A Clear Guide to AI GEO Audits: Method, KPIs and Deliverables

An AI GEO audit (Generative Engine Optimisation) helps you measure and improve a brand's visibility within the generative answers produced by large language models (LLMs) and AI-powered answer engines. Where SEO primarily targets rankings and clicks, GEO introduces another unit of visibility: citability — being quoted, accurately summarised and recommended — often in a "zero-click" context. This B2B guide explains the scope, a repeatable methodology, "AI-friendly" criteria, expected deliverables, and how to connect visibility to business outcomes such as leads and ROI, drawing solely on published data and sources.

Auditing GEO Visibility Using AI: Definition, Scope and What It Means for Your Brand

What GEO, LLMs and Generative Answers Cover (Google AI Overviews, ChatGPT/SearchGPT, Perplexity, Bing Copilot, Google SGE)

GEO (Generative Engine Optimisation) refers to the set of practices used to improve a brand's presence within generated answers delivered by conversational systems and AI-augmented search experiences. In practical terms, the goal is not simply to "rank well", but to be understood, reused and, ideally, cited as a reliable source in interfaces such as Google AI Overviews, ChatGPT/SearchGPT, Perplexity, Bing Copilot and Google SGE.

In these environments, models may:

• synthesise multiple pages into a single answer;
• vary the output depending on context (persona, intent, level of expertise);
• cite sources (sometimes without a clickable link) and blend owned sites with media and community platforms.

In other words, an AI GEO audit is not limited to your website: it assesses your brand's footprint across the wider information ecosystem that models draw upon.

GEO Audit vs SEO Audit: What Changes for Citations, Sources and "Zero-Click"

An SEO audit focuses on the signals that influence rankings in search results (indexation, site structure, topical relevance, links, etc.) and on performance measurable through clicks. A GEO visibility audit adds specific dimensions:

• Primary metric: position/CTR (SEO) vs presence/mention/citation in the answer (GEO).
• Goal: earn a click on a blue link vs influence a synthesised answer (often without a click).
• Sources: SEO is centred on indexed pages; GEO also relies on third-party sources (media, institutional sites, community platforms).
• Variability: generative answers are dynamic, requiring repeatable measurement and more frequent monitoring.

This difference becomes critical as "zero-click" behaviour grows: some sources suggest 60% of searches end without a click and that, when an AI Overview appears, the CTR for the first position can drop to 2.6% (figures referenced in GEO-focused resources; see GEO statistics). At the same time, an SEO audit remains essential, notably because some analyses indicate that generative answers still draw heavily on pages already visible in the organic top 10 — a widely discussed hypothesis across GEO and SEO resources.

For SEO performance benchmarks (CTR, click distribution, etc.), you can also consult these SEO statistics.

Which Markets, Offers and Geographies to Analyse for B2B

In B2B, measurement must mirror commercial reality: offers, segments, regulatory constraints and geographies. Scoping an AI GEO audit means selecting "market × offer × region" combinations that reflect your actual sales cycle:

• Offers: core product, modules, bundles, professional services, integrations, security, compliance.
• Markets: verticals (industry, healthcare, retail, SaaS…), maturity, complexity.
• Geographies: the UK, Europe, or priority countries if you sell internationally.

The aim is to build a realistic scenario library (prospecting, comparisons, objections, proof points) and avoid "generic" measurement that says little about your ability to be cited on the commercially meaningful queries that generate real opportunities.

Why Run This Audit Now?

Changing Journeys: Conversational Search, Multiple Entry Points and Synthesised Answers

Buying journeys are fragmenting: a growing share of information discovery is moving into conversational assistants. Some market-facing sources suggest, for example, that ChatGPT handles 2.5 billion queries per day and that AI-driven search traffic is accelerating (figures cited in GEO summaries). These behaviours create additional entry points: your brand can become visible — or invisible — without ever passing through classic search results.

