GEO · LLM Citation · Prompt Share of Voice

Be the Source
AI Engines
Cite When
Your Customers
Are Asking

Generative Engine Optimisation (GEO) is the discipline of engineering your brand’s content, entity signals, and authority architecture so that AI-powered search engines — Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini — retrieve, trust, and cite your brand in generated answers. As AI absorbs the informational and commercial search queries that once drove organic traffic, GEO is no longer optional.

−36%
CTR loss for organic position 1 when not cited in Google AI Overviews
+68%
CTR uplift for any organic position when cited in AI-generated answers
5 engines
We optimise for Google AIO, ChatGPT, Perplexity, Claude & Gemini
The AI Search Transition

Traditional SEO optimised for ten blue links. GEO optimises for zero-click answers.

search

The SERP is no longer the primary answer surface

Google AI Overviews now appear for over 40% of search queries in the US, absorbing clicks that previously went to organic position 1–3. For informational and commercial queries — the queries that build brand trust and drive consideration — the AI answer box is now the first interaction point. If your brand isn’t the cited source, a competitor is.

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AI citation is not a ranking algorithm — it is a retrieval algorithm

LLMs select citation sources based on entity trust, semantic relevance, factual density, structural clarity, and crawl accessibility — not PageRank. A domain with DR 30 and excellent GEO architecture will be cited above a DR 80 domain with poor AI citability signals. This is the structural opportunity that early GEO adopters are exploiting right now.

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GEO and traditional SEO compound each other

The signals that make content AI-citation-eligible — topical depth, entity authority, E-E-A-T infrastructure, structured data, semantic co-occurrence — are the same signals that strengthen traditional organic rankings. A well-executed GEO programme improves SERP performance simultaneously. They are not in tension. They are the same investment.

Engine Coverage

We optimise for every AI answer surface your customers use

Each generative engine has a distinct retrieval architecture, citation preference pattern, and crawl behaviour. Effective GEO requires platform-specific optimisation, not a single generic content layer.

search
Google AI Overviews
Highest volume · YMYL-sensitive · E-E-A-T critical

Google AI Overviews (formerly SGE) appear for over 40% of US queries and are rapidly expanding globally. They absorb clicks for informational, commercial investigation, and how-to queries — the query types that historically built brand consideration and drove high-value organic traffic. AIO citation is governed by Google’s E-E-A-T quality raters framework, meaning YMYL compliance, author credentials, structured data, and topical authority are the primary citation levers.

AIO Citation Requirements
  • check_circleHigh E-E-A-T signal on page & domain
  • check_circleFAQPage & HowTo schema markup
  • check_circleAnswer-first paragraph structure
  • check_circlePrimary source citation links
  • check_circleAuthor credential markup
AIO Impact Data (2024)
Queries with AIO (US)>40%
CTR drop if not cited (P1)−36%
CTR gain if cited+41%
YMYL queries suppressed~65%
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ChatGPT & Bing AI

ChatGPT Browse and Bing Copilot use Bing’s web index as their retrieval layer. Citation eligibility is governed by Bing indexation, OGP metadata, factual density, and structured data richness. We configure your technical stack for Bing discovery and optimise content for OpenAI’s citation preference patterns including GPTBot crawler access.

GPTBot access optimised100%
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Perplexity AI

Perplexity uses its own real-time web crawler and citation model, with a strong preference for authoritative, well-structured, recently updated content from domains with strong brand entity recognition. We optimise for PerplexityBot crawler access, citation markup, and the entity authority signals that drive Perplexity source selection.

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Claude & Gemini

Anthropic’s Claude and Google’s Gemini use distinct retrieval architectures with overlapping citation preferences. Both systems strongly weight semantic accuracy, factual verifiability, entity relationship completeness, and content freshness. We configure ClaudeBot and GoogleBot-AI access and apply the semantic content patterns that both systems preferentially retrieve.

  • ClaudeBot crawler access
  • Gemini entity verification
  • Semantic accuracy audit
  • Knowledge Graph alignment
Avg. Citability Score by Engine
Google AIO87
Perplexity81
ChatGPT74
Gemini68

Scores for a fully optimised Semola Digita client domain. Baseline varies.

Service_07 · GEO Engineering

Our AI Visibility Optimisation Disciplines

GEO is not a single tactic. It is an eight-signal engineering programme applied across content, technical infrastructure, entity architecture, and crawl configuration simultaneously.

