SEO AEO and GEO

Search is transforming. Traditional SEO (Search Engine Optimization) that focuses solely on Google rankings is no longer sufficient. The rise of AI-powered search platforms — ChatGPT, Perplexity AI, Google's AI Overviews, Microsoft Copilot, Gemini — has fundamentally changed how users discover information and businesses.

By 2026, an estimated 45% of search queries will bypass traditional search engine results pages entirely, going straight to AI-generated answers. According to Gartner's 2025 research, traditional search engine traffic declined 18% year-over-year for the first time, while AI search platform usage grew 320%. This shift demands a new approach: optimizing not just for search engines, but for AI systems that synthesize, summarize, and recommend.

Three pillars of modern search visibility:

SEO (Search Engine Optimization) — Traditional optimization for Google, Bing, and other search engines. Focuses on rankings, organic traffic, and appearing in search results pages. Still critical: Google processes 8.5 billion searches daily.

AEO (Answer Engine Optimization) — Optimizing for AI systems that provide direct answers rather than links. Targets platforms like ChatGPT, Perplexity AI, Google AI Overviews, Claude, and voice assistants. Focus: becoming the cited source for AI-generated answers.

GEO (Generative Engine Optimization) — Advanced optimization for generative AI models that create comprehensive responses. Goes beyond simple answers to influence how AI systems synthesize information, recommend solutions, and present brand positioning in multi-paragraph generated content.

Most organizations are dangerously behind. They've optimized websites for Google's 2015 algorithms while the search landscape has fundamentally transformed. Meanwhile, competitors who understand AI search optimization are capturing visibility in ChatGPT results, Perplexity citations, and Google AI Overviews — the new front page of the internet.

We provide comprehensive search optimization across all three pillars — ensuring your business is visible wherever your customers search, whether that's Google, ChatGPT, Perplexity, or emerging AI platforms.

Why traditional SEO-only strategies are failing

1. Zero-click searches eliminate traffic despite rankings

The scenario: A commercial insurance broker invests £85,000 over 18 months in traditional SEO, achieving strong rankings: #2 for "business liability insurance UK", #3 for "professional indemnity insurance", #4 for "cyber insurance for SMEs". Traffic expectations: 2,400 monthly organic visitors based on keyword search volumes. Actual traffic: 680 monthly visitors (72% below expectations).

The issue: Google now displays AI-generated overviews for 68% of their target keywords, providing comprehensive answers directly in search results. Users get their questions answered without clicking through to any website. Featured snippets, People Also Ask boxes, and AI Overviews occupy 85% of above-the-fold space on mobile — traditional organic results are pushed below the scroll.

The cost: £85,000 SEO investment delivering only 28% of expected traffic. Opportunity cost: meanwhile, ChatGPT and Perplexity users searching for insurance recommendations see competitors mentioned (those who optimized for AEO/GEO) while this broker doesn't appear in AI-generated recommendations at all.

Lost annual value: Expected 2,400 monthly visitors × 3.2% conversion rate × £2,400 average customer value = £184,320 annual revenue. Actual: £52,224. Gap: £132,096 annually in unrealized revenue from traffic that never arrives despite strong rankings.

2. AI search platforms recommend competitors exclusively

The scenario: B2B SaaS company selling project management software has strong traditional SEO (first-page rankings for "agile project management software", "project tracking tools"). When potential customers ask ChatGPT or Perplexity "recommend project management software for 50-person development team," the company is never mentioned. Instead, AI consistently recommends 5 competitors — Asana, Monday.com, Jira, ClickUp, and Linear.

Investigation reveals: competitors have extensive, AI-friendly content (detailed feature comparisons, use case documentation, transparent pricing), structured data markup (JSON-LD for software products), strong brand signals (press mentions, customer testimonials, third-party reviews), and technical documentation indexed by AI crawlers (OpenAI GPTBot, Google-Extended, Anthropic Claude-Web).

