A dedicated AI-answer lens
Keyword and backlink data remain valuable. Digraph adds the answer-engine layer: which questions generate recommendations, what sources are cited, and where competitors appear.
Marketing teams that want dedicated AI search evidence to complement a broad SEO toolkit.
| Capability | Digraph | Semrush |
|---|---|---|
| SEO research and reporting | AI-search-focused analysis | Broad SEO and digital marketing toolset |
| AI answer monitoring | Track answers, mentions, recommendations, and visibility over time | AI search features within a broader suite |
| Prompt and source context | Organize and monitor the questions that matter to your market; identify cited sources and the source domains influencing answers | Evaluate workflow depth for your use case |
| AI-answer competitor benchmarking | Benchmark your brand against the competitors buyers consider | Evaluate AI-search competitive workflows for your use case |
Keyword and backlink data remain valuable. Digraph adds the answer-engine layer: which questions generate recommendations, what sources are cited, and where competitors appear.
Use Digraph to identify gaps in AI answers, then bring those findings into the existing SEO and content processes your team already uses.
Digraph brings the evidence behind AI-search visibility into one focused workflow.
Review the prompts and tracked answers where your brand appears—or does not.
See cited domains and competing brands alongside the answer patterns you are measuring.
Use the observed gaps to focus research, content planning, and performance review.