, and cite relevant sections.
Offsite
Analyzes your company’s Wikipedia page against industry competitors across references, sections, content length, images, and infobox completeness. Identifies specific gaps where your page falls below industry benchmarks.
Review AI-generated strategic recommendations to improve your Wikipedia presence, including adding references, enriching your infobox, expanding sections, and improving article quality.
Offsite, Social & Community
Analyzes YouTube videos cited for your Brand Presence prompt set for brand mentions, sentiment, share of voice, and recurring topics. Only appears when YouTube videos are detected as citations for your prompt set.
Review prioritized recommendations to improve brand perception across YouTube content, including suggested actions and the teams responsible for implementing them.
Offsite, Social & Community
Analyzes Reddit threads cited for your Brand Presence prompt set for brand mentions, sentiment, share of voice, and recurring topics. Only appears when Reddit threads are detected as citations for your prompt set.
Review prioritized recommendations to improve brand perception across Reddit content, including suggested actions and the teams responsible for implementing them.
Offsite, Social & Community
Analyzes top-cited URLs detected for your Brand Presence prompt set for brand mentions, sentiment, share of voice, and recurring topics.
Review prioritized recommendations to improve brand perception across the pages AI systems cite most when responding to prompts about your brand.
Content (Onsite), Adobe Commerce
Identifies Commerce catalog products whose names or descriptions are too generic, technically dense, or ambiguous for LLMs to interpret. Shows evaluated PDPs, agentic traffic context, and AI-generated narrative enrichments.
Review and edit proposed product names and descriptions, then deploy optimizations to publish updates directly to your Adobe Commerce catalog (with rollback from Fixed Suggestions).
Technical GEO, Adobe Commerce
For Adobe Commerce storefronts, compares full catalog data to what AI agents can access on each product detail page; surfaces PDPs where variants, specifications, attributes, and related catalog fields are missing from the agent-visible HTML, prioritized by agentic traffic.
Highlights recoverable catalog information missing from the agent view and why it matters for LLM-driven product discovery; deploy with Optimize at Edge to serve a fully pre-rendered, AI-friendly HTML snapshot to agentic traffic at the CDN edge so agents receive rich product context from your catalog without CMS or catalog changes.
