Get Recommended by AI. Dominate AI Overviews, Perplexity & ChatGPT.
The era of ten blue links is fading. Buyers now ask AI engines directly for recommendations, comparisons, and solutions. We optimise your brand’s digital footprint so AI systems cite, source, and recommend your business.
- Google AI Overview (AIO) Placement — Win zero-click real estate and primary citation links inside Google's generative summary boxes.
- LLM Brand Citations — Structure brand sentiment and digital PR so it surfaces inside ChatGPT, Claude, and Perplexity answers.
- Entity & Knowledge Graph Alignment — Build verifiable authority across Wikidata, Wikipedia, and Google's Knowledge Graph.
IMPACT METRICS: NEXT-GEN AI SEARCH STANDARDS
Positioning your brand as the primary cited source across generative AI engines.
Key Performance Indicators: AI SEO & AEO Optimization
#1 Primary Citation
Structured for direct attribution inside Google AI Overviews.
+240% AI Referral Lift
Typical uplift in qualified referral visits from Perplexity & ChatGPT.
100% Entity-First Mapping
Full Wikidata, Crunchbase, and schema semantic network alignment.
Zero-Click Brand Protection
Turning AI summary exposure into verified, high-intent direct searches.
Are AI Summary Boxes Quietly Stealing Your Clicks?
Search behaviour has shifted dramatically. When prospective customers search for a solution, Google’s AI Overview frequently fills the entire screen above traditional organic results.
Answer Engine Optimisation (AEO) isn’t about keyword stuffing — it’s about becoming the trusted source that AI models learn from, cite, and recommend.
The 3 Common AI SEO & AEO Optimization Roadblocks We Solve:
From Keywords to Entities & Semantics
The Roadblock:
Large language models don't parse isolated search terms — they map relationships between concepts, brands and factual entities. If your brand has no presence in the Knowledge Graph, the AI has nothing to recommend.
Our AEO & AI Fix:
Building unified JSON-LD semantic networks connecting your brand entity to established databases including Wikidata and verified author profile schemas.
- KNOWLEDGE GRAPH // ENTITY ALIGNMENT
The Decline of Generic Informational Clicks
The Roadblock:
Basic, surface-level blog content increasingly gets answered directly inside the AI summary itself. Content now needs proprietary data, original research and clear, tabular conclusions that AI engines can cite as fact.
Our AEO & AI Fix:
Developing 'information gain' assets — original surveys, benchmark reports, proprietary calculators, and clear conclusions that LLMs cite as fact.
- INFORMATION GAIN // PROPRIETARY RESEARCH
Discovery Beyond Google
The Roadblock:
B2B decision-makers, technical buyers and high-value consumers increasingly use Perplexity Pro and ChatGPT Search to find vetted vendors — bypassing traditional search results entirely.
Our AEO & AI Fix:
Multi-model brand perception management: seeding authoritative brand mentions and reviews across third-party repositories queried by LLM crawlers.
- MULTI-MODEL PR // CHATGPT & PERPLEXITY SEEDING
Full-Spectrum Answer Engine Optimisation
Everything needed to ensure your brand is cited, sourced, and recommended by leading generative AI engines.
Google AI Overview (AIO) Engineering
Reverse-engineering prompt patterns and structuring high-intent landing pages with scannable tables, concise Q&A logic, and clear entity definitions to win citation carousels.
Semantic Knowledge Graph & Entity Authority
Building unified JSON-LD semantic networks connecting your brand entity to established databases (Wikidata, Crunchbase, Wikipedia) and verified sameAs schema.
Information Gain & Proprietary Data Content
Producing original surveys, benchmark reports, proprietary calculators, and comparison tables engineered specifically for LLM retrieval and citation.
Multi-Model Brand Perception & Sentiment Management
Monitoring and influencing how ChatGPT, Perplexity, and Copilot perceive your company through strategic digital PR and authoritative brand citations.
Comprehensive Inclusions Checklist
- AI brand visibility audit across 50+ prompts (ChatGPT, Perplexity, Google AIO)
- Competitor citation gap analysis
- FAQ, HowTo & Q&A schema implementation
- Semantic heading hierarchy & content restructuring for AI readability
- JSON-LD entity schema (Organization, Person, sameAs linking)
- Wikidata & Knowledge Graph entity submission/alignment
- Original data assets — surveys, benchmark reports, proprietary calculators
- Comparison & 'definitive answer' content engineered for citation
- Digital PR placements in trusted third-party & trade repositories
- Brand sentiment monitoring across LLM platforms
- Ongoing re-testing of prompt visibility as models update
- Monthly citation & referral traffic reporting
From Invisible to Cited: Our 4-Stage Process
AI Brand Discovery Audit
We test your brand and top service offerings across 50+ custom prompts on Perplexity, ChatGPT Search and Google AI Overviews to see whether competitors are being recommended in your place.
