KeywordGraph

Overview

KeywordGraph is a graph-native SEO research platform from Nodus Labs. Instead of presenting keyword ideas only as rows in a spreadsheet, it combines search queries, related-search language, SERP results, competitor pages, and a site’s own content into interactive graphs.

Its GEO relevance is primarily planning and content-structure oriented. The product can help a team compare what people search for with what current results cover, identify topical gaps, and produce passage briefs or content plans. It is not a prompt-monitoring dashboard and it does not independently prove that a page will be cited by ChatGPT, Google AI Overviews, Perplexity, or another answer surface.

• Best for: SEO and content teams that need to turn large keyword exports into topic clusters, demand-versus-supply gaps, and a prioritized publishing plan.
• Not ideal for: Buyers who need rank tracking, recurring AI-answer visibility measurement, backlink intelligence, or a managed editorial workflow.
• Pricing: The official pricing page currently shows Basic at €12/month, Advanced at €32/month, and Premium at €66/month, with a 14-day trial. Prices exclude VAT for EU private customers and annual billing displays savings; confirm the billing mode at checkout.
• Product type: Graph-based SEO research and semantic content-planning SaaS.
• Primary strength: Making relationships between queries, entities, clusters, and content gaps visible.
• Most important caveat: Public independent customer evidence is sparse, and graph-based opportunities remain hypotheses that require editorial judgment and outcome measurement.

Who should use KeywordGraph?

Best for

• SEO strategists planning topic clusters rather than isolated keyword pages
• Content teams comparing search demand with current SERP coverage
• Agencies importing Ahrefs, Semrush, or Google Search Console exports for client planning
• GEO teams that want a research layer before writing pages intended to be retrieved or cited
• Analysts who prefer network visualizations to flat keyword tables
• Teams experimenting with MCP-connected SEO research in ChatGPT, Claude, Cursor, or Codex
• Multilingual teams that need to inspect search relationships across several languages

Not ideal for

• Teams that primarily need daily rankings, backlink monitoring, or technical crawling
• Buyers looking for direct measurement of AI mentions, citations, or share of voice
• Small projects where a short manually reviewed keyword list is sufficient
• Organizations that need a full content calendar, publishing system, or CMS deployment layer
• Commercial teams that require a large, independently audited review sample before adoption
• Users who cannot validate scraped data, generated briefs, and AI-assisted interpretations

Quick facts

Fact	Details
Primary use case	Search-intent mapping, topic clustering, content-gap analysis, and semantic SEO planning
Main category	Content optimization
Pricing	Basic €12/month, Advanced €32/month, Premium €66/month as displayed on the official pricing page; annual-billing savings and VAT treatment require confirmation
Trial	14-day free trial on all displayed plans
Core inputs	Search queries, related searches, SERPs, competitor websites, YouTube, Amazon, sitemaps, and CSV exports
Core outputs	Interactive graphs, topic clusters, gap views, exports, reports, and passage briefs
AI workflow	SEO MCP Server for compatible clients; plan access and request limits differ
API limits	Official comparison lists 70 weekly requests on Basic, 350 on Advanced, and 3,000 on Premium
AI credit limits	Official comparison lists 40, 100, and 500 GPT-4 credits per hour for Basic, Advanced, and Premium
SERP volume	Official comparison lists 40, 60, and 100 Google results analyzed by plan
Commercial use	Not included on Basic; listed on Advanced and Premium
Upload limits	TXT/CSV/JSON: 300 KB, 2 MB, and 10 MB; PDF: 1 MB, 5 MB, and 50 MB
Hosting option	Self-hosted enterprise instance from €9,900/year plus a €2,900 setup fee, according to the official page
Last reviewed	September 10, 2026

AICiteKit editorial verdict

KeywordGraph is a useful candidate when the bottleneck is not “find another keyword,” but decide how a set of queries, entities, and competing pages should become a coherent content system. Its demand graph, supply graph, and gap comparison give a team a more structural planning artifact than a keyword-volume export alone.

The tool is especially relevant to GEO because AI-search content benefits from clear entity coverage, internally coherent topic clusters, and pages that answer the actual question behind a query. That is a planning rationale, not outcome evidence. KeywordGraph’s official materials describe LLMO and AI-search workflows, but no independent controlled study was found showing that using the product increases rankings, citations, traffic, or revenue.

