A/B test
An A/B test shows two versions of a page, ad or email to comparable audiences at the same time to learn which performs better. A valid test changes one thing, runs long enough to reach a meaningful sample, and decides the success metric in advance.
Agency retainer
An agency retainer is a recurring monthly fee paid to an agency, usually in exchange for a block of hours or an agreed scope of work. In Ahrefs' survey of 439 SEO providers, agencies charged an average SEO retainer of $3,209 per month, while the most common band across all providers was $501–$1,000.
Agentic commerce
Agentic commerce is shopping in which an AI agent researches, compares and completes a purchase on the user's behalf. It extends answer engines from recommending to transacting, and it depends on machine-readable product, price and availability data.
AI crawler
An AI crawler is a bot that fetches web pages for an AI product. They come in three kinds: training crawlers such as GPTBot, search crawlers such as OAI-SearchBot that build the index answers cite from, and user-triggered fetchers such as ChatGPT-User. Blocking the wrong one in robots.txt can remove a site from AI answers.
Source: OpenAI: crawlers overview
AI marketing agent
An AI marketing agent is an AI system with a standing role — SEO, content, paid media, analytics — that works toward an objective over time, rather than a tool that answers one prompt. It plans tasks, produces work, and hands it to a human for review.
AI Mode
AI Mode is Google's conversational search experience, which answers complex questions with advanced reasoning, follow-up questions and links to the web. It relies on query fan-out: breaking a question into subtopics and running many searches at once.
Source: Google: AI Mode update
AI Overviews
AI Overviews are the AI-generated summaries Google shows at the top of some search results pages, with links to supporting sources. A 2025 Pew Research Center study found users clicked a result on 8% of visits to pages with an AI summary, versus 15% without one.
Source: Google Search Central: AI featuresRead the full guide →
AI SEO
AI SEO is an ambiguous term meaning either optimizing for AI search surfaces (the same as GEO) or using AI tools to do SEO work. Google states that its existing SEO best practices apply to AI features and that there are no additional requirements to appear in AI Overviews or AI Mode.
Answer engine
An answer engine is a system that returns a synthesized answer, usually with source citations, instead of a list of links. ChatGPT search, Perplexity, Microsoft Copilot, Gemini and Google's AI Mode are answer engines.
Answer Engine Optimization (AEO)
Answer Engine Optimization (AEO) is optimizing content to be the direct answer in interfaces that answer rather than list links — featured snippets, voice assistants and AI chat. The term predates GEO and emphasizes question-and-answer formatting; in practice the two overlap heavily.
Attribution
Attribution is the practice of connecting revenue back to the channels and touchpoints that produced it, so budget follows what works. Every attribution model is an approximation, and zero-click search and AI answers make more of the buyer's path invisible to analytics.
Backlink
A backlink is a link from another website to yours. Search engines treat links from relevant, reputable sites as evidence of authority. For visibility in AI answers, Ahrefs' research suggests plain brand mentions now correlate more strongly than backlinks do.
Source: Ahrefs
Blended ARPU
Blended ARPU is average revenue per account across all plans and customer types. It shows what a typical customer is actually worth once the real mix of plans, discounts and add-ons is taken into account.
Brand mention
A brand mention is any reference to a brand name on a third-party page, video or forum, with or without a link. In an Ahrefs study of 75,000 brands, branded web mentions showed the strongest correlation with appearing in AI Overviews (0.664), well ahead of backlinks (0.218).
Source: Ahrefs
Buyer journey
The buyer journey is the path from not knowing a problem exists to choosing a solution: unaware, problem-aware, solution-aware, product-aware, decision. Matching content to each stage keeps a business from publishing only for people who are already ready to buy.
CAC (Customer Acquisition Cost)
Customer Acquisition Cost (CAC) is total sales and marketing spend divided by the number of new customers won in the same period. Benchmarks vary widely by industry: First Page Sage reports a blended B2B SaaS CAC of $239, with organic channels ($205) cheaper than paid ($341), based on its own client data.
CAC payback
CAC payback is the number of months of gross profit from a customer needed to recover what it cost to acquire them. The 2026 Aleph and Benchmarkit SaaS benchmarks put the median at 16 months, with the top quartile at six months or less.
