Grocliq

Grocliq monitors brand mentions across ChatGPT, Google AI Overview, Google Gemini, Perplexity and Claude. Each tracked prompt shows whether you were cited, mentioned without a link, or left out entirely. The result is a share-of-voice view that reads more like a search console for AI answers than a social listening feed.

The platform collects the questions people actually type into AI assistants and pairs them with standard keyword research data. Prompt volumes help separate a real buying question from a one-off curiosity. Teams can group prompts into themes, so a single report covers a product line instead of a hundred unrelated queries.

A gap report lines up your pages against the sources AI engines cite for the same prompt. You see the missing topics, the thin pages and the competitor URLs that keep appearing. Each gap carries a suggested action, which keeps the output closer to a task list than a raw data dump.

The AI article writer turns approved prompts into drafts with headings, FAQs and internal linking suggestions. Writers can set tone and format before generation, then edit the result in the editor. Output is capped at 20 articles per month on the Growth plan, which suits a steady publishing rhythm rather than a large content migration.

Classic rank tracking sits beside the AI visibility data, so one dashboard covers both blue-link positions and answer-engine citations. The Google Search Console connection pulls impressions, clicks and indexing status without a manual export. Weekly reporting follows the same data, which makes it easier to argue for budget with numbers rather than screenshots.

The GEO Score rates a page out of 100 across crawlability, semantic structure, entity mapping and citation readiness. The audit also checks whether robots rules or a missing llms.txt file keep AI crawlers away. Scores are directional rather than a guarantee, and the team should treat them as a to-do list, not a ranking promise.