Generative Engine Optimization
AI Visibility Audit
A focused, one-time audit of how AI engines describe your brand — what is wrong, what is missing, where you are invisible and how you are characterised — and a clear, sequenced roadmap to correct it.
A 30-minute call to align on priorities and confirm the focus of your question bank.
Audited across every engine we support
Why now
Where your buyers now start
The research surface has moved. What gets said about you on it is assembled from sources you don't own.
Search — the surface you optimised for
Ten ranked links · the reader chose
A query returned a list. The reader decided which source to trust and clicked through to you. You could see the query, the impression and the click.
AI answers — the surface you are on now
One synthesised answer · the engine chose
The engine reads the sources, decides what is true about you, and states it as fact. There is no list to choose from, and often no click through to you at all.
You cannot see it — no rank tracker, no impressions, no Search Console. Nothing in your analytics records what an engine just said about you.
You can still change it — answers are rebuilt from live sources. Change what the sources say and the answer moves. That is what this audit is for.
What creates a risk
Three factors that make this worth measuring now
Answers are built from sources you don't own
Engines assemble what they say about you from third-party pages, forums, directories and press coverage — most of it outside your control, much of it out of date.
Confident answers, unverified facts
An engine states your products, positioning, leadership and numbers as fact, with no flag when it is unsure. A wrong answer reads exactly like a right one.
AI is becoming a primary research surface
Customers, investors, journalists, candidates and partners increasingly use AI as their first-pass research tool — and often their only one.
What the audit answers
Four dimensions of how AI represents you
Each one mapped to the interventions that change it.
Visibility & share of voice
How often your brand appears in the AI answers that matter to your category, and how that compares with the competitors surfacing alongside you.
Factual accuracy
Where engines state things about your brand that are wrong, outdated or belong to another company — catalogued, scored by severity and traced to the pages causing them.
AI sentiment
How AI characterises your brand on evaluative questions — reputation, product quality, trust, employer brand, peer comparison — and where that characterisation comes from.
Sources & citations
Which sites, articles and datasets engines actually pull from when answering questions about you — where your narrative is being formed, and by whom.
Methodology
How we build your question bank
The set of prompts we put to every engine is the backbone of the audit. We build yours in four moves.
Intended-narrative mapping
We review brand guidelines, public material and stakeholder input to establish the narrative you intend, and the entity boundaries that go with it.
Stakeholder & topic mapping
We map the questions each audience actually asks AI — a buyer comparing options, an investor before a call, a journalist researching the company, a candidate weighing an offer.
Risk & accuracy probes
Built to expose where engines get you wrong: outdated facts, confused entities, misattributed products, retired claims and competitor mix-ups.
Peer benchmarking
The same questions framed against the competitors you actually lose to — for a reference point, not just a score.
The output: a bank of prioritised questions — typically 75–150 — covering the full breadth of priority topics across audiences, risk areas and decision contexts.
Breadth, not volume. We stop adding questions when new prompts no longer introduce a new persona, sub-topic or risk area. The objective is coverage of your narrative surface, not a large prompt count.
Scope & deliverables
What you get
Delivered as a written report plus a live walkthrough.
AI Visibility Report
How your brand appears across AI engines — where you show up, where you don't, and which brands appear instead.
Accuracy Audit
A catalogue of factual errors about your brand, scored by severity and reach, with the source pages driving each error.
Perception Analysis
How AI engines characterise your brand on evaluative questions — reputation, product quality, employer brand, peer comparisons — broken down by topic and audience.
Source & Citation Map
Which sites, articles and datasets engines pull from when describing your brand — where the narrative is actually being formed.
AI Representation Roadmap
Prioritised interventions across content, PR, knowledge sources, schema, entity signals and owned properties, based on the sources currently shaping AI answers.
How the engagement runs
Five weeks, from question design to a prioritised roadmap
Week 1
Discovery & question architecture
Brand and entity mapping plus stakeholder interviews, to architect a signed-off bank of 75–150 questions.
Weeks 2–3
Multi-engine audit
Structured testing across every engine. Each answer is logged with its citations, factual accuracy, sentiment and visibility flags.
Week 4
Scoring & synthesis
Accuracy scoring, sentiment scoring, source attribution and severity ratings across every answer. Draft report with the error catalogue and source map.
Week 5
Strategic readout
Final written report and a structured 90-minute session — findings, AI representation roadmap and action priorities.
Every answer, citation, accuracy score and sentiment score is captured and structured through the Paprik platform — you end up with a scored, queryable dataset, not a static PDF.
What we'd need from you
- Discovery sessions (one or two) with your marketing, communications and brand team
- A definitive brand reference: entities, leadership, products, markets, and the facts you want AI to get right
- Existing brand documentation: guidelines, press materials, product pages, existing Q&As
Success metrics
What we measure you against
Different metrics apply to different question types. We agree the primary criterion for your brand in week 1.
Visibility
The percentage of relevant AI answers in which your brand appears when it should be represented — directly, or as part of a broader category, industry or comparison discussion.
Factual accuracy
The percentage of responses that correctly represent your brand's business, products, leadership and positioning against agreed reference sources.
Sentiment
On comparison, reputation and employer-brand questions, how positively or negatively AI characterises your brand — scored on Paprik's 0–100 Sentiment Index.
Citation share
How often your own pages, rather than third-party sources, are the ones engines cite when answering questions about you.
Measuring attribution
We don't rely on best practices
We run experiments, measure outcomes and double down on what works.
Baseline capture
Answers, citations, brand sentiment and share of voice captured before any intervention.
Test vs control clusters
Changes are compared against a stable set of untouched questions, to separate intervention effects from platform-wide drift.
Citation adoption
We track whether newly introduced assets begin appearing in AI citations — evidence that the work has entered the retrieval layer and is influencing answers.
Not every intervention works. Ongoing tracking reveals which signals AI engines actually pick up, and which they don't.
At scale
What an audit actually covers
From a recent engagement with a listed multi-company group, audited across all seven engines.
7,000
AI answers analysed
100 questions put to seven engines, every day for ten consecutive days.
22,540
factual claims judged
Every claim the engines made about the group, extracted and checked against a source of truth agreed with the client.
2,279
were incorrect
Nine in ten of them could not be traced to any cited page — the engines were filling gaps the group had left open.
After the audit
We can execute the roadmap for you
Most brands follow the audit with an ongoing engagement. We implement the agreed deliverables on your own site and on third-party sites, refresh the performance data every month, and run a leadership readout so you can see what moved and what didn't. Available in India and internationally.
Talk to us about implementationFrequently asked questions
What does the AI Visibility Audit cost?
How long does the audit take?
How many questions do you test?
Which AI engines do you audit?
Is this a one-time engagement or ongoing?
Do we need to install anything on our website?
What do you need from our team?
Is the audit available outside India?
Next step
Find out what AI is telling your buyers
A 30-minute call to align on priorities and confirm the focus of your question bank. We'll take you through scope and pricing on the call.
Contact us for pricingOr email us directly at [email protected]