Churn rate
Churn rate is the percentage of customers, or of recurring revenue, lost in a period. Because lifetime value is roughly revenue per customer divided by churn, small improvements in retention often do more for growth than the same effort spent on acquisition.
Content calendar
A content calendar is the schedule of what will be published, where, when and for which audience and buying stage. It turns a strategy into a production plan and makes gaps visible before they become missed weeks.
Conversion rate
Conversion rate is the share of visitors or leads who take a defined action, such as submitting a form or buying. LocaliQ's 2026 benchmarks report an average search advertising conversion rate of 8.18% across industries.
CPC (Cost per Click)
Cost per Click (CPC) is the amount an advertiser pays each time someone clicks an ad. LocaliQ's 2026 benchmarks put the average search advertising CPC at $5.42 across Google and Microsoft Ads.
CPL (Cost per Lead)
Cost per Lead (CPL) is advertising or marketing spend divided by the number of leads it produced. LocaliQ's 2026 benchmarks report an average search advertising CPL of $66.69, the first decline in five years, with business services at $93.69.
CRO (Conversion Rate Optimization)
Conversion Rate Optimization (CRO) is the discipline of increasing the share of visitors who take a desired action, through research, clearer offers, better pages and controlled tests. It raises the return on traffic a business already pays for.
CTR (Click-through Rate)
Click-through Rate (CTR) is clicks divided by impressions: the share of people who saw a result or ad and clicked it. AI summaries are lowering organic CTR; Ahrefs found that the presence of an AI Overview correlated with a 58% lower click-through rate for the top-ranking page.
Demand generation
Demand generation is marketing aimed at creating awareness of and interest in a solution among the right buyers, then converting that interest into pipeline. It is broader than lead generation, which only captures demand that already exists.
E-E-A-T
E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, the qualities Google's guidance uses to describe helpful, reliable content. Google says E-E-A-T is not itself a specific ranking factor, and that of the four, trust is most important.
Source: Google Search Central
Entity
An entity is a uniquely identifiable thing — a business, person, product or place — that search engines and AI models track as a concept rather than a keyword. Consistent names, addresses, profiles and schema markup help machines recognize that every mention refers to the same business.
First-party data
First-party data is information a business collects directly from its own customers and audience — purchases, site behavior, email engagement, form answers — with their knowledge. It is more accurate and durable than purchased third-party data.
Fractional CMO
A fractional CMO is a senior marketing executive who works for a company part-time, typically a few days per month, providing strategy and leadership without joining full-time. A fractional CMO directs but does not execute, so the model fits companies that already have a team or vendors to do the work.
Generative Engine Marketing (GEM)
Generative Engine Marketing (GEM) is Scalehackerlab's term for the full practice of becoming the source that answer engines such as ChatGPT, Perplexity and Google AI Overviews extract from and cite. It combines on-site Generative Engine Optimization with off-site brand mentions, reviews and AI-visibility measurement.
Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the practice of optimizing content so that AI systems which generate answers from retrieved sources include and cite it. The term was coined in a 2023 Princeton-led paper, which found that adding citations, quotations and statistics improved visibility in generated answers by up to 40% in a lab benchmark.
Source: Aggarwal et al., GEO (KDD 2024)Read the full guide →
Google Business Profile
Google Business Profile is the free listing that controls how a business appears in Google Search and Maps, including hours, services, photos and reviews. For local companies it is often the first thing a customer — or an AI assistant looking for a recommendation — reads about them.
Grounding
Grounding is connecting an AI model's output to verifiable sources, such as search results or a company's own data, so that claims can be checked and cited. Grounding reduces hallucination; retrieval-augmented generation is the most common way to do it.
Growth loop
A growth loop is a system in which the output of one cycle becomes the input of the next — customers create content, referrals or data that bring more customers. Loops compound, unlike funnels, which need new input at the top every time.
Growth-as-a-Service (GaaS)
Growth-as-a-Service (GaaS) is a subscription model in which one provider owns a company's marketing strategy, execution, and measurement for a flat monthly price. In Scalehackerlab's version, AI agents produce the work, senior strategists review it before it ships, and results appear in a live dashboard. The term is also used for outsourced sales development and interim growth leadership.
Hallucination
A hallucination is a confident AI output that is false or unsupported by any source. In marketing it shows up as invented statistics, misattributed quotes and wrong product details, which is why AI-produced content needs sourcing and human review before it is published.