The cost: The company's product is objectively competitive but effectively invisible in AI search. Of 2,800 monthly B2B software searches happening through AI platforms, they capture zero visibility. Meanwhile, ChatGPT drives estimated 18% of competitor Monday.com's demo requests (per industry analysis). Lost opportunity: approximately 42-60 monthly qualified leads (2,800 × 0.18 × 1.2% conversion to demo) = £378,000-£540,000 annual pipeline gap at £9,000 average deal size.

3. Voice search and AI assistants misunderstand queries

The scenario: Boutique hotel in Edinburgh has excellent traditional SEO for "luxury hotels Edinburgh", "5-star accommodation Edinburgh Old Town". However, when users ask voice assistants "find me a luxury boutique hotel near Edinburgh Castle with spa," the hotel never appears in Alexa, Siri, or Google Assistant recommendations despite being 400 meters from the castle with a highly-rated spa.

The issue: Voice search and AI assistants require structured data, conversational content, and entity relationships that traditional SEO doesn't address. The hotel's website lacks: schema markup for Hotel, LocalBusiness, and amenities, FAQ content matching conversational queries, entity signals connecting "Edinburgh Castle" + "spa" + "boutique" + "luxury", and optimization for natural language questions vs keyword-stuffed pages.

The cost: Voice and AI assistant searches represent 32% of travel research queries in 2026. The hotel is invisible to approximately 1,200 monthly voice searches in their market. Estimated lost bookings: 38 monthly (1,200 × 3.2% voice search conversion rate), average booking value £420 × 2.3 night stay = £37,296 monthly, £447,552 annually in unrealized revenue from voice/AI search invisibility.

4. Generative AI positions competitors as thought leaders

The scenario: Management consulting firm specializes in digital transformation for manufacturing companies. When executives ask ChatGPT or Claude "who are the leading digital transformation consultants for UK manufacturing," the firm is never mentioned. Instead, AI systems consistently name 6-8 competitors and provide detailed descriptions of their expertise, methodologies, and case study results.

Analysis reveals: Competitors appear in AI responses because they have: extensive thought leadership content (white papers, research reports, detailed case studies), structured expert profiles (team pages with credentials and specializations), semantic authority signals (speaking engagements, published articles, industry recognition), and content optimized for entity extraction (clear methodology frameworks, named approaches).

The cost: The firm's brand is absent from approximately 840 monthly AI-generated consultant recommendations in their market segment. Competitors mentioned in ChatGPT responses experience 3.2x higher website traffic and 2.8x more inbound inquiries (industry benchmark data). Lost pipeline: estimated 15-22 monthly qualified opportunities (£380,000-£560,000 annual value at £25,000 average engagement).

5. Mobile AI Overviews replace traditional organic results

The scenario: E-commerce company selling outdoor equipment ranks #1-3 for numerous transactional keywords ("buy hiking boots UK", "best camping tents 2026", "waterproof jackets sale"). Mobile traffic (74% of their audience) has declined 42% year-over-year despite maintaining rankings.

The issue: Google's AI Overviews (formerly SGE - Search Generative Experience) now appear on 76% of their target keywords, especially on mobile. AI Overviews provide product recommendations, comparisons, and buying advice directly in results — often with shopping carousel links to Amazon, competitor sites, and aggregators. The company's organic #1-3 rankings are pushed to "below fold" (requiring 2-3 scrolls to reach), and AI Overview recommendations predominantly feature competitors and marketplaces.

The cost: Organic traffic decline: 18,400 monthly visitors → 10,672 monthly visitors (7,728 visitor loss). Revenue impact: £412,896 annual revenue lost (7,728 monthly × 2.8% conversion rate × £63 average order value × 12 months). Meanwhile, competitor visibility in Google AI Overview recommendations drives their traffic growth. Traditional SEO investment of £42,000 maintains rankings but doesn't address AI Overview optimization — meaning investment produces diminishing returns.

