Troja vs. SiteShield: developer scanner vs. agency platform

Short version: SiteShield publishes a broad public-site assessment across security, accessibility, performance, SEO, AEO, GEO and ESG signals, with four named AI-visibility perspectives and remediation services. Troja is developer-first, pairing security + SEO + AEO with connected-provider context, per-finding fixes and an MCP workflow.

What is SiteShield?

As reviewed on July 18, 2026, SiteShield describes public-site analysis across security, accessibility, performance, technical SEO, analytics, AEO, GEO, AI visibility and ESG signals. It names Perplexity, ChatGPT, Gemini and Claude in its visibility coverage and positions reports plus remediation for organizations and agencies. Its public material does not describe an authenticated application scan.

Troja vs. SiteShield at a glance

Where SiteShield is strong

SiteShield has a wide public-site lens: its current material explicitly covers GEO, ESG, accessibility, analytics/consent and four named AI-visibility perspectives. For an agency or institution, that cross-disciplinary reporting scope can be the central deliverable.

Where Troja goes further

SiteShield's reviewed public workflow centers on public-site reporting and remediation services. Troja centers on a developer-owned queue, with connected provider categories, editor-oriented prompts, monitoring and verification. Ask either vendor to document anything beyond its published scope rather than treating a shared category label as identical coverage.

Which should you choose?

• You're an agency or institution that wants a broad, presentable audit (GEO + ESG + accessibility) with optional white-glove remediation → SiteShield.
• You're a builder who wants to find it, understand it and fix it yourself — with AI prompts, deep-stack scans and editor integration → Troja.

Different jobs: SiteShield packages a verdict for a stakeholder; Troja puts the fix in your hands.

Decide by deliverable, not by the shared word “audit”

SiteShield's July 2026 product page describes a broad public-site assessment spanning security, accessibility, performance, SEO, AEO, GEO and ESG signals, including visibility checks associated with Perplexity, ChatGPT, Gemini and Claude. Its report and remediation positioning suits agencies and institutions that need to communicate a cross-disciplinary baseline. Troja is designed for the developer who owns a technical queue and wants connected context, code-oriented remediation and retesting.

Those workflows can coexist. A stakeholder report may identify that a public site lacks a consent signal, has weak structured content or performs poorly. The implementation team still needs an owner, an acceptance test and evidence that the fix did not break another route. Conversely, a developer-focused finding may be too detailed for an executive audience until it is grouped by risk and outcome.

Questions to ask during a proof of concept

• What is actually fetched? List public pages, rendered states, third-party datasets and any connected services. SiteShield's published scope is public-site analysis; do not infer access to authenticated product areas.
• What is measured versus recommended? A live engine observation, a robots directive and a content recommendation have different confidence levels.
• How is remediation handed off? Ask for an example that includes the affected URL, evidence, owner, priority and verification step.
• Can results be compared over time? A score is useful only when crawl scope and scoring methodology remain comparable.
• Who needs the output? Choose the artifact that the client, accessibility owner, developer and security reviewer can each act on.

Pick SiteShield when breadth, accessibility/governance context and a presentation-ready public-site assessment are the primary purchase. Pick Troja when connected stack signals and an editor-centered fix loop are the release gate. If both teams are involved, establish a single issue register so the same weak header or crawl block is not counted twice.

Define “done” differently for each discipline. An accessibility issue needs a user-centered retest, a search issue needs canonical/index evidence, and a security issue needs a control test under the relevant identity. A broad audit becomes operational only when those acceptance criteria survive the move from the presentation into the engineering backlog.

No public audit verifies authorization inside a customer account. Add manual role and object-access tests, and label that exclusion in the report. For the AI-visibility layer, read what AEO means in 2026; for the wider market, use the seven-tool comparison.