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Entity Authority & Knowledge Graph Optimisation

AI engines build their understanding of the world from structured knowledge. We establish and reinforce your brand’s entity presence in Google’s Knowledge Graph — ensuring your organisation, products, people, and services have the entity disambiguation, sameAs links, and co-occurrence patterns that make you a trusted, unambiguous source for AI retrieval models.

  • Organisation schema & entity markup
  • Knowledge Panel optimisation
  • sameAs & Wikidata alignment
  • Entity co-occurrence seeding
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Prompt Share of Voice

We measure your brand’s citation frequency across the query patterns most relevant to your category — what we call Prompt Share of Voice (PSoV). This metric tracks how often your brand appears as a cited source for the prompts your customers are likely asking AI engines. PSoV is the GEO equivalent of SERP share of voice, and the metric that makes your GEO investment measurable.

Your current PSoV baseline23%
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AI Crawler Access & robots.txt Configuration

Every AI engine uses a distinct crawler: GPTBot, ClaudeBot, Google-Extended, PerplexityBot, and Meta-ExternalAgent. We audit and configure your robots.txt, crawl rate limits, and sitemap prioritisation to ensure every AI engine has full, correct access to your highest-value content.

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /
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GEO Content Architecture & Citability Optimisation

We restructure your existing content for AI citation eligibility — applying answer-first paragraph architecture, factual density improvement, primary source citation embedding, dateModified freshness signals, and FAQPage schema to every target page. Each intervention is mapped to a specific engine’s citation preference model.

  • Answer-first paragraphs
  • Factual density scoring
  • FAQPage & HowTo schema
  • dateModified signalling
GEO Citation Signal Weight
Factual accuracy28%
Entity authority22%
Content structure19%
E-E-A-T signals17%
Freshness14%

Source: Semola Digita GEO Signal Research, 2025

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E-E-A-T for AI Citation Eligibility

Experience, Expertise, Authoritativeness, and Trustworthiness are the quality layer AI engines apply to source selection — especially for YMYL queries in healthcare, legal, and financial categories. We build the author credential schema, organisational entity markup, and editorial policy infrastructure that signals E-E-A-T to both Google’s quality raters and AI retrieval models.

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schema

Structured Data for AI Retrieval

Schema markup is machine-readable content — and the signal AI engines can parse without natural language interpretation. We deploy FAQPage, HowTo, Article, Speakable, and DefinedTerm schema to make your content explicitly answer-surface eligible, SERP feature-eligible, and voice assistant-ready simultaneously.

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Competitive GEO & Citation Gap Intelligence

We run systematic competitor citation audits — identifying which of your competitors are cited in AI-generated answers for your target queries, what structural and semantic signals they have that you lack, and exactly which content interventions would close the citation gap fastest.

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GEO Measurement & Reporting

What we measure. What we report. What improves.

GEO performance is not measured in rankings alone. We track the metrics that directly reflect your brand’s authority and visibility across AI answer surfaces — and report them alongside traditional organic performance in a single integrated dashboard.

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Prompt Share of Voice (PSoV)

Citation frequency across a monitored set of target prompts across Google AI Overviews, Perplexity, and ChatGPT — tracked monthly and benchmarked against direct competitors.

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AI Citability Score Per Page

A 0–100 composite score per URL evaluating answer-first structure, schema completeness, factual density, crawler access, E-E-A-T signals, and semantic co-occurrence vs. currently-cited competitor pages.

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Entity Knowledge Graph Presence

Tracking of your brand’s Knowledge Panel completeness, entity disambiguation accuracy, and sameAs coverage — the foundation of long-term AI citation authority.

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Traditional + AI Traffic Attribution

Integrated reporting showing organic session trends, CTR movement, and estimated AI-referred traffic across your target query set — in one report, on one timeline.

AI Search Impact by Query Type
% of queries in each category now triggering an AI Overview (US, 2025)
How-to & Instructional72%
Informational / Research64%
Comparison & Best-of51%
Commercial Investigation38%
Transactional / Purchase12%
Navigational / Brand8%

Source: BrightEdge AI Overviews Research, Q1 2025. US data.

Prompt Share of Voice — Sample Client (6 months)
M1
M2
M3
M4
M5
M6
PSoV: 7%PSoV: 61% ↑
3.4×
Avg. AI citation rate increase after full GEO programme
6 wks
Typical time to first measurable PSoV movement
How It Works

A five-stage GEO programme that compounds month-on-month

GEO authority is not earned from a single content intervention. It is compounded across entity architecture, content optimisation, technical configuration, and citation monitoring in a repeatable programme.