Core SEO, AEO & GEO services

1. Traditional SEO optimization (search engine visibility)

Comprehensive technical and content optimization for Google, Bing, and traditional search engines including technical SEO (site speed, mobile optimization, crawlability, indexation), on-page optimization (title tags, meta descriptions, header structure, keyword optimization), content strategy (keyword research, content gap analysis, topic clustering), link building and authority development, local SEO (Google Business Profile, citations, local rankings), and analytics and conversion tracking.

SEO deliverables: Technical audit and remediation, keyword strategy and content plan, on-page optimization implementation, content creation (blog posts, guides, landing pages), backlink acquisition strategy, local SEO optimization (if applicable), monthly performance reporting (rankings, traffic, conversions).

Key metrics: Organic traffic growth, keyword rankings (top 3, top 10, top 20), domain authority improvement, conversion rate from organic traffic, and visibility score (percentage of keyword portfolio in top positions).

2. Answer Engine Optimization (AEO) for AI platforms

Optimizing content and structure to become the cited source in AI-generated answers across ChatGPT, Perplexity AI, Claude, Google AI Overviews, Bing Copilot, and other AI search platforms. Focus: being mentioned, cited, and recommended when AI systems answer user queries in your domain.

AEO strategies: Conversational content optimization (question-answer format, natural language), structured data implementation (Schema.org markup for entities, products, FAQs, reviews), AI crawler optimization (robots.txt configuration for OpenAI GPTBot, Google-Extended, Anthropic Claude-Web), authority signals (expert authorship, credentials, industry recognition), entity relationship mapping (connecting your brand to relevant entities and concepts), semantic keyword clustering (topic modeling vs keyword matching), and FAQ content development (directly answering user questions AI systems are likely to encounter).

AEO deliverables: AI-optimized content strategy, structured data implementation, conversational content creation, entity profile development, AI crawler configuration, authority building strategy, and AI visibility monitoring (tracking mentions in ChatGPT, Perplexity, Claude responses).

Key metrics: AI citation frequency (mentions in ChatGPT/Perplexity/Claude results), branded mentions in AI-generated content, position in AI-generated lists and recommendations, and traffic from AI platforms (referral tracking).

3. Generative Engine Optimization (GEO) for comprehensive AI synthesis

Advanced optimization for generative AI models that create multi-paragraph responses, comparisons, and recommendations. Goes beyond simple Q&A to influence how AI systems position your brand in detailed synthesized content, thought leadership, and solution recommendations.

GEO strategies: Perspective and viewpoint content (providing unique frameworks, methodologies, approaches that AI systems can reference), comparative positioning (how your solution compares/contrasts with alternatives in ways AI systems understand), use case and scenario documentation (detailed examples AI systems can adapt to user contexts), methodology and framework content (named approaches AI systems can explain and recommend), statistical and data-driven content (providing metrics, benchmarks, research AI systems can cite), expert and thought leadership signals (credentials, speaking, publications that establish authority), and multi-layered content depth (surface-level + intermediate + expert content allowing AI to provide depth).

GEO deliverables: Thought leadership content strategy, framework and methodology documentation, comparative positioning content, use case library development, expert profile enhancement, statistical and benchmark content, content depth architecture (beginner, intermediate, expert layers).

Key metrics: Brand positioning in AI-generated recommendations, frequency of methodology/framework citations, prominence in AI comparison content, and inclusion in AI-generated "best of" or "top" lists.

4. AI crawler management and content accessibility

Ensuring AI systems can discover, access, and understand your content including AI crawler configuration (managing OpenAI GPTBot, Google-Extended, Anthropic Claude-Web, Meta AI, others), robots.txt optimization for AI bots, sitemap enhancement for AI discoverability, content freshness signals (regular updates, timestamps, change frequency), and canonical URL management (ensuring AI systems index preferred versions).

Technical implementation: robots.txt rules for selective AI bot access (allow valuable content, block sensitive pages), XML sitemap optimization with priority and change frequency signals, structured crawl paths for AI bot efficiency, content update timestamps and modification signals, duplicate content resolution (ensuring AI systems don't see redundant information), and page speed optimization (AI bots favor fast-loading, accessible content).

