/ THE SHORT ANSWER
Build on established SEO foundations, then make original business evidence easier to retrieve and verify. Keep important pages crawlable, explain the entity and offer consistently, answer real buyer questions with first-hand evidence, earn corroboration beyond the company website, and measure qualified discovery. No special schema, acronym or volume of AI-written pages can guarantee a citation or recommendation.
- 01Use AI SEO as the accessible category, while treating established SEO as the foundation.
- 02Publish evidence that only the business could credibly provide.
- 03Measure citations and qualified demand alongside rankings and clicks.
/ dotSuper point of view
AI search visibility is earned when a buyer question meets clear first-party evidence, independent corroboration and a technically accessible page. The job is to make expertise verifiable, not merely abundant.
What AI SEO should mean for a B2B company
AI SEO is the work of making a business eligible, understandable and useful across conventional search and AI-assisted discovery. GEO and AEO are emerging labels inside the same operating problem. Google states that existing SEO practices remain foundational for its generative AI features, and that crawlability, valuable non-commodity content and a good page experience still matter.
OpenAI similarly says that public websites can appear in ChatGPT search and that publishers should allow OAI-SearchBot if they want content to be discoverable, cited and linked. Eligibility is only the first layer. Neither Google nor OpenAI guarantees placement.
Five layers of discoverable evidence
A B2B visibility programme should connect technical access, entity clarity, answerable evidence, external corroboration and measurement. Working on only one layer creates a misleading result. A technically perfect page with no original evidence is still interchangeable. A strong case study hidden behind a blocked or confusing site is difficult to retrieve.
THE DISCOVERY SYSTEM
Five layers, one commercial outcome.
Each layer needs an owner, evidence and a review signal.Crawlability, indexation, performance and usable page structure.
Consistent facts about who the company serves, does and proves.
Original cases, data, methods, limitations and named decisions.
Relevant third-party references, profiles, coverage and citations.
Qualified visits, enquiries, assisted pipeline and citation visibility.
The framework is a dotSuper operating model. It is not a representation of a search engine ranking formula.
View the chart data
| Layer | Primary question | Signal |
|---|---|---|
| Access | Can search systems retrieve and render the page? | Indexed, eligible pages and healthy experience |
| Entity | Can the company and offer be understood consistently? | Stable names, descriptions, profiles and relationships |
| Evidence | Does the page contain something worth citing? | First-hand data, decisions, methods and limitations |
| Corroboration | Do relevant external sources support the entity? | Editorial mentions, case references and trusted profiles |
| Demand | Does discovery create useful commercial movement? | Qualified sessions, next-page visits and enquiries |
Map pages to the buyer’s decision, not a keyword list
A technical B2B buyer rarely moves from a definition directly to a calendar. The content system should answer the sequence of questions that changes a decision: understand the problem, compare approaches, inspect evidence, evaluate risk and act.
| Decision stage | Buyer question | Best page format | Proof required |
|---|---|---|---|
| Understand | What is changing and why does it matter here? | Evidence-led explainer | Primary sources and operating context |
| Compare | Which approach fits this workflow? | Fair comparison | Criteria, exclusions and trade-offs |
| Evaluate | Can this team deliver safely and usefully? | Case study or method page | Scope, baseline, observed result and limits |
| Procure | What happens, costs and remains ours? | Product or service page | Deliverables, timeline, ownership and next step |
| Act | What should we bring to the first conversation? | Focused CTA or diagnostic | Low-friction preparation and calendar |
A 90-day AI SEO operating plan
Days 1 to 30 establish the baseline: crawl and index status, entity consistency, existing rankings, AI citations, referral tracking, conversion events and the questions real buyers ask. Days 31 to 60 publish a small number of high-evidence pages and strengthen the sources that corroborate the company. Days 61 to 90 measure retrieval, citations, impressions, engaged visits and enquiries, then improve the few pages that show real signals.
| Period | Work | Decision signal |
|---|---|---|
| Days 1–30 | Technical, entity, content, prompt and measurement baseline | Where is the business absent, unclear or unsupported? |
| Days 31–60 | Publish original evidence and improve corroborating profiles | Which buyer questions can the company now answer credibly? |
| Days 61–90 | Measure, test snippets, strengthen winners and retire noise | Which visibility produces qualified movement? |
What not to buy from an AI SEO provider
Be cautious when a provider guarantees rankings, citations or inclusion in an AI answer. Also question programmes that rely on hundreds of shallow pages, unexplained prompt scores, unsupported review placements, or a new schema presented as a secret ranking switch. Google explicitly warns against creating many pages for slight query variations and prioritises unique, useful content.
- A guaranteed ChatGPT recommendation or Google AI citation.
- A dashboard score without the prompts, locations, dates and raw outputs.
- Pages that repeat public summaries without first-hand business evidence.
- Off-site mentions that are paid, undisclosed or irrelevant to the buyer.
- Traffic reporting that never connects to qualified actions or pipeline.
What this page cannot conclude
- 01Search and AI platforms do not disclose complete ranking or citation systems.
- 02Prompt outputs vary by model, date, location, wording and available sources.
- 03Crawlability, structured data and good content cannot guarantee indexation, ranking, citation or commercial results.
Sources
- 01Optimizing Your Website for Generative AI Features on Google SearchGoogle Search Central · accessed Sep 7, 2026
- 02Creating Helpful, Reliable, People-First ContentGoogle Search Central · accessed Sep 7, 2026
- 03Introduction to Structured Data Markup in Google SearchGoogle Search Central · accessed Sep 7, 2026
- 04Using Search Console and Google Analytics Data for SEOGoogle Search Central · accessed Sep 7, 2026
- 05Publishers and Developers FAQOpenAI Help Center · accessed Sep 7, 2026
- 06Introducing AI Performance in Bing Webmaster ToolsMicrosoft Bing Webmaster Blog · accessed Sep 7, 2026
- 07Traffic Acquisition ReportGoogle Analytics Help · accessed Sep 7, 2026
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