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Roadmap

Roadmap

What we are shipping next, what we are building right now and what is already in production. The public roadmap of the GeoSuite AI visibility platform.

  1. Q1 2026

    Foundation — shipped

    • Cross-engine brand audit on ChatGPT, Gemini and Perplexity
    • E-commerce audit with per-product PMF score (Shopify, WooCommerce, Magento, PrestaShop)
    • Agency workspace: multi-client, role-based access, audit history per brand

  2. Q2 2026 · Current

    Audit foundations

    • Perplexity grounded routing for comparison and recommendation lanes
    • Audit history with delta tracking and onboarding tour
    • LLM-native audit questions: persona × intent × funnel-stage matrix generated dynamically from the brand's context, no per-vertical templates
    • Brand context pack: structured, editable audit output (industry, sub-industry, positioning, audience, attributes, customer problems) as the single source of truth for downstream modules
    • Brand vs product disambiguation: every citation validated by a classifier to avoid false positives on homonym names or common words
    • Statistical rigor: multi-run sampling of critical metrics (SoV, brand recall) with confidence intervals exposed in reports
    • Temporal transparency: knowledge cutoff surfaced per AI engine, visibility deltas read in the context of training dates

  3. Q3 2026

    From diagnosis to action

    • White-label PDF reports with custom logo, palette and footer
    • Industry benchmark: your score vs. live sub-industry median
    • Coverage map: topic × lane × persona matrix with visible gaps and silences against competitors
    • Action queue: every audit-diagnosed gap becomes an executable task with a brief pre-populated from the context pack
    • Citation explainability: for every AI answer, why the brand is (or isn't) cited — content provenance, attributes driving the recommendation, source narrative clusters and counter-factuals
    • Alignment-to-positioning: a new axis distinct from sentiment that measures how citations describe the brand in line with its declared promise

  4. Q4 2026

    Generation & market intelligence

    • Content studio: pick the model (OpenAI / Gemini / Perplexity / Claude), define brand-voice rules, brief auto-populated from the context pack, multi-channel output
    • Editorial calendar generated from the audit: gap-driven plan with persona × intent coverage
    • Market intelligence: competitor content analysis, citation graph, co-cited entities, perceived vs. declared positioning
    • Diagnose → generate → remeasure loop: attribution of published content against the visibility delta in the next audit
    • Coverage of Claude.ai, Meta AI and Mistral, bring-your-own LLM keys and multi-level agentic orchestrator
    • Multi-market and multi-language audits: brands active across countries audited in parallel, with cross-market AI visibility comparison