Frequently asked questions

SEO helps search systems discover, understand, and evaluate useful website content. For a B2B company, AEO emphasizes clear, supportable answers to buyer questions in answer-led experiences. The work overlaps: Google applies its usual SEO foundations to generative Search, while other platforms have their own retrieval and reporting systems. Define the buyer decision, evidence, implementation owner, and reporting scope before buying additional work. Neither approach guarantees rankings, citations, leads, or revenue.

Read the B2B AEO versus SEO scope guide for responsibilities and reporting boundaries.

AI tools cite sources that are authoritative, structured, and semantically clear. The key steps are: build topical depth across your subject matter, implement FAQPage and entity schema, write answer-first content, strengthen your brand's citation footprint on trusted third-party sources, and get listed in publications AI systems already trust. Integrated.Social's AEO/GEO service covers all five steps as a managed program.

Google AI Mode generates synthesised answers instead of ranked links. Optimizing for it requires answer-first content architecture, comprehensive schema markup, strong E-E-A-T signals, and topical authority across your core subject matter. Brands that rank well in traditional search do not automatically appear in AI Mode - the signals are different. Integrated.Social's Google AI Mode Optimization service addresses this gap directly.

LLMO ensures your brand appears in AI model knowledge, not just real-time search. When someone asks ChatGPT about your market, your brand should be part of the answer even without a live web search. This requires building citations across high-authority publications and structured data sources that LLM training pipelines prioritize. LLMO is a long-term brand authority program, not a quick-fix tactic.

Both models are available. For some clients, Modi works as an embedded fractional CMO attending leadership meetings and owning strategy. For others, a project or retainer model works better with defined scope and milestones. All delivery is senior-led - you work directly with Modi, not handed to a junior team. The right model depends on your team's existing capability and how much strategic ownership you want to retain.

A Gemini Enterprise Agentic AI environment connects bounded research, qualification, drafting and handoffs within approved tools. Your team agrees permitted data, written fit criteria, exceptions and a named senior reviewer. Agents prepare source-backed evidence and draft follow-ups; people approve buyer-facing messages, and spending, publication and consequential CRM writes require separate permission. Sales confirms acceptance. An AI score does not establish purchase intent, and no workflow guarantees pipeline growth.

The art is brand positioning, persona psychology, and creative messaging - this requires human expertise and cannot be automated. The science is structured A/B testing, attribution modeling, and agentic execution. Every campaign starts with audience understanding and brand truth, then scales through systematic experimentation and AI-powered delivery. Neither half works without the other, which is why we do not offer AI tools without strategic context.

An AI-first B2B marketing agency connects buyer research, approved messaging, search-ready pages, campaign tests and bounded workflows in one commercial plan. Typical deliverables include a buyer-question map, priority page improvements, a test plan and a measurement record. A named person approves claims, publication and spending. Scope follows the company data, sales process and goals; using AI does not guarantee citations, leads, profitable campaigns or revenue.

AI visibility has no universal score: record the engine, prompt panel, observation date and visible evidence for each measurement. Citations, rankings and leads are observed, not guaranteed. Walker Sands' H1 2026 benchmark covered more than 45 million relevant Google keywords across 828 enterprise B2B companies in 14 technology sectors. It reported a 3.0% median citation-inclusion rate and 4.6% of companies receiving no citations; those observations are specific to that defined study and are not a transferable market-wide promise.

Six differences: we deploy live systems, not strategy decks; all delivery is senior-led by Modi; we have built enterprise AI agent systems since 2023; we are among the first UK agencies with a dedicated AEO/GEO/LLMO practice; every engagement is measured against pipeline and revenue; and we combine brand expertise with AI execution. Teams can begin with a paid AI Visibility Audit before deciding whether an implementation programme is appropriate.

We map your buying committee and craft distinct messaging for each role. The CFO sees ROI and risk reduction; the CMO sees brand growth; the practitioner sees efficiency. This precision is what separates leads that convert from leads that ghost, and it is what makes agentic AI outreach effective at scale. Persona mapping is the foundation of every engagement we take on.

The Free AI Visibility Score is £0. The AI Visibility Audit is From £750 one-off, a paid diagnostic. AI Citation Program (our Foundation program): Introductory price: From £2,200/month for your first 3 months only, for programs started by December 28, 2026. Standard price: From £3,000/month from month 4. Foundation covers up to 25 priority pages and Growth starts From £5,000 per month for up to 100 priority pages, each with a 90-day initial term. Compare all listed prices at https://integrated.social/pricing/.

Yes. The AI Visibility Audit is From £750 one-off, a paid, senior-led diagnostic. It is separate from the Free AI Visibility Score. See the scope at https://integrated.social/pricing/.

The AI Visibility Audit is included at the start of the AI Citation Program (our Foundation program) at no extra charge. Bought on its own: From £750 one-off. See pricing at https://integrated.social/pricing/.