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How to buy an answer engine optimization tool: five questions, no rankings
The AI visibility tool market is selling confident scoreboards. Our read: five questions separate an instrument you can audit from a verdict you rent. And because Docket sells in this category, this piece scores dimensions, never vendors.
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How to measure GEO: an answer-share tracker you can rerun
AI visibility scores are arriving faster than the methods behind them. We argue for a tracker you can rerun, and we run it on ourselves first: a fixed question set, a fixed logged-out protocol, an answer-share score anyone can audit. The pilot run already caught something.
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GEO vs SEO: the same discipline with a different scoreboard
Marketers keep asking whether generative engine optimization replaces SEO, extends it, or rebrands it. Google says no special optimization exists; Bain says most searches now end without a click. Our read: the work barely changed, and what counts as winning changed completely.
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What an AI marketing agent is, and the four tests before you call it one
The term is being defined by the companies selling it. But marketing's own dictionary already defined an agent as someone who acts on your behalf within lent authority, which is why the useful question is not whether a system uses AI, but what authority was delegated and what happens at its edge.
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The 90.3% is mostly pilots. Full production is 23.3%.
The most-quoted agent-adoption number counts anyone who ever ran a proof of concept. Here is what the same survey question actually found, why the report is more honest than its citations, and the figure that should change what you do.
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Agent hubs are the new app stores. The lock-in is the point
TikTok and HubSpot both opened agent marketplaces this month. The strategic story is distribution economics, not features. The app-store era already taught the lesson: the rules arrive after the audience does. What launched, where the lock-in actually lives, what the hubs genuinely fix, and six questions to ask before your agents move in.
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Answer engine optimization is mostly answer hygiene
The pitch says AI search demands a new priesthood. The one controlled study and Google's own documentation say most of the work is editorial hygiene: direct answers, cited sources, real numbers, extractable sentences. Here is the checklist, the cadence to measure it, and the two parts that are genuinely new.
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Half of B2B buyers now start research with an AI chatbot. The MQL wasn't built for that.
The buyer's first real conversation is moving off your website, and G2 has measured the shift. Here is the successor unit, the agent-qualified lead: who actually coined it, the four-part bar a lead should clear before a human touches it, and where the MQL still earns its keep.
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70% say they run marketing agents. Governance has not caught up.
A vendor survey found most large enterprises running agents in production, and no agreement on which executive function should own them. Ownership is three separate jobs, and conflating them is why initiatives stall.
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A marketing agent should own the loop, not just the draft
The useful dividing line is operational: an assistant produces an artifact, while an agent carries a bounded outcome from trigger to measurement.
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