GEO visibility audit
Where you are cited today, for which questions, in which markets and against which named competitors - scored per AI model, so the baseline is specific rather than directional.
Service / Organic lead generation (GEO)
Be the answer, not the search result.
Generative Engine Optimisation: the work of becoming the vendor ChatGPT, Gemini, Copilot and Perplexity name when a B2B buyer asks them who to use. Owned visibility inside the answer layer, measured against pipeline rather than rankings.
The shortlist is now built before anyone visits your site.
Compare vendors for X. Best supplier of Y in Europe. A two-or-three name shortlist comes back in seconds. If you are not in it, the buyer never reaches the part of the funnel your marketing was built for.
The gap
Why this gap opens quietly.
01
The decline shows up as someone else's problem
Organic search first-touch falls while Direct and Unassigned climb, because discovery is happening somewhere the analytics cannot see. In one brand we track across two markets, Organic fell 10% and Direct 25% in the first market while Unassigned rose 185% in the second.
02
Last-click reporting understates it by roughly five times
Tracking returning customers, only around 21% of their sessions get credited back to the AI Assistant channel. The other 79% land in Referral or Unassigned - so for every session your dashboard attributes to AI, that customer generates roughly four more it credits elsewhere.
03
Positions set early and then hold
Once an assistant treats a brand as a reliable cited source for a given prompt, that position is slow and expensive for a competitor to take. The cost of waiting is not a flat delay, it is a compounding disadvantage.
What we build
01
02
03
04
05
Five workstreams, run against pipeline rather than rankings.
Citation audit
Which third-party sources - review sites, comparison platforms, forums, PR - are already driving your AI mentions, and exactly where the gaps against competitors sit.
Technical AI-readiness audit and fixes
Crawlability for AI bots, structured and schema markup, and machine-readable, current product data. The unglamorous layer that determines whether a model can quote you at all.
Content blueprint and optimisation
Restructuring priority pages so assistants can extract clean, quotable answers - shaped around the prompts your buyers actually use, not the keywords a rank tracker prefers.
Third-party citation building and community management
Hands-on placement and engagement across Reddit, Quora, LinkedIn, YouTube, industry forums and Facebook - the evidence assistants actually cite when they name a vendor.
What you receive
The artefacts, not just the activity.
Every engagement produces a documented baseline and a prioritised roadmap you own, whether or not the programme continues with us.
- AI visibility baselineWeek 1-2
- A per-model scorecard (0-100) covering visibility, sentiment, mention volume and cited pages, benchmarked against named competitors in each target market.
- Prompt shortlistWeek 1-2
- The specific buyer questions worth targeting, weighted by search volume and buying intent, with the current answer each model returns and who it names.
- Technical readiness reportWeek 2-4
- AI bot crawlability, schema coverage, structured data gaps and product-data freshness, itemised by severity with the fix specified rather than described.
- Citation gap mapWeek 2-4
- The third-party sources feeding your competitors' mentions that are not yet feeding yours, ranked by how often models draw from them.
- Content blueprintWeek 4-8
- Page-level restructuring specifications for the priority pages: what the assistant needs to be able to extract, and how the page must be shaped to allow it.
- Standing visibility reportMonthly
- Visibility, sentiment and commercial metrics tracked against the plan, including multi-touch AI attribution so credit is not lost to Direct or Unassigned.
The engagement
Audit, fix, build, then keep score.
We prioritise which models matter for your market before committing effort. Across our client base ChatGPT alone drives 77 to 90% of AI-referred traffic, so most programmes concentrate there first.
Audit
Baseline and shortlist
Visibility and sentiment baseline per LLM, plus the full citation and technical audit. The prompts worth winning are shortlisted and prioritised here, before any content is written.
Baseline scorecard and a ranked prompt list
Day 1-30
Technical fixes and priority rebuilds
Crawlability, schema and structured data are corrected, and the highest-impact pages are rebuilt so their answers are cleanly extractable.
Priority pages machine-readable and quotable
Day 31-60
Citation building
Placement and community management across the platforms that feed the models - the third-party evidence layer that determines whether you get named at all.
A measurably larger pool of citable sources
Day 61-90
Scale to the target prompts
Content and citations extend across the shortlisted prompts, working outward from the ones with the clearest buying intent.
Coverage across the priority prompt set
Ongoing
Track
Standing AI-visibility, sentiment and commercial reporting against the plan, with attribution mapped across the whole journey rather than last click.
Monthly report tied to leads, not rankings
Ongoing
Recalibrate
If results are not tracking to goal we reassess end to end - prompts, technical layer, citation sources - and adjust the roadmap rather than adding volume to a plan that is not working.
A revised roadmap, with the reasoning shown
Measurement
Visibility is the input. Leads are the measure.
GEO work only matters if it moves leads, conversions and revenue, so every engagement runs against both columns. Visibility on its own is a vanity number.
Visibility metrics
- AI Visibility Score (per LLM)
- A 0-100 score tracking how consistently you appear in relevant answers, held separately for each model.
- Sentiment score
- How positively or negatively assistants describe your brand when they do mention it.
- Mentions and cited pages
- How often you are named, and which of your pages the assistants are actually pulling answers from.
- Prompt coverage
- The share of your shortlisted target questions you appear in, prioritised by search volume and intent.
Commercial and journey metrics
- AI referral traffic
- Sessions and users arriving through the AI Assistant channel, which GA4 added as a default channel in 2026.
- Leads generated via AI sources
- Form completions and other key events attributed to AI-referred sessions.
- Lead quality
- Engagement rate, time on site and event depth for AI-referred sessions, benchmarked against every other channel.
