Technology & SaaS Founders
Glassdoor reviews, layoff coverage, and AI-hallucinated company facts now rank higher than your investor deck.
A single Glassdoor post or TechCrunch layoff announcement anchors brand search for months. The real problem isn't one negative review — it's that AI answer engines are now synthesizing scattered allegations into a false narrative about company stability, safety culture, or founder credibility.
Five pressure points unique to technology & saas founders.
Glassdoor & Blind dominance
Engineering talent evaluating your company on culture reviews before speaking with recruiters — SERP position 3-5, boosted by AI answer synthesis.
Founder social pile-ons
Twitter/X discourse from failed deal, controversial hiring, or ex-employee thread converts to persistent Wikipedia/news indexed facts.
Crunchbase/AngelList weaponization
Funding delays documented on profile pages — prospective partners see cap-table drama before outreach.
AI hallucinations about company facts
ChatGPT/Perplexity confidently misstate founding story, investor mix, or product roadmap because training data had gaps — now repeated in AI citations.
The disciplines we typically run for technology & saas founders clients.
Online Reputation Repair
Reclaim the first page of your name with content that survives Google's quality raters and AI summaries.
Read protocol Rapid Response ProtocolCrisis PR & Rapid Response
Six-hour SLA. Senior counsel, holding statement, media tree, takedown legal — by the time the story breaks, the response is already moving.
Read protocol Helios ProtocolAI Reputation Management (ChatGPT & Perplexity Defense)
ChatGPT, Perplexity, and Gemini now answer about you. We defend the paragraph they produce — line by line.
Read protocol Atlas ProtocolWikipedia Management
COI-compliant Wikipedia work that survives admin review — because if your page reverts, you lose more than the edit.
Read protocolB2B SaaS founder reclaims talent-search narrative after hostile Blind thread amplification.
A Series A platform-software company faced a coordinated Blind thread depicting layoff mismanagement. The thread indexed to news aggregators and fed into AI summaries of 'company stability.' The Sentinel Protocol built editorial consensus through technical blogs and customer case studies, moving culture-risk signals below talent-attraction content. Downstream Series B conversations shifted from defensive 'why the layoffs' to product differentiation. Investors attributed ~$8.7M valuation upside to normalized hiring narrative.
See all case studiesThe standing engagement opens with a private call.
A single conversation, signed under non-disclosure, with the principal who would own your matter. You leave with a printed posture assessment and the engagement letter, whether or not you retain us.