Understand how your brand appears in AI answers.
Review mentions, compare competitors and follow the cited sources. Bring in your own shopping, traffic and demand data for more context.
Track where your brand appears in AI answers.
Schedule your tracked prompts across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews. Review brand mentions, recommendation position and cited sources across repeated samples. These are collected observations; API responses can differ from the answers someone sees in an engine's app.
- Visibility, share of voice and average position per engine
- Breakdowns by engine, region, topic and competitor
- The raw answer behind every number, one click away
Read how AI describes your brand.
GetRecited classifies the sentiment of every answer that names you and tracks how often engines recommend you outright rather than list you among others. Themes are grouped by engine, so you can see which model describes you well and which one repeats an outdated claim.
- Positive, neutral and negative framing by engine
- Recommendation rate versus passing mentions
- The exact sentences behind every score
Review your products in shopping answers.
Bring your shopping observations into GetRecited to review product mentions, attributes and merchant links. This view uses imported data. Automatic collection from shopping results is planned.
- Product-level visibility, position and sentiment
- Product attributes recorded in your import
- Trigger prompts and merchant share
See which agents visit your site.
Import agent events to see crawler visits and assistant referrals by page. Compare them with citation records to investigate patterns. A crawl does not establish that a page caused an answer or a visit. Automatic CDN connectors are planned.
- A registry of AI crawlers and user agents you can extend
- Page-level visits and citation records
- Imported crawler, referral and MCP events
Open the answer behind every number.
Review the full responses collected for your prompts, including their citations, brand mentions and extraction details. Sources are grouped by domain and ownership so you can compare your pages with competitors and third-party sites.
- Verbatim responses kept for replay
- Cited sources grouped by domain and ownership
- Prompt, engine, sample, rank and sentiment on every row
Choose prompts with demand data in view.
Import licensed or panel demand data to help prioritize your prompts. Read each volume estimate with its source and period. Imported estimates do not represent a count of all questions asked across AI engines.
- Monthly volume when a licensed or imported source provides it
- Source and period alongside imported estimates
- High-demand, low-visibility questions surfaced as opportunities
Turn a finding into a content update.
Keep the answer, draft and publication record together so your team can review the work and compare later scans.
Step 1: Prioritize
Review prompts where your brand is missing and choose an update worth investigating.
Step 2: Draft
Use your brand facts to prepare a draft, then check its claims and sources before approval.
Step 3: Publish
Export Markdown and JSON-LD, or record the URL you published to. Brand files regenerate on their own.
Step 4: Compare
Run the same questions again and review changes in the answers. An observed change does not establish its cause.
Start with the questions your buyers already ask.
Join early access to set up your prompts and review the answers with your team.