Competitive intelligence has its own working vocabulary, and confusion over terms like “share of voice” versus “share of search” or “content gap” versus “keyword gap” causes real miscommunication between marketers and clients. This glossary defines the terms that actually come up in day-to-day competitive intelligence work, with enough context to use each one correctly rather than just recognize it.
Rather than a dictionary of jargon nobody uses, this is organized around the terms that matter in real audits, client conversations, and reporting — the vocabulary of doing the work, not just talking about it.
These are the foundational concepts almost every competitive intelligence project starts with, before any tool gets opened.
These describe how competitive standing is measured specifically within organic and local search results.
Local businesses live and die by a slightly different set of competitive signals than purely organic content plays.
Competitive intelligence increasingly extends beyond organic search into what competitors are spending on and saying in paid channels.
Off-site signals remain a core part of most competitive audits, particularly for content-driven or e-commerce businesses.
A newer but fast-growing category of competitive intelligence work, tracking how businesses show up in AI-generated answers rather than traditional result pages.
The vocabulary used when translating raw findings into a plan a client or stakeholder can act on.
Share of voice measures visibility across a defined set of tracked keywords, usually weighted by ranking position. Share of search measures relative brand search volume compared to competitors — how often people search for the business's name directly versus a competitor's. Both matter, but they measure different things.
No. A keyword gap is a single missing query a competitor ranks for. A content gap is broader — an entire topic, page type, or resource a competitor has covered that the client's site doesn't address at all. Every content gap usually produces multiple keyword gaps underneath it.
Total review count reflects history; velocity reflects current momentum and signals to both customers and local search algorithms that a business is actively engaged right now. A competitor gaining reviews weekly can out-signal one with a larger but stagnant total.
Entity clarity describes how consistently and distinctly an AI system can identify a business based on its name, description, and corroborating signals across the web. As AI Overviews and chat tools increasingly cite specific businesses in answers, entity clarity has become a genuine competitive variable worth tracking alongside traditional rankings.
No. Most of these concepts can be tracked with a standard rank tracker, a backlink tool with a gap report feature, public ad transparency libraries, and manual review of Google Business Profiles and AI search tools. Enterprise platforms add convenience, not a fundamentally different capability, for local and SMB-scale work.
Terry has 30+ years in software and SEO. He’s the founder of Salterra Digital Services and SEO Spring Training, host of the Roundtable SEO Mastermind, and lead instructor at SEO University — teaching the exact tactics his team uses on client work.
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