- Multi-touch AI attribution
- Every session where an LLM touchpoint occurred at any stage, so credit is not lost to Direct or Unassigned.
- Funnel stage coverage
- Which stage - awareness, consideration or decision - AI already reaches for you, and which to prioritise next.
Reported results
Six live B2B engagements, baseline to latest report.
Each tracked from the start of the engagement to the most recent reporting month. Engagement windows vary between four and six months.
Automotive & OEM
Global automotive OEM (enterprise)
Dec 2025 - Feb 2026
Monthly AI audience
11.1M → 31.8M
+186%
AI mentions
2,600 → 9,200
+254%
Cited pages
~3,900 held steady
flat
Reach inside AI answers nearly tripled in eight weeks while cited pages held steady - the same content doing more work.
Manufacturing & heavy equipment
Construction equipment OEM (enterprise)
Dec 2025 - Feb 2026
AI Visibility Score
36 → 46
+28%
Monthly AI audience
2.4M → 12.2M
+404%
AI mentions
~3,000 → 6,700
+123%
Score, audience and mentions moved together - the clearest sign of a genuinely improving position rather than one metric spiking alone.
Education
Leading online education provider (Sweden)
Jan - Jun 2026
AI Visibility Score
34 → 44
+26%
Monthly AI audience
24.2K
+60%
Mentions / cited pages
65 / 86
—
From effectively invisible to a consistently cited source across ChatGPT, Gemini and AI Mode within six months.
Professional & staffing services
HR, staffing & recruitment group (Sweden)
Jan - Jun 2026
AI Visibility Score
32 → 42
+31%
Monthly AI audience
118.6K
highest
Mentions / cited pages
210 / 102
—
The highest-reach account in the portfolio: over 118K monthly readers now reached through AI citations alone.
Professional & staffing services
Staffing & recruitment SME (Sweden)
Dec 2025 - Mar 2026
AI Visibility Score
21 → 40
+90%
Monthly AI audience
1.7K → 211.5K
124x
AI mentions
6 → 182
30x
The fastest-moving account we have run: four months of work took this client from below the SME median to the top of it.
Technology (SaaS)
Compliance & safety SaaS platform (Sweden)
Dec 2025 - May 2026
Third-party citations
123 → 378
+207%
Cited pages
138 → 313
+127%
Citation-building and community management directly grew the pool of external sources models pull from when citing this brand.
B2B lead generation
AI Assistant channel, first three months
GA4, AI Assistant channel only
Sessions / engaged sessions
287 / 158
55.05%
Leads (key events)
18
9.41%
From zero sessions to a consistent, engaged source of form leads within three months. Average engagement time 46 seconds, at 6.19 events per session.
Portfolio benchmark across all B2B accounts we track: SME median 14/100, top quartile 21/100, best observed 40/100. Most B2B brands baseline close to invisible, which is both the size of the gap and the headroom that remains. All figures sourced from Google Analytics 4 and internal AI Visibility tracking across live client engagements, 2025-2026.
The standard
Where it bites hardest.
Long, research-heavy, multi-stakeholder buying cycles are exactly the queries a buyer now hands to an assistant instead of a search bar. These are the patterns we see repeat across the sectors we have run GEO programmes in.
- —Automotive and OEM - which supplier meets this spec, tolerance or certification. Sourcing shortlists are built inside a chat session before a single site visit.
- —Manufacturing and industrial - compare vendors for this equipment or process. Technical buyers cross-check specs with an assistant instead of downloading spec sheets.
- —Education - best platform or provider for this programme type. First touch moves from awareness to the comparison stage.
- —Technology, SaaS and IT - best tool for this use case, or X versus Y. A two-to-three vendor shortlist exists before a demo is requested.
- —Professional and staffing services - who are the leading providers in this niche. Buyers contact the recommended vendor directly, increasingly bypassing a formal RFP.
“Paid media buys you attention while the spend lasts. A citation the assistant trusts keeps answering the question after you stop paying.”
RevelligenceGEO principle
Questions we are asked
Before you commit.
They overlap and they are not the same. Traditional SEO optimises for a ranked list of links; GEO optimises for being extracted and named inside a generated answer, which depends heavily on third-party citations and machine-readable structure rather than on your own page position. The useful part is that the work compounds both ways - consistent citation across models is a trust signal that also strengthens branded and organic search.
Look for the signature in your own analytics: Organic Search first-touch declining while Direct and Unassigned climb. That pattern means discovery is happening somewhere your reporting cannot see. In 2026 GA4 added AI Assistant as a default channel, so recent data will show some of it directly - though last-click will still understate the real figure by roughly five times.
We prioritise by market rather than covering everything equally. Across our client base ChatGPT alone drives 77 to 90% of AI-referred traffic, so most programmes concentrate there first and extend to Gemini, Copilot and Perplexity as the baseline audit justifies it.
Technical fixes and priority content rebuilds run in the first 30 days, citation building through day 60, and prompt coverage scales through day 90. On one B2B lead-generation account the AI Assistant channel went from zero to a consistent source of form leads within three months. Visibility scores typically move inside the first quarter; the commercial line follows the visibility line, not the other way round.
No, and we would not advise it. Google Ads and Meta Ads still deliver fast, early traction and capture demand that exists today - we run both. GEO is a different kind of investment - it builds durable visibility and authority across every source a model draws from, and it keeps working when spend stops. The argument for moving now is that competition for these positions is still low and early positions tend to hold.
Ready when you are
The shift is already in your analytics.
Let us run the visibility audit and tell you where you actually stand - which prompts you appear in, which competitors own the ones you do not, and what it would take to change that.
Book a GEO visibility auditNo generic pitch. We will arrive prepared.