CiteBright
AI is answering your buyers.
Make sure you are the answer.
CiteBright scans ChatGPT, Perplexity, Gemini and Google AI for the questions your buyers ask, finds the answers where you are missing, writes the content that fills the gap, and chases it to published in Slack. Then it re-scans and shows you the lift.
Why does AI search visibility matter now?
AI answers now influence most B2B buyer journeys, but each response cites only 3 to 8 sources. McKinsey projects $750 billion in revenue flowing through AI search by 2028, and 50 percent of consumers already use AI search as their primary way to find products, up from 8 percent a year earlier. Brands not cited in those answers are invisible to the decision.
The market moves fast. Competitors who appear in those 3 to 8 sources get the question, the consideration, and the sale. The ones who do not are not losing ground slowly. They are simply not in the conversation.
What does CiteBright actually do?
CiteBright runs a closed-loop cycle on each tracked prompt: scan the AI engines, detect who is cited and who is not, generate a citable article or LinkedIn post for the gap, route it through Slack for approval, publish it directly to your CMS, and re-scan to confirm the citation appeared. Every step is automated. The only human decision is the approval.
Scan
Run tracked buyer prompts across ChatGPT, Perplexity, Gemini and Google AI on a set schedule.
Detect
Flag every prompt where your brand is absent or where a competitor is cited instead.
Generate
AI writes a citable blog post or LinkedIn article targeting the exact question and intent.
Approve in Slack
The agent posts a preview to Slack and nudges the responsible person until they approve or request changes.
Publish
Approved content goes live automatically in WordPress, Webflow, or any Zapier-connected destination.
Prove lift
CiteBright re-runs the prompt and shows you the before-and-after citation rate, engine by engine.
How does CiteBright close the AI visibility loop?
Four steps from invisible to cited.
Track prompts
Add the exact questions your buyers type into AI engines. CiteBright monitors them on a recurring schedule across all four major engines.
See every gap
A clear dashboard shows which prompts cite you, which cite competitors, and which cite neither. No manual spot-checking required.
Approve in Slack
The AI drafts the article. Your Slack agent delivers the preview, collects feedback, and follows up until the piece is approved and scheduled.
Published and proven
Content publishes to your CMS automatically. CiteBright re-scans the same prompts and shows the citation appearing in the next cycle.
What features close the loop from gap to citation?
Citation gap detection
See every prompt where your brand is absent and every prompt where a competitor is cited instead. Updated on each scan cycle.
AI content engine
Generates blog posts and LinkedIn articles written for the exact query intent that drives AI citations, not generic SEO traffic.
Slack agent that follows through
Sends content previews to Slack, collects approvals, and escalates with reminders until the piece ships. No tasks fall through.
CMS auto-publish
Connects natively to WordPress and Webflow. Publishes via webhook or Zapier to any other destination without manual copy-paste.
Content library and calendar
Every generated piece is stored with its source prompt, engine, and publication status so your team has full visibility into the pipeline.
Lift attribution
Re-runs tracked prompts after publication and maps each citation appearance to the content that caused it. Closed loop, measurable.
What is agentic engine optimization (AEO)?
Agentic engine optimization is the practice of closing the loop on AI search visibility: detecting the AI answers where a brand is not cited, generating citable content for those exact prompts, publishing it, and re-measuring until the brand appears. Unlike GEO monitoring, which reports the problem, AEO executes the fix.
Traditional search optimization targets crawlers. GEO monitoring tells you whether AI engines cite you. AEO is the next step: an automated execution layer that acts on every gap. CiteBright is built specifically for that loop, from the first scan to the final attribution report.
Common questions about CiteBright
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How is CiteBright different from Profound, Peec AI, or Otterly?
Profound, Peec AI, and Otterly are monitoring tools. They show you where your brand is missing from AI answers. CiteBright closes the loop: it generates the content that fills those gaps, chases it to published via a Slack agent, and re-scans on the next cycle to confirm the citation appeared. Monitoring tells you the problem. CiteBright fixes it.
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Which AI engines does CiteBright track?
CiteBright tracks ChatGPT (including the browsing-enabled version), Perplexity, Gemini, and Google AI Overviews. Coverage expands as new engines reach meaningful market share.
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Which CMS platforms can CiteBright publish to?
CiteBright publishes natively to WordPress and Webflow on Growth and Scale plans. Any other destination is reachable via webhook or Zapier on all plans. LinkedIn publishing is included on Growth and Scale.
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How does CiteBright prove citation lift?
After content goes live, CiteBright re-runs the same tracked prompts across all monitored engines and compares citation rates before and after. The lift report shows exactly which prompts now cite your brand, which engine started citing you, and when.
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What do I need to install to use CiteBright?
Nothing beyond a Slack workspace and a CMS connection. CiteBright is entirely web-based. Connect your Slack so the agent can send approvals and nudges, then connect WordPress, Webflow, or a Zapier webhook for publishing. No browser extension or code required.
Where does your brand appear in AI answers right now?
Enter your name and work email. CiteBright sends a secure link so you can submit your domain and receive your AI visibility report within minutes.
No credit card. Check your inbox for a secure link to submit your domain.