Bottom line: Consider KeywordGraph as a research and content-architecture layer. Pair it with a dedicated visibility monitor such as Peec AI, AI Search Console, or Otterly.AI when the requirement is to measure observed answers and citations rather than plan the content that may earn them.

What does KeywordGraph do?

A typical workflow is:

1. Start with a seed query or import an existing keyword list.
2. Build a demand graph from related queries, search suggestions, and People-Also-Ask-style data.
3. Build a supply graph from current Google results and competitor content.
4. Inspect clusters, central entities, bridges, and weakly covered topics.
5. Overlay demand and supply to identify content gaps.
6. Turn selected gaps into a publishing plan, passage brief, or content outline.
7. Export data or connect the SEO MCP Server to an approved LLM client.
8. Review the proposed page against the actual audience, sources, and site architecture before publishing.
9. Re-run the analysis later because query demand and SERP coverage change.

The graph is a decision aid. It does not remove the need to check search intent, source quality, factual accuracy, cannibalization, and the site’s ability to satisfy the user.

Core features and practical workflow

1. Demand and search-intent graphs

KeywordGraph describes graphs built from related search phrases and other search-intent signals. This can expose adjacent clusters that a volume-sorted list hides: different audiences, platforms, formats, questions, or jobs-to-be-done around the same head term.

Use the graph to ask:

• Which concepts belong on one authoritative page?
• Which questions deserve their own page?
• Which terms indicate a different audience or commercial stage?
• Which relationships connect two otherwise separate topic clusters?

Search-intent data is an observed input, not a complete model of every user. Sampling, locale, language, and source availability can change the graph.

2. SERP and supply analysis

The platform can visualize Google results and competitor content, then compare the supply graph with the demand graph. This helps a team distinguish a genuine coverage gap from a query where the current results already address the apparent opportunity.

A responsible review should check the underlying pages rather than publish directly from a graph label. A graph can identify a cluster; it cannot determine whether the cluster belongs in the brand’s product, whether the query is commercially valuable, or whether a proposed page would be meaningfully different.

3. Content-gap analysis

KeywordGraph’s central comparison is the difference between what people appear to search for and what current results cover. The output can support:

• Perimeter pages around an existing topic cluster
• Bridge pages connecting two related themes
• Refresh priorities for thin or outdated coverage
• Briefs that include entities and questions rather than only keywords
• A quarterly review of changing demand and supply

The platform’s “informational gain” and gap language is a planning framework. It should not be presented as proof that a gap will rank or earn an AI citation.

4. Imports, exports, and multiple sources

The official product page lists imports from Ahrefs, Semrush, Google Search Console, and custom CSV files. It also describes data collection from Google, YouTube, Amazon, competitor websites, and sitemaps, plus exports such as CSV, PNG, and GEXF.

This creates a useful division of labor: an established SEO platform can supply its proprietary metrics while KeywordGraph supplies graph-based organization. Buyers should confirm the current import schema, row limits, API permissions, regional behavior, and whether a source requires a separate account or provider quota.

5. Passage briefs and AI-assisted planning

The About page describes passage briefs for LLMO and topical-authority work. The broader workflow can use AI credits to summarize or interpret graph data.

Treat a generated brief as a draft research artifact. Editors should verify:

• Every factual claim and cited source
• Whether the proposed entities are relevant to the page
• Whether the page has a genuinely distinct purpose
• Whether the outline is useful to a person, not only optimized for a model
• Whether the internal-link recommendations fit the site’s information architecture

6. SEO MCP Server

The official homepage and MCP page describe an SEO MCP Server at https://mcp.keywordgraph.com, with setup guidance for clients including ChatGPT, Claude, Cursor, and Codex. The stated workflow gives an LLM access to search intent, SERPs, competitor comparisons, and SEO reports.

MCP access is an integration mechanism, not proof that an LLM’s output is accurate or that content will be cited. Confirm authentication, account-level entitlement, request quotas, data retention, and which sources are queried before connecting a production workspace.

7. Privacy and hosting choices

The homepage says data is private by default, can be exported or erased, and is hosted on EU servers. The terms say customer data is used as necessary to provide the service and prohibit sensitive personal information such as PCI, HIPAA, and EU GDPR special-category data.

Those statements support a preliminary privacy review, not a blanket compliance approval. A procurement or security team should read the current terms, confirm subprocessors and retention, and avoid uploading data that the terms exclude.

