AI crawlers need permission, rendered pages, and structured data. Content behind logins, in PDFs only, or blocked at the firewall doesn't count.
AI delivers one answer, not ten links
Decision-makers now use ChatGPT, Claude and Perplexity to understand markets, compare vendors and build shortlists. If your company isn't in the answer, it isn't on the shortlist.
32%
fewer clicks on Google's top organic result since AI Overviews launched
(click-through rate down from 28% to 19%)
7.2%
of domains are quoted in both LLMs and AI Overviews
Most brands show up in only one AI ecosystem.
Half
of consumers already use AI-powered search,
with potential to affect $750 billion in revenue by 2028.
Traffic is moving, quietly and steadily, from websites to AI-generated summaries. Traditional SEO optimizes for search engine algorithms. GEO optimizes for AI systems to recognize your company as a credible, citable source. They are two different disciplines.
Sources. GrowthSRC Media, organic CTR study of 200,000 keywords (2025); Bain & Company, "Goodbye clicks, hello AI" (2025); Search Engine Land.
GEO builds on SEO, it doesn't replace it
Site speed, crawlability, and good content still matter. But AI systems choose sources on four things a keyword strategy doesn't cover.
Questions, not keywords
Buyers ask AI complete questions, with context and constraints. Content has to anticipate those conversations, not a short search phrase.
Where it shows: pages optimized for a single keyword.
Content worth citing
AI cites clear structure, specific data, and frameworks it can reference reliably. Headings work as standalone statements, and claims carry their source.
Where it shows: "Overview" headings and statistics with no source.
Access AI can use
Where it shows: a robots.txt or CDN rule that turns AI crawlers away.
Authority beyond your domain
AI weighs how consistently your expertise appears across the web: publications, forums, documentation, and customer stories.
Where it shows: a strong website, and a brand that's absent everywhere else.
The audit shows which of these gaps are yours.
Keyword rankings make you visible. AI citations make you influential.
Why more of the same won't get you cited
Three responses come up in almost every marketing team. Each one leaves the main gap open.
More SEO
Where it breaks
Keyword density and link building have limited impact on what AI systems recommend.
The fundamentals still count. But a top ranking no longer guarantees the click, and AI evaluates content on comprehensiveness, accuracy, and context rather than keyword match.
More content
Where it breaks
AI judges expertise by depth and connection, not by volume.
Isolated articles don't add up to authority. Worse, AI can use your expertise without naming you, so you educate the market without building brand equity.
Optimizing for one AI system
Where it breaks
Only 7.2% of domains are cited by both LLMs and AI Overviews.
ChatGPT, Claude, Perplexity, and Google's AI features draw on different sources in different ways. Visibility in one says little about the others.
What's on the table at the end
A clear picture of where you stand, which levers matter most, and a plan with owners and realistic timelines.
Before the audit
Ranked, not recommended
Good positions in Google, and no idea what AI systems say about you, or who they cite instead.
After the audit
A plan to be cited
Your starting point mapped, your highest-impact levers chosen, and a roadmap your team owns.
System check
A structured assessment of every GEO-relevant area of your digital presence. You'll know exactly where you stand today.
Potential analysis
The concrete levers that get your company named as a primary recommendation by AI systems. You'll know which levers deliver the greatest impact.
Action plan
A prioritized roadmap for your marketing and content team, with clear ownership and realistic timelines. Your team can start the day after the workshop.
Eight areas, one picture
Before your team invests a single day, we analyze your digital presence for GEO relevance.
How AI sees you
Representation
How ChatGPT, Claude, Perplexity, and Google's AI Overviews currently describe your company, and why.
Buyer questions
The conversational questions your buyers ask AI, drawn from your search data and from what sales and support hear every day.
Who gets cited instead
The sources AI systems cite when they discuss your topics, and what those sources do differently.
Content gaps
Questions in your field where AI answers are incomplete, outdated, or wrong. Each one is an opening for your expertise.
What AI can access and trust
Crawler access
Whether AI crawlers are allowed in through robots.txt, firewall, and CDN rules, and whether your server logs show them arriving.
Technical foundation
Rendered pages instead of content that only loads via JavaScript, fast responses, current sitemaps, and consistent canonical and language tags.
Structure and structured data
Schema markup that links organization, people, and articles. Topic clusters, standalone headings, and PDF-only content that needs an HTML version.
Authority and distribution
Author credentials, original research, and branded methodology. Your presence on the platforms, publications, and communities AI systems trust.
Is my website LLM-ready?
Download the "Beyond SEO: How GEO shapes the AI narrative" and go through the whitepaper's 100-point GEO/AEO checklist, 25 points per area 2-5.
Measure what AI sends you
Traffic from generative AI engines is a new, fast-growing channel. In consent-based analytics, AI-referral visitors consent at 53%, so nearly half of that traffic goes unrecorded. etracker measures it consent-free.
How many
Sessions arriving from AI referrals, measured every day.
Which pages
Where AI-referred visitors land, and which of your pages AI systems send buyers to.
What converts
Conversion rates for AI-referred traffic, judged against complete data instead of a consent sample.
AI-referral consent rate: 2026 Consent Benchmark Report, based on etracker's measurement dataset.
How the audit runs
A fixed package, shaped around your infrastructure, your team, and your pace.
Scope
A 3-day all-inclusive package: in-depth pre-analysis, live workshop session, and structured follow-up.