Another signal: multiple publications report mounting pressure on traditional search share and the rise of AI interfaces, reinforcing the case for an AI GEO audit to establish a clear baseline before gaps become entrenched.

Brand Safety: Incorrect Facts, Entity Confusion and Competitor Citations

Generative answers can:

• confuse entities (brand vs product, subsidiary vs group, namesakes);
• infer unsourced information (hallucinations);
• cite a competitor when your proof is absent or difficult to extract.

An AI GEO audit therefore also helps "secure" brand representation: validate what is being said, which sources support it, and how accurate it is. In B2B, where a single AI answer can shape a shortlist, this dimension is genuinely strategic.

Opportunities: Become a Cited Source and Capture Upper- and Mid-Funnel Intent

Generative answers capture many early and mid-funnel intents: "how to choose", "comparison", "best practices", "methodology", "budget", "risks". If your content becomes a set of reference pages — definitions, methods, proof, case studies — you increase the likelihood of being selected as a source. Some GEO summaries relay the finding that visitors arriving via AI answers may be 4.4 times more qualified than those from traditional search (a statistic referenced in market GEO resources). That justifies a structured, measurable and ongoing approach.

Objectives: Measure Visibility in AI Answers and Improve Factual Reliability

Measure Brand Visibility: Presence, Accuracy and Topic Coverage

An AI GEO audit starts by answering practical questions:

• Is the brand mentioned? Is it cited with a source?
• Are statements accurate (offer scope, pricing, compliance, integrations, guarantees)?
• Which topics and intents does your brand appear for — and where does it disappear?

This measurement goes beyond your own pages: it includes what models pick up from your wider footprint (press, forums, product listings, documentation, reviews, and so on).

Benchmark Competitors: Share of Voice, Cited Sources and Implicit Ranking

GEO benchmarking is typically expressed as share of voice across a representative prompt set: at equal frequency, who is mentioned most? Who is recommended? Where does the mention appear — at the opening or later in the answer? Which sources does the model favour?

Beyond the "who", the audit seeks the "why": cited formats, credibility signals, reference pages, proof and entity consistency.

Identify Blind Spots: Uncovered Intent, Missing Content and Weak Proof

A GEO blind spot is not merely "a missing keyword". It is often:

• an uncovered conversational intent (objection, comparison, compliance, security);
• a lack of extractable content (direct answers, lists, tables, definitions);
• insufficient or unverifiable proof (unsourced claims, missing methodology, no update date).

GEO resources also note that models can draw repeatedly from a relatively small set of recurring sources — which makes it essential to identify which pages truly drive your visibility.

Prioritise Actions: Quick Wins, Structural Work and Continuous Improvement

As with a traditional SEO audit, the goal is not to produce an endless checklist. A useful process converts findings into decisions: what to do, where, in what order, and how you will validate progress.

A simple prioritisation framework:

• Impact: expected effect on citability, accuracy, share of voice or conversion.
• Effort: editorial and technical dependencies, legal review, deployment.
• Risk: SEO regressions, messaging inconsistency, cannibalisation, regulatory constraints.

A Practical, Repeatable AI GEO Audit Methodology

Scoping: Business Objectives, ICP/Personas, Offers, Geographies and B2B Constraints

Reliable GEO measurement starts with business-first scoping:

• Goals: brand awareness, shortlist influence, lead generation, objection reduction.
• ICP and personas: decision-maker, end user, IT director, procurement, influencer — persona can materially change the answers a model produces.
• Offers: high-value pages (pricing, security, demos, use cases, documentation).
• Geographies: priority markets, language, local specifics (standards, institutional bodies).

Without defined personas, you risk measuring an "average" visibility that matches no real journey, at a time when AI answers are becoming increasingly contextual.

Semantic Mapping: Themes, Entities, Intent (Brand and Non-Brand) and Funnel Stages

GEO mapping organises the space of conversational demand:

• Themes (e.g., "audit", "performance management", "security", "ROI") and sub-themes.
• Entities (brand, products, categories, standards, sector acronyms, regions).
• Intent: informational, comparative, reputational, transactional, how-to.
• Funnel stages: discovery → evaluation → decision → reassurance.

