Multi-system monitoring
Monitor mentions, recommendations, position, and brand descriptions across a defined prompt portfolio and the AI systems you track.
AI search visibility software for your brand.
Review how 9 AI systems, including ChatGPT, Gemini, Copilot and Google AI Overviews, answer the buyer questions that matter to your brand. Digraph asks each question up to 250 times, keeps every response with its date and visible sources, and helps your team investigate gaps.
Reviewed October 3, 2026 by Digraph Research. Product capabilities and AI-search results change; verify current plan terms and measurement scope before making decisions.
Digraph asks 9 AI systems your questions on real virtual machines, up to 250 times each, and saves every answer with its date and sources. Read the AI coverage and collection methods.
AI coverage and collection methods
See the 9 AI systems Digraph checks, how answers are collected on real virtual machines, and how many times each question is asked.
Compare AI visibility software and toolkits
Review Digraph, Semrush, Conductor, Ahrefs, and other platforms by prompts, citations, competitors, pricing, and reporting.
How AI citations shape visibility
Trace the sources that influence answers and prioritize the evidence worth improving.
AI brand monitoring guide
Build a repeatable practice for mentions, recommendations, citations, and accuracy.
Answer engine optimization explained
Connect buyer questions, generated answers, citations, and actions in an AEO workflow.
Review the AI visibility benchmark
Inspect a dated, reproducible search snapshot with query scope, observed results, and limitations.
AI search visibility handbook
Follow the full operating model from buyer question to measured action.
See the evidence behind every answer.
Track the question, answer, sources, competitors, and changes over time in one reviewable record.
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.
From buyer question to measured action.
Define the questions
Build a portfolio around category discovery, comparison, validation, and decision-stage questions your buyers actually ask.
Observe the answers
Run the prompt set across the AI systems in scope and keep the response context available for review.
Trace the evidence
Inspect mentions, recommendations, source influence, competitive framing, and changes over time.
Act and validate
Assign a bounded next step, then revisit the same measurement scope to assess the outcome.
Measure what AI says about your brand
Keep every result tied to its prompt, platform, market, and date so one answer never becomes a misleading score.
Explore Digraph features- Mention and recommendation rate
- Position and narrative framing
- Share of voice within a defined competitor set
- Citation and source-domain patterns
- Prompt, platform, market, and time-period context
AI Search Visibility Software FAQ
How should I evaluate AI search visibility software?
Run the same buyer questions across the tools you are comparing. Check engine coverage at the plan level, prompt volume and customization, whether the tool preserves the full answer and cited URLs, whether it separates mentions from recommendations, whether it supports consistent competitor benchmarking, and what the realistic total cost is at your scope. Review a real example with your team before choosing a platform; an aggregate visibility score alone cannot explain a change.
How can I check my AI visibility?
Choose a fixed set of buyer questions, AI systems, market, language, competitors, and time period. For each check, review whether your brand is mentioned, recommended, how it is framed, and which sources are cited. Repeat the same scope to separate recurring patterns from one-off answer changes; Digraph keeps the prompt, answer, and citation evidence together for review.
What should an AI visibility software pilot include?
Start with one brand, a small set of direct competitors, a defined market and language, and questions covering discovery, comparisons, and purchase decisions. Record a baseline, inspect missing or inaccurate answers, and assign one content or factual correction. Repeat the same questions to assess the pattern, without attributing every change to the edit.
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.
What should an AI visibility toolkit measure?
A useful AI visibility toolkit connects buyer prompts with the generated answer, brand mention or recommendation, competitor framing, cited sources, platform and market scope, and the next action. Review the underlying evidence and repeat the same questions over time instead of treating an unexplained visibility score as a complete diagnosis.
Which AI systems can Digraph monitor?
Digraph checks 9 AI systems: ChatGPT, Gemini, Google AI Overviews, Claude, Perplexity, Microsoft Copilot, Grok, Mistral, and DeepSeek. Real virtual machines open each tool and ask your questions the way a person would, and every answer is saved with its date and sources. See the AI coverage and collection methods page.
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.
Build the right AI visibility program.
AI Search Monitoring
AI search monitoring and analytics across 9 AI systems: review citations, brand mentions, competitors, repeated runs, and the scope behind each result.
AI Brand Monitoring
Monitor how supported AI model responses mention, recommend, compare, and cite your brand. Inspect the buyer questions, answers, sources, and competitors behind each observation.
Generative Engine Optimization
Use sampled AI model answers, citations, competitors, and buyer questions to guide a practical generative engine optimization program.
Answer Engine Optimization
Evaluate AEO software with inspectable answers, citations, competitor context, and clear collection limits. See how Digraph checks 9 AI systems.
ChatGPT Visibility Tracker
Measure brand mentions, recommendations, citations, and competitors in ChatGPT answers. Each question is asked up to 250 times on a real virtual machine.
AI Search Visibility for Agencies
AI visibility software for AI marketing agencies and digital agencies. Report client prompts, AI answers, citations, competitors, and follow-up actions with evidence.
Enterprise AI Search Visibility
Coordinate multi-brand, multi-market AI search visibility programs with shared prompts, answer evidence, competitor context, and governance from Digraph.
AI Visibility Software for SEO Teams
Extend your SEO workflow into AI answers with prompt monitoring, citation evidence, competitor analysis, and measurable content actions from Digraph.
AI Visibility for Content Teams
Turn AI-answer gaps, citations, and buyer prompts into focused content briefs, refresh decisions, and measurable follow-up work with Digraph.
AI Visibility for SaaS
Track how AI systems describe SaaS categories, products, integrations, and alternatives with prompt, citation, and competitor evidence from Digraph.
AI Visibility for Ecommerce
Monitor product discovery, shopping shortlists, category answers, and cited sources across AI search with Digraph for ecommerce teams.
Perplexity Visibility Tracker
Review brand mentions, recommendations, and visible sources in tracked Perplexity answers, with prompt and competitor context.
Gemini Visibility Tracker
Review tracked Gemini answers for brand mentions, recommendations, sources, and competitors. Digraph checks Google AI Overviews separately.
Claude Visibility Tracker
Review how Claude describes, compares, and recommends your brand across tracked decision questions.
Copilot Visibility Tracker
Track brand mentions, recommendations, and visible sources in Microsoft Copilot answers. Digraph asks Copilot your buyer questions up to 250 times each.
Google AI Overviews Tracker
Track whether Google AI Overviews mention, recommend, and cite your brand. Each question is asked up to 250 times, with every answer saved with its sources.