Google Gemini integration

What it does

Google Gemini models plug into the ElasticFunnels AI Page Builder and into server-side backend scripts. You bring your Gemini API key, EF makes the calls for you, and every run is logged with prompt, response, and cost. Use it to generate a page from a prompt, rewrite copy for a new angle, or draft variants to split-test under the same URL.

In backend scripts, the same key powers lead classification, transcript summaries, and CRM enrichment as records come in. Calls run server-side, keyed to your account, so your key never reaches the browser. Gemini model names and pricing change often, so check current details on the Google side before you wire a specific model into a flow.

What you get

• Generate landing pages from a prompt in the AI Page Builder
• Rewrite headlines, body copy, and CTAs for new angles
• Classify and score inbound leads from form and quiz data
• Summarize call transcripts into CRM notes
• Enrich CRM entries with cleaned company, role, and intent fields
• Call Gemini from backend scripts that run server-side
• API-key auth, keys stored in your EF account, never in the browser
• Per-run logging of prompt, response, tokens, and cost

Setup

1. In Google AI Studio, create a Gemini API key.
2. In ElasticFunnels, go to Settings → Integrations → AI Providers → Gemini. Paste the key.
3. Pick a default Gemini model for the AI Page Builder, or set one per backend script.
4. Write or clone a backend script that calls Gemini for scoring, summarizing, or enrichment.
5. Run a test generation, confirm the output and the logged run appear in EF.