Open source · MIT licensed

Measure how AI search finds and cites your brand.

Combine a free technical SEO audit with AI visibility tracking across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Use the open-source MCP server or save projects in your workspace.

Run a free technical SEO audit Explore the open-source MCP

Free audit · no account · no AI MIT licensed · 5 AI engines · self-host in about 5 minutes

A practical first step

See the technical SEO fixes hiding in one page.

Get a no-AI snapshot from PageSpeed Insights, W3C HTML validation, and transparent on-page checks.

No account required · one public URL · results in one report

Run a free SEO audit

Measure AI search visibility across the assistants your customers use

  • ChatGPT
  • Claude
  • Perplexity
  • Gemini
  • Google AI Overviews

The problem

Rankings do not show how AI search describes your brand.

Traditional SEO tools tell you where you rank in Google's blue links. They do not show how ChatGPT, Claude, or Perplexity describe your brand. DigestSEO adds that missing layer with an open-source MCP server that tracks mentions, citations, prompts, and competitor context alongside your technical SEO audit.

How it works

From technical SEO audit to AI visibility insight in three steps.

01

Start with a public URL

Run a free technical SEO audit with no account, or create a workspace to save projects, schedules, and crawl history.

02

See what needs attention

Review technical issues by priority, then track how ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews mention or cite your brand.

03

Act, schedule, and compare

Fix the highest-impact issues, rerun a crawl when you need it, schedule recurring checks, or query AI visibility data through the open-source MCP server.

See AI visibility data in context

See the kind of AI visibility report the open-source mcp-geo MCP server produces, then open the full breakdown for prompts, citations, and competitors.

Example AI visibility report — click to see the full breakdown on the mcp-geo page

View the full AI visibility report →

Why DigestSEO

A more open workflow for technical SEO and AI visibility.

Profound / Otterly

  • ·Closed SaaS
  • ·No self-host option
  • ·Enterprise-focused

Ahrefs Brand Radar

  • ·One feature inside a bigger enterprise SEO suite
  • ·Not built around MCP
  • ·Locked into a larger contract
Open source

DigestSEO

  • ✓Open source, MIT licensed
  • ✓Self-host free on Cloudflare
  • ✓MCP-first — query results in Claude
  • ✓Built for indie SaaS founders

Self-host

Run it yourself — free, MIT licensed.

Deploy the MCP server to your own Cloudflare account in about 5 minutes — the free Workers + D1 tiers cover a single brand. Your data stays on your infrastructure, and you pay only the engine API costs: with the recommended OpenAI + Anthropic starting pair, solo evaluation runs comfortably under €1/month. Engines are opt-in — you only configure the API keys you actually have.

Read the docs on GitHub Step-by-step setup guide
~/mcp-geo 
# ~5-minute deploy — full guide in SETUP.md
git clone https://github.com/AKzar1el/mcp-geo.git
cd mcp-geo && npm install
npx wrangler login
cp wrangler.example.jsonc wrangler.jsonc
# create KV + D1; set SEED_SECRET, CONNECT_SECRET, and engine keys…
npx wrangler d1 migrations apply digestseo-db --remote
npx wrangler deploy
✓ Deployed to workers.dev

DigestSEO workspace

Keep your Site Audit work in one place.

Create a free account to save Site Audit projects and manage your audit history. Start with a public-page audit, then use the workspace as you build a repeatable technical SEO workflow.

Create your workspace Run a free site audit →

FAQ

Frequently asked questions

What is AI visibility tracking?

AI visibility tracking measures whether — and how — AI assistants like ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews mention or cite your brand when users ask questions in your category. It's the AI-search equivalent of rank tracking: instead of positions in blue links, you track citations in AI answers.

What is generative engine optimization (GEO)?

Generative engine optimization (GEO, also called answer engine optimization or AEO) is the practice of improving how often AI engines cite your brand and content in their answers. The first step is measurement: DigestSEO tracks per-engine citations over time so you can see which prompts you win, which competitors win, and where your content gaps are.

Which AI engines does DigestSEO track?

Five engines: ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. When you self-host, each engine is opt-in — you only configure the API keys you actually have, and engines without keys are skipped.

What does DigestSEO cost?

The open-source MCP server (mcp-geo) is free under the MIT license and runs on Cloudflare's free Workers + D1 tiers. You pay only the AI engine API costs — with the recommended OpenAI + Anthropic starting pair, solo evaluation typically runs under €1/month. The public Site Audit is free to try without an account; create a workspace to save projects and manage your audit history.

How do I query my AI visibility data?

Through any MCP client: connect a self-hosted Worker to Claude.ai, Claude Desktop, Claude Code, Cursor, or Codex CLI, or run the package locally with npx -y digestseo-mcp. Six visibility and analysis tools work in both runtimes; local npm, desktop-extension, and Docker installs also add track_brand, list_brands, and generate_prompts.

Built by

DigestSEO is built by a solo founder in Ljubljana, Slovenia. The MCP is open source under the MIT license. The Site Audit workspace is available now; see the code and product updates on GitHub.

Start tracking your AI visibility today.

Run a free Site Audit or create a workspace.

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