Crawler deliverables: AI bot access audit and configuration, robots.txt optimization, enhanced XML sitemaps, content freshness strategy, crawl efficiency improvements, and monitoring dashboard for AI bot activity.

5. AI search performance monitoring and optimization

Tracking visibility across traditional and AI search platforms including AI citation monitoring (ChatGPT, Perplexity, Claude, Google AI Overviews), branded query tracking in AI systems, competitor visibility analysis in AI results, traditional SEO metrics (rankings, traffic, conversions), zero-click search impact analysis, and cross-platform performance dashboards.

Monitoring infrastructure: AI result tracking tools (monitoring brand mentions in AI platform responses), query simulations (testing common user questions across platforms), competitor benchmarking (tracking who appears in AI results for your target topics), traffic attribution (identifying AI referral sources), and sentiment analysis in AI-generated content (how your brand is positioned/described).

Reporting deliverables: Monthly AI visibility report (citations, mentions, positioning across platforms), traditional SEO performance report (rankings, traffic, conversions), competitive analysis (share of voice in traditional + AI search), traffic source analysis (traditional search vs AI platforms), and optimization priority recommendations based on performance data.

Our integrated SEO, AEO & GEO approach

Phase 1: Comprehensive search visibility audit (Week 1-2)

We assess current visibility across traditional search engines and AI platforms including traditional SEO audit (technical, on-page, off-page factors), keyword and topic visibility analysis, AI platform citation audit (testing 40-60 relevant queries across ChatGPT, Perplexity, Claude, Gemini), competitor benchmarking (traditional SEO + AI visibility), content gap analysis (what content exists, what's missing for AI optimization), and technical accessibility for AI crawlers.

Audit deliverables: Current state assessment (SEO health score, AI visibility baseline), competitive positioning analysis (traditional search + AI platforms), content gap matrix (existing content vs optimization opportunities), technical issues list (prioritized by impact), and opportunity analysis (quick wins vs long-term strategic initiatives).

Phase 2: Strategy development and prioritization (Week 2-3)

Based on audit findings, we develop integrated optimization strategy including keyword and topic strategy (traditional SEO + conversational AI queries), content roadmap (new content, optimized content, content formats), technical optimization plan (site improvements, structured data, AI crawler configuration), authority building approach (link acquisition, entity development, expert positioning), and measurement framework (KPIs, tracking implementation, reporting cadence).

Strategy deliverables: Integrated SEO/AEO/GEO strategy document, prioritized content calendar (6-12 months), technical implementation roadmap, authority building plan, competitive differentiation strategy, and success metrics and targets (traffic, rankings, AI citations).

Phase 3: Implementation and content development (Month 1-6)

We execute the optimization strategy including technical SEO remediation (site speed, mobile optimization, crawlability fixes), structured data implementation (Schema.org markup across site), content creation and optimization (blog posts, guides, FAQs, landing pages optimized for SEO and AI), AI crawler configuration (robots.txt, sitemaps), link building and authority development, and local SEO optimization (if applicable).

Implementation deliverables: Technical optimizations completed and validated, structured data markup deployed across site, content publication schedule (typically 4-8 pieces monthly), backlink acquisition (quality links from authoritative sources), AI visibility improvements (documented citation increases), and monthly progress reporting.

Phase 4: Monitoring, optimization, and scaling (Month 6+)

Continuous monitoring and iterative improvement including performance tracking across all channels (traditional SEO + AI platforms), content performance analysis (what works, what doesn't), competitive monitoring (tracking competitor movements), algorithm update response (adapting to Google updates and AI platform changes), content refresh and updates (maintaining freshness and relevance), and strategic adjustments based on performance data.

Ongoing activities: Monthly performance reporting, content creation (ongoing publication schedule), technical monitoring and maintenance, link building continuation, AI visibility tracking and optimization, quarterly strategy reviews, and annual comprehensive audits.

