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The selection guideSource-backed research ↗
Content Optimization / Graph-based SEO research and semantic content-planning SaaS.
KeywordGraph
Graph-native keyword research, content-gap analysis, and SEO workflows for AI search
Content optimization
Why it stands out
Makes relationships and clusters visible rather than hiding them in rows
Source review: · Public-source research, not a hands-on test
↗ Best for
SEO strategists planning topic clusters rather than isolated keyword pages
! Know before you buy
Public independent customer evidence is sparse, and graph-based opportunities remain hypotheses that require editorial judgment and outcome measurement.
01 / Editorial assessment
Is KeywordGraph for you?
The AICiteKit take
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. 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.
A good fit if you are…
- 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
Consider another option if…
- 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
02 / Scope, not promises
Features & coverage
- Core inputs
Search queries, related searches, SERPs, competitor websites, YouTube, Amazon, sitemaps, and CSV exports
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Quick facts- Core outputs
Interactive graphs, topic clusters, gap views, exports, reports, and passage briefs
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Quick facts- AI workflow
Remote SEO MCP Server at mcp.keywordgraph.com; current setup documentation supports OAuth authorization for compatible clients, while plan access and request limits differ
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Quick facts- Primary use case
Search-intent mapping, topic clustering, content-gap analysis, and semantic SEO planning
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Quick facts- 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
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Quick facts- Trial
14-day free trial on all displayed plans
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Quick facts
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: Search-intent data is an observed input, not a complete model of every user. Sampling, locale, language, and source availability can change the graph.
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.
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: 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.
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.
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:
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-10-12 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- Pricing at a glance
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.
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Overview
- Basic
Displayed price: €12/month · Selected limits and access: 40 GPT-4 credits/hour, 70 API requests/week, 40 Google results, 300 KB text upload, 1 MB PDF upload · Commercial boundary: Personal/academic use only; API and MCP access limited
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Pricing, plans, and limits- Advanced
Displayed price: €32/month · Selected limits and access: 100 GPT-4 credits/hour, 350 API requests/week, 60 Google results, 2 MB text upload, 5 MB PDF upload · Commercial boundary: Commercial use, API, broader MCP access, dedicated support
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Pricing, plans, and limits- Premium
Displayed price: €66/month · Selected limits and access: 500 GPT-4 credits/hour, 3,000 API requests/week, 100 Google results, 10 MB text upload, 50 MB PDF upload · Commercial boundary: Commercial use, higher quotas, training, faster support
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Pricing, plans, and limits
- Free access & trial
14-day free trial on all displayed plans
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Quick facts
Additional costs & usage boundaries
- AI credit limits
Official comparison lists 40, 100, and 500 GPT-4 credits per hour for Basic, Advanced, and Premium
Archived research · Research dated 2026-09-10; confirm current termsResearch excerpt · Quick facts
Pricing context & qualifications
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.
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- 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
Reasons to pause
- 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.
Public independent customer evidence is sparse, and graph-based opportunities remain hypotheses that require editorial judgment and outcome measurement.
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
MarketMuse ↗
MarketMuse · Enterprise content intelligence · Broader content inventory, briefs, and optimization workflow
InLinks ↗
InLinks · Entity SEO and internal linking · More focused on site entities, schema, and link implementation
WordLift ↗
WordLift · Knowledge graphs and semantic content · More focused on persistent on-site entity relationships and structured context
Frase ↗
Frase · Content research and writing · More writing- and brief-oriented than graph-native
06 / What we can substantiate
Reviews & evidence
Independent feedback is limited to the archived sources below. No hands-on test or outcome benchmark was performed as part of this layout migration.
AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.
Sources & original verification dates
| Source | Evidence type | Checked |
|---|---|---|
| KeywordGraph official pricing page ↗ | Official page checked 2026-10-12 | |
| KeywordGraph About page ↗ | Cited in archived research | See research context |
| KeywordGraph terms ↗ | Cited in archived research | See research context |
| Nodus Labs keyword-graph research ↗ | Cited in archived research | See research context |
| KeywordGraph SEO MCP documentation ↗ | Official page checked 2026-10-12 | |
| KeywordGraph community/contact page ↗ | Cited in archived research | See research context |
| KeywordGraph knowledge graph SEO guide ↗ | Cited in archived research | See research context |
| Nodus Labs ↗ | Cited in archived research | See research context |
| Google Search Central: AI features and your website ↗ | Cited in archived research | See research context |
Original review evidence & date context
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
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
- Whether the 14-day trial includes the intended plan’s full graph, API, and MCP capabilities.
- How many queries, SERP results, imports, AI credits, and API requests a real project consumes.
- Whether quotas are per account, project, user, hour, or week.
- Which search regions, languages, and Google result types are available for the target market.
- How competitor pages and uploaded customer content are stored, processed, and deleted.
- Whether the MCP server exposes raw sources and dates alongside its summaries.
- How passage briefs distinguish observed source material from model-generated recommendations.
- Whether exports preserve the metadata needed for later audit and comparison.
- Whether commercial-use rights cover the agency’s client reporting and white-label workflow.
- Whether a prioritized gap led to a materially better page than the team’s existing research process.
- Which independent visibility measurement will test any later change in rankings, citations, or traffic.
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
Research notes & unresolved discrepancies
- This page reorganizes previously published research. It is not a fresh price check or a hands-on test. Refer to source-specific dates and qualifications in the research context below.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.