The value is twofold: (1) build a representative prompt library; (2) link results to concrete editorial and off-site actions.

AI Testing Plan: Prompt Library, Scenario Variants and Anti-Bias Rules

A robust AI GEO audit relies on standardised, repeatable and documented tests. Practical experience tends to favour "natural conversation" scenarios over overly technical prompts, combined with variants to reduce phrasing bias.

Useful rules to reduce noise:

• use a stable format (context + objective + constraints);
• change one variable at a time (A/B);
• repeat across multiple sessions and multiple surfaces;
• record date, context, model and raw output for full traceability.

Prompt Examples: Brand vs Non-Brand, Comparison, "Best Tool", "How to Choose"

• Brand: "Can you summarise [brand]'s offer and cite your sources? Also highlight any limitations or points worth verifying."
• Non-brand: "What are best practices for measuring a company's visibility in generative AI answers in a B2B context? Cite sources."
• Comparison: "Which approaches exist to industrialise an AI-answer visibility audit, and how do you choose between a one-off exercise and continuous tracking? Cite sources."
• "Best tool" (without forcing an answer): "Which criteria should be used to evaluate a GEO/SEO performance management platform for a B2B marketing team? Provide a scoring framework and cite sources."
• "How to choose": "How do you define persona-based prompt scenarios — for decision-makers, IT directors and marketing teams — to audit a brand's citability?"

What you measure: brand presence, cited sources, factual accuracy, tone, prominence of mention, and consistency across surfaces.

Collection and Qualification: Citations, Sources, Tone, Accuracy, Completeness and Consistency

For each answer, the audit qualifies observable elements:

• Citations: does the answer cite pages? Are they clickable?
• Sources: owned site, media, institutional sites, communities.
• Accuracy: pricing, scope, capabilities, limitations, dates.
• Completeness: are critical B2B points covered — security, compliance, integrations, SLAs?
• Tone: positive, neutral or negative, justified by cited elements.

Worth noting: some GEO compilations suggest 72% of AI citations may not include a clickable link. This reinforces the need to treat visibility as influence — even without clicks — and to build citability through reference-grade sources.

Scoring and Normalisation: Sampling, Repeats, Variability Control and Traceability

The main challenge is variability: two sessions may produce different answers. To address this, use a structured protocol:

• Sampling: a prompt corpus spanning themes, personas and funnel stages.
• Repeats: multiple iterations to smooth out randomness.
• Scoring: a stable rubric (presence, mention prominence, citations, accuracy, tone, completeness).
• Traceability: store outputs and metadata (date, surface, version).

The intended outcome is an actionable baseline: you can then measure genuine change rather than relying on one-off impressions.

On-Site and Off-Site Signals: Content, Technical, Structured Data, Mentions and Backlinks

An AI GEO audit connects what AI answers say to likely causes:

• On-site: page structure, proof, dates, entity consistency, internal linking, cannibalisation.
• Technical: indexability, mobile performance, crawl accessibility.
• Structured data: Schema.org markup to clarify content type.
• Off-site: brand mentions, presence on authoritative and public platforms.

GEO resources consistently make one point: visibility is built across an ecosystem, not solely on your own site.

Criteria to Audit for Stronger GEO Visibility: Content, E-E-A-T, Semantics, Technical and Off-Site

Content: Clarity, Structure, Definitions, Comparisons, FAQ, Proof, Data and Updates

"AI-friendly" content often shares straightforward traits: direct answers, short sections, lists, tables, definitions and FAQs. GEO strategy resources frequently stress that structure can matter more than length: a concise but dense, well-structured piece may be cited more readily than a lengthy, disorganised article.

Actionable checkpoints:

• open each section with a standalone summary sentence;
• add stable definitions and a glossary for technical sectors;
• include verifiable proof (methodology, scope, limitations, dates);
• show explicit updates (date and version) to signal freshness.

