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Search visibility

SEO, AEO, GEO & AIO

Modern search optimisation across classic SEO, answer engines, generative search and AI assistants. The visibility work for the search world that exists in 2026, not 2018.

  • Earn featured snippets and AI citations through structured content
  • Build entity authority that compounds over time
  • Recover organic traffic lost to AI search disintermediation

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:

  1. Optimise for the surfaces where users now arrive — AI assistants, answer boxes, generative search results — by being the cited source in the synthesis.
  2. 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).
  3. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Dimension
What we ship
What we don't
Substance
1,500-3,000 word substantive pieces under named authors
Thin 400-word AI-generated keyword pages
Voice
Multiple named author voices with verifiable identity
Single anonymous byline at scale
Originality
Original frameworks, proprietary data, first-hand examples
Regurgitated content from existing sources
Velocity
2-4 articles/week sustained, varied structure
10+ articles/day uniform format
Entity work
Author bios, schema markup, citation building
No author identity, generic markup
Targeting
Topic clusters with hub-and-spoke architecture
Random keyword targets without topical authority

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.

Build your growth plan

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?

SEO is classic search engine optimisation — ranking in Google and Bing search results. AEO targets answer engines — featured snippets, knowledge panels, voice assistants. GEO is generative engine optimisation — being a cited source in Google AI Overviews and Bing Copilot. AIO is AI assistant optimisation — being mentioned and cited in ChatGPT, Claude, Perplexity, Gemini responses. They overlap technically but require different content and entity work.

Is SEO dead now that AI search is here?

No, but it's narrower. Classic search still drives meaningful traffic on commercial-intent and decision-stage queries. AI search has eaten the informational top-of-funnel — historical 'how does X work' content drives much less click traffic than it did. The work shifts toward citation-worthy content the AI assistants ingest, plus stronger investment in branded and direct demand.

How long until we see results?

Technical fixes (schema, page speed, indexability) show in Search Console within weeks. Content investment compounds over 6-12 months — substantial commercial trajectory shifts typically appear at month 6-9. AI assistant citation patterns shift faster than classic SEO rankings (weeks to a few months) because the retrieval layer can re-index more rapidly than Google's ranking algorithm.

Do you do link building?

Outreach for genuine citations, yes. Link buying or PBN-style schemes, no. The brand-damage risk of getting caught is much higher than the upside. We focus on earning citations through original research, proof assets and substantive content that's genuinely link-worthy.

How do you measure AI assistant citations?

Brand-mention monitoring across the major AI assistants — running representative category queries and tracking which sources get cited and named. Plus structured-data audits to ensure entity recognition is clean. Plus tracking of branded search demand (a leading indicator of AI assistant exposure).

Will you write content under named authors with real credentials?

Yes — this is non-optional for serious search work in 2026. We work with your in-house experts as named authors (with their consent), or pair with external named contributors who agree to byline. Anonymous AI-generated content at scale is structurally disadvantaged after the March 2026 algorithm update.

What's the role of structured data?

Foundational. Article, FAQ, Breadcrumb, Organization, Person and Service schema markup all improve the chance of being cited correctly across the four search surfaces. We treat schema as a deployment of every page, not an afterthought.

How do you handle technical SEO?

Crawlability, indexability, page speed, mobile experience, internal link architecture, schema markup, canonical handling, hreflang for multi-region, sitemap hygiene. The work runs alongside content production — both have to be right for the programme to compound.

Can you work with our existing content team?

Yes. The hybrid model is increasingly common — your in-house team owns voice, brand and topical expertise; we provide the technical work, the search strategy, the AI search optimisation and the editorial structure that makes content findable. Many of our most effective programmes pair an in-house editor with our search and entity work.

What's the relationship between this service and paid search?

Complementary. Paid search captures intent at the moment it's expressed — search visibility builds the brand and demand that flows back through paid as branded search and direct traffic. Most sophisticated programmes run both; the search programme makes the paid programme cheaper over time by reducing the cost of branded query CPCs and improving conversion rates on direct traffic.

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.

Next step

Put an AI-powered agency behind your marketing.

Run the Growth Planner for a tailored plan, or scope an end-to-end engagement with our team.