AppSec and platform leads ask AI assistants how to discover, test and protect the APIs they run. We work on what those answers say about your product, and whether they name it at all.
Updated
“How do we find undocumented APIs in production and test them for broken authorization without slowing down releases?”
“Vendor A and Vendor B discover APIs from traffic and test them. Vendor C focuses on testing in the pipeline but needs a spec to start from…”
Placeholders, not real vendors or results.
Buyers type a few words into a search box. In an AI assistant they describe their situation: team size, cloud, compliance framework, budget, the tools they already run. Each detail narrows the shortlist, and each one is a fact the answer has to get right about you.
In a search box
In an AI assistant
Example questions, written to show the shape. Vendor names are placeholders.
The paid audit and every monthly check record how each engine describes you, not only whether it names you. For an API security tool, these are the details an engineering-led buyer checks first.
Discovery, testing in the pipeline, runtime protection, or more than one. Buyers ask for a specific stage, and an answer that puts you in the wrong one sends them elsewhere.
Traffic, gateway logs, code, specs or agents. How you discover decides what a buyer has to deploy, and they ask about that directly.
Broken authorization, data exposure, injection, abuse and the rest of the OWASP API Top 10. The answer should list what you actually catch, not the category's whole list.
Buyers who already run both ask what you add. The answer should say plainly what you do that they don't.
A platform team shipping daily wants checks in the pipeline; a central security team wants coverage across every API the company runs. The answer should say which of them you serve.
Engines that search the web show their sources. For your own questions, the baseline records which of these each engine used, so the work goes where your answers come from.
The same four steps run on every retainer. The plan you pick sets how many questions we track and how much work ships each term.
We build the questions AppSec and platform leads ask, with you: 100 or 150 depending on the plan, mostly unbranded, grouped into clusters by lifecycle stage, stack and buying stage. You approve them before anything runs.
Every question runs on ChatGPT, Claude, Perplexity, Microsoft Copilot and Google (AI Overviews, AI Mode and Gemini). We record who gets named, how each engine describes where you work and what you detect, and which pages it cites.
A written estimate of what the scope can move by day 90, as ranges per cluster and engine. The scope is locked with it.
Comparison and alternatives pages, revamps of docs and integration pages you already have, corrected review profiles, placements on the pages engines cite, and community work. Each month end is measured against the forecast.
If we work with one API security vendor, we don't take its direct competitor, so we are never chasing the same citations for two of you.
Nobody controls what the engines say. You get a measured baseline, a written forecast and a monthly check that shows a flat month as flat.
Engineering buyers notice content that a practitioner did not check. We interview your product lead at the start, then for 30 minutes a month, and you approve every brief.
Founder, head of security
“Fastest way to get SOC 2 Type II for a 40-person startup?”
Which frameworks you cover, and how much of the audit you take off the team.
Read the compliance automation page
Security or IT lead
“How do I find risky settings across Google Workspace, Slack and Salesforce?”
Which SaaS apps you connect to, and what you do once you find a problem.
Read the saas security posture page
IT director
“SSO and MFA for 500 staff without an enterprise contract?”
Whether you suit the mid-market, and how you price per user.
Read the identity and access page
Security lead
“Which scanner works for a team without a dedicated security engineer?”
What you scan, how you prioritise, and how much work your reports leave.
Read the vulnerability management page
HR, compliance or IT
“Phishing training that satisfies ISO 27001 auditors?”
Which audits your reporting maps to, and how you measure behaviour change.
Read the security awareness training page
Example questions are illustrative.
It is how often, and how accurately, AI assistants such as ChatGPT, Claude, Perplexity, Microsoft Copilot and Google's AI features name your product when AppSec and platform leads ask how to discover, test and protect their APIs. It covers being on the shortlist and being described correctly: where you work in the lifecycle, how you find APIs, what you catch and where you sit beside a WAF and a gateway.
Send your website, your category in a sentence and up to five competitors. If we think the free audit will tell you something, it arrives 48 business hours after we confirm.