E-E-A-T: Expertise, Experience, Author Pages, Sources, Methodology and Transparency

In B2B, E-E-A-T is a lever for citability: who is speaking, with what legitimacy, supported by which sources. The audit typically checks:

• complete author pages (role, experience, publications, speaking engagements);
• references and cited sources (links to documents, standards, studies);
• explicit methodology (how you measure, assumptions, limitations);
• transparency (editorial policy, conflicts of interest, update history).

Semantic Architecture: Clusters, Pillar Pages, Internal Linking and Cannibalisation

A cluster-based architecture clarifies your topical reasoning and makes it easier for AI systems to extract coherent fragments. Key control points:

• pillar pages that frame a topic and centralise sub-themes;
• specialised supporting pages connected through explicit internal linking;
• reduced cannibalisation (one intent = one reference page);
• reasonable depth for strategic pages to ensure fast access.

Structured Data: Schema.org and Consistent Brand Data

Schema.org markup helps make the nature of content explicit (Article, Organization, FAQPage, HowTo, Product/Service, Breadcrumb, and so on). In an AI GEO audit, key checks include:

• consistency between visible content and structured data;
• presence of useful schemas on citable pages (FAQPage, Article + Author, Organization);
• consistent brand information (name and entity identifiers; contact details where relevant).

Technical: Crawling, Indexability, Mobile Performance, Canonicals, Duplication and Hreflang Where Needed

Without a solid technical foundation, it is difficult to be reliably reused. The audit covers:

• crawl directives (robots.txt, noindex, sitemaps);
• HTTP statuses, redirects and redirect chains;
• canonicalisation and duplication handling;
• mobile performance (Core Web Vitals) and accessibility;
• hreflang if you target multiple countries or languages.

To help AI agents locate canonical, "citable" pages, some teams also add an llms.txt file at the root. It does not replace SEO standards, but can serve as a curation of priority sources (adoption varies and impact is not guaranteed), making it a sensible governance item to include in a GEO audit.

Off-Site: Authority Links, Brand Mentions, Reputation and External Information Consistency

GEO depends heavily on external sources. GEO resources note, for instance, that only a portion of citations may come from owned sites, with a meaningful share coming from community platforms and media. The audit checks:

• consistency of brand descriptions across external sources;
• quality mentions (not just links);
• reputation signals and the tone associated with the brand;
• citable assets: studies, benchmark reports, methodology pages and quantified case studies.

Competitor Benchmarking: Who Wins Visibility and Why

Which Sources AI Cites in Your Sector (Media, Institutional Sites, Comparison Sites, Expert Blogs, Wikipedia, etc.)

A GEO benchmark identifies the "dominant sources" cited in answers: specialist media, institutional bodies, knowledge bases, community sites and reference documents. The goal is not to copy, but to understand the standards of proof and format that AI tends to favour for your topic.

Which Formats Perform: Guides, Glossaries, Studies, Methodology Pages and Pricing Pages

Formats that frequently appear in generative answers tend to maximise extractability and verifiability:

• step-by-step practical guides;
• glossaries and canonical definitions;
• studies and benchmarks with clear methodology and dates;
• methodology pages (assumptions and limitations);
• pricing pages and B2B "security / trust" pages (where they exist), which help reduce misinterpretation.

Coverage Gaps: Topics Where Competitors Are Consistently Cited

You then map the gaps:

• topics where your brand never appears;
• intents where you are mentioned but without a source;
• themes where AI cites external sources because you lack a reference page;
• angles where competitors are recommended — and on which proof points.

Remediation and Brand Safety: Correct What AI Gets Wrong About Your Business

Diagnosing the Root Cause: Content, Entities, External Sources and Inconsistencies

When an answer contains an error, the audit looks for an observable cause:

• ambiguous, outdated or contradictory internal pages;
• no canonical reference page (multiple "equivalent" URLs);
• external sources describing the offer incorrectly;
• entity confusion (product name, acronym, similar brand name).

