An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Ainswer
$39/moStarting price
0Popularity
About Ainswer
Ainswer evaluates how AI-powered search engines such as ChatGPT, Perplexity, Google AI, Gemini, and Claude recommend a brand when buyers ask category-specific questions. The tool runs live checks on buyer prompts, tracking whether a brand is named in AI responses and ranking its Recommendation Share compared to competitors. It identifies citation gaps by showing which trusted sources mention competitors but not the user’s brand, highlighting the most influential pages to improve first. Ainswer consolidates these insights into a single dashboard that tracks mentions, ranks, and recommendation strength across multiple AI engines. The platform is designed for founders, marketing teams, and agencies focused on increasing visibility in AI-driven search results rather than traditional web search. Users can run a free audit by pasting their website URL, which generates a live report showing how often their brand is recommended across five AI engines for buyer-specific questions. The tool measures Recommendation Share, competitor wins, and citation gaps, providing an actionable plan to improve AI visibility. Plans include Starter for weekly tracking, Growth for teams actively improving AI visibility, and Agency for multi-brand portfolios, with options for customization and white-label reporting.
Key features
- Live AI recommendation checks on buyer prompts
- Recommendation Share tracking and competitor benchmarking
- Citation gap identification in reviews, editorial, and communities
- Multi-engine consistency verification with logs
- Weekly trend alerts and prioritized improvement lists
- White-label reporting for agencies
- API and Slack integration for automated updates
- Custom workspace for managing multiple brands
Use cases
- Founders checking if their brand appears in AI shortlists for their category
- Marketing teams improving AI-driven search visibility for a product
- Agencies managing AI recommendation performance across client brands
Pros
- Tracks AI recommendation performance across five major AI engines
- Identifies citation gaps in sources AI trusts but that omit the brand
- Provides competitor benchmarking and trend analysis
- Generates prioritized action plans for improving AI visibility
- Offers multi-run consistency checks with full logs
Cons
- No free tier beyond the initial one-time report
- Limited to invoice and billing software categories in sample reports
- Requires manual site submission for each audit
- Pricing plans are focused on AI visibility only
Frequently asked questions about Ainswer
What does Ainswer do?
Ainswer evaluates how AI-powered search engines like ChatGPT, Google AI, and Perplexity recommend a brand when buyers ask category-specific questions. It tracks mentions, ranks, and recommendation strength across multiple AI engines.
Who is Ainswer designed for?
The platform is designed for founders, marketing teams, and agencies focused on increasing visibility in AI-driven search results rather than traditional web search.
How does Ainswer work?
Users paste their website URL, and Ainswer runs live checks on buyer prompts across five AI engines. It generates a report showing Recommendation Share, competitor wins, and citation gaps, along with an action plan to improve AI visibility.
What is Recommendation Share?
Recommendation Share measures how often a brand is recommended by AI engines compared to competitors for specific buyer questions. It helps users understand their visibility in AI shortlists.
Does Ainswer offer a free trial?
Ainswer provides a free audit where users can run real buyer questions and see their AI Recommendation Share, competitor wins, and citation gaps without needing a credit card or email for the first report.
What integrations or AI engines does Ainswer support?
Ainswer supports ChatGPT, Google AI, Gemini, Claude, and Perplexity, running live checks across these engines to evaluate brand recommendations for buyer-specific questions.