Case studies: Integrated search optimization success

Case study 1: SaaS company captures AI search visibility, adds £480k pipeline

Client: HR software platform (applicant tracking system), £4.2M ARR, 180 customers

Challenge: Strong traditional SEO (ranking #1-5 for "applicant tracking software UK", "ATS for recruitment agencies", "hiring software") but stagnant traffic growth (plateaued at 3,200 monthly organic visitors). Invisible in AI search: tested 40 relevant queries across ChatGPT, Perplexity, and Claude — company mentioned zero times. Competitors consistently recommended instead.

Solution: Implemented comprehensive SEO/AEO/GEO strategy over 9 months including:

Traditional SEO maintenance: Continued optimization for existing rankings, expanded into 35 new long-tail keywords (lower competition, higher intent).

AEO implementation: Created 48 conversational FAQ pages answering common questions ("how much does applicant tracking software cost", "what features should ATS have", "best ATS for small business"), implemented comprehensive Schema.org markup (SoftwareApplication, FAQPage, Review, HowTo), configured AI crawler access (allowed GPTBot, Claude-Web, Google-Extended), developed expert author profiles with credentials, and optimized for entity relationships (connecting brand to "recruitment software", "HR technology", "talent acquisition").

GEO development: Published detailed methodology content ("Complete Guide to Applicant Tracking: The 5-Stage Recruitment Optimization Framework"), created comprehensive comparison content (transparent feature comparison vs 8 competitors), developed 12 detailed use case studies (agency recruitment, corporate HR, startup hiring), published benchmark data ("2026 Recruitment Metrics Report" with industry statistics AI systems could cite), and established thought leadership (contributed articles to HR publications, speaking at conferences).

Results after 9 months:

Traditional SEO: Organic traffic increased 28% (3,200 → 4,096 monthly visitors), expanded keyword rankings (+35 new keywords in top 10), improved conversion rate 2.4% → 3.1% (better-qualified traffic from conversational content).

AI search visibility: Branded mentions in AI results: 0 → 127 monthly (tracked across ChatGPT, Perplexity, Claude), positioned in AI-generated "top ATS" recommendations 64% of the time when competitors also mentioned, methodology framework cited in 23 AI-generated responses, and traffic from AI platforms: 0 → 680 monthly visitors (tracking Perplexity referrals, ChatGPT browsing referrals).

Business impact: Total organic + AI traffic: 3,200 → 4,776 monthly (+49%), demo requests from organic/AI channels: 77 → 148 monthly (+92%), qualified opportunities attributed to SEO/AEO/GEO: £2.8M annual pipeline (148 demos × 32% → opportunity × £60k ACV), closed revenue attributed: £480,000 in new ARR in 12-month period, and customer acquisition cost (CAC) for organic/AI channel: £3,240 vs £8,600 for paid channels (62% lower).

ROI: SEO/AEO/GEO program cost: £78,000 over 9 months (strategy, content, technical implementation, ongoing optimization). Pipeline generated: £2.8M. Revenue closed: £480,000 new ARR. ROI: 515% based on closed revenue in first 12 months, 3,487% based on pipeline generated.

Timeline: 2-week audit and strategy, 6-month intensive implementation (content creation, technical optimization), month 6+ ongoing optimization and scaling, measurable AI visibility improvements visible from month 3 onwards.

Case study 2: Professional services firm captures voice search, 210% mobile traffic growth

Client: Legal practice (family law, divorce, child custody), 8 solicitors, Birmingham

Challenge: Traditional SEO was strong for desktop searches ("divorce solicitor Birmingham", "family law Birmingham") but mobile traffic was declining despite 78% of legal searches happening on mobile. Voice search and AI assistant searches completely missed — when potential clients asked Siri/Google Assistant "find divorce lawyer near me who speaks to children separately" or Alexa "family law solicitor child custody Birmingham", the firm never appeared in results despite being highly qualified. Local competitors with worse traditional SEO rankings were capturing mobile/voice queries.

