AI SEARCH VISIBILITY SOFTWARE

Measure how your brand appears in AI search.

Digraph gives brand, SEO, and content teams a repeatable view of how AI answer engines represent their company. Track the buyer questions that matter, inspect the answers and sources behind every signal, and turn the gaps into work your team can validate.

THE DIGRAPH APPROACH

For teams that need evidence, not a mystery score.

AI search visibility is more than a mention count. A useful program shows the question, the answer, the cited evidence, the competing brands, and the change over time. Digraph keeps those parts connected so a visibility shift can become a concrete decision.

Multi-engine visibility tracking

Monitor how major AI systems mention, recommend, position, and describe your brand across a defined prompt portfolio.

Answer and citation evidence

Open the underlying answers, cited domains, and source URLs instead of relying on an unexplained aggregate score.

Competitor benchmarking

Compare the same questions, period, and AI systems to understand where competitors appear and what evidence supports them.

Prioritized next actions

Turn observed gaps into focused content, accuracy, source, or technical investigation work.

A REPEATABLE WORKFLOW

From buyer question to measured action.

A durable program records what it measured, why a change matters, and what the team does next.

  1. 01

    Define the questions

    Build a portfolio around category discovery, comparison, validation, and decision-stage questions your buyers actually ask.

  2. 02

    Observe the answers

    Run the prompt set across the AI systems in scope and keep the response context available for review.

  3. 03

    Trace the evidence

    Inspect mentions, recommendations, source influence, competitive framing, and changes over time.

  4. 04

    Act and validate

    Assign a bounded next step, then revisit the same measurement scope to assess the outcome.

What AI search visibility software should measure

A complete view keeps each metric tied to its collection scope. That prevents teams from treating a volatile single answer as a lasting market conclusion.

Explore Digraph features
  • 01Mention and recommendation rate
  • 02Position and narrative framing
  • 03Share of voice within a defined competitor set
  • 04Citation and source-domain patterns
  • 05Prompt, platform, market, and time-period context

QUESTIONS, ANSWERED

AI Search Visibility Software FAQ

What is AI search visibility software?

AI search visibility software helps teams measure how AI-powered search and answer systems describe, mention, recommend, and cite a brand across a defined set of questions.

Which AI systems can Digraph monitor?

Digraph monitors the major AI answer systems used in a configured program, including ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, Mistral, DeepSeek, and Google AI Overview coverage where applicable.

How is AI visibility different from traditional SEO rankings?

Traditional SEO reports positions and traffic in search-result pages. AI visibility focuses on the generated answer itself: whether a brand appears, how it is framed, which competitors appear, and which sources influence the response.

Can Digraph show why visibility changed?

Digraph keeps prompts, answers, citations, source context, and competitors connected so teams can investigate a change before deciding what to do next.