AI-search and platform coverage

KeywordGraph’s product and editorial pages use SEO, LLMO, AI-search, and knowledge-graph language. Its documented workflow is strongest for research inputs and content planning:

• Search intent and related queries
• SERP and competitor content
• Topic and entity relationships
• Demand-versus-supply gaps
• Passage briefs and LLM-assisted workflows
• MCP access to the research layer

This is not the same as directly tracking whether a brand appears in a fixed prompt set. The public pages reviewed do not establish a complete model-by-model visibility matrix, citation methodology, refresh schedule, or raw-answer archive. Use a dedicated monitoring product for those questions.

Pricing, plans, and limits

The official pricing page checked September 10, 2026 displays three recurring plans:

Plan	Displayed price	Selected limits and access	Commercial boundary
Basic	€12/month	40 GPT-4 credits/hour, 70 API requests/week, 40 Google results, 300 KB text upload, 1 MB PDF upload	Personal/academic use only; API and MCP access limited
Advanced	€32/month	100 GPT-4 credits/hour, 350 API requests/week, 60 Google results, 2 MB text upload, 5 MB PDF upload	Commercial use, API, broader MCP access, dedicated support
Premium	€66/month	500 GPT-4 credits/hour, 3,000 API requests/week, 100 Google results, 10 MB text upload, 50 MB PDF upload	Commercial use, higher quotas, training, faster support

All displayed plans include a 14-day free trial. The pricing page says prices exclude VAT for EU private customers and promotes annual-billing savings. Buyers should confirm whether the account is charged monthly or annually, how “GPT-4 credits” are consumed, and whether quotas apply per user, project, or account.

The official page also lists a self-hosted enterprise instance starting at €9,900/year plus a €2,900 setup fee. This is a separate deployment model, not a self-hosted version of the €12 Basic plan. Confirm infrastructure, upgrades, support, data residency, and the scope of professional services.

The terms state that Basic is for personal or academic use, while commercial use is permitted on Advanced or Premium. They also describe a 14-day trial, cancellation/renewal terms, no ordinary refunds outside the initial trial or stated money-back guarantee, and a possible response time of up to 48 hours. Legal terms can change; read the current agreement before purchase.

Strengths

• Makes relationships and clusters visible rather than hiding them in rows
• Connects demand, SERP supply, site content, and competitor analysis
• Supports imports from common SEO data sources
• Offers exports useful for analysis and stakeholder communication
• Low displayed entry price compared with enterprise content platforms
• MCP workflow can place graph-based research inside an LLM client
• Commercial-use and quota differences are explicit in the public comparison
• Multilingual positioning may help teams researching more than English queries

Tradeoffs and limitations

A graph is not a causal SEO experiment

A visible gap may be worth investigating, but it does not prove ranking potential, conversion value, or AI citation likelihood. Test prioritized pages against a documented baseline.

Data-source and quota details matter

The number of results, imports, API requests, AI credits, and upload sizes varies by plan. Confirm whether the quota is per hour, week, user, or account, and whether connected providers impose separate costs.

Basic is not a commercial plan

The lowest displayed price is restricted to personal or academic use. Agencies and commercial brands should budget from Advanced or Premium, not use Basic as the commercial starting point.

Public independent evidence is immature

Searches on September 10, 2026 did not surface a reliable G2/Capterra review profile or a substantial independent hands-on review for KeywordGraph. The underlying Nodus Labs research and community presence provide context, but they do not substitute for product-specific customer evidence.

MCP and AI output require governance

Connecting a research tool to an LLM can improve workflow speed while also increasing the risk of unsupported briefs, wrong interpretations, or accidental data exposure. Use least-privilege access and human review.

It does not replace measurement tools

KeywordGraph can inform what to publish. It does not, on the public evidence checked, provide the same job as a recurring prompt tracker, citation monitor, rank tracker, web crawler, or revenue-attribution platform.

