Syntropic AI Visibility Audit

What is Syntropic AI Visibility Audit?

AI Visibility Audit is an open-source, self-hosted tool from Syntropic (legal entity VECTORLENS Sp. z o.o.), a Poland-based ecommerce-AI agency, that checks whether ChatGPT, Gemini and Google's AI Overviews and AI Mode recommend a brand, or a named competitor, for real buyer questions like "best running shoes for flat feet" or "where to buy an espresso machine under $500." It ships as a Docker Compose stack a buyer runs on their own infrastructure and turns the results into a client-ready PDF report: which competitor gets recommended instead, which buyer queries the brand is invisible for, and what to fix first.

What does Syntropic AI Visibility Audit do?

Point it at a store or brand domain and it uses Gemini plus Exa to auto-generate the realistic buyer questions shoppers ask about the category and to discover the named competitors worth tracking, instead of requiring a hand-written prompt list. It then fires those buyer questions at ChatGPT, Gemini and Google AI Mode through Bright Data's scraping API, and at Google AI Overview through DataForSEO, and records which store gets named, recommended or cited in each answer, plus which domains the AI cites as its sources. A dashboard breaks results down by topic (which product categories win or lose in AI answers), by prompt (how often the brand is named and the trend over time), and by competitor share, and a sentiment pass scores how the brand is framed on the occasions it is mentioned. Everything rolls into a printable PDF built for a stakeholder, with a prioritized list of what to fix first. A built-in sample dataset loads in one click so the full dashboard and report can be explored with zero API keys before setting up a real audit. Release container images are signed with cosign, ship an SBOM and build-provenance attestation, and run as an unprivileged user.

How Syntropic AI Visibility Audit works

1. 1Point the tool at a store or brand domain; Gemini and Exa auto-generate the realistic buyer questions shoppers ask about the category and discover the named competitors worth tracking.
2. 2It fires those buyer questions at ChatGPT, Gemini and Google AI Mode through Bright Data's scraping API, and at Google AI Overview through DataForSEO, recording which store gets named, recommended or cited in each answer.
3. 3A dashboard breaks results down by topic, by prompt trend over time, and by competitor share, with a sentiment pass scoring how the brand is framed when it is mentioned.
4. 4Everything rolls into a printable, client-ready PDF with a prioritized list of what to fix first — or explore the whole flow first with the built-in one-click sample dataset and zero API keys.

Who is Syntropic AI Visibility Audit for?

• Ecommerce and DTC brands (or any company) that want a client-ready, one-time or recurring AI-visibility audit as a free, self-hosted, open-source Docker stack.
• Agencies that want a concrete pre-sales asset — a PDF showing a prospective client which named competitor AI recommends instead of them.
• Teams comfortable running their own Gemini/Exa/DataForSEO/(optionally) Bright Data keys who want to evaluate the format first using the built-in zero-key sample dataset.

Key features

• Buyer-query recommendation audit: Sends real "best X for Y" / "where to buy Z" buyer questions to ChatGPT, Gemini and Google AI Mode (via Bright Data) plus Google AI Overview (via DataForSEO), and records which store gets named, recommended or cited.
• Client-ready PDF report: Exports a stakeholder-ready PDF: KPIs, competitor share, the buyer queries you're missing, and a prioritized fix list.
• Auto-generated prompts + competitor discovery: Gemini and Exa generate the realistic buyer questions for a category and discover the named competitors worth tracking, rather than requiring a hand-written prompt list.
• Sentiment and source-citation tracking: Scores how a brand is framed when it IS mentioned, and records which domains the AI cites as sources, not just a binary named/not-named check.
• Zero-key sample dataset: A built-in sample dataset loads in one click, so the full dashboard and PDF report can be explored before wiring up any of the 4 required API keys.

What are Syntropic AI Visibility Audit's use cases?

• Agency pre-sales / competitive pitch: An agency runs a free audit against a prospective client's store to show, with a PDF, which named competitor AI recommends instead of them, a concrete lead-gen asset.
• Ongoing self-hosted visibility monitoring: An in-house growth team self-hosts the stack and re-runs the audit on a schedule to track whether new content or PR moves AI-recommendation share, without a per-seat SaaS subscription.
• Zero-key evaluation before committing: A buyer loads the built-in sample dataset first to confirm the dashboard and report format are worth the 4-API-key setup investment before spending anything.

What does Syntropic AI Visibility Audit integrate with?

• ChatGPT
• Gemini
• Google AI Overview
• Google AI Mode
• DataForSEO
• Bright Data
• Exa

Why use Syntropic AI Visibility Audit?

• A client-ready PDF report is the named deliverable, "a client-ready PDF you can hand to a stakeholder", a format none of this index's other free/self-hosted tools name.
• Ships with a one-click sample dataset, so the full dashboard and report can be evaluated before wiring up any of the four required API keys.
• Real supply-chain hygiene rare for a 5-star project: release images are keylessly signed with cosign, ship an SBOM and build-provenance attestation, and run as an unprivileged container user.

Pros & cons

Syntropic AI Visibility Audit pricing

• Self-hosted (open source)Free

See current pricing on github.com ↗Compare Syntropic AI Visibility Audit alternatives →

Syntropic AI Visibility Audit review

The only tool in this index that frames AI visibility as recommendation share for specific buyer queries, "best X for Y", "where to buy Z", and packages the result as a client-ready PDF, rather than continuous brand-mention monitoring. It is free, fully open source, and built by a real, checkable operator (Syntropic / VECTORLENS Sp. z o.o.) with genuine release-signing hygiene rare at its size. The honest catches: without a paid Bright Data account only Google AI Overview is tracked (ChatGPT, Gemini and Google AI Mode all sit behind it), there is no Claude or Perplexity coverage, and it is a young, single-maintainer, near-zero-traction project (5 GitHub stars, two Show HN posts that together drew 3 points). Pick it for an agency pitch deck or a self-hosted, buyer-query-framed audit; choose a hosted platform with broader engine coverage if Claude/Perplexity or zero-setup matter more.

A genuinely differentiated audit shape (buyer-query recommendation share, PDF deliverable) from a real, named operator, but verify the Bright Data cost/setup before promising a client full ChatGPT/Gemini/AI Mode coverage, since DataForSEO alone only covers Google AI Overview.

Frequently asked questions