Search optimisation is now four jobs, not one. Classic SEO still matters — but a meaningful share of high-intent queries now happen inside AI assistants, generative search and answer engines that don't always send clicks. The work is to be cited, not just ranked. We run all four — SEO, AEO, GEO and AIO — as one programme under brand and policy guardrails, with senior strategists owning the editorial and entity decisions.
What each acronym actually means
Why this matters now
Search has fragmented. Search Engine Land has tracked 20-40% drops in organic clicks for informational queries across multiple verticals through 2024-2025 — the AI assistant intermediates the click. The traffic is still happening; it just doesn't always reach your site directly.
Three responses to this:
- Optimise for the surfaces where users now arrive — AI assistants, answer boxes, generative search results — by being the cited source in the synthesis.
- Reallocate content investment toward decision-stage and bottom-funnel pages (where AI search is less disintermediating) and away from informational top-of-funnel content (where it is).
- Strengthen brand and direct/branded search demand so the traffic AI search creates flows to your branded queries rather than to competitors.
Doing one without the others is incomplete. The programme runs all three.
How the work runs
Five repeating phases
The search-visibility programme
Continuous, not project-based. Visibility compounds as more content lands and more authority signals accumulate.
- Audit
Technical + content + entity baseline
Crawl, indexability, schema, page speed, internal linking, content gaps, entity recognition, citation patterns in AI assistants. Where are we now, where are competitors, what's the gap.
- Strategy
Topic clusters + entity model + content roadmap
Pillar topics, supporting clusters, citation-worthy original frameworks, named-author E-E-A-T plan. The architecture before the writing.
- Production
Content + structured data + on-page optimisation
Substantive long-form content under named authors. Schema.org structured data on every page. AEO-friendly answer blocks, FAQ schema, definition boxes. Technical optimisation in parallel with content.
- Distribution
Internal links, citation outreach, AI-surface visibility checks
Hub-and-spoke linking, deliberate distribution into communities and citation-worthy contexts, monitoring of AI assistant citation patterns.
- Measure
Rankings + impressions + AI citation tracking
Search Console for classic SEO. AI assistant brand-mention tracking for AIO. Snippet appearance for AEO. Generative result inclusion for GEO. Reported through the live dashboard.
What we publish vs what we don't
Content philosophy
What survives the 2026 algorithm enforcement
The March 2026 Google update on scaled content abuse made the right side of this table actively penalised. We've been operating on the left side from the beginning — see our AI marketing readiness playbook for the broader principle.
How performance is measured
Search programmes don't have a single ROAS number — they have leading indicators that compound into commercial outcome over a 6-18 month horizon. We track:
- Classic SEO: Search Console impressions + clicks + average position by topic cluster, organic share of total traffic, ranking trend on commercial-intent queries
- AEO: featured snippet appearance rate on target queries, voice assistant answer rate where measurable
- GEO: appearance rate in Google AI Overviews and Bing Copilot results, citation share within AI synthesis
- AIO: brand mention volume and sentiment in AI assistant responses (ChatGPT, Claude, Perplexity, Gemini), citation share when users ask category questions
- Commercial: organic-attributed pipeline, organic-attributed revenue, blended ROAS contribution from organic
The dashboard surfaces all of these in one view, updated continuously. Senior strategists review monthly to make the editorial and entity decisions the programme's trajectory needs.
What it costs
Search programmes are typically priced as a fixed monthly retainer rather than a percentage of media (since there's no media spend to scale against). Pricing varies by content velocity and the depth of technical work needed:
- Maintenance / consolidation programmes (existing content, optimisation focus): from £4,500/month
- Growth programmes (active content production at 2-4 pieces/week, technical work, entity building): £8,000-£18,000/month
- Brand-authority programmes (extensive original research, multi-author editorial team, citation outreach, AI-surface visibility work): £15,000-£35,000/month
Use the cost calculator below to compare against your current setup — or against the cost of paid search at the same monthly investment level.
Interactive · Cost Calculator
Compare your current marketing setup
The calculator shows total marketing operating cost — useful for framing search investment alongside paid acquisition, in-house team and tools.
Your current setup
Current annual cost (excluding media)
£180,000
People + agency + tools. Media spend is held constant on both sides.
AI-powered agency · annual cost (excluding media)
£85,202
Management fee on £20,000/month spend at 23.0% + your existing tools.
Difference
£94,798/year
£7,900/month freed up. Reinvested into media, that’s an extra 4.7 months of working spend each year.
Indicative only. Loaded cost per head includes salary, oncosts, software seats and overhead. Real proposals model your specific channel mix, attribution and margin targets via the discovery.
Where this service wins
- Businesses building 12-24 month brand authority — search compounds; the work done in month 3 pays out in month 18
- Sectors where considered-purchase decisions involve research (B2B services, SaaS, healthcare, financial services, professional services)
- Brands with substantive expertise to publish — original frameworks, proprietary data, named expert voices that AI assistants can cite
- Operations where direct/branded search already gets meaningful traffic (suggests there's brand demand to capture in AI assistant answers too)
Where it doesn't fit
- Businesses needing immediate quarter-over-quarter pipeline — search investment doesn't replace paid acquisition for short-cycle outcome
- Brands with no expertise to publish or no original perspective on their category — content velocity alone doesn't earn citations
- Operations unwilling to invest in named-author E-E-A-T (real bylines, real bios, verifiable identity) — anonymous content is structurally disadvantaged in 2026
Read deeper on this
- What is an AI-powered marketing agency? — the pillar definition that positions search inside the wider model.
- AI marketing readiness: the complete operational playbook — the foundations work that needs to be in place before search investment compounds.
- Why your CAC is climbing — and what to do about it — the AI search disintermediation force that makes this work essential.
FAQs
Common search visibility questions
What's the difference between SEO, AEO, GEO and AIO?
Is SEO dead now that AI search is here?
How long until we see results?
Do you do link building?
How do you measure AI assistant citations?
Will you write content under named authors with real credentials?
What's the role of structured data?
How do you handle technical SEO?
Can you work with our existing content team?
What's the relationship between this service and paid search?
Sources and further reading
- Search Engine Land — coverage of AI search — ongoing coverage of AI search impact and best practice.
- Google — Search Central documentation — Google's official guidance on technical SEO, structured data and content quality.
- McKinsey — The state of AI — research on AI's impact on consumer information-seeking behaviour.