AI Marketing Glossary

Plain-English definitions for the AI marketing, GEO, AEO, and B2B terms used across this site. 20 terms, no jargon.

Account-Based Marketing (ABM)

A B2B go-to-market strategy that focuses marketing and sales resources on a defined list of high-value target accounts, personalizing content and outreach for each — rather than casting a broad net and nurturing whatever converts.

Also called: ABM, Account-Based Growth, ABG.

ABM inverts the classic funnel: instead of generating thousands of leads and filtering down to buyers, you identify the exact accounts you want to win, then build awareness and preference within each. This concentrates budget where the revenue opportunity is highest.

Three ABM tiers: (1) One-to-one — fully customized campaigns for each of 5–20 strategic accounts; resource-intensive but highest close rates. (2) One-to-few — tailored campaigns for clusters of 20–100 accounts sharing common firmographics or pain points. (3) One-to-many — personalization at scale using intent data and dynamic content for 100–1,000+ accounts.

AI has made ABM accessible to SMBs. Tools like Clay, Apollo, and 6sense can identify in-market accounts and personalize outreach without a large RevOps team. The constraint has shifted from data access to ICP discipline — a vague target list produces vague results at any automation level.

AI Marketing Consultant

A marketing strategist who designs and oversees the use of generative AI and agentic systems to plan, produce, and measure marketing — not a vendor who resells AI tools.

The distinguishing skill is judgment: deciding which parts of the marketing function are improved by AI (content production, schema, SEO, reporting) and which are not (brand positioning, pricing, key narrative). AI marketing consultants build the workflow, not the agent.

AI Marketing System

An integrated stack of AI agents, content workflows, and measurement pipelines that runs the day-to-day execution layer of marketing — content, SEO, schema, reporting — under human strategic oversight.

Distinct from buying individual AI tools. A system has a strategy layer (the human or fractional CMO), an agent layer (LLMs running scoped tasks), and a measurement layer (closed-loop attribution). The Online Visibility System program is a productized version of this for B2B SMBs.

AI Overviews

Google's AI-generated answer block that appears above traditional search results for many queries, citing source pages inline.

Also called: AIO, Search Generative Experience, SGE.

AI Overviews launched globally in 2024–2025 and are now triggered for the majority of informational queries. Citation share within an Overview correlates strongly with the page's existing E-E-A-T signals, schema completeness, and passage clarity.

Optimizing for AI Overviews is a subset of GEO. The other major surfaces — ChatGPT, Perplexity, Claude — use different retrieval stacks and are optimized separately.

AI Prospecting

Using AI agents to research target accounts, identify decision-makers, and personalize outreach at a scale and speed no manual SDR team can match.

Modern AI prospecting stacks combine intent data (Bombora, 6sense), enrichment (Clay, Apollo), and LLM-generated personalization to produce 50–200 hand-crafted-looking outreach touches per SDR per day. The bottleneck has shifted from research to inbox deliverability and ICP discipline.

Answer Engine Optimization (AEO)

The practice of structuring content so it wins traditional answer surfaces — featured snippets, People Also Ask boxes, and rich results — directly on Google's SERP.

Also called: AEO.

AEO predates GEO and targets Google's pre-AI answer features. The patterns overlap (definitional H2s, FAQ schema, How-To steps) and a well-AEO'd page is usually a good GEO candidate too.

AEO is distinct from GEO in that it targets SERP features, not AI engine citations. Both should be optimized for simultaneously — they reinforce each other.

Demand Generation

A B2B marketing discipline that creates awareness and buying intent across an entire target market — not just capturing existing demand but stimulating it before buyers are actively searching.

Also called: Demand Gen, Demand Creation.

Demand generation targets the roughly 95% of your market not currently in-market. It operates at the top of the funnel through thought leadership, educational content, paid social, webinars, and community — with the goal of making your brand the first recalled when buying intent eventually forms.

Demand gen differs from lead generation in scope and timeline. Lead gen captures buyers who are already shopping; demand gen earns a place in the buying consideration set before the shopping starts. The distinction matters for budget allocation: demand gen programs typically show delayed, brand-level returns rather than direct-attributed pipeline.

For B2B SMBs, the most efficient demand gen channels in 2026 are LinkedIn organic (founder thought leadership), AI-engine citation (GEO ensures you appear in Perplexity and ChatGPT answers), and dark funnel content — long-form resources that get shared in Slack groups and private communities without generating referral traffic.

Fractional CMO

A senior marketing leader engaged part-time on a retainer or project basis to own marketing strategy for a company that cannot justify a full-time CMO salary.

Also called: Part-time CMO, Fractional Chief Marketing Officer, Outsourced CMO.

Fractional CMOs typically serve 5–20 person B2B SMBs at 8–20 hours per week. Monthly retainers most commonly fall in the $3,000–$12,000 range in 2026; that range reflects rates fractional CMO practices quote publicly, not an audited survey, so treat it as indicative. They are engaged as independent contractors, so there are no payroll, benefits, or equity obligations.

The model trades daily presence for senior judgment. A fractional CMO writes strategy, runs reviews, and oversees execution — they do not manage day-to-day campaigns themselves.