Human-in-the-loop
Human-in-the-loop means a qualified person reviews and approves AI output before it is used. In marketing it is the control against inaccurate, off-brand or low-value content — the kind Google warns may violate its spam policy when generated at scale without adding value for users.
ICP (Ideal Customer Profile)
An Ideal Customer Profile (ICP) is a description of the type of company or person that gets the most value from a product and is most profitable to serve: industry, size, situation and buying triggers. A precise ICP makes every channel cheaper because less spend reaches the wrong audience.
Information gain
Information gain is the amount of new information a document adds beyond what other documents on the same topic already say. The concept comes from a Google patent; a patent does not prove use in ranking, but it is a sound rationale for publishing original data and first-hand experience instead of rewriting what already exists.
Source: Google patent US11354342B2
Lead magnet
A lead magnet is a useful, self-contained resource — a checklist, audit, template or benchmark — offered in exchange for contact details. It is the step that turns an anonymous reader into a known prospect.
Leading indicator
A leading indicator is an early, measurable signal that predicts a later result: rankings and qualified traffic before leads, leads before revenue. Lagging indicators such as revenue confirm what already happened. Early-stage marketing should be judged on leading indicators first.
LLM citation
An LLM citation is a source link that an AI answer displays to support a claim. It differs from a brand mention, where the brand is named without a link. Citations are the answer-engine equivalent of a search ranking: the visible proof that your content was used.
LLMO (Large Language Model Optimization)
LLMO (Large Language Model Optimization) is industry jargon for improving how large language models represent and mention a brand, both in what they learned during training and in what they retrieve live. It is a near-synonym of GEO with no single canonical definition.
llms.txt
llms.txt is a proposed standard, introduced by Jeremy Howard in 2024, for a Markdown file at a site's root that summarizes the site for AI agents. It is inexpensive to maintain, but adoption is unproven: Google's John Mueller said in 2025 that no AI system currently uses it.
Source: llmstxt.org
Local SEO
Local SEO is optimizing a business's visibility for searches with local intent, such as "plumber near me". It rests on an accurate Google Business Profile, consistent name, address and phone details across the web, reviews, and locally relevant pages.
LTV (Lifetime Value)
Lifetime Value (LTV) is the total gross profit a business expects from a customer over the whole relationship. It sets the ceiling on what can sensibly be spent to win that customer.
LTV / CAC ratio
The LTV / CAC ratio is customer lifetime value divided by customer acquisition cost. The widely used 3:1 guideline comes from investor David Skok, who wrote that the best SaaS businesses have a ratio higher than 3. It is a rule of thumb from venture-backed software, not a law for every small business.
Marketing as a Service (MaaS)
Marketing as a Service (MaaS) is the recurring outsourcing of marketing activities — content, campaigns, design, operations — to an external provider for a periodic fee. It differs from Growth-as-a-Service in what is owned: MaaS delivers activity and output, while GaaS is accountable for the outcome loop of strategy, execution and measurement.
Marketing automation
Marketing automation is software that sends messages and moves leads between stages based on rules and behavior, such as a welcome sequence after a signup. It executes a plan consistently; it does not decide what the plan should be.
Marketing budget
A marketing budget is the money a company allocates to marketing over a period, often expressed as a percentage of revenue. The CMO Survey reported budgets at 9.0% of company revenue in early 2026, but its sample skews to larger firms; there is no official rule for small businesses.
Marketing funnel
A marketing funnel is a model of the stages between first contact and purchase — commonly awareness, consideration and decision — with fewer people at each step. It is useful for finding where prospects drop out.
Marketing subscription
A marketing subscription is a marketing service sold like software: a fixed monthly price, a published scope, and the ability to change plan or cancel without a long contract. Variants include unlimited-request human teams, self-serve AI tools, and AI-produced, human-reviewed services such as Growth-as-a-Service.
Martech stack
A martech stack is the set of software a company uses for marketing: CRM, email, analytics, ads, content and automation. Chiefmartec counted 15,505 marketing technology products in 2026, and Gartner found in 2023 that marketers used only about a third of their stack's capability.