User reviews and market feedback

Evidence snapshot

Source	Public signal	What it supports	Confidence
KeywordGraph official homepage	Current product page describes demand/SERP graphs, gap analysis, imports, exports, multilingual use, private-by-default data, MCP access, and pricing modules; checked September 10, 2026	Product scope, workflow, and vendor-displayed capabilities	High for stated scope; not independent outcome evidence
KeywordGraph official pricing page	Basic €12, Advanced €32, Premium €66 per month displayed; 14-day trials, quotas, commercial-use rules, and self-hosted pricing shown; checked September 10, 2026	Current public commercial model and plan limits	High for displayed terms; confirm billing and account entitlement
KeywordGraph About page	Describes the graph-native SEO workflow, Nodus Labs origin, peer-reviewed text-network-analysis background, and free-trial feature set	Product history and intended workflow	Medium-high; vendor-authored
KeywordGraph terms	June 2026 terms cover trial duration, commercial-use tiers, data responsibilities, prohibited sensitive data, renewal/cancellation, and support boundaries	Legal and operational verification questions	High for the published terms; not a security certification
Nodus Labs keyword-graph research	Background on the underlying text-network-analysis approach and related publications	Method context for graph visualization	Medium; underlying method is not independent validation of KeywordGraph outcomes
KeywordGraph SEO MCP documentation	Setup guidance for connecting the research workflow to compatible LLM clients	Integration existence and setup path	High for documented availability; quotas and output quality still require testing
KeywordGraph community/contact page	Points users to a Discord and r/InfraNodus community; no reliable product-specific review aggregate was exposed in the checked search	Community support path and evidence scarcity	Low-medium; absence of a review sample is not a quality judgment
AICiteKit assessment	No paid KeywordGraph trial or controlled content experiment completed by AICiteKit	Evidence boundary	N/A

Recurring positive themes

The public evidence supports these directional positives:

• The graph view is a differentiated alternative to flat keyword tables.
• The workflow connects search demand, SERP supply, and content gaps.
• Imports and exports allow KeywordGraph to complement rather than fully replace Ahrefs, Semrush, or Search Console.
• The MCP integration may reduce context switching for teams already using LLM clients.
• The displayed entry price is accessible for experimentation, subject to the Basic commercial-use restriction.

These are product-fit observations, not independently verified customer outcomes. No sufficiently large public review sample was found to claim a broad user consensus.

Recurring concerns and tradeoffs

Because independent product-specific reviews are sparse, the strongest concerns come from the documented terms and plan comparison:

• Basic cannot be used for commercial work.
• Quotas and AI credits can constrain heavier research workflows.
• Self-hosting has a substantial setup and annual cost.
• Data retention, provider dependencies, and uploaded-content responsibilities require security review.
• AI-generated briefs and graph interpretations still need editorial validation.
• The public evidence does not establish citation lift, ranking lift, traffic growth, or revenue impact.

How much should buyers trust the evidence?

Trust the official sources for features, displayed prices, quotas, and legal terms. Treat the Nodus Labs research background as method context rather than a product-outcome study. Independent customer evidence is currently too sparse to support a rating, satisfaction consensus, or causal claim. A buyer should run a bounded trial with a known topic set and preserve the raw graphs, queries, source pages, briefs, and resulting content decisions.

AICiteKit interpretation

KeywordGraph is a credible graph-based planning tool whose strongest evidence is about workflow design, not SEO or GEO outcomes. Its value should be tested by whether it improves the quality and prioritization of a publishing plan—not by assuming that a graph automatically creates rankings or AI citations.

What to verify during a trial

1. Whether the 14-day trial includes the intended plan’s full graph, API, and MCP capabilities.
2. How many queries, SERP results, imports, AI credits, and API requests a real project consumes.
3. Whether quotas are per account, project, user, hour, or week.
4. Which search regions, languages, and Google result types are available for the target market.
5. How competitor pages and uploaded customer content are stored, processed, and deleted.
6. Whether the MCP server exposes raw sources and dates alongside its summaries.
7. How passage briefs distinguish observed source material from model-generated recommendations.
8. Whether exports preserve the metadata needed for later audit and comparison.
9. Whether commercial-use rights cover the agency’s client reporting and white-label workflow.
10. Whether a prioritized gap led to a materially better page than the team’s existing research process.
11. Which independent visibility measurement will test any later change in rankings, citations, or traffic.

Competitors and alternatives

Tool	Best fit	Key difference
AlsoAsked	Question and query research	More focused on question trees and People-Also-Ask exploration
MarketMuse	Enterprise content intelligence	Broader content inventory, briefs, and optimization workflow
InLinks	Entity SEO and internal linking	More focused on site entities, schema, and link implementation
WordLift	Knowledge graphs and semantic content	More focused on persistent on-site entity relationships and structured context
Frase	Content research and writing	More writing- and brief-oriented than graph-native
Peec AI	AI visibility measurement	Measures observed AI answers and citations rather than planning topic graphs

KeywordGraph can complement these products. It should not be positioned as a universal replacement for all of them.

