THE TENACIOUS AI VISIBILITY LAB
Who gets recommended by AI, and what can we learn from it?
Research into the businesses, sources and patterns appearing in AI-generated answers.
We investigate how companies appear across buyer questions and comparisons, then turn the findings into practical insights for marketing teams and business leaders.
What We Investigate
Look beyond a single answer.
Which businesses appear?
Examine the brands mentioned and recommended within a defined set of buying questions.
Which sources are referenced?
Identify the websites, publications and other sources cited in the answers we collect.
How do answers differ?
Compare responses across platforms, question types and collection periods.
What do visible businesses have in common?
Explore patterns in their content, expert presence, reputation and third-party authority.
Published Research
Explore the findings.
Research findings coming soon.
Our first research findings are in preparation. Explore the methodology below.
Our Methodology
Know what was measured before interpreting the result.
Each published study should explain:
The question
What we investigated and why it matters.
The sample
Which prompts, sectors, businesses and platforms were included.
The collection conditions
When checks took place, how often they were repeated and relevant settings or context.
The measures
How mentions, citations, recommendations and competitor appearances were recorded.
The findings and limits
What the results show, what remains uncertain and what the study cannot establish.
Reading The Results
A mention, a citation and a recommendation tell different stories.
Mention
A business is named in the answer.
Citation
A source is referenced to support the answer.
Recommendation
A business or product is presented as an option suited to the question.
Our reports distinguish these measures and explain how they were counted.
Any reported share of visibility relates to the study’s defined sample, rather than every possible AI conversation.
Why The Winners Win
Find useful patterns. Ask better questions.
When a business appears consistently in our sample, we examine the information surrounding it.
Does it answer buying questions clearly? Are its experts visible? Do independent sources support its reputation?
These observations can suggest areas worth investigating. They do not, by themselves, prove why an AI platform recommended the business.
From Research To Action
Use the findings to guide your next priorities.
Research helps us challenge assumptions, identify gaps and focus client work.
Your business still needs its own assessment. An industry pattern may reveal an opportunity, but its relevance depends on your customers, competitors and starting position.
Quick answers
Is the AI Visibility Lab the same as a client audit?
No. The Lab publishes research across defined topics, sectors or samples. A client audit focuses on your business and its commercially relevant buying questions.
Are these rankings permanent?
No. AI responses can change with wording, platform, context and time. Reports describe the findings within their stated collection period.
Does appearing in a report mean Tenacious recommends that company?
No. Inclusion records an observation from the research. It is not an endorsement or assessment of the company’s service quality.
Will you publish the methodology?
Yes. Each study explains its scope, collection approach, measures and limitations so readers can interpret it properly.
What does the picture look like for your business?
Our £500 + VAT audit examines 30 buyer prompts and five comparison prompts, then walks you through the findings and what to improve first.
Start with a 30-minute call. If you choose an audit, it costs £500 + VAT and is arranged and paid for afterwards.
Credited against month one of Growth or Dominate only.