MQL / SQL
A Marketing Qualified Lead (MQL) is a lead that marketing judges likely to become a customer based on fit and behavior; a Sales Qualified Lead (SQL) is one that sales has accepted as a real opportunity. The definitions should be agreed between both teams, or the handoff becomes a source of conflict.
MRR / ARR
Monthly Recurring Revenue (MRR) and Annual Recurring Revenue (ARR) are the predictable subscription revenue a business earns per month or per year. They exclude one-time fees and are the base numbers a subscription business is built to grow.
North Star metric
A North Star metric is the single measure that best captures the value customers get from a business and that predicts long-term revenue. It keeps teams from optimizing activity metrics that do not move the company.
Orchestrator
An orchestrator is the lead AI agent that holds the strategy and coordinates specialist agents so their work points in the same direction. It assigns tasks, passes context between agents and assembles the result for human review.
Outcome-based pricing
Outcome-based pricing charges for results achieved — a resolved ticket, a qualified lead — instead of seats, hours or usage. Venture firm Andreessen Horowitz argues AI is pushing software toward this model, though it remains uncommon in services, where flat subscriptions are easier for buyers to budget.
Passage retrieval (chunking)
Passage retrieval, or chunking, is how retrieval systems split pages into short passages and score those, not whole pages. Microsoft's guidance on AI search recommends clear headings, question-and-answer blocks and tables, and warns against hiding answers inside tabs. It is the reason each section should answer its heading in the first sentence.
Source: Microsoft Advertising
Pillar page
A pillar page is a comprehensive guide to a core topic that links out to more detailed articles on each subtopic, which link back to it. The resulting topic cluster signals topical authority and gives search and AI systems a clear map of what a site knows.
Pipeline
Pipeline is the set of open sales opportunities moving toward becoming customers, usually shown by stage and value. It is the metric that connects marketing activity to revenue; rising output with a flat pipeline means the work is not reaching buyers.
Productized service
A productized service is professional work packaged with a fixed scope, fixed price and standard process, so it can be bought without a custom proposal. Productizing removes negotiation and makes cost predictable; the trade-off is less customization than a bespoke engagement.
Query fan-out
Query fan-out is the technique in which an AI search system breaks one question into several sub-questions and runs those searches simultaneously before composing an answer. It explains why a page can be cited for a query it never targeted: it answered one of the sub-questions well.
Source: Google: AI Mode update
RAG (Retrieval-Augmented Generation)
Retrieval-Augmented Generation (RAG) is an AI architecture that retrieves relevant external documents at answer time and feeds them to a language model, combining the model's built-in knowledge with current sources. RAG is the mechanism that makes web pages citable by AI assistants.
Source: Lewis et al., 2020
ROAS (Return on Ad Spend)
Return on Ad Spend (ROAS) is revenue attributed to advertising divided by the cost of that advertising. A ROAS of 4 means four dollars of revenue per dollar spent. It measures campaign efficiency, not profit, because it ignores margins and other costs.
Scale AI-hub
The Scale AI-hub is Scalehackerlab's live client workspace, where work in progress, the content calendar, KPIs, sales pipeline and approvals live in one place. It replaces the monthly PDF report with numbers a client can open any day.
Search intent
Search intent is the goal behind a query: to learn something, to find a specific site, to compare options or to buy. Matching a page's format and depth to the intent is the most reliable predictor of whether it can rank or be cited for that query.
SEO (Search Engine Optimization)
Search Engine Optimization (SEO) is the practice of improving a website so it earns more relevant, unpaid traffic from search engines. It covers technical access, content that satisfies search intent, and authority earned through links and mentions — the same foundations that AI answer engines draw on.
Service-as-software
Service-as-software describes companies that use AI to deliver the finished work a services firm would deliver, rather than selling a tool the customer must operate. Sequoia Capital frames the opportunity this way: "For every dollar spent on software, six are spent on services."
Structured data (schema markup)
Structured data is a standardized format, usually schema.org vocabulary written as JSON-LD, for describing a page's content to machines: that this is an article, a product, a FAQ, a local business. It helps search and AI systems parse facts accurately, though Google says it is not a special requirement for AI features.
Source: Google Search Central
Zero-click search
A zero-click search is a search that ends without a click to any website because the results page itself answered the question. SparkToro and Similarweb data for early 2026 put 68% of US Google searches in this category, up from about 60% in 2024.
Source: SparkToro