What AI says about you
Whether your brand is named, how it is described, where it ranks and which competitors appear next to it.
When people ask ChatGPT, Gemini or Perplexity, is your brand in the answer? DelveDeep shows where you appear, which sources the models cite and how reliable they are, and whether your domain is accessible to AI.
Every DelveDeep run answers the same three questions, for your brand and for your competitors.
Whether your brand is named, how it is described, where it ranks and which competitors appear next to it.
The sites the models cite when they talk about you, how authoritative each one is, whether the cited links still work, and which of them you control.
Crawlability, robots.txt, sitemap, structured data: the technical signals that decide whether an AI crawler can reach, read and cite your pages.
Positive and working sources should be monitored, preserved and kept up to date.
Broken or degraded links can be recovered before they reduce trust and citation quality.
Cited but weak pages can be rewritten, enriched or made clearer for AI systems.
Negative or misleading sources should be tracked and countered with stronger signals.
Separate owned assets, third-party reviews and risky sources.
The questions follow the path a customer takes: from the first search to the choice, from support to renewal, up to the moment they think about leaving.
A few key questions to the main engines: where your brand stands today, quickly.
Hundreds of questions across every stage of the journey and every engine in the panel, repeated over time.
For shops, branches and practices: whether AI names you when someone asks for a place nearby.
On top of the questions every brand shares, some sectors have question sets of their own, written for how their customers actually ask.
The same four steps every DelveDeep run follows, whether it is a one-off audit or a scheduled campaign.
Start from the questions your buyers actually ask an AI engine: category, brand, comparison and local queries. DelveDeep builds the prompt set from a structured library rather than a handful of ad-hoc prompts.
The same prompt set is sent to several engines in one run, so differences come from the models and not from the wording. Repeat on a schedule to get a comparable time series.
Each answer is analysed for brand mentions, sentiment, competitor position and the sources cited, then turned into scores you can compare run after run.
Work on what the answers actually rely on: your own pages, third-party sources, and the domain readiness signals AI crawlers read. Then re-run and compare against the previous run.
AI engines are large language models: each answer is generated for a single user and never published as a ranked page, which is why visibility has to be sampled repeatedly instead of read off a results page.
Know how AI describes your brand, products and locations, and bring evidence instead of screenshots when you report on it.
Request a demoAdd AI visibility to your clients' reporting: repeatable measurements, competitor benchmarks and an action plan for every source.
DelveDeep for agenciesReproducible analyses show how AI engines describe brands, companies, places, products and public figures.
Short answers to what teams ask before they start measuring how AI engines describe their brand.
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.
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.
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.
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.
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.
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.
The free check shows what an AI crawler finds on your site, with the results right on the page.