Solution: Mobile-first SEO/AEO strategy focused on conversational search and local AI visibility:

Voice and mobile optimization: Site speed optimization (mobile load time 4.2s → 1.1s), mobile UX improvements (click-to-call prominent, simplified navigation), conversational content creation (54 FAQ pages answering questions exactly as asked verbally: "how much does divorce cost", "how long does child custody case take", "can I get legal aid for divorce"), location-specific conversational pages ("divorce solicitor near Birmingham city centre", "family lawyer Erdington", "child custody solicitor Harborne").

Local SEO and entity optimization: Google Business Profile optimization (comprehensive service descriptions, Q&A section, regular posts), local citations and directory optimization (consistent NAP across 45+ directories), review acquisition strategy (27 new Google reviews with detailed, keyword-rich content), Schema markup (LegalService, LocalBusiness, Attorney, FAQPage with location data), entity connections (linking solicitor names to "Birmingham family law", "divorce specialist", "child custody expert").

AI assistant optimization: Smart speaker-friendly content structure (featured snippet optimization for voice results), natural language query targeting ("questions family law solicitor should ask", "what happens in first divorce meeting"), proximity signals for location-based voice searches, structured data for practice areas, locations, and credentials, and FAQ schema markup enabling direct answers in voice results.

Results after 8 months:

Mobile traffic transformation: Mobile organic traffic: 1,840 monthly → 5,704 monthly (+210% increase), mobile conversion rate improved: 1.8% → 3.4% (faster site, clearer CTAs), voice search traffic identified: 890 monthly visitors (tracked via query analysis and referral patterns), Google Assistant referrals: 12-18 monthly (trackable inquiries mentioning "Google told me to call you").

Traditional SEO maintenance: Desktop organic traffic stable: 2,180 monthly (maintained rankings while focusing mobile), local pack visibility: appeared in top 3 for 18 target queries (vs 6 previously), Google Business Profile views: 1,400 monthly → 3,800 monthly.

Business impact: Total inquiries: 38 monthly → 96 monthly (+153%), phone calls from voice/mobile search: 24 monthly (trackable via call tracking showing mobile/assistant referrals), consultation bookings: 38 → 96 monthly inquiries × 42% consultation rate = 40 monthly consultations (vs 16 previously), case conversions: 40 consultations × 38% conversion = 15.2 monthly cases (vs 6 previously), revenue impact: 9.2 additional cases monthly × £8,400 average case value = £77,280 monthly, £927,360 annual additional revenue attributed to mobile/voice/AI optimization.

ROI: Program cost: £48,000 over 8 months (mobile optimization, content creation, local SEO, structured data implementation). Revenue increase: £927,360 annually. ROI: 1,832% in first year. Client acquisition cost for voice/mobile channel: £2,000 per case vs £4,600 for paid search (57% lower).

Timeline: 1-week audit, 3-week strategy and technical optimization, 5-month content development and local optimization, mobile traffic improvements visible from week 4, voice search attribution identifiable from month 3 onwards.

Technology stack and platforms

SEO tools & platforms

Technical SEO: Screaming Frog, Sitebulb, Google Search Console, Bing Webmaster Tools Keyword research: Ahrefs, SEMrush, Moz, Google Keyword Planner, AnswerThePublic Content optimization: Clearscope, Surfer SEO, Frase, MarketMuse Rank tracking: Ahrefs, SEMrush, AccuRanker, Advanced Web Ranking Analytics: Google Analytics 4, Google Tag Manager, Looker Studio Link building: Ahrefs, Majestic, Moz Link Explorer, BuzzStream

AI search monitoring & optimization

AI visibility tracking: Custom monitoring tools (query simulation across ChatGPT, Perplexity, Claude, Gemini) Structured data: Schema.org markup implementation, Google Rich Results Test, Schema Markup Validator Entity optimization: Google Knowledge Graph analysis, entity extraction tools, semantic analysis platforms AI crawler management: robots.txt configuration, log file analysis (tracking GPTBot, Claude-Web, Google-Extended activity)

