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Free keyword research tool

Free keyword research that stays useful when the real work starts.

Explore ideas, intent, difficulty estimates, trends, SERP context, bulk keyword sets, and competitor gaps. Save the evidence in one workspace and let your AI retrieve it when it is writing the brief, editing the site, or planning the next cluster.

75 daily searches by defaultKeyword Explorer + IdeasMCP and API included
agent requestauthorized
YOU

Explore the seed topic and return 25 keyword opportunities grouped by intent. Rank them by business fit, realistic difficulty, content dependency, and whether we should create, update, merge, or ignore.

SEARCHSIGNALworkspace_packlatest_auditlist_opportunities
Evidence retrievedcurrent project scope
  • Primary bottleneck identified
  • Affected URLs and supporting signals attached
  • Implementation and verification path prepared
Why the category matters

A keyword list is not a content strategy.

Useful research connects demand to intent, the current site, competitor coverage, ranking reality, internal-link structure, and a business objective. SearchSignal keeps those pieces in one workspace so the agent can turn research into a defensible plan instead of generating generic topics.

01

Explore intent

Inspect the query, related ideas, trends, SERP context, and the kind of page searchers are likely expecting.

02

Work in batches

Score, sort, filter, save, and export keyword sets instead of repeating one-query-at-a-time research.

03

Connect the site

Compare opportunities with current pages, rankings, competitors, and Search Console performance.

04

Hand it to AI

Retrieve the saved research inside Cursor, Claude, ChatGPT, Windsurf, VS Code, or a custom agent.

The operating architecture

Research, prioritize, brief, and verify in one evidence chain.

SearchSignal separates evidence retrieval from model reasoning and production changes. That gives the agent current context without making the data layer responsible for uncontrolled execution.

Discover01

Discover

Start with a seed topic, competitor domain, current query, or content gap and expand the relevant idea set.

Qualify02

Qualify

Review intent, demand, difficulty, commercial relevance, SERP pattern, and fit with the site's authority and product.

Map03

Map

Assign approved queries to new pages, existing pages, cluster hubs, comparisons, or supporting content without overlap.

Deliver04

Deliver

Retrieve the map in the agent, build the brief or page, add internal links, publish, and measure real performance.

Work it can support

Built around jobs—not vanity metrics.

The value is not merely that a model can read SEO data. The value is that the model can retrieve the right evidence at the moment it is planning, writing, coding, reporting, or verifying.

01

Find realistic first wins

Filter for queries aligned to the product where the current site has a plausible path to compete and a clear page to build or improve.

02

Build a non-overlapping cluster

Group keywords by search intent and page purpose, then map one primary intent to each URL before writing begins.

03

Refresh pages already close

Use Search Console and rank context to find pages in striking distance and identify the smallest evidence-backed update.

04

Turn research into implementation

Ask the agent for a brief, route plan, internal-link requirements, metadata, structured content, and post-publish checks.

Prompt library

Ask for decisions with an evidence contract.

These prompts force the agent to state freshness, separate observations from inference, and return work that another person can review.

Opportunity set

Explore the seed topic and return 25 keyword opportunities grouped by intent. Rank them by business fit, realistic difficulty, content dependency, and whether we should create, update, merge, or ignore.

Cluster map

Combine the saved keyword set with our existing URL inventory and competitor gaps. Produce a cluster map with one primary intent per page and flag cannibalization risk.

Near-winner refresh

Use Search Console and current ranking context to find pages in positions 4–15 with meaningful impressions. Recommend the smallest update likely to improve each page and explain the evidence.

Brief to build

Create an evidence-backed brief for the approved keyword. Include intent, differentiation, outline, entities, FAQs, internal links, conversion goal, and facts that require verification.

The workflow change

From exported data to callable intelligence.

SearchSignal is strongest when it removes context assembly without removing judgment, authorization, or verification.

WorkDisconnected workflowSearchSignal workflow
Research outputA disconnected CSV or copied keyword listA saved project asset available to the agent
PrioritizationSort by volume and hopeBalance intent, fit, difficulty, current coverage, and dependency
Content mappingMany keywords become many overlapping pagesOne clear page purpose per approved intent
DeliveryRewrite the research into every promptRetrieve the approved list or workspace pack in the writing environment
MeasurementResearch ends when the page publishesConnect rankings and Search Console signals back to the queue
Frequently asked questions

Clear answers before you connect.

The currently published Free plan includes Keyword Explorer, Keyword Ideas, bulk keyword analysis, saved keywords and lists, and 75 daily searches by default. Fair-use and abuse controls apply.

SearchSignal labels Free keyword metrics as estimates. The published Pro plan adds licensed Google Ads and Google organic SERP data through DataForSEO.

Yes. The published product includes Search Console sync for real clicks, impressions, positions, and property data from sites you control.

That is a core part of the agent-native positioning. Compatible MCP clients and authenticated HTTP agents can retrieve project research and workspace context after authorization.

The product includes content briefs and AI-assisted writing workflows, but the strongest process keeps research, differentiation, factual review, brand judgment, and production approval explicit.

Connect once. Ask anywhere.

Put live search evidence inside the agent you already use.

Create a free SearchSignal workspace, connect one token, and ask for the first project briefing without rebuilding the context by hand.