AI Search Baseline
A structured view of how your company appears across the defined buyer prompt cohort, AI surfaces, markets and languages.
AI Search Audit for B2B Companies
Understand how your company appears across AI-driven buyer discovery, where competitors are being surfaced instead, what is shaping that visibility and what your team should do next.
Request an AI Search AuditYou cannot optimize what you have not measured
AI Search strategies are often built on surprisingly little evidence. Someone checks a few prompts in ChatGPT. A competitor appears. A visibility tool produces a score.
Those observations can be useful signals. They are not a reliable baseline. AI-generated responses vary across platforms, prompts, buyer intents, markets, languages and repeated observations.
Lexogrine's AI Search Audit, sometimes referred to as an AI Visibility or GEO Audit, is a paid diagnostic engagement for B2B companies combining multi-platform measurement, competitive benchmarking, source analysis, technical assessment and a prioritized implementation roadmap.
The questions your AI Search Audit should answer
Are we visible?
Where does your company appear across relevant buyer journeys and where is it consistently absent?
Who appears instead?
Which competitors are being surfaced for the problems, categories and buying decisions you compete for?
How are we represented?
Are your company, products and capabilities described accurately and consistently?
Are we actually recommended?
Are you simply mentioned, presented as a viable option or actively recommended?
Which sources shape the answer?
Are AI systems relying on your website, competitors, editorial sources, review platforms, communities or other third parties?
What is technically limiting us?
Are crawlability, rendering, architecture, CMS structure, information availability or infrastructure creating avoidable constraints?
What should we change first?
Which findings have enough business relevance and supporting evidence to justify implementation?
What you receive
Analysis, supporting evidence and an operating roadmap your team can use.
Competitive Discovery Benchmark
Comparison against strategic competitors and companies repeatedly observed in the same discovery environment.
Brand Portrayal Assessment
Analysis of how accurately and consistently your company, products and capabilities are represented.
Citation & Source Intelligence
The recurring sources and source categories shaping relevant AI responses where observable.
Technical AI Search Assessment
Technical constraints affecting whether important information can be discovered, interpreted or represented correctly.
Opportunity & Gap Analysis
Buyer questions, information gaps, competitive opportunities and areas requiring further investigation.
Prioritized Implementation Roadmap
A structured plan showing what should change, why it matters, who can own it and how it should be prioritized.
Strategy Workshop
A working session with the client team to interpret findings, resolve dependencies and define sequencing.
Supporting Evidence
Material findings linked back to the observations and responses that support them.
Leave with a roadmap, not a score
Knowing how often your company appears is not enough.
What should we do about it?
Important findings are translated into an implementation roadmap. Each recommendation may include the observed problem, supporting evidence, business relevance, recommended action, implementation type, likely owner, priority and confidence or evidence level.
Critical
Problems materially affecting accessibility, correctness or high-value discovery.
High
Strong opportunities supported by meaningful evidence.
Medium
Useful improvements with lower immediate impact or urgency.
Experimental
Hypotheses worth testing but not presenting as established facts.
Build a controlled AI visibility baseline
The objective is not to maximize the number of prompts. It is to represent the questions that matter to real commercial discovery.
Approximate prompt scope
- Discovery prompts
- 100
- Portrayal prompts
- 30
- Informational research
- Comparison
- Recommendation
- Transactional evaluation
From category education and requirements definition through evaluation, comparison, shortlist creation and vendor selection.
Measure the right surfaces, markets and languages
The final surface set is selected according to the buyer journey, market, language and current platform availability.
ChatGPT Search
Google AI Overviews- Google AI Mode
Gemini
Anthropic Claude
Microsoft Copilot
Perplexity
Measurement can be segmented by market, language, product or service line, buyer persona, buying intent and competitive environment.
See who AI systems surface instead of you
A standard Audit typically includes 4–6 strategic competitors.
Tracked competitors
- Companies the client already identifies as competitors.
Observed competitors
- Companies that AI systems repeatedly introduce into the same buyer journey.
Compare presence, recommendation, buyer intent, source support, category coverage and selected AI surfaces.
The result is not simply a competitor list. It is a map of who is occupying discovery opportunities relevant to your business.
Measure more than mentions
These dimensions are reported separately rather than collapsed into one opaque visibility score.
Presence
Are you surfaced?
Prominence
How visible are you?
Portrayal
How are you described?
Persuasion
Are you merely mentioned or recommended?
Understand what is shaping the result
Sources
Owned and competitor websites, editorial publications, review/comparison platforms, directories, community content, documentation, partner ecosystems and institutional sources.
Where evidence is available, we use it. Where it is not, we do not invent it.
Technical foundations
HTTP accessibility, robots controls, indexability, canonicalization, redirects, sitemaps, internal discovery, rendering, content availability, CMS architecture, duplicate content, structured data correctness, WAF/CDN behavior and relevant AI crawler access.