6 wks
To first measurable PSoV movement
6 mo
To compounding citation authority
Start with a baseline

An AI visibility audit establishes your current Prompt Share of Voice, AI citability scores per page, crawler access configuration, and entity authority baseline before any optimisation is applied.

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1

AI Visibility Baseline Audit

Measure current Prompt Share of Voice across target queries, AI citability score per URL, crawler access configuration audit, entity Knowledge Graph completeness, and competitor citation analysis. The baseline document for all subsequent measurement.

2

Entity Architecture & Crawler Configuration

Organisation and Person schema deployment, Knowledge Graph entity verification, sameAs alignment, and robots.txt configuration for all AI crawlers — GPTBot, ClaudeBot, Google-Extended, PerplexityBot. The structural foundation of GEO citability.

3

Content Citability Optimisation

Page-by-page GEO restructuring: answer-first paragraph rewriting, factual density improvement, primary source citation embedding, dateModified schema, FAQPage markup, and E-E-A-T author credential deployment on all target URLs.

4

New GEO-Native Content Production

Creation of new content specifically engineered for AI citation eligibility — targeting the high-citation-probability query patterns identified in the baseline audit where current content gaps prevent your brand from appearing in AI-generated answers.

5

Monthly PSoV Monitoring & Iteration

Monthly Prompt Share of Voice reporting across all monitored engines. New citation appearances tracked, competitor citation movement analysed, and the GEO content programme iterated based on what the citation data shows each month.

AI Visibility Expert Consultation

Your competitors are already being cited in AI answers. Are you?

Every month without a GEO programme is a month of AI citation authority compounding for your competitors. Start with an AI visibility audit to establish your Prompt Share of Voice baseline and the precise interventions that will move it fastest.

Common Questions

AI & GEO Visibility FAQ

The most common questions before commissioning a GEO visibility engagement.

Not sure where to start?

An AI visibility audit measures your current Prompt Share of Voice, citability score per page, and entity architecture completeness — establishing the baseline and identifying the highest-impact interventions before any work begins.

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Engines we optimise for
Google AI OverviewsChatGPT BrowsePerplexity AIClaudeGeminiBing Copilot
SEO optimises your content to rank in traditional search engine results pages (SERPs) — the ten blue links. GEO (Generative Engine Optimisation) optimises your content to be retrieved and cited by AI-powered answer engines like Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini. The two disciplines share a semantic and structural foundation, but GEO adds specific requirements around entity architecture, factual density, answer-first formatting, AI crawler access, and Prompt Share of Voice measurement that SEO alone does not address.
Yes — and this is increasingly the reality. Research from Semrush and BrightEdge shows that organic position 1 pages not cited in Google AI Overviews experience average CTR drops of 28–36% when an AI Overview appears for their target query. The AI answer absorbs the click before the user reaches the organic results. Ranking #1 while a competitor is cited in the AI Overview above it means your organic position 1 is functionally delivering position 4–5 traffic.
Prompt Share of Voice (PSoV) is the percentage of a monitored set of target prompts for which your brand is cited as a source in AI-generated answers. It is the GEO equivalent of SERP share of voice — a single metric that makes AI citation performance measurable, trackable, and comparable against competitors. PSoV is measured across all relevant AI engines (Google AIO, Perplexity, ChatGPT, Claude) for a defined set of brand-relevant query types, and tracked monthly as the primary GEO performance KPI.
AI engines model the world as a network of named entities — organisations, people, products, places, and concepts — and their relationships. A domain whose entity (brand, organisation, key people) is well-defined in the Knowledge Graph, correctly disambiguated, connected via sameAs to authoritative external references (Wikidata, Wikipedia, Crunchbase), and consistently referenced in topically relevant content is significantly more likely to be retrieved as a trustworthy citation source than a domain with an incomplete or ambiguous entity profile.
For most organisations seeking visibility, allowing AI crawlers is strongly recommended. Blocking GPTBot, ClaudeBot, or PerplexityBot prevents your content from being indexed by those AI systems — making citation impossible regardless of your content quality. The decision to block should be made deliberately, based on specific IP or content ownership concerns, not by default. We audit your current crawler access configuration as a standard component of every GEO engagement and advise on the appropriate configuration for your specific situation.
Initial PSoV movement is typically observable within 4–6 weeks of implementing the technical crawler configuration and structural content changes. AI crawl cycles are frequent for content that displays strong freshness and authority signals, meaning GEO improvements are often reflected in AI citation behaviour faster than equivalent traditional SEO changes appear in rankings. Sustained PSoV growth — where citation frequency compounds across multiple query types and engines — develops over 3–6 months as entity authority and content citability build together.