B2B AI search changes how buyers find and compare suppliers, but your priorities remain clear: publish useful answers, support claims with evidence and track qualified enquiries. These 15 terms help you distinguish search features, optimisation methods and visibility metrics, so you can judge what needs attention.
The terminology gets confusing when platform names and marketing shorthand appear in the same conversation. A citation, for example, isn’t proof of commercial performance.
Start with what the systems do, then consider what you can improve and measure.
Core B2B AI search terms
1. AI search
AI search uses artificial intelligence to interpret questions, retrieve information and produce answers or search results. For your marketing team, the relevant experiences include Google AI Overviews, Google AI Mode, ChatGPT search and Perplexity.
Buyers can ask detailed questions about suppliers, pricing, implementation and suitability before visiting a website. Your content therefore needs to explain the buying decision, rather than repeat a category keyword.
Start with questions from sales conversations. Flow20’s guide to AI keyword strategy helps you connect those questions with search demand and commercial intent.
2. Large language model (LLM)
A large language model generates and interprets language using patterns learned during training. Google’s Gemini models and OpenAI’s GPT models are examples.
An LLM isn’t automatically a live search engine. Depending on the product and configuration, it may use retrieved web information, supplied documents or information learned during training.
This distinction matters when you test your visibility. Record which product you used and whether web search was active. Otherwise, you might compare a web-supported answer with one produced without current retrieval and mistake the difference for a marketing problem.
Google’s AI search features
3. AI Overviews
AI Overviews are Google’s AI-generated summaries within Search, with supporting links that let users explore sources.
For your website to qualify as a supporting link, Google says the page must be indexed and eligible to appear in Search with a snippet. Eligibility doesn’t guarantee selection.
Google’s guidance on AI search features points you towards established search practices. Check that buyers can access the answer and that important pages are indexable before commissioning an AI-specific content campaign.
4. AI Mode
AI Mode is Google’s conversational search experience for more involved questions and follow-up exploration. A buyer can add requirements as their research develops.
Consider the difference between searching for “CRM software” and asking which CRM supports Salesforce-related workflows and particular reporting requirements. The second question needs a more detailed response.
Your content should explain capabilities, constraints and implementation, rather than rely on a product description. Use AI content briefs to bring these requirements into page planning before drafting begins.
5. Query fan-out
Query fan-out means a system issues multiple related searches to gather material for one answer. Google says AI Mode and AI Overviews may use this approach.
One buyer question can therefore draw on several supporting topics. A supplier comparison might require service descriptions, integration documentation, pricing explanations and independent evidence.
Google’s generative AI optimisation guide explains this broader retrieval process. Use it as a reason to improve relevant coverage, not to create a separate page for every possible question variation.
Optimisation terms you’ll hear in agency conversations
6. Generative engine optimisation (GEO)
Generative engine optimisation is industry shorthand for improving how your information can be discovered, understood and used in AI-generated answers.
In practice, this means accessible pages, direct answers, original evidence and current business information. It doesn’t provide a guaranteed route into ChatGPT, Perplexity or Google’s answers.
Keep this work within your SEO strategy. If buyers ask about implementation, improve the implementation content. Flow20’s AIO strategy for B2B service pages gives you a practical starting point for making the offer, evidence and next step clearer.
7. Answer engine optimisation (AEO)
Answer engine optimisation focuses on making content useful for systems that respond directly to questions. The term overlaps with GEO, and neither is an official Google feature name.
For your team, the practical instruction is straightforward: answer the question early, then explain the conditions and supporting evidence.
If you publish information about Salesforce integration, state what connects, which data moves and what setup requires. A brief confirmation without limitations won’t help a technical buyer assess suitability, even if an answer engine repeats it.
How AI retrieval connects questions with content
8. Retrieval-augmented generation (RAG)
Retrieval-augmented generation combines retrieved information with language generation. A system finds relevant material and supplies it to a model as context for its response.
You might use RAG in an internal assistant that answers questions using approved product documentation and service information. The general definition doesn’t establish how every public search product works.
Your practical concern is source quality. Keep documents current, assign owners and separate public information from restricted material. Retrieving an outdated offer efficiently still produces an outdated answer.
9. Embeddings
Embeddings are numerical representations of information that help systems compare similarity. They can represent text and, with suitable models, other content types.