We do not audit for imaginary “AI schema” or universal GEO hacks.
Brand portrayal
Category, products and services, use cases, capabilities, target customers, commercial claims, comparisons and important factual information.
Material findings are evaluated against verified reference information. Not every incorrect response is automatically labeled a hallucination.
Turn findings into causes you can act on
Some findings are strongly supported by evidence. Others are hypotheses that need testing. The Audit distinguishes between them.
- Technical constraints
- Information architecture
- Missing buyer information
- Source gaps
- Category clarity
- Content requirements
- Positioning
- Competitor advantages
- Experimental hypotheses
Turn the Audit into an operating plan with your team
The Audit includes a strategy workshop with the people responsible for turning findings into action.
Bring the right people
- Leadership
- Marketing
- SEO
- Content
- Engineering
Agree the operating plan
- Major findings and competitive patterns
- Technical constraints
- Implementation priorities
- Dependencies
- Ownership
- Sequencing
Designed to separate patterns from individual AI responses
One prompt is an anecdote. Repeated, controlled observations can reveal a pattern.
- Controlled prompt cohorts
- Repeated observations
- Platform-specific measurement
- Market/language segmentation
- Defined competitor sets
- Preserved supporting evidence
- Uncertainty-aware interpretation
- Human review for material findings
A decision-oriented AI Search Audit
AI Search Audit
Establish a decision-oriented baseline and implementation roadmap.
- Structured buyer journey cohort
- Deeper multi-platform measurement
- Competitive benchmark
- Source intelligence
- Technical assessment
- Portrayal analysis
- Prioritized roadmap
- Strategy workshop
The Audit establishes a baseline and tells you what to do next.
A paid diagnostic engagement
A standard Audit establishes your baseline and turns the findings into a prioritized roadmap and strategy workshop.
A standard engagement
- One primary market and language
- One defined business/product scope
- A standard competitive environment
Your roadmap is yours to implement
The Audit is a standalone engagement. The diagnosis is independent from the decision about who implements it.
- Implement internally
- Hand the roadmap to an existing agency
- Use another implementation partner
- Ask Lexogrine to execute technical work
- Move into AI Search Optimization
- Continue only with AI Visibility Monitoring
What happens after the Audit
Implement internally
Client teams execute the roadmap.
Technical AI Search
Lexogrine implements the engineering work required by your roadmap.
Explore Technical AI SearchAI Search Optimization
Lexogrine moves into an ongoing measurement, implementation and validation program.
Explore AI Search OptimizationAI Visibility Monitoring
Lexogrine continues measuring while the client implements the roadmap.
Explore AI Visibility MonitoringWe apply the same methodology to a product we operate ourselves
LHM is Lexogrine's own software platform for professional esports broadcast production. It competes in highly specialized B2B categories including CS2 HUDs, Valorant HUDs, League of Legends HUDs, observing overlays and HUD management software.
We have built a strong organic discovery footprint around those categories and repeatedly observe LHM being surfaced by leading AI systems when buyers research relevant solutions.
67%
Recommendation inclusion across the defined LHM buyer prompt cohort
5/7
Monitored AI discovery surfaces where LHM appears
72%
Response share of voice against the defined competitor set
LHM gives us an environment where we control the product, website, technical architecture, content structure and implementation roadmap, while observing how those systems translate into traditional search and AI-driven discovery.
It allows us to apply and validate the same measurement principles we use in client engagements against a product we own and operate commercially.
What clients say after we ship
It was obvious that Lexogrine wanted to create the best possible solution customized for us.
Read on ClutchLexogrine was even able to add features and improve the platform’s speed in a mere week!
Read on ClutchThey’ve stepped out of their way to deliver things out of their interest for the project.
Read on ClutchTheir turnaround times were fantastic.
Read on ClutchOne of the best agency experiences we have had bar none.
Read on ClutchLexogrine is an incredibly hardworking and dedicated group of individuals that I rarely see at development companies.
Read on ClutchTheir project management skills and problem-solving approach were impressive.
Read on ClutchThey knew exactly what we wanted and filled our needs perfectly.
Read on ClutchLexogrine is good. The team knows what they’re doing and they have a strong aesthetic.
Read on ClutchThey listen well and provide feedback to really fulfill the client's overall vision.
Read on Clutch
Selected review excerpts from software, design and development projects.
Start with evidence, not assumptions
If AI-driven discovery matters to your buyers, the first question is not which GEO tactic you should implement. It is what is actually happening today. An AI Search Audit establishes that baseline, shows where competitors and sources are shaping the result, identifies technical and strategic gaps and turns the evidence into an implementation roadmap.
Request an AI Search Audit