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AI Growth Partner for Modern Businesses. Strategy first. Execution when you need it.
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Seattle (major city in the state Washington).

AI Search Optimisation Services

What Is AI Search Optimization?

AI Search Optimization is the practice of building the content authority and entity signals that cause AI models like ChatGPT, Gemini, Perplexity and Google AI Overviews to cite your brand when generating answers for queries in your category.

In 2025 and 2026, the way buyers search changed permanently. A growing share of B2B decision-makers now open ChatGPT or Gemini first, type their question, read the AI-generated answer, and act on the brands the AI cites without visiting multiple websites. If your brand is not in that answer, you do not exist at the moment of highest buying intent.

AI Search Optimisation is also called AEO (Answer Engine Optimisation), GEO (Generative Engine Optimisation) or LLM Optimisation. It is different from traditional SEO it builds the entity coverage, content structure and topical authority that AI models require to trust a source. Earticle Media has been building this capability since 2022, before it became a mainstream service category in India.

Why AI Search Visibility Is the Most Important Growth Channel for B2B Companies Right Now

Google AI Overviews now answer queries directly on the results page, cutting click-through rates for pages that ranked on page one but were not structured for AI extraction. ChatGPT and Gemini are the first research stop for a growing share of B2B buyers.

Traditional SEO rankings still matter but they address a shrinking share of the buyer journey. Buyers who use AI search are typically higher-intent, deeper in the research process, and more likely to book a meeting or fill a form. They ask detailed questions and act on the sources AI cites. Building AI search visibility now before most competitors creates a compounding lead channel that does not turn off when your ad budget stops.

Core AI Search Capabilities

  • SEO, AEO, GEO & LLM Optimisation
  • Google AI Overview Optimisation
  • ChatGPT & Gemini Visibility
  • Content Strategy for AI Search
  • Authority & Topical Growth

Our AI Search Optimisation Framework

Earticle Media’s AI Search Optimisation framework runs in four stages: a free visibility audit, a paid topical map and strategy sprint, a content build and technical optimisation phase, and monthly monitoring to track and expand AI citations.

AI Visibility Audit (Free)

We run a tool-driven scan of your current presence in ChatGPT, Gemini, Perplexity and Google AI Overviews. You receive a report showing which queries cite your brand, which cite competitors, and where the highest- value gaps are. This step has no cost and no commitment.

Topical Map & Content Architecture

We design the complete content architecture your domain needs every entity, attribute and content cluster that AI models require to associate your brand with your category. Delivered as a written document with priorities, timelines and ready-to-use content briefs.

Content Build & Technical Setup

Our team builds the long-form articles, structured answers and entity pages defined in the topical map. Technical setup covers schema markup, entity disambiguation and internal link architecture all of which reduce the cost of AI retrieval from your domain.

Monthly Monitoring & Expansion

We track your brand's appearance in AI answers every month across all four major platforms. Every quarter, the topical map is reviewed and new content clusters are added to expand your citation footprint.

Key Benefits

  • Consistent inbound discovery from buyers already researching your category
  • Brand authority that compounds month over month unlike paid ads that stop
  • Reduced dependence on ranking position as the only source of organic traffic
  • Better-qualified leads buyers who find you through AI search are typically further along the buying process

Earticle Media’s AI Search Optimisation programme is built for B2B companies and SMEs that want to own their category in AI-generated answers. We start with a free diagnosis, move into a fixed-price strategy sprint, and offer full execution for companies that want to hand off the content and technical work to our team. Every programme is measured on one metric that matters: how many AI answers cite your brand at the end of each quarter.

Frequently Asked Questions

AI Search Optimisation includes five areas of work: AEO (structuring your content so AI engines extract it as a direct answer), GEO (building citation signals across generative platforms like ChatGPT and Gemini), LLM Optimisation (ensuring your brand appears in language model-generated answers), technical setup including schema markup and entity disambiguation, and monthly AI citation monitoring so you can track whether your programme is working.
No. AI search optimisation works for any company that builds topical authority in a defined content area. A focused B2B company with a narrow specialisation often builds AI citations faster than a large brand spread across many topics because AI models value depth and completeness over domain size. We design programmes for companies at every stage of content maturity, including those starting from zero.
Traditional SEO optimises for Google's ranking algorithm keywords, backlinks, page speed and click-through rate. AI search optimisation builds the signals that AI models use to generate answers entity coverage, topical authority, structured content formats and citation worthiness. Both are needed today. They address different parts of the buyer journey. In most engagements, we run both in parallel, with AI search strategy sitting above the traditional SEO layer.
We use a combination of structured prompt testing across your category's key queries and AI visibility monitoring tools. Every month you receive a report showing which specific queries cite your brand, which cite competitors, and where new citation opportunities have opened. You see the exact AI-generated answer text and the source citation not just impressions or estimated traffic.
First AI citations for a new content cluster typically appear within 6–12 weeks of publication, depending on the topic and platform. Consistent citation patterns across ChatGPT, Gemini and Google AI Overviews generally take 3–6 months to build. We set honest timelines in the strategy sprint and review progress every quarter with a written milestone report — not a verbal update.