The go-to-market playbook now includes AI search
Saturated B2B markets make visibility harder to earn and easier to misread. A buyer may research in conventional search, ask ChatGPT or Perplexity for recommendations, compare vendors, and only then visit a website. That changes the job of ai-marketing: it is not simply adding AI tools to the stack. It is building a go-to-market system that can identify where a brand is absent, prioritise the highest-value opportunities and connect activity to revenue.
For CEOs, founders, CROs and CMOs, the practical question is simple: which actions help create more qualified opportunities and closed deals,and which merely produce activity?
Feature: LLM visibility research built around your market
Feature: Best Tools To Build Your Own Growth Strategy in LLMs & AI is a video guide to the tool stack used to plan, track and grow brand visibility in LLMs and AI search. It covers the journey from an initial audit through to ongoing reporting.
Advantage: Instead of treating ChatGPT and Perplexity as opaque channels, teams get a structured way to examine how their brand appears when buyers ask for recommendations. That provides a more useful starting point than publishing content without understanding the recommendation landscape.
Benefit: You can develop an AI marketing plan with clearer priorities: identify the questions that matter, establish what should be measured and build a reporting rhythm that supports commercial decisions. For a scaling B2B technology, finance or real estate business, this means directing limited go-to-market capacity toward visibility that has a defined role in the buyer journey.
Feature: share-of-voice benchmarks and content-gap analysis
Feature: The analysis How Adobe Gets 2.5M AI Referrals a Month in Asset Management Software examines how leaders appear in AI recommendations. It includes an LLM Share-of-Voice Benchmark, Competitor Content Gap, Priority Keyword Clusters and Quick-Win Growth Actions. The analysis reports that Adobe earns 2.5M AI referrals a month and identifies 1.6M monthly searches where challengers can compete for attention.
Advantage: A benchmark turns a vague ambition,"show up in AI search",into a comparison against named competitors and specific content gaps. Priority keyword clusters and quick-win actions help separate immediate opportunities from longer-term content work.
Benefit: Your team can make a sharper product-led-growth decision: focus resources on the subjects and buyer questions where visibility can be improved, rather than copying competitor content broadly. The result is a roadmap that ties content, positioning and demand creation to a defined competitive opportunity.
Feature: category-specific AI recommendation analysis
Feature: Which B2B Payment Automation Tools ChatGPT Picks is an analysis of the gap between search traffic and AI recommendations for payment providers. It uses the same core framework: LLM Share-of-Voice Benchmark, Competitor Content Gap, Priority Keyword Clusters and Quick-Win Growth Actions.
Advantage: Search traffic alone does not show which vendors AI systems recommend. Analysing both surfaces reveals where a brand may be visible in search but missing from AI-led consideration,or where recommendation visibility deserves more attention.
Benefit: Payment automation teams can avoid using one channel's performance as a proxy for the whole market. That supports better allocation across content, campaigns and go-to-market work, with measurement focused on contribution to commercial goals rather than vanity metrics.
Put measurement before more campaigns
The new playbook needs more than a list of tools. It needs agreement on what it takes to close deals, the touchpoints that precede them, the campaign types that continue to earn their keep and the groundwork required before scaling activity.
JJs AI Marketing Newsletter is hosting a webinar on these questions, including what it takes to close 100 deals in a saturated market, what to measure against revenue goals and what the first 90 days of a roadmap should include. The session also draws on real business numbers that were measured, attributed and reported.
Join the webinar to explore a practical AI marketing and product-led growth roadmap built for revenue accountability.