Prioritise structural fixes — canonical reference, proof, transparency — over cosmetic adjustments.

Create Citable Reference Pages: Definitions, Official Positions, Proof and FAQs

An effective approach is to create or strengthen dedicated "source" pages:

• one reference page per offer (scope, limitations, use cases);
• a methodology page (how you measure, with what assumptions);
• objection-led FAQs (security, compliance, integrations, ROI);
• proof: sourced figures, use cases, dates and versioning.

Strengthen External Signals: Mentions, Publications, PR/Authority and Assets (Study, Benchmark)

To increase the likelihood of being cited, an audit may recommend building external reference assets:

• expert contributions in sector media;
• participation as a source for journalists where relevant;
• original studies (scope, method, results) that can serve as reusable references;
• useful, non-promotional participation in the spaces where practitioners discuss topics — depending on your sector's norms.

Deliverables: Diagnosis, Prioritisation, GEO/SEO Editorial Plan and Roadmap

Citability Score and Opportunity Map by Theme and Intent

The core deliverable is a "theme × intent × persona × surface" map showing:

• brand presence or absence;
• citations and sources;
• accuracy and tone;
• priority opportunities where reasonable effort can yield meaningful gain.

Prioritised Backlog: Quick Wins (Structure, FAQ, Schema, Proof) vs Structural Work (Architecture, Production, Authority)

Common quick wins include adding a structured FAQ, clarifying a definition, strengthening an author page, fixing canonicals, and adding proof alongside dates. Structural work may include cluster redesign, pillar-page creation, scaled content production, and a mentions and authority programme.

GEO/SEO Editorial Plan: Topics, Angles, Entities to Strengthen, Templates and Calendar

The editorial plan converts mapping into production: topics, persona-led angles, entities to clarify, and templates (guide, glossary, comparison, methodology page, use case). For a deeper look at production logic and distribution, see GEO content strategy.

PR/Authority Recommendations: Publication Targets, Mentions and Pages to Make Citable

The authority deliverable lists relevant targets (media, institutional sites, sector communities) and identifies which internal pages must become reference-grade sources — methodology, proof, security, case studies.

Dashboard: Share of Voice, Citation Rate, Accuracy, Trackable Traffic, Conversions and ROI

The dashboard should bring together:

• GEO KPIs (share of voice, citation, sources, accuracy, tone);
• SEO KPIs (impressions, clicks, CTR);
• business KPIs (leads, conversions, assisted) where traffic is attributable.

Measurement and Ongoing Management: Tracking Visibility and Linking It to Leads and ROI

GEO KPIs: LLM Share of Voice, Citation Frequency, Brand/Non-Brand Presence and Cited Sources

Recommended KPIs:

• Share of voice (mention frequency vs competitors) across a stable corpus;
• Citation rate (presence of a source) and source types;
• Brand presence (explicit brand queries) vs non-brand (categories, needs);
• Mention prominence (early vs late in the answer) as a proxy for importance.

Quality KPIs: Accuracy, Completeness, Claim Consistency and Tone

Measuring GEO performance without quality risks creating "toxic visibility". Useful KPIs:

• Accuracy (factual error score);
• Completeness (coverage of B2B-critical points);
• Consistency (similar outputs across surfaces and scenarios);
• Tone (positive/neutral/negative) justified by cited sources.

Business KPIs: Attributable Leads, Assisted Conversions and Correlated Signals (Brand Queries, MQL)

"Zero-click" complicates attribution, but you can remain pragmatic:

• track detectable AI traffic and its conversions when links exist;
• measure assisted conversions across multi-channel journeys;
• watch correlated signals: uplift in brand queries, MQL growth, improved conversion rates on reassurance pages.

