Prepared for Cytidel
CISOs do not start with Google anymore. They ask ChatGPT, Claude and Perplexity "who leads in exposure management?". So we asked, the five questions your buyers ask, on the models they use. Here is what came back.
| The question your buyer asks the AI | Who it names | Cytidel |
|---|---|---|
| Best exposure management platforms? | Tenable, PlexTrac, CrowdStrike, Qualys, Wiz, XM Cyber | Not named |
| What tells me which CVEs are being exploited right now? | Tenable VPR, Qualys TruRisk, Rapid7, plus EPSS and CISA KEV | Not named |
| Top CTEM vendors? | Zafran, Pentera, Wiz, XM Cyber, Cymulate | Not named |
| Alternatives to Tenable, Qualys and Rapid7? | Wiz, Orca, Armis, Axonius, CrowdStrike | Not named |
| Emerging exposure-management startups to watch? | Vigilance, Gutsy, Aembit, Nagomi, Hex, Corgea | Not named |
| So where does Cytidel turn up at all? | Only on your own website, and only when someone already types the word "Cytidel". | Name required |
This took an afternoon, before you hired anyone. Getting you into those answers is mechanical, not magic. Here is exactly how.
The models build every one of those answers from a short list of sources. We get you into each one, in the order that moves the needle fastest. This is a mechanism, not a promise.
Gartner Peer Insights, G2, PeerSpot, Capterra and TrustRadius are 88% of the review links AI answers cite, and the models trust PeerSpot most, deep verified reviews over volume. Zafran is named because it sits at number one there. We get Cytidel deep, consistent reviews on the platforms the AI actually reads. The models cross-reference them, so inconsistency is what quietly keeps you out.
Those roundups are exactly what the models quote back. This is Beachhut's earned-media muscle aimed at the specific pages the AI cites, not vanity coverage: the "best of" lists, the comparison pages, the analyst roundups that carry your name into the answer.
Question-shaped pages ("which CVEs are being exploited right now", "Cytidel vs Tenable", "alternatives to Qualys"), each a short claim backed by your data and a table, with a named author, visible dates and FAQ and Article schema, and your sitemap submitted to Bing, because ChatGPT's web search runs on Bing's index. Retrievable, quotable, and yours.
Original, verifiable data is what generative search rewards. A recurring exploited-vulnerability index off your feed becomes the number journalists and the list-writers cite, which earns the coverage and the reviews, which teaches the models you exist. Data, to content, to citations, to named. Each turn compounds.
The five questions go back through ChatGPT, Claude, Perplexity and Gemini every week, and we watch the zero climb. Citation gains typically show by week 8 to 10 and compound after. That chart is your dashboard, and it is an investor asset.
By your raise, when an investor or a buyer asks the AI who leads in exposure management, your name is in the answer. That is the whole game, and it is what the engine below is built to do.
Your product turns a vulnerability feed into a 51-day security edge. This turns the same instinct into a demand edge. Getting named by the AI is the wedge, not the win: a name in the answer only pays off if the click lands on a site built to convert and a system built to measure it. That is the rest of the engine, found, landed, and counted to pipeline in time for September, running on one protected hour of the founder's week, because the capacity trap is what kills these engagements.
Getting found was the section above. Then you reach them, land them, and count them. Each row is a line of your SoW, and a system I have already built, not a capability I am claiming.
Turn LinkedIn and X from a sales tool into demand. Most of your buyers, 70 to 80%, are on X.
Score your buyers by who is actually engaging, wire every touch back to a source, and put the founder where the right people already are. Ad spend is a workshop decision, run by you or a specialist.
I built the CRM behind Beachhut's own pipeline. It scores every contact on email, LinkedIn and calendar signal, so outreach starts with the warmest. 305k messages read, 67% enriched.
Rebuild the site as a lead engine, not a brochure. Your team does the build.
I design the structure, the capture points and the tracking, and project-manage it alongside the campaigns. Your team builds the front end.
I shipped inferencehq.com, the Manna coverage dashboard (6,254 articles) and the /live BD platforms, all on Cloudflare because corporate firewalls block Vercel, with server-side analytics and forms writing straight to the database.
Every lead scored against your ICP and tied to where it came from. Reporting your board and your investors trust.
One dashboard that captures, scores, attributes and reports, wired from the first week so nothing gets guessed after the fact.
Running today for Beachhut, Inference and Manna: it tracks opens, clicks, which slide someone reached, sorts replies automatically, and scores every contact. Cytidel would be the first to aim it at MQLs.
Personas from your ICP signal, the messaging and the category themes, an AEO baseline on top of Gary's work, and the dashboard live.
LinkedIn and X go live, the first data-led piece is published and pitched, and the website blueprint starts as a parallel stream.
MQLs landing and attributed, budget moved to what converts, and a phase-gate review that doubles as your raise-readiness evidence.
How it feeds the raise
By September you walk into the round with measurable MQLs, a category you visibly own, and a dashboard that is itself an investor asset. The engine and the fundraise are the same motion, which is the point.
The honest bit
Two things we will not overclaim. We have not yet booked an MQL-lift number for a marketing client: the instrumentation is built and running, and Cytidel would be the first to point it at MQL, measurable from week one. And cyber is a new sector for us. Everything in the proof column above is built and live today.
Boundaries, stated plainly. Paid and social ad buying: decided together in the opening workshop, executed by your team or a specialist. Website: we design and project-manage the redesign; your in-house team builds the front end, exactly as your SoW sets out.
The cost
Phase One: 12 weeks, UK, roughly two days a week (€24,000), reviewed at the phase gate. Phase Two scales the playbook to the US. You commit one phase at a time and earn the next by delivering this one. Exclusive of VAT; the paid decision is made in the opening workshop.
Who
Next
A scope-alignment workshop to confirm the market (UK, or Netherlands and Nordics), personas and MQL targets, then kick off. Decision by mid-July, start end of July, in step with your plan.