Fractional CMO vs Full-Time CMO

A fractional CMO covers most of the strategic work of a full-time CMO at a fraction of the all-in cost, trading daily presence for senior judgment.

Full-time CMOs in North America commonly cost $200,000–$300,000 per year all-in (base + bonus + benefits + equity) at SMB scale, while fractional engagements typically total $40,000–$120,000 per year for a comparable scope of strategic work. Both ranges are indicative market figures, not a surveyed average.

Choose full-time when you need daily team-building, daily presence, and category-defining brand work. Choose fractional when you need senior strategy and the budget needs to flex with the business.

Generative Engine Optimization (GEO)

The practice of making a website's content citable and extractable by generative AI engines such as ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.

Also called: GEO, AI search optimization.

GEO is to AI engines what SEO is to Google's classic ten blue links. The mechanics overlap (structured content, schema, authoritative sources) but the success criteria differ: GEO wins when an AI cites your page in its answer; SEO wins when your page ranks on a SERP.

Core GEO levers: passage-level structure (clear H2 definitions, short answer paragraphs), authoritative outbound citations, schema.org markup that AI crawlers can parse, and an llms.txt file that summarizes the site for LLM ingestion.

HubSpot

An integrated CRM and marketing automation platform widely used by B2B SMBs to run inbound marketing, sales, and customer service from a single source of record.

HubSpot's strength is the integration: a contact's email opens, web visits, deal stage, and support tickets all live in one record. The 2026 versions of Marketing Hub and Sales Hub ship AI agents (Breeze) for content drafting, prospecting, and reporting.

HubSpot Solutions Partners are vetted consultants and agencies certified to implement the platform. José Cabal is a HubSpot Certified Trainer.

Ideal Customer Profile (ICP)

A precise description of the company and buyer most likely to buy, succeed with, and stay with your product — used to focus marketing, sales, and product decisions.

Also called: ICP.

A high-quality ICP includes firmographic criteria (industry, size, revenue), behavioral signals (tech stack, hiring patterns), and the specific job-to-be-done your product fulfills. A vague ICP — 'B2B SMBs' — is functionally no ICP.

ICP is the input that makes AI prospecting work. Without it, AI generates more bad leads faster. With it, AI compresses weeks of research into hours.

Intent Signals

Behavioral data points that indicate a company is researching a solution category right now — third-party content consumption, anonymous site visits, hiring posts, funding events.

Intent data vendors (Bombora, 6sense, G2) aggregate signals across the open web and license them. Used well, intent data lets you reach in-market buyers weeks before they fill in a contact form.

Lead Scoring

Assigning a numeric score to inbound leads based on fit (ICP match) and engagement (page views, downloads, replies) to prioritize sales follow-up.

AI-powered lead scoring uses historical conversion data to weight signals automatically, rather than relying on rules a marketer hand-builds. The result is fewer false positives — sales spends time on accounts genuinely close to buying.

llms.txt

A proposed plain-text file served at the root of a website that tells large language model crawlers which content to ingest and how to summarize it.

llms.txt was proposed in late 2024 as a robots.txt analog for LLMs. Major AI crawlers (GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot) have not formally committed to honoring it, but several do appear to read it during retrieval — making it a low-cost, high-upside GEO signal.

Format: short markdown summary of the site, followed by curated links to the most citable pages with one-sentence descriptions per link.

Marketing Automation

Software that executes repeatable marketing workflows — email sequences, lead routing, scoring, attribution — based on user behavior, without manual intervention.

HubSpot, Marketo, Pardot, and ActiveCampaign are the dominant platforms in 2026. The 2024–2026 shift has been from rules-based workflows to LLM-augmented branches: AI decides which content to send to a given lead based on their full behavior history, not a marketer's pre-built if/then tree.

Marketing Consultant

An external strategist engaged by a company to diagnose marketing problems, recommend solutions, and sometimes oversee execution — usually scoped to specific projects or shorter engagements than a fractional CMO.

The line between marketing consultant and fractional CMO blurs. The clearest distinction: a fractional CMO holds ongoing operational ownership of the marketing function for a defined retainer period; a consultant is engaged for a specific question or deliverable.

robots.txt

A plain-text file at the root of a website that tells search engine and AI crawlers which paths they are allowed or disallowed to fetch.

robots.txt is advisory — well-behaved crawlers (Googlebot, Bingbot, GPTBot, ClaudeBot) respect it; adversarial scrapers do not. The 2024–2025 wave of AI crawlers added new user-agent names (GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google-Extended) — explicitly allow or disallow each based on whether you want your content used for AI training and inference.

Schema markup (JSON-LD)

Machine-readable metadata embedded in a webpage using the Schema.org vocabulary, typically as JSON-LD, that tells search engines and AI engines what the page is about.

Also called: Schema.org, Structured data.

Schema is the bridge between human-readable HTML and engine-readable facts. A page with Service, Offer, FAQPage, and Person schema gives Google and AI engines a complete entity graph: who provides what, at what price, with what credentials.

Required schema varies by content type. Service pages: Service + Offer + Provider. Articles: Article + Author. Local business: LocalBusiness + Address + AggregateRating. AI engines reward graphs that cross-reference cleanly via @id anchors.