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The neutral index of AI-visibility & GEO tools

Summary

Canonry is an answer-engine-optimization company that tracks whether AI assistants name and cite a brand and does the fixing work. It ships a self-hosted open-source platform, agency reporting products, per-market deployments and a managed AEO service.

Best for
developer-led or privacy-conscious teams and agencies that want a free, self-hosted AEO stack they can drive from Claude Code or Codex
Not for
non-technical marketers who want a zero-setup hosted dashboard, or anyone needing a managed plan with published pricing below agency-scale quotes
From
Free
Free tier
YesFree page-level site check with no signup, capped at 10 checks per hour from one IP address; the full open-source Canonry platform is MIT-licensed and self-hostable at no licence fee, with provider and infrastructure costs borne by the operator.
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What it does

Monitors AI answers
YesScheduled runs record mentions, citations and omissions per question and engine, and the same record is what both the service and the self-hosted platform report on.Scheduled checks record whether each AI tool mentions your brand, cites your site, or leaves you out, along with the competitors it names.canonry.ai
Optimises your content
YesA free 16-check page audit scores existing pages, returns evidence per check and ranks the top three fixes, and the same model drives paid engagements.You get a score from 0 to 100, evidence for each check, and the text AI found. The top three fixes are ranked by their likely impact.canonry.ai/audit
Generates content
YesContent writing is part of the AEO work Canonry's own team performs, alongside structured data and brand-fact consistency; it is a service output, not a generator you drive yourself.We clarify business details, write useful content, add structured data, and keep your brand information consistent across the web.canonry.ai
Publishes to your site
PartlyWith integrations configured the platform can push fixes into WordPress and submit pages for indexing, but publishing is documented for WordPress only and on the platform you host yourself.With the right integrations configured, Canonry can help execute fixes through WordPress, JSON-LD schema workflows, and indexing submissions.canonry.ai/llms-full.txt
Technical AEO
YesTechnical AEO is the core of the published methodology: JSON-LD carries the heaviest weight, with separate checks for llms.txt, robots.txt, sitemaps and AI bot access.These 16 checks cover your site's technical foundations, with the most weight given to JSON-LD structured data.canonry.ai/aeo-methodology
Done-for-you service
YesCanonry's own team runs research, fixes, tracking and client reporting under an agency's brand, with the agency keeping pricing and the client relationship.We deliver AEO under your brand while you keep the client relationship. Our team handles research, planning, technical and content fixes, tracking,…canonry.ai/white-label-aeo-for-agencies

Answer engines

ChatGPT
YesChatGPT is one of the five engines the vendor says it focuses on, and the self-hosted platform lists OpenAI among its supported providers.We focus on ChatGPT, Claude, Gemini, Perplexity, and Copilot, and also track Grok, Meta AI, and DeepSeek.canonry.ai
Perplexity
YesPerplexity is named in the focus list and is also a supported provider in the open-source platform, so it is covered on both the service and self-hosted paths.Canonry supports Gemini, OpenAI, Claude, Perplexity, and local models with OpenAI-compatible APIs.canonry.ai/open-source-platform
Gemini
YesGemini is in the vendor's focus list and in the open-source platform's supported provider list, and case-study observations cite Gemini inline citations.Canonry supports Gemini, OpenAI, Claude, Perplexity, and local models with OpenAI-compatible APIs.canonry.ai/open-source-platform
Google AI Overviews
NoThe vendor's complete inventory of tracked AI tools names eight chat assistants and no Google search surface; AI Overviews appear only as discussion in blog and methodology prose.We focus on ChatGPT, Claude, Gemini, Perplexity, and Copilot, and also track Grok, Meta AI, and DeepSeek.canonry.ai
Google AI Mode
NoGoogle AI Mode is absent from the eight-engine tracking inventory; the Google-side data Canonry connects is Search Console and Business Profile, not AI Mode placements.We focus on ChatGPT, Claude, Gemini, Perplexity, and Copilot, and also track Grok, Meta AI, and DeepSeek.canonry.ai
Claude
YesClaude is in the focus list, a supported provider in the self-hosted platform, and one of the three engines whose answers the sentiment feature classifies.Canonry supports Gemini, OpenAI, Claude, Perplexity, and local models with OpenAI-compatible APIs.canonry.ai/open-source-platform
Microsoft Copilot
PartlyCopilot is named among the five engines the service focuses on, but it is absent from the open-source platform's supported provider list, so self-hosted operators do not get it.Canonry supports Gemini, OpenAI, Claude, Perplexity, and local models with OpenAI-compatible APIs.canonry.ai/open-source-platform
Grok
PartlyGrok is listed as tracked but outside the five focus engines, and the self-hosted platform's provider list does not include xAI, so coverage sits with the serviced offerings.We focus on ChatGPT, Claude, Gemini, Perplexity, and Copilot, and also track Grok, Meta AI, and DeepSeek.canonry.ai
DeepSeek
PartlyDeepSeek is in the secondary 'also track' group rather than the focus five, and it is not among the open-source platform's named providers.We focus on ChatGPT, Claude, Gemini, Perplexity, and Copilot, and also track Grok, Meta AI, and DeepSeek.canonry.ai
Meta AI
PartlyMeta AI is named only in the secondary tracked group, with no provider adapter listed for the self-hosted platform, so it is service-side coverage rather than product-wide.We focus on ChatGPT, Claude, Gemini, Perplexity, and Copilot, and also track Grok, Meta AI, and DeepSeek.canonry.ai
Coverage in the vendor’s words
YesThe vendor states a two-ring inventory: five focus engines plus three also-tracked ones, with the self-hosted build limited to four providers and local models.We focus on ChatGPT, Claude, Gemini, Perplexity, and Copilot, and also track Grok, Meta AI, and DeepSeek.canonry.ai