You don’t need to understand every calculation to recognise the marketing implication. A buyer’s question and your page can express related ideas without using identical wording.
However, embeddings aren’t a direct Google AI search optimisation target. Write clearly about the actual task, terminology and constraints. AI keyword clustering can help you organise related demand without creating near-duplicate pages.
10. Vector search
Vector search retrieves items by comparing their numerical representations, often to find semantically similar information. It’s one retrieval method, rather than a synonym for AI search.
If you’re building a knowledge assistant, vector search can help match a question with relevant passages. Other methods, including keyword matching, may also be useful.
Your evaluation should use real buyer questions. Check whether the system retrieves the current integration explanation or an older, broadly related article. A relevant-sounding passage isn’t necessarily the right source for a precise commercial answer.
Make your business information understandable
11. Entity
An entity is an identifiable thing, such as your company, a product, a person or a location. In search discussions, entity work concerns how these things and their relationships are understood.
For your business, consistency matters. Your website, business profiles and third-party descriptions should agree on your name, services and location.
If an AI answer names your company but describes an old service, examine the available information beyond your website. Flow20’s guide to AI search visibility gaps helps you connect answer problems with missing or conflicting content.
12. Structured data
Structured data is machine-readable information that describes page content using a defined format. Schema.org provides commonly used vocabularies for organisations, products and other entities.
Use appropriate markup that matches what buyers can see on the page. Don’t add unsupported claims or treat markup as a substitute for a useful explanation.
Google says no special structured data is required for AI Overviews or AI Mode. Accurate markup can support understanding, but it doesn’t guarantee inclusion. Keep your attention on the visible answer, access and evidence as well.
Measure AI search performance without overstating it
13. Zero-click search
A zero-click search ends without a click through to an external website. An AI answer can contribute to this behaviour, but an AI-generated response doesn’t automatically mean no click occurred.
For your reporting, separate informational searches from buying questions. Someone checking a definition has different needs from someone comparing implementation partners.
Avoid assuming that every lost visit is a lost opportunity. Review relevant traffic and lead quality together. A traffic change alone can’t tell you whether your business gained or lost valuable demand.
14. Citation
A citation identifies or links to source material used in an answer. A brand mention names your business; these are separate observations.
Your company might be mentioned while the supporting link points to a directory or publication. Record the source page and check whether the answer describes your business accurately.
A citation to a third-party page is evidence of source selection, not evidence that a buyer visited your website.
Use AI SEO quality control to review outdated claims, conflicting descriptions and unsupported promises across your content.
15. AI search visibility
AI search visibility is your observed presence in AI-generated answers across an agreed set of buyer questions. You can track mentions, citations and recommendations against relevant competitors.
Treat this as a sampled benchmark, not universal market share. Results can differ by platform, wording, location, date and follow-up question.
Keep the prompt set stable enough to compare results. Then connect observations with identifiable referral visits, qualified enquiries and opportunities. Flow20’s AI search reporting guide explains how to keep visibility signals separate from pipeline outcomes.
Put the glossary to work in your marketing plan
You don’t need fifteen separate workstreams. Group the terms by the decisions they help you make.
| Term group | Your practical question | Useful next step |
|---|---|---|
| Search features | Where are buyers researching? | Test relevant questions across selected platforms. |
| GEO and AEO | Are your answers useful? | Improve service, comparison and implementation pages. |
| Retrieval concepts | Can a system find reliable material? | Review source ownership, access and freshness. |
| Visibility metrics | Does exposure support demand? | Compare mentions and citations with qualified enquiries. |
The priority is fixing the weak point your review exposes, rather than adopting every technique in the glossary.
Apply the same discipline to paid campaigns. Buyer questions discovered through B2B AI search testing can inform PPC messaging, but you still need campaign data to judge performance.
If pricing concerns recur, review the explanation on your Google Ads landing pages. When service terms change, check the offers used in Facebook Ads too. Buyers shouldn’t receive conflicting information depending on where they find you.
Change one major variable at a time, and ask sales whether the resulting enquiries fit your service.
Start with the answers your buyers need
The value of this glossary is knowing what each term can tell you, and where its limits lie. Your strongest starting point remains reliable buyer information, supported by accessible pages and credible evidence.
Choose your highest-priority service page and review it against recurring sales questions. If you need help connecting that work with lead generation, Flow20’s Digital marketing team can help you turn the findings into a practical plan.