Content & semantic analysis

Topic research: AlsoAsked, AnswerThePublic, BuzzSumo, Reddit/Quora analysis Semantic SEO: MarketMuse, Clearscope, Surfer SEO (entity and topic modeling) Natural language processing: Custom NLP tools for query intent analysis Content planning: Airtable/Notion (content calendars), ContentKing (content monitoring)

Local SEO (when applicable)

GMB management: Google Business Profile optimization, GeoRanker, BrightLocal Citations: Moz Local, BrightLocal, Yext Review management: ReviewTrackers, Podium, Trustpilot

Reporting & visualization

Dashboards: Google Looker Studio, Tableau, Power BI Custom reporting: Python/R scripts for AI visibility analysis, API integrations for multi-platform data

When you need SEO, AEO & GEO services

You need comprehensive search optimization if:

1. Traditional SEO plateauing — Rankings are strong but traffic growth has stalled or declined despite maintained positions
2. Invisible in AI search — Your brand never appears when target customers ask ChatGPT, Perplexity, or Claude for recommendations
3. Zero-click search impact — Strong rankings but low click-through rates due to AI Overviews, featured snippets, or Knowledge Panels answering queries without clicks
4. Voice search gap — Not appearing in Alexa, Siri, Google Assistant results despite relevant expertise
5. Competitor AI visibility — Competitors are mentioned in AI-generated results while you're not, despite comparable product/service quality
6. Mobile traffic decline — Mobile organic traffic declining while desktop remains stable, indicating AI Overview or mobile SERP feature displacement
7. New product/service launch — Launching and need visibility across all search channels (traditional + AI) from day one
8. Content exists but underperforms — Significant content investment but low visibility in traditional or AI search

Pricing and engagement models

SEO/AEO/GEO audit and strategy

£8,000 - £15,000 | 2-3 week engagement Comprehensive visibility audit across traditional search engines and AI platforms, competitive analysis (SEO + AI visibility), content gap identification, technical SEO assessment, AI crawler analysis, prioritized strategy roadmap with ROI estimates. Ideal for organizations wanting to understand current position before committing to ongoing optimization.

Ongoing SEO/AEO/GEO optimization (Small business)

£2,800 - £4,500 per month | Minimum 6-month commitment Monthly services: technical SEO maintenance, 2-4 optimized content pieces monthly (blog posts, guides, FAQ pages), structured data implementation and management, AI crawler optimization, local SEO (if applicable), monthly reporting (traditional SEO + AI visibility metrics). Typical scope: small business (5-15 key service areas), local or regional focus.

Ongoing SEO/AEO/GEO optimization (Mid-market)

£5,000 - £9,500 per month | Minimum 6-month commitment Monthly services: comprehensive technical SEO, 4-8 optimized content pieces monthly, advanced structured data and entity optimization, AI visibility strategy and monitoring, link building and authority development, conversion optimization, competitive intelligence, monthly reporting with strategic recommendations. Typical scope: mid-market company (15-40 target keywords/topics), national or international reach, competitive market.

Enterprise SEO/AEO/GEO program

£10,000 - £22,000+ per month | Annual commitment Monthly services: enterprise technical SEO (multiple domains/subdomains), 8-16+ content pieces monthly across multiple formats, advanced AI optimization (entity building, thought leadership, GEO), dedicated account team, custom AI visibility dashboards, executive reporting, quarterly strategy sessions, integration with broader marketing initiatives. Typical scope: large organization (40+ target topics), multiple product lines/service areas, highly competitive market, international presence.

Content sprint (AI-optimized content creation)

£12,000 - £28,000 | 6-8 week project Focused content development including 15-25 AI-optimized articles/guides, comprehensive FAQ content (40-60 questions), structured data implementation across all content, topic cluster architecture, internal linking optimization, and performance tracking setup. Ideal for organizations needing rapid content library development for AI visibility.

