Sitefire: AI-search visibility tied to content and referral actions

Sitefire is a marketing suite for brands that want to be discovered and cited by AI answer engines. The buyer decision is whether a marketing team wants visibility measurement tied to concrete content, editorial, and referral actions—not another score that ends in a dashboard.

What it does

Sitefire tracks brand visibility and citation sources across ChatGPT, Gemini, Perplexity, and other answer engines; recommends missing content and third-party actions; generates brand-aware drafts; and can push drafts to a CMS for approval. Its analytics also separate human referrals from AI-bot traffic, while the docs describe actions such as citation research, UGC engagement, and editorial coverage (Sitefire homepage; Sitefire docs).

Fact	What the public sources say
Buyer	Marketing, growth, content, and SEO teams at brands with meaningful AI-search demand
Core outputs	Visibility tracking, citation analysis, action briefs, content drafts, CMS delivery, referral and crawler analytics
Public pricing	Lite $249/month; Pro $499/month; Enterprise custom
Trial	The pricing page offers a 7-day free trial
Founders	Vincent Jeltsch and Jochen Madler

Why it fits

The practical difference is actionability. Sitefire does not stop at “your brand was mentioned less”; it identifies which pages and domains earn citations, proposes content gaps, and can create a draft that a team reviews before publishing. The referral layer is also useful because a citation is not the same as a human visitor or a lead.

The product makes ambitious measurement claims, and its case studies report results such as higher AI referral traffic. Those figures are customer and company materials, not an independent measurement of every brand's AI visibility (Sitefire case studies). A buyer should define a stable prompt set, separate crawler requests from human referrals, inspect source attribution, and ask how answer-engine changes affect the trend. The Lite and Pro plans cap tracked prompts and action volume, so the plan choice is a measurement-design decision as much as a seat decision (Sitefire pricing).

The founder context fits the analytics wedge. YC describes Madler as having worked on deep reinforcement learning and optimization at Stanford and completing a TUM PhD, while Jeltsch has software and healthcare-program experience (YC company profile).

Short version: Sitefire is worth a trial for a team ready to publish and earn citations, not just watch an AI-search score. The useful output is a verified action tied to a real page and a real referral.

Sources checked — 2026-09-19

Cohort context

Sitefire is listed in Winter 2026. In our 2026-09-18 directory snapshot, 126 of 199 listed companies in that cohort have YC’s primary industry label B2B (63.3%). This is a current-directory comparison, not an original intake count or a performance ranking. Nine-cohort dataset.

Public website snapshot

Observed 2026-09-19T16:20:33.132Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

Signal	Homepage observation
Product description metadata	Observed
Canonical link	Observed
H1 or H2 heading	Observed
Typed structured data	Observed
Docs/developer link	Observed
Pricing link	Observed
llms.txt link	Observed
Markdown alternate	Not observed in this response

Public observations · Collection method. Missing links here do not establish that a capability or file is absent elsewhere.