What it reports

Names the cited sources
YesCitation share is a first-class metric beside mention share, and each stored answer keeps the cited URLs and the sources that supported it.Citation share is the share that link to the client's domain as a source.canonry.ai/embedded
Competitor tracking
YesCompetitors found in a tracked brand's own AI answers are reported beside it, including share of answers, and the client portal view exposes the same comparison.Yes. It shows competitors in that client's AI answers. You can see who AI names or links to instead of your client.canonry.ai/embedded
Brand sentiment
PartlySentiment scoring exists with per-verdict source quotes across three engines, but the vendor labels it experimental, ships it off by default and requires a third-party TypeSafe key.Canonry 5.30 adds sentiment scores using Jev from TypeSafe.canonry.ai/blog/canonry-sentiment-analy…
Recommendations
YesOutput is prescriptive rather than purely descriptive: the audit ranks three fixes by likely impact, and the platform's loop has an agent plan work for human approval.You get a score from 0 to 100, evidence for each check, and the text AI found. The top three fixes are ranked by their likely impact.canonry.ai/audit
AI crawler analytics
YesServer logs from supported hosts are read without a browser tag and grouped into AI bot visits, user-requested fetches and clicks arriving from AI links, with verification status kept.We read server logs from supported hosts without adding a browser tag or changing your site's app code.canonry.ai/custom
Wrong answers about you
PartlyMonitoring records whether the business is misdescribed, but no dedicated false-claim flag or alert is documented; the vendor attributes hallucination detection to other tools in its own comparison table.The system tracks whether the business is cited, mentioned, absent, or misdescribed across models over time.canonry.ai/ai-search-visibility

Plans and signing up

Prompt or credit allowance
PartlyThe self-hosted platform meters nothing: you supply provider keys and pay token and grounding costs. The hosted Embedded product is priced per client with no published prompt allowance.Canonry does not meter checks, but measurement is not free. The operator supplies provider keys and pays the underlying grounding and token costs.canonry.ai/blog/canonry-vs-paid-ai-visi…
Projects or brands
YesSeveral brands or markets are the design centre: Custom keeps each market as its own target under one domain, and the platform manages many clients declaratively.Canonry keeps each result with its market and shows all markets together.canonry.ai/custom
Countries
YesLocation is a configured variable rather than an artefact of where the probe runs, so the same prompt set can be run against different markets and each result keeps its location.you can run the same prompt set from different geographiescanonry.ai/llms-full.txt
How often it checks
YesThe stated service cadence is weekly with diffs, and the self-hosted platform supports both on-demand runs and scheduled runs set by the operator.Canonry tracks each signal above against each model on a weekly cadence with diffscanonry.ai/llms-full.txt
Card required to start
NoThe free page check asks for nothing at all: no signup, no email and no card, with a published fair-use ceiling instead of a payment wall.Full results are free, with no signup.canonry.ai/audit
Self-serve signup
PartlyThe free audit and the self-hosted platform need no contact at all, but every paid offering (Embedded, Custom, Managed, the full report) is scoped and priced through Canonry first.Embedded has a price per client. We help you get started and give you an estimate based on your client count.canonry.ai

Access and integrations

API
YesThe self-hosted platform exposes a versioned REST API alongside CLI and webhooks, with the dashboard described as just another client of the same project API.Other agents can use CLI commands with JSON output, a versioned REST API, or MCP tools loaded as needed.canonry.ai/open-source-platform
MCP server
YesAn MCP adapter fronts the same project API for any MCP-capable agent, with native Codex and Claude Code plugins as the alternative path (the vendor says not to run both).Canonry gives your agent evidence, tools, spending limits, and approval checks through CLI, REST, MCP, webhooks, or a Codex or Claude Code plugin.canonry.ai/open-source-platform
BI export
PartlyNo Looker, Power BI or warehouse connector is published; the export path is the operator-owned SQLite file plus REST and JSON CLI output.By default, its project data lives in one SQLite file on your machine or server. You control the provider keys, backups, and deployment.canonry.ai/open-source-platform

Checked · How we check

Alternatives

  • Trakkr

    AI visibility tracking with citation, perception and crawler data, plus article generation and site fixes.

Filed under

APIBrand monitoringChatGPTClaudeContent optimizationGeminiPerplexity

Sources and updates

Repository2026-08-30

Stars
126
Forks
14
Last push
2026-08-30

CitedIndex in AI answers1 of 4

  • PerplexityCites CitedIndexAsked Canonry alternatives on Other sources: canonry.ai, libhunt.com, agentskillshub.top, openalternative.co, reddit.com, academicdictionary.com
  • ChatGPTDoes not cite CitedIndexAsked Canonry alternatives on Other sources: producthunt.com, learnist.org, app.rankology.io, tooliverse.ai, toolhunt.eu, tryanalyze.ai
  • ClaudeListed no sourcesAsked Canonry alternatives on
  • GeminiDoes not cite CitedIndexAsked Canonry alternatives on Other sources: encyclopedia.pub, wikipedia.org, thepriest.com, globalsistersreport.org, futurechurch.org, vatican.va

Updates6

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