The proprietary agent reads every prompt, answer, and citation across nine AI engines, then returns a ranked strategy. Early cybersecurity customers gained 10% AI visibility in under two months.
SAN FRANCISCO, CA / ACCESS Newswire / July 30. 2026 / GrackerAI today launched Visibility Diagnosis, a proprietary AI agent that tells B2B cybersecurity companies exactly why AI engines recommend their competitors instead of them, and what to change first. The agent analyzes every buyer prompt, every generated response, and every cited source across nine AI engines, then returns a prioritized strategy. Multiple early customers gained 10% AI visibility in under two months.
Four in ten B2B buyers now begin vendor research inside ChatGPT, Perplexity, or Claude. When a CISO asks for the best SIEM for mid-market, the engine does not return blue links. It returns a shortlist of three names and eight citations, and the deal is half decided before a sales team hears about it. There is no page two in AI search. There is the answer, or there is nothing.
Most vendors now know their AI visibility score. Almost none know the cause. Every tool on the market reports the symptom and leaves the diagnosis to guesswork.
“Every marketing team I talk to has the same problem,” said Deepak Gupta, CEO and Co-founder of GrackerAI. “They know their visibility score. They have no idea what to do with it. A score is a symptom. This is the diagnosis. Search used to reward whoever spent the most. AI rewards whoever the engines trust, and that is a fairer game. It is also a winnable one, in weeks rather than years.”
Visibility Diagnosis reverses that. The agent reconstructs the full answer graph for a category: which prompts real buyers ask, how each engine answers them, which domains those engines trust, which competitor citations are load-bearing, and where the brand is missing. The output is not another dashboard. It is a ranked set of moves, ordered by how fast each one moves a citation.
“Getting cited is not a content problem, it is a trust-signal problem,” said Govind Kumar, CPO and Co-founder of GrackerAI. “The agent works backward from the answer. It reads the response, traces the citation, and reconstructs why that specific source earned the slot. Run that across nine engines and hundreds of prompts and patterns surface that no human team could ever see by hand. That pattern layer is the proprietary part. It is why our customers stop publishing hopefully and start publishing against evidence.”
SSOJet, a developer-focused enterprise SSO platform competing against Okta and WorkOS, is among the early users. The company lifted its AI visibility score from 18% to 47% over six months on GrackerAI, with enterprise signups up 287% and demo requests from AI-referred traffic up 412%.
“We spent a year outspent on ads and invisible in the answers our buyers actually read,” said David Brown, Head of Marketing at SSOJet. “What changed things was finally seeing which sources ChatGPT trusted in our category and why. Once you know that, the work stops being a guess. Diagnosis puts that in front of you in a day instead of a quarter.” Full case study: gracker.ai/case-studies/ssojet
Visibility Diagnosis is available now on GrackerAI’s Scale and Enterprise plans, with full ten-engine analysis on Enterprise. Any company can get a free AI visibility score in about 60 seconds, at portal.gracker.ai.