Recommended Cadence: Re-Audit Frequency, Scenario Re-Testing and Continuous Improvement

Because answers evolve, an AI GEO audit should be treated as an ongoing process. Common recommendations suggest quarterly tracking in fast-moving markets and six-monthly reviews in more stable sectors, with alerts on material changes in mentions, tone or cited sources. The key is to maintain a stable prompt corpus so you can compare results on a like-for-like basis.

Industrialising GEO/SEO Auditing and Ongoing Management with Incremys

Workflow: Analysis, Planning, Briefs, AI-Assisted Production and Performance Tracking

To move from a one-off audit to continuous improvement, you need an operational workflow: analyse citability and blind spots, convert findings into a backlog, produce actionable briefs, plan delivery, then monitor change over time. This is precisely the kind of end-to-end chain a SaaS platform can industrialise — without relying on manual analysis that is difficult to reproduce consistently.

Connecting Visibility and Performance: Google Search Console and Google Analytics Integration via API

Incremys is a B2B SaaS platform for GEO/SEO optimisation that brings together analysis, planning and AI-assisted production powered by a personalised AI model, alongside performance tracking and ROI calculation. It also integrates Google Search Console and Google Analytics (GA4) via API, so you can connect visibility signals (impressions, clicks, pages) with business outcomes (traffic, conversions, leads) within a single management layer. For the broader shift in approach, From SEO to GEO is a useful companion read.

FAQ: GEO, AI, SEO, Visibility, Costs and Limitations

Definitions and Differences

What Is an AI GEO Audit?

It is a structured process for measuring a brand's presence and citability in generative answers (LLMs and AI answer engines) using a testing protocol (prompts/scenarios) and a combined analysis of on-site and off-site signals. The goal is to establish a baseline, identify blind spots and prioritise a clear action plan.

Does a GEO Audit Replace an SEO Audit?

No. GEO complements SEO. A strong SEO foundation — indexation, performance, architecture, topical relevance — often helps your content be reused in generative answers, but it does not guarantee citations.

What Is the Difference Between a GEO Audit and a Traditional SEO Audit?

An SEO audit targets rankings and SERP performance (clicks, CTR). An AI GEO audit measures visibility within a synthesised answer: mention, citation, sources used, accuracy and tone — with higher variability and a need for repeatable testing.

What Is the Relationship Between Traditional SEO and GEO?

GEO extends SEO: it retains technical and semantic discipline, but adds the external ecosystem (public platforms, media) and the concept of citability within generative answers.

Does Strong Google Ranking Guarantee Visibility in AI Answers?

No. Good SEO improves your odds, but AI systems may synthesise third-party sources, vary outputs by persona, and cite external pages. Several GEO resources still point to a strong dependence on the organic top 10 in certain contexts — supporting a "strong SEO + GEO" approach rather than treating them as alternatives.

Engines, Prompts and Performance Criteria

Which AI Systems and Surfaces Should You Analyse (Google AI Overviews, ChatGPT/SearchGPT, Perplexity, Bing Copilot, Google SGE)?

Ideally, multiple surfaces: Google AI Overviews (and its evolution), ChatGPT/SearchGPT, Perplexity, Bing Copilot and Google SGE. Each behaves differently in terms of formatting, sourcing and citation behaviour; visibility on one does not automatically transfer to another.

What Types of Queries Trigger Generative Answers?

Often complex or synthesis-driven queries: comparisons, "how to choose", best practices, definitions, troubleshooting, multi-criteria questions. An AI GEO audit maps these intents and turns them into persona-led scenarios.

Do You Need a Separate GEO Audit for Each Generative Engine?

The methodology — prompts, scoring, on-site/off-site analysis — can be shared, but results should be segmented by surface because citation behaviour, sources and stability differ. In practice, teams build one prompt library and run multi-surface testing waves.

Which Criteria Improve Citability in AI Answers?

The most robust combination is: extractable content (definitions, lists, tables, FAQs), verifiable proof (sources, methodology, dates), E-E-A-T signals (authors, transparency), structured data, consistent entities, and high-quality external mentions.

