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    Find prompts where competitors appear in AI answers but you don't.

    Visibility Gaps report

    A visibility gap is a prompt where one or more competitors are mentioned by the LLMs, but your brand is not. These are the most actionable opportunities in GeoBubbles: the AI engines are already serving an answer for that query — they're just not picking you.

    Open the report from the left sidebar → Reports → Visibility Gaps (/app/reports/gaps).

    How gaps are detected

    A daily background job (runs at 04:30 UTC) compares the last completed measurement cycle for each site:

    1. For every prompt, list the brands mentioned in each LLM's answer.
    2. Mark the prompt as a gap if at least one tracked competitor appears and your brand does not.
    3. Group gaps by competitor, stage, city, and LLM provider for aggregation.

    Only prompts classified as Healthy or Watch by the prompt-quality watchdog are included — low-quality and excluded prompts are skipped to avoid noise.

    The report layout

    Summary cards

    At the top: total gaps, gaps by stage, top 3 competitors stealing visibility, and the LLM with the largest gap count.

    Gap table

    A sortable table of every individual gap with:

    • The prompt text and city.
    • The stage (ToFu / MoFu / BoFu / Post).
    • Which LLM(s) the gap was detected on.
    • The competitor(s) that appeared instead.
    • A Deep Dive button to launch an AI investigation.

    Filters

    • Date (single cycle or rolling window).
    • Stage.
    • LLM provider.
    • Competitor.
    • City.

    AI Deep Dive

    Click Deep Dive on any gap row to launch an on-demand investigation. This runs a multi-step analysis:

    1. Audit — fetches your page that should rank for this prompt and scores it on entity coverage, schema, freshness, and local signals.
    2. SERP context — pulls the current Google SERP for the same query so you can see what the LLMs are likely citing.
    3. Content diff — compares your page to the top competitor's equivalent page and lists missing entities, sections, and FAQs.
    4. Recommendation — a prioritised action list (e.g. "add a 'price' section", "add LocalBusiness schema with openingHours", "add an FAQ block answering …").

    The deep dive uses your account's AI credits. Results are saved to the gap row so you can revisit them without re-running.

    Action hints

    The Action Hints tab clusters gaps by recurring themes (e.g. "missing price information", "no city-specific landing page for Aarhus") so you can fix dozens of gaps with a single content change instead of working prompt-by-prompt.

    Workflow we recommend

    1. Weekly: open the report, sort by competitor frequency, and read the top 5 clusters in Action Hints.
    2. Pick one cluster with the highest combined SOV impact.
    3. Run a Deep Dive on a representative prompt in that cluster.
    4. Ship the fix (content, schema, landing page).
    5. Wait one cycle and check whether the cluster shrinks.

    Notes

    • Gaps are recomputed every cycle. A gap that resolves naturally (you start appearing) drops off the list automatically.
    • Suggested Competitors panel — suggestions are derived from brands that co-occur with yours in LLM answers, so the list reflects who the AI engines treat as your peers (not who ranks alongside you in Google).
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