Searchable

Visibility & Analytics from AI Search — and the actions to drive growth.

· for mid-market

Searchable monitors how your brand surfaces inside answers from ChatGPT, Claude, Perplexity, and Gemini, then ties that visibility back to pipeline through GA4, Search Console, HubSpot, and Salesforce. It's built for marketing and SEO leaders at consumer and B2B brands who need to understand which prompts cite them, which cite competitors, and what content changes move the needle on AI-generated recommendations and referral traffic.

> pick this if

Pick this if you're a marketing or SEO leader who already treats AI search as a real channel and needs prompt-level visibility tied back to GA4, Search Console, and CRM pipeline — not just a standalone dashboard.

> look elsewhere if

Look elsewhere if your team hasn't yet instrumented GA4 or CRM attribution, if you need agentic workflows that auto-publish content fixes, or if your priority is traditional SERP rank tracking rather than LLM answer inclusion.

> what it does for ecommerce

Track brand mentions and citations across ChatGPT, Claude, Perplexity, Gemini
Connect GA4 and Search Console to attribute AI-sourced traffic
Surface prompts and queries where competitors outrank your brand
Sync visibility signals into HubSpot and Salesforce pipeline reporting
Recommend content and schema changes to improve AI answer inclusion

> how you'd use it

DTC consumer brand, $20M–$80M GMV, 4–8 person marketing team with in-house SEO
Replacing weekly rank-tracking rituals with prompt-level monitoring across ChatGPT and Perplexity, piping citation data into GA4 to see which AI-sourced sessions convert
→ Identifies the 30–50 recommendation prompts that matter in their category and lifts branded inclusion rate by rewriting PDPs and comparison pages against observed gaps
B2B SaaS vendor, $10M–$100M ARR, RevOps + demand gen team of 6–12
Feeding AI visibility signals into HubSpot and Salesforce alongside organic and paid, so pipeline meetings can attribute deals influenced by LLM citations rather than guessing
→ Builds a defensible case for AI-search content investment with closed-won data tied to prompts where Claude and Gemini cite them versus two named competitors
Mid-market retailer's SEO agency or in-house lead, $50M+ GMV, 2–4 SEO specialists
Running a competitive audit of 200+ buying-intent prompts monthly and using the schema and content recommendations to prioritize the editorial backlog
→ Shifts content roadmap from keyword volume to prompt coverage and recovers share-of-answer in categories where a competitor had dominated LLM responses