Local SEO + Voice/AI optimization

£2,200 - £4,200 per month | Minimum 6-month commitment Specialized for local businesses including Google Business Profile optimization, local citation building and management, review acquisition and management, voice search and AI assistant optimization, location-specific conversational content, local structured data markup, and monthly local visibility reporting. Typical scope: single or multi-location local business (legal, medical, professional services, retail, restaurants).

AI visibility rapid response

£15,000 - £35,000 | 4-6 week project Fast-track AI search optimization including priority AI crawler configuration, structured data implementation across core pages, 20-30 conversational FAQ pages optimized for AEO/GEO, entity profile development, AI visibility monitoring setup, and competitive AI positioning analysis. Ideal for companies needing urgent AI search presence (launching product, responding to competitive threat, capitalizing on trend/news cycle).

Technical SEO audit and remediation

£6,000 - £18,000 | 2-4 week project Focused technical optimization including comprehensive technical audit (crawlability, indexation, site speed, mobile, structured data), prioritized remediation roadmap, implementation of critical fixes, AI crawler optimization (robots.txt, sitemaps), technical monitoring setup. Ideal for sites with significant technical debt impacting both traditional SEO and AI crawler access.

All pricing based on UK delivery, experienced SEO/content specialists, and includes tools/software. Content creation typically 1,500-2,500 words per piece, optimized for both traditional SEO and AI visibility.

Why iCentric for SEO, AEO & GEO

Early AI search optimization expertise: We began optimizing for AI search platforms in early 2023, well before most agencies. We've tracked the evolution of ChatGPT, Perplexity, Claude, and Google AI Overviews since launch, understanding how these systems index, synthesize, and cite content. This early-mover advantage means we've learned through experimentation what actually works.

Technical and content integration: SEO isn't just content, and it isn't just technical. We integrate both — our team includes developers who understand structured data, site architecture, and AI crawler behavior, alongside content strategists who understand semantic search, entity relationships, and generative AI optimization. This combination is rare and critical for modern search visibility.

Measurement across platforms: We track visibility not just in Google Search Console, but across AI platforms. Custom monitoring tools test 40-100+ queries monthly across ChatGPT, Perplexity, Claude, and Gemini, tracking when and how your brand appears in AI-generated responses. You'll get visibility into both traditional SEO metrics and AI search performance.

Content quality over volume: We prioritize depth and AI-optimization over churning out generic blog posts. Each piece of content is designed to serve both traditional SEO (keywords, internal linking, on-page factors) and AI visibility (entity clarity, conversational structure, citable statistics, expert signals). Quality content that actually gets cited in AI results.

Industry experience: SEO/AEO/GEO for B2B SaaS (software, platforms), professional services (legal, accounting, consulting), e-commerce (product optimization, category pages), healthcare (HIPAA-compliant content, medical authority), finance (FCA compliance, E-A-T requirements), and local businesses (multi-location, voice search optimization).

Transparent reporting: Monthly reports covering traditional SEO metrics (rankings, traffic, conversions) and AI visibility metrics (citations in ChatGPT/Perplexity/Claude, branded mentions, positioning in AI-generated lists). You'll understand exactly what's working and what needs adjustment.

No long-term lock-in: While we recommend 6-12 month commitments for SEO maturity, we don't require multi-year contracts. Month-to-month terms after initial commitment period. If our work isn't delivering value, you can pause or discontinue.

Next steps: Search visibility assessment

Start with a complimentary search visibility assessment to understand your current position in traditional search engines and AI platforms, and identify quick-win opportunities.

Assessment includes:

• Traditional SEO health check (technical issues, ranking analysis)
• AI visibility baseline (testing 20 queries across ChatGPT, Perplexity, Claude)
• Competitive positioning (traditional SEO + AI visibility vs 3-5 competitors)
• Content gap analysis (optimization opportunities)
• Quick-win recommendations
• Proposed strategy and investment range

Get started: Contact us to schedule a search visibility assessment or request a detailed SEO/AEO/GEO proposal.