Recommended workflows

Build a demand-to-publishing map

1. Start with a business-critical seed topic.
2. Capture the demand graph and label major clusters.
3. Inspect the supply graph and open representative pages.
4. Compare gaps and remove irrelevant or low-quality opportunities.
5. Assign one canonical page to each important entity or cluster.
6. Add bridge pages only when they resolve a real relationship.
7. Publish, internally link, and monitor both user behavior and AI-answer representation separately.

Use KeywordGraph with an existing SEO platform

1. Export a bounded keyword set from Ahrefs, Semrush, or Search Console.
2. Import it into KeywordGraph without exposing unnecessary personal or sensitive data.
3. Compare the graph clusters with existing site pages.
4. Send only the selected gap and its supporting sources into an LLM workflow.
5. Validate the resulting brief against editorial and brand requirements.
6. Track what was actually published and which evidence supported the decision.

Evaluate AI-search content without overclaiming

1. Define a prompt set and target markets before publishing.
2. Use KeywordGraph to plan entity coverage and source-backed pages.
3. Record the baseline answers and citations in a separate visibility tool.
4. Publish the content and preserve the changed URLs and dates.
5. Re-run the same prompts after an appropriate interval.
6. Report observed changes without claiming that KeywordGraph alone caused them.

Frequently asked questions

Is KeywordGraph a GEO or AI-visibility tracker?

Not primarily. It is a graph-based research and content-planning tool with LLMO and AI-search workflows. It does not replace a dedicated prompt, answer, or citation monitor.

How much does KeywordGraph cost?

The official pricing page checked September 10, 2026 displays Basic at €12/month, Advanced at €32/month, and Premium at €66/month. It also advertises a 14-day trial and a separate self-hosted option starting at €9,900/year plus €2,900 setup. Confirm the billing mode, VAT, quotas, and commercial-use entitlement before purchase.

Can commercial teams use the Basic plan?

The current terms say Basic is for personal or academic use and commercial use is permitted on Advanced or Premium. Agencies and brands should verify the license for their exact workflow.

Does KeywordGraph connect to ChatGPT or Claude?

The official site documents an SEO MCP Server and setup guidance for ChatGPT, Claude, Cursor, and Codex. Account access, limits, source coverage, and data handling should be tested before connecting a production workspace.

Does it generate content?

It can support AI-assisted analysis, passage briefs, and content planning. Treat generated material as a draft and keep human review for facts, sources, originality, brand voice, and final publication.

Does KeywordGraph guarantee rankings or AI citations?

No. The product can help organize research and identify content opportunities. It cannot guarantee rankings, citations, traffic, recommendations, or revenue.

Is there independent review evidence?

A substantial product-specific review sample was not found in the September 10, 2026 search. That is an evidence-volume limitation, not a quality judgment. Use the trial and a bounded before/after research test.

Final verdict

KeywordGraph fills a useful gap between keyword discovery and content architecture. Its graph-native view can help teams see clusters, bridges, and demand-versus-supply differences that disappear in a flat export. The public evidence is strong enough to describe the workflow and commercial boundaries, but not strong enough to claim improved rankings, AI citations, traffic, or revenue.

AICiteKit verdict: A promising content-optimization and LLMO research layer for teams that think in topic systems. Buy it for better prioritization and relational analysis, not as a substitute for AI-visibility measurement or as a shortcut around editorial judgment.

Sources and verification

Primary sources

• KeywordGraph homepage and pricing — official product workflow, plans, limits, privacy language, and self-hosted pricing checked September 10, 2026.
• KeywordGraph About — product scope, Nodus Labs background, and trial workflow checked September 10, 2026.
• KeywordGraph MCP — SEO MCP setup and client guidance checked September 10, 2026.
• KeywordGraph knowledge graph SEO guide — graph model, demand/supply/site graph explanation, and GEO boundary checked September 10, 2026.
• KeywordGraph terms — trial, commercial use, data handling, renewal, refund, and support terms; last updated June 2026.

Independent and contextual sources

• Nodus Labs keyword graph research — underlying network-analysis context and publications; not independent proof of KeywordGraph outcomes.
• Nodus Labs — company and founder context; vendor-adjacent source.
• Google Search Central: AI features and your website — independent search-engine guidance supporting the boundary that foundational SEO and helpful content matter more than unsupported GEO guarantees.

Evidence confidence: Medium for product scope, pricing display, and documented limits; low-to-medium for independent market feedback; low for ranking, citation, traffic, and revenue outcomes.

Last reviewed: September 10, 2026