What does the Keywords page track?

It tracks total keyword coverage, citation-backed terms, brand terms, opportunity scoring, and mention share so teams can see where AI discovery demand is strongest.

What is the difference between Citation, Topic, and Brand keywords?

Citation keywords come from cited URLs in AI answers, topic keywords come from monitored prompt clusters, and brand keywords come from your own pages and brand-led content.

How does Keyword Cloud help?

Keyword Cloud visualizes recurring language patterns by source set, making it easier to spot dominant themes, weak clusters, and emerging search intent.

How are content gaps identified?

Content gaps are prioritized from low-coverage, high-opportunity terms where competitors have stronger mention share or citation depth.

Can keywords be pushed into content creation workflows?

Yes. Teams can select focus and secondary terms from keyword tables directly during content creation to keep briefs and drafts aligned with opportunity data.

Which engines are included for keyword signals?

Keyword signals are tracked across core engines including ChatGPT, Perplexity, Google AI Overview, Gemini, and Claude.

Keywords

Track demand signals. Prioritize keyword gaps. Activate content faster.

See where keyword opportunity is rising, compare mention share against competitors, and turn high-impact terms into content actions from one connected system.

Get started See keyword workflow

seerly.app · Keywords

Live analysis

Total Keywords

17,819

AI Mention Rate

4.5%

Citation Keywords

17,272

Brand Keywords

708

Search keywords...

All KeywordsCitation KeywordsTopic KeywordsBrand KeywordsKeyword CloudContent Gaps

Keyword	Opportunity	Competitors	Mentions	Citation Share	Action
Nike running shoesOverlap	68	RWFFREI +8	731	21.5%	Create
Nike daily trainerOverlap	59	FFREIRO +8	179	13.0%	Create
Nike marathon shoes	53	RWROOS +6	92	7.9%	Create
Nike trail running shoes	50	REIOSFF +5	64	7.1%	Create
Nike recovery run shoes	49	RWTRREI +5	39	4.5%	Create

Keyword signals tracked across:

ChatGPT

Perplexity

Google AI Overview

Gemini

Claude

Keyword Intelligence

Prioritize opportunities using keyword score, competitor overlap, and citation share

Sort the highest-impact terms first, inspect where competitors are clustered, and focus your team on keywords that can move both discovery and citation performance.

Opportunity-led sorting

Rank terms by score so high-impact gaps rise above low-signal noise.

Competitor overlap context

Compare which competitor clusters dominate each term before choosing action.

Citation-backed signal quality

Validate keyword demand with mentions and citation share, not volume alone.

Keyword AnalysisCitation Keywords

AllCitation KeywordsTopic KeywordsBrand Keywords

Keyword	Opportunity	Mentions	Citation Share
Nike running shoes	68	731	21.5%
Nike daily trainer	59	179	13.0%
Nike marathon shoes	53	92	7.9%
Nike trail running shoes	50	64	7.1%

Keyword CloudAll Keywords

Source: All / Topic / Citation / Brand

daily trainer comfortmarathon base mileagecushioning for recoveryheel striker supportNike long run fitrace day rotationstable neutral optiontempo day shoeseasy run cushioningbreathable upperwide forefoot fitweekly training plan

Keyword Cloud

Cluster recurring language and identify which themes dominate AI citations

Keyword Cloud makes thematic concentration visible fast, helping teams spot over-represented narratives and under-covered opportunity clusters.

Theme density at a glance

Larger terms indicate stronger recurring presence in monitored responses.

Source-level filtering

Switch between all, topic, citation, and brand views to compare signal quality.

Actionable clustering

Convert high-density clusters into briefs and keyword strategies.

Content Gaps

Separate high-priority keyword gaps from already covered themes

Prioritize what to create next by isolating weak keyword clusters and preserving momentum on terms where your coverage is already strong.

Priority-based triage

Focus teams on high-impact terms first with explicit risk labeling.

Coverage confidence

Keep proven themes visible so teams avoid over-optimizing already strong terms.

Clear next actions

Move directly from keyword gaps to content planning and creation.

Content Gaps

overpronation support

High

High-intent cluster where competitors outrank with stronger citation depth.

best half-marathon shoe

High

Frequent prompt demand but low mention coverage in tracked responses.

fit by foot type

Medium

Intent appears in recommendation prompts with weak current share.

durability over 500 km

Low

Emerging intent tied to comparison queries and buying decisions.

Well-Covered Topics

Themes

daily trainersmarathon preparationcushioningweight reductioncomfort fitrecovery runs

Keywords

running shoesdaily trainermarathon shoesrecovery shoesstability shoestempo shoesbest long run shoeshoe cushioningfit guideeasy run shoe

Select KeywordsAdd keywords as secondary. Click any chip to make it focus.

AllCitation KeywordsTopic KeywordsSelected Prompt Keywords

Search keywords

Keyword	Opportunity	Competitors	Mentions	Citation Share
Nike running shoesOverlap	68	RWFFREI	731	21.5%
Nike daily trainerOverlap	59	REIROFF	179	13.0%
Nike marathon shoes	53	RWOSRO	92	7.9%
Nike trail running shoes	50	REITRFF	64	7.1%
Nike recovery run shoes	49	RWREITR	39	4.5%

Content Handoff

Push selected keywords directly into Smart Content workflows

Keep keyword strategy tied to execution by selecting focus and secondary terms inside creation flow, with overlap and opportunity context preserved.

Direct keyword selection

Select terms from ranked lists without leaving content setup.

Context-aware scoring

Keep opportunity, mentions, and citation share visible while selecting.

Faster brief activation

Convert selected terms into immediate draft-ready content strategy.

62%

Increase in high-intentkeyword coverage across engines

3.2x faster

Keyword gap prioritizationvs manual review

44%

Reduction in uncoveredkeyword clusters in 90 days

2.1x

Faster keyword-to-contentactivation via selector flow

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