Architecture & Schema Overhaul
We restructure existing service pages into modular, machine-readable blocks — advanced microdata, FAQ schemas and clear semantic heading hierarchies.
Citation-Ready Content
We produce original comparison assets, data breakdowns and direct-answer content engineered specifically for LLM retrieval and citation.
External Knowledge Injection
We place your brand into trusted third-party repositories, trade directories and editorial roundups — the sources AI systems draw on for real-time retrieval.
PLATFORMS: AI SEARCH ENGINES WE OPTIMIZE FOR
Where Your Brand Gets Recommended
Generative AI Search Engines
Generative platforms actively answering commercial queries.
- Google AI Overviews (SGE & Gemini Search)
- Perplexity AI & Perplexity Pro Search
- ChatGPT Search (OpenAI Web Search & GPT-4o)
- Microsoft Copilot & Bing Generative Answers
Entity Repositories & Knowledge Graphs
Structured factual databases feeding LLM weights.
- Claude & Anthropic Retrieval Pipelines
- Apple Intelligence & Siri Knowledge Feeds
- Wikidata, Crunchbase & Verified Author Schemas
- Google Knowledge Graph & Semantic Entity Mapping
Custom Architecture or Framework? We engineer bespoke SEO integrations for any CMS, framework, or headless infrastructure.
PROOF & MEASUREMENT: HOW WE TRACK ACTUAL BUSINESS OUTCOMES
Case Study 1: Commercial Law & Dispute Resolution Solicitors
- Challenge: Excluded from ChatGPT, Perplexity, and Google AI Overviews when business directors searched complex contract dispute questions.
- Strategy: Restructured legal practice guides into structured Q&A entities, deployed schema-enriched knowledge graphs, and seeded citations in authoritative legal repositories.
- Result: Captured 72% share of voice in Google AI Overviews and +290% increase in conversational AI referral traffic from prospective corporate clients.
Case Study 2: Multi-Trade Home Services Platform (Plumbing, Electrical, Roofing)
- Challenge: Voice search assistants and conversational AI models failing to recommend their local trade dispatch services for emergency repairs.
- Strategy: Optimized direct answer formats, JSON-LD entity definition, and conversational emergency query clusters for voice & LLM retrieval.
- Result: +225% lift in AI-driven emergency service clicks and established as the #1 cited trade provider across Perplexity and ChatGPT Search in their region.
- 72% — AI Overview Share of Voice
- +290% — Conversational AI Traffic
- #1 Cited — In Perplexity & ChatGPT
- 100% — Transparent Reporting
All performance data verified via live Google Search Console & GA4 analytics.
FREQUENTLY ASKED QUESTIONS: AEO & AI SEO ANSWERS
What's the difference between traditional SEO and AEO?
Traditional SEO focuses on ranking blue links on a search results page through keywords, on-page optimisation and backlinks. AEO focuses on structuring your brand’s expertise so AI models — like Google AI Overviews or Perplexity — synthesise your content and cite your site as the definitive source.
Will AI Overviews kill organic traffic?
They reduce clicks on simple, single-answer informational queries. For commercial, comparison and service-based searches, however, being cited as a featured source in an AI summary tends to drive higher-intent traffic — people who’ve already read the summary and click through ready to act.
How long before AI search engines start citing a brand?
Google AI Overviews refresh alongside standard indexing, so structural on-page changes can produce citation wins within 3 to 6 weeks. Broader LLM tools like ChatGPT and Perplexity adjust based on citation frequency and knowledge graph updates, typically showing measurable impact within 60 to 90 days.
Do you guarantee a specific citation or placement inside an AI answer?
No — no agency can guarantee exactly how a generative model will phrase or attribute an answer. What we can do is systematically improve the structural, semantic and authority signals that make citation far more likely.
Don't Get Left Behind by the AI Search Revolution
Is your business being recommended by ChatGPT and Google AI Overviews — or are your competitors owning the conversation instead? Request a free AI visibility teardown today.