Your team's time
One intensive, interactive workshop day, preferably online.
Guidance
Full facilitation, moderation, and results presentation by an experienced senior consultant.
Result
System check, potential analysis, and a prioritized action plan with owners and timelines.
Pricing
Pricing depends on company size and scope. Get in touch and we'll provide a concrete proposal within 24 hours.
For teams whose buyers already ask AI first
B2B companies whose buyers research before they talk to sales, and increasingly ask AI first.
Marketing and digital leaders
You're responsible for pipeline from organic channels, and you've seen clicks fall while rankings hold.
Content and SEO teams
You know search inside out. You want to know which of your practices still count, and what to add.
Companies with complex B2B offerings
Long buying cycles and comparison-heavy decisions, the kind of questions buyers now take to ChatGPT, Gemini, and Perplexity.
Expertise spread across many properties
Website, help center, documentation, and portals, each telling AI a part of your story, not always in the same words.
How do AI systems describe your company today?
The analysis starts before your team invests a single day.
Questions worth asking before you book
Clear answers to what buyers, and the AI assistants they ask, want to know first.
Generative Engine Optimization (GEO) is a systematic approach to earning citations and recommendations from generative AI systems such as ChatGPT, Claude and Perplexity. SEO aims to drive traffic to your website. GEO aims to get your content cited and referenced inside AI-generated answers. Answer Engine Optimization (AEO) is broader still: it covers any system that gives direct answers, including voice assistants, chatbots and knowledge bases. Technical basics such as site speed, mobile responsiveness and crawlability matter for both.
Generative Engine Optimization (GEO) is a systematic approach to earning citations and recommendations from generative AI systems such as ChatGPT, Claude and Perplexity. SEO aims to drive traffic to your website. GEO aims to get your content cited and referenced inside AI-generated answers. Answer Engine Optimization (AEO) is broader still: it covers any system that gives direct answers, including voice assistants, chatbots and knowledge bases. Technical basics such as site speed, mobile responsiveness and crawlability matter for both.
Decision-makers use AI to understand markets, compare vendors and build shortlists, and AI gives one recommendation instead of a list of links. The click-through rate of Google's top organic result has fallen from 28% to 19% since AI Overviews launched, a 32% decline. McKinsey research shows half of consumers use AI-powered search today. The answer isn't to give up on SEO, but to add GEO to it.
Decision-makers use AI to understand markets, compare vendors and build shortlists, and AI gives one recommendation instead of a list of links. The click-through rate of Google's top organic result has fallen from 28% to 19% since AI Overviews launched, a 32% decline. McKinsey research shows half of consumers use AI-powered search today. The answer isn't to give up on SEO, but to add GEO to it.
First, an in-depth pre-analysis of your digital presence, before your team invests any time. It covers which content AI systems can read and cite, where structured data is missing, and how your company appears in AI responses. Second, one live workshop day, facilitated by a Senior Consultant, where your team prioritizes, makes decisions and develops an action plan. Third, a structured follow-up.
First, an in-depth pre-analysis of your digital presence, before your team invests any time. It covers which content AI systems can read and cite, where structured data is missing, and how your company appears in AI responses. Second, one live workshop day, facilitated by a Senior Consultant, where your team prioritizes, makes decisions and develops an action plan. Third, a structured follow-up.
For marketing and content teams at B2B companies whose buyers research vendors with AI. Your marketing and content team takes part in the workshop day, since the action plan is built for them to execute.
For marketing and content teams at B2B companies whose buyers research vendors with AI. Your marketing and content team takes part in the workshop day, since the action plan is built for them to execute.
Not necessarily. Many measures from the workshop can be implemented independently of your current system - for example, structured data, llms.txt, or content optimization. For companies looking to optimize their technical foundation for long-term AI visibility, we also outline which platform requirements play a role.
Not necessarily. Many measures from the workshop can be implemented independently of your current system - for example, structured data, llms.txt, or content optimization. For companies looking to optimize their technical foundation for long-term AI visibility, we also outline which platform requirements play a role.
It's worth considering, but it isn't decisive. llms.txt is a proposed standard that tells AI systems which content represents your expertise and how you'd like it cited. Adoption is still uncertain and nothing enforces it, but the effort is low. Crawler access, rendering, and structured data matter more.
It's worth considering, but it isn't decisive. llms.txt is a proposed standard that tells AI systems which content represents your expertise and how you'd like it cited. Adoption is still uncertain and nothing enforces it, but the effort is low. Crawler access, rendering, and structured data matter more.
AI systems work in two ways. Systems with real-time retrieval can discover and cite fresh, relevant content as soon as it meets their technical and quality requirements. Influence on what models learn from training data builds over a longer period. Selection is probabilistic, so no one can guarantee a specific recommendation.
AI systems work in two ways. Systems with real-time retrieval can discover and cite fresh, relevant content as soon as it meets their technical and quality requirements. Influence on what models learn from training data builds over a longer period. Selection is probabilistic, so no one can guarantee a specific recommendation.
Start with a conversation
Talk to an expert about how AI systems see your company today, and what the audit would focus on.
Bring us your market and your questions. We'll scope the audit with you.
What happens next
- A first conversation
You talk with an expert about your goals, your markets, and your digital properties. - The pre-analysis begins
We analyze your digital presence across all eight areas, with no time needed from your team. - Your workshop day
Your team and your senior consultant turn the findings into a prioritized plan.
