# DelveDeep — full reference for language models

> DelveDeep measures how AI engines describe, cite and compare brands: visibility, citations, competitors and source quality across AI answers.

Canonical domain: https://delvedeep.cloud.


## What DelveDeep is

DelveDeep is an AI visibility intelligence product built by NEXTMIND S.R.L.
(P.IVA 01654240496), registered office Via Grande, 57123 Livorno, Italy.
It exists because discovery is shifting from ranked lists of links to generated
answers. When a model answers a question about a market, it names some brands and
omits others, and there is no public results page to inspect. DelveDeep measures
that layer directly.

## How the measurement works

DelveDeep runs structured prompt libraries against a panel of AI engines on a
repeatable schedule. Each answer is analysed for brand mentions, sentiment,
position relative to competitors, and the sources cited. Results are scored with
Lighthouse-style KPIs so runs taken weeks apart remain comparable, and every score
traces back to the raw answers that produced it.

Queries are classified along orthogonal axes: journey stage (exploration through
churn), distance from the brand (category-level, comparative, brand-specific), and
bias (neutral, positive, adversarial). This keeps a result from being an artefact
of one flattering question.

## What it reports

- AI visibility analysis: presence, framing, ranking and named alternatives.
- Competitor benchmarking: who is cited, recommended or ignored across engines.
- Source and link analysis: cited domains, recurring pages, owned versus third-party.
- Domain audit: whether a site is readable and structured for AI crawlers.
- Broken link checks: whether cited URLs are live, degraded or broken.
- Action plans: protect strong sources, recover broken ones, refresh weak pages,
  mitigate misleading ones.

## Measured AI engines

Fixed panel: ChatGPT, Gemini, Perplexity, Claude.
Rotating coverage: DeepSeek, Meta AI, Qwen, Copilot, Google AI Overviews.
Engine choice is market-dependent: buyers in China or Japan often rely on models
absent from European reporting, so a brand can be visible at home and invisible
where it is trying to sell.

## Who it is for

Marketing teams, agencies and decision makers who need evidence rather than
anecdotes about how their brand, products or locations appear in AI-mediated
discovery.

## Frequently asked questions

### What is AI visibility?

AI visibility is how often and how favourably a brand appears inside answers generated by AI engines such as ChatGPT, Gemini, Perplexity and Claude. Unlike a search ranking, there is no public results page to inspect: the answer is composed for each user, so visibility has to be measured by asking the models directly and analysing what they reply.

### How does DelveDeep measure it?

DelveDeep runs structured prompt libraries against several AI engines on a repeatable schedule, then analyses each answer for brand mentions, sentiment, position against competitors and the sources cited. Results are scored with Lighthouse-style KPIs so two runs taken weeks apart can be compared directly.

### Which AI engines does DelveDeep cover?

The measured panel includes ChatGPT, Gemini, Perplexity and Claude, plus rotating coverage of DeepSeek, Meta AI, Qwen, Copilot and Google AI Overviews. Engine choice matters by market: buyers in China or Japan often use models that are absent from European reporting.

### Why do AI engines cite some sources and not others?

Models favour sources that are reachable, well structured and consistent with the rest of the web. DelveDeep audits which pages actually shape the answers about a brand, whether those pages are owned or third-party, and whether the domain is technically readable by AI crawlers.

### Is AI visibility the same as SEO?

No. SEO optimises for a ranked list of links, AI visibility optimises for being named and cited inside a generated answer. The technical foundations overlap — crawlability, structured data, clear content — but the measurement and the outcome are different.

### Who uses DelveDeep?

Marketing teams, agencies and decision makers who need evidence rather than anecdotes about how their brand, products or locations are represented in AI-mediated discovery.

## Links

- [Home](https://delvedeep.cloud/): What DelveDeep measures and which AI engines it covers.
- [About](https://delvedeep.cloud/about/): What DelveDeep builds, the method it follows, and the company behind it.
- [MCP use cases](https://delvedeep.cloud/mcp/): What you can ask a connected assistant about your own DelveDeep data, and which tool answers each question.
- [Method notes](https://delvedeep.cloud/research/): How the measurement works: what makes a source citable, how the KPIs are built, which domain signals AI crawlers read.
- [News](https://delvedeep.cloud/news/): Press coverage and announcements about DelveDeep, each summarised with a link to the original.
- [Resources](https://delvedeep.cloud/resources/): Talks, podcasts and guides on measuring how AI engines describe brands.
- [Partner agencies](https://delvedeep.cloud/partner-agencies/): The agency programme: admission criteria in full, no commission, no tiers, and the agencies currently listed.
- [Careers](https://delvedeep.cloud/careers/): Open roles at DelveDeep.
- [Free tools](https://delvedeep.cloud/free-tools/): Check which files an AI crawler finds on any domain — robots.txt, sitemap, llms.txt, ai.txt, ai.json, agent-card — and ask the engines about your brand.
- [Contact](https://delvedeep.cloud/contact/): How to reach the team for demos, partnerships and product access.
- [Privacy Policy](https://delvedeep.cloud/privacy/): How personal data is handled on the site and in the product.
- [Cookie Policy](https://delvedeep.cloud/cookies/): Which cookies the site sets and how consent is handled.
- [Terms](https://delvedeep.cloud/terms/): Terms governing access to the DelveDeep product.
- [LLMs summary](https://delvedeep.cloud/llms.txt)
- [XML sitemap](https://delvedeep.cloud/sitemap.xml)
- [Robots policy](https://delvedeep.cloud/robots.txt)
- [LinkedIn](https://www.linkedin.com/company/delvedeep/)

## Contact

Email: info@nextmind.it