Cross-platform monitoring
Check buyer questions across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, depending on your plan.
Product features
AnswerStanding is an AI visibility monitoring platform for measuring brand mentions, competitor presence, recommendation position, sentiment, citations, and change over time—with the full answers behind the numbers.
AI answer platforms on Pro and Agency
Answer samples per tracked question
Answers, citations, models, and timestamps
Measure
Track the questions buyers ask and inspect the evidence behind every result.
How AI visibility monitoring worksCheck buyer questions across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, depending on your plan.
Run multiple samples per question instead of treating one variable AI response as a permanent ranking.
See how often your brand appears, its average listed position, and the exact sample count behind each metric.
Read the recorded answer, model, check time, brand mentions, sentiment, position, and source links in one place.
Compare
See the competitive pattern surrounding your brand—not only a standalone score.
Follow named competitors across the same buyer questions and AI platforms as your own business.
Identify other businesses repeatedly named in answers, including competitors you did not know to track.
Compare how much of the observed recommendation conversation belongs to you versus competing brands.
See where businesses are listed and the language AI uses to describe their strengths, limitations, and fit.
Investigate
Move from a visibility gap to the websites and evidence that may explain it.
Open the source pages cited by grounded AI answers and see which domains appear most often.
Distinguish citations to your own website from third-party directories, publishers, communities, and competitor sites.
Detect when the source mix changes so you can investigate new directories, articles, or trusted authorities.
Test whether major AI and search crawlers are allowed by a website's robots.txt configuration.
Improve
Prioritize practical changes while keeping the underlying evidence attached.
Generate prioritized actions for content gaps, citation opportunities, prompt coverage, positioning, and sentiment.
Open the answers, citation domains, and metrics supporting a recommendation before acting on it.
Assign effort, owners, due dates, and recheck dates, then mark recommendations complete or dismissed.
Re-run the same questions and compare later results rather than assuming a published change worked.
Monitor
Keep a defensible history instead of relying on disconnected screenshots.
Run a check when you choose and, on paid plans, include automatic weekly checks from the same monthly allowance.
Compare mention rate, answer volume, position, sentiment, and competitors across selectable time periods.
Review visibility drops, lost prompts, first appearances, new competitors, sentiment changes, and citation shifts.
Every answer records the platform, served model, sample number, and collection time.
Share
Give other people the evidence without handing over your workspace.
Organize businesses or agency clients independently, with their own brands, competitors, questions, and results.
Invite teammates according to your plan and keep organization-scoped access controls around customer data.
Create private, expiring snapshots that do not expose later workspace changes.
Export report data to CSV or use the print-ready report view for a client deliverable.
Start with evidence
The free check queries live AI systems and shows the brands and sources in the returned answers.
Run your free check