How Should You Structure Content to Maximise Citations?

Start with direct answers, use descriptive headings, lists and tables, add a FAQ, cite your sources, and display an update date. Aim for one reference page per intent to reduce ambiguity and cannibalisation.

What Role Do External Sources Play in GEO Performance?

A major one: models use an ecosystem of sources beyond your own site. GEO resources suggest a meaningful share of citations comes from community platforms and media. That is why brand consistency, e-reputation and citable external assets — studies, expert contributions, mentions — matter so much.

Which Pages Typically Have the Highest GEO Potential?

In B2B: pillar pages, definition pages, methodology pages, objection FAQs, "security / trust" pages, pricing pages (where applicable), documentation, and quantified case studies. These are the pages AI systems can most easily cite to support a generated answer.

How Do You Fix Content That AI Misinterprets?

First identify the root cause — an ambiguous internal page, missing sources, poorly defined entities, or an incorrect external source. Then create or strengthen a canonical reference page, add proof and methodology, remove inconsistencies, and where necessary reinforce external mentions that carry the correct definition.

Measurement, Tracking and Data

How Do You Measure Brand Visibility in Generative Engines?

Build a representative prompt corpus (by persona and intent), collect answers across multiple surfaces, then score presence, citation, accuracy, tone and sources. Repeatability is the key: repeats, anti-bias rules and full traceability.

Which KPIs Should You Track to Manage Visibility?

Share of voice, citation rate, mention prominence, cited source types, accuracy/errors, completeness, tone, and — where possible — detectable AI traffic and its associated conversions (direct or assisted).

Which Tools and Data Should You Use to Track Visibility in AI Answers?

For measurable post-click performance, Google Analytics (GA4) and Google Search Console remain the essentials (impressions, clicks, queries, conversions). For "no-click" visibility, data comes from your prompt testing waves and their scoring. In GA4, some practitioners recommend grouping certain AI referrers via a custom channel group and using UTMs where possible to isolate detectable AI traffic.

How Can You Assess Brand Awareness Using GEO Signals?

Use proxies: mention frequency (share of voice), description quality (tone), messaging consistency, and brand-query trends in Search Console, triangulated with business indicators such as MQLs and demo requests. Triangulation matters because generative visibility is not always clickable.

Decision: Timelines, Cost, ROI and Guarantees

How Long Does an AI GEO Audit Take?

Field feedback consistently points to 2 to 4 weeks, depending on site size, number of personas, prompt volume, and the depth of benchmarking (technical, content and off-site).

How Much Does a Professional GEO Audit Cost?

Published ranges for an audit service are sometimes cited as "often between" €2,500 (ex VAT) and €5,000 (ex VAT), depending on site type and depth — with variations for brochure sites and SMEs, e-commerce or media sites, or combined SEO + GEO audits. Cost is driven primarily by scope: surfaces analysed, number of scenarios, off-site benchmarking, deliverables and monitoring level.

Can You Guarantee Appearing in ChatGPT/SearchGPT or Google AI Overviews?

No. GEO sources are clear on this: you can increase the likelihood of being understood and cited — through structure, proof and authority — but nobody can guarantee consistent inclusion, because answers vary by context, available sources and ongoing system changes.

How Do You Integrate GEO Work Into an Existing SEO Strategy?

Treat GEO as an extension: keep your SEO foundation (technical, architecture, pillar content), then add (1) citability measurement by scenario, (2) reference pages and proof to reduce ambiguity, (3) an authority and mentions plan, and (4) regular monitoring. The SEO ↔ GEO link is easier to manage when you combine Search Console (visibility) with GA4 (post-click outcomes), while measuring "no-click" visibility through prompt testing.

How Often Should You Re-Audit GEO Visibility?

A common cadence is to take a snapshot and re-test your key scenarios quarterly in fast-evolving markets, or every six months in more stable sectors. The most important point is to maintain a stable prompt corpus and gradually add new scenarios as your offer or market changes.