Analytics
How to Connect Frevana with [Platform]: Step-by-Step Integration

How to Connect Frevana with [Platform]: Step-by-Step Integration

8 min read ·

Executive Summary

Think about the last time you were about to buy something new. Did you scroll through page 3 of Google… or did you just ask ChatGPT, Perplexity, or Gemini what to buy and call it a day?

That’s exactly how your customers behave now. AI answer engines are quietly becoming the new “homepage” for product discovery. If your brand isn’t showing up there, you’re basically whispering in an empty room.

Frevana is built for this new reality: it’s an end-to-end AI Engine Optimization (AEO) platform that helps your brand get recommended across AI answer engines. But here’s the magic moment: Frevana becomes way more powerful once you connect it to the tools you already live in every day — your analytics, CRM, CMS, or marketing platform.

This guide walks you through how to connect Frevana with [Platform], step-by-step. We’ll cover:

  • Why integrating Frevana with [Platform] unlocks better AI visibility and real attribution
  • How to prepare your Frevana and [Platform] accounts
  • A clear, platform-agnostic integration walkthrough
  • Example workflows that turn AI insights into real campaigns and content
  • Tips to avoid the usual integration headaches
Note: “[Platform]” is intentionally generic here. The pattern works whether you’re integrating with a CRM (like HubSpot), analytics (like GA4), CMS (like Webflow/WordPress), or marketing platform (like Klaviyo or Braze). You’ll just swap in your own field names and objects.

Introduction: Why Your AI Visibility Data Can’t Live in a Silo

Picture this: someone asks ChatGPT,

“What’s the best email marketing tool for small SaaS companies?”

The AI responds with three options — and your brand is one of them. Why? Because you’ve been using Frevana to:

  • Discover the exact prompts people use when they compare tools like yours
  • Track how often your brand is recommended (and who’s beating you)
  • Fill content gaps with AI-optimized blog posts and landing pages

That’s all great… until that prospect becomes a lead or a customer and you can’t connect the dots back to how they found you through AI.

If Frevana and [Platform] aren’t talking to each other, you’re left guessing:

  • Which AI prompts actually drive signups?
  • Which AI answers are nudging people toward your competitors?
  • Which pieces of content, created for AI, move the needle on revenue or retention?

When you connect Frevana with [Platform], you finally stitch together both sides of the story:

  • Top-of-funnel AI demand: What people actually ask AI, when your brand shows up, and who you’re competing with
  • Down-funnel business impact: Which prompts, AI platforms, and content actually lead to traffic, leads, and revenue in [Platform]

That’s when AEO stops feeling like a mysterious black box and starts looking like what it really is: another acquisition channel you can manage and optimize — right alongside SEO, paid search, and email.


Market Insight: AI Answers Are the New Recommendation Engine

Frevana is built on real-world behavior, not guesses. Under the hood, it’s constantly watching how people use AI in the wild:

  • Millions of real user prompts are analyzed
  • Multiple AI platforms are monitored (ChatGPT, Perplexity, Gemini, Amazon Rufus, and more)
  • Brands often start seeing meaningful visibility shifts in just a few weeks

Zoom out, and the pattern is pretty clear:

  • People are skipping search bars and going straight to AI
  • AI answer engines behave like supercharged comparison tools and buying advisors
  • If you’re recommended there, you’re in the game — if you’re not, you might as well not exist

Traditional SEO tools are built to win blue links on a search results page. Frevana is built to win AI answers — a different arena, with different rules.

But to treat AI visibility like a serious growth channel, you need it to be:

  1. Visible: easy to see in dashboards and reports
  2. Attributable: connected to leads, revenue, and retention in [Platform]
  3. Actionable: tied into your content, campaigns, and customer journeys

That trifecta is exactly what integration gives you.


Product Relevance: What Frevana Brings to the Integration

Before you plug Frevana into [Platform], it helps to know what you’re actually connecting. Think of Frevana as your AEO “control center,” with a few key pillars:

  • User Prompt Research
    • Shows what real people type into AI when comparing brands or evaluating products.
    • Perfect to sync with [Platform] as audience segments, campaign tags, or content themes.
  • AI Visibility Monitoring
    • Tracks how often your brand appears in AI answers, where you show up, and which competitors are nearby.
    • Ideal to sync as custom metrics, dashboard widgets, or KPI fields in [Platform].
  • Auto Content Creation
    • AEO Article Writer
    • Product Landing Page Maker
    • AEO PR Strategist
    • AEO Content Advisor
    • These can flow straight into your CMS or content workflow via [Platform] as drafts, tickets, or content items.
  • Intelligence Agents & Workflows
    • Search Intent Classifier
    • Brand Preference Analyst
    • Customer Scenario Strategist
    • AEO Full-Stack Data Scientist
    • These are gold for campaign strategy, journey orchestration, or lead scoring rules in [Platform].

Once these signals live inside [Platform], Frevana stops being “just a cool analytics tool” and becomes a live engine that powers your entire go-to-market stack.


Step-by-Step: How to Connect Frevana with [Platform]

We’ll walk through a platform-agnostic blueprint you can adapt to your own setup. Just swap in your actual names for events, objects, and fields.

Step 1: Clarify Your Integration Goal

Before you click a single “Connect” button, get clear on what you actually want from this integration. A few common starting points:

  1. Attribution & Reporting
    “I want to see AI visibility metrics side-by-side with traffic, leads, and revenue in [Platform].”
  2. Content Operations
    “I want AEO content ideas and drafts from Frevana to flow into our content/project workflow in [Platform].”
  3. Targeting & Automation
    “I want AI search intent and prompt clusters to shape our segments, journeys, and campaigns in [Platform].”

Pick your top one or two goals. That choice will decide which data to sync and where it should land.


Step 2: Prepare Your Frevana Account

Get Frevana set up so it actually has useful data to send to [Platform].

  1. Sign In or Create Your Account
    • Head to Frevana and log in, or kick off your 7-day free trial (no card needed).
  2. Add Your Product / Brand
    • Set up at least one product or brand you care about.
    • Smaller teams might start with one hero product; larger teams can track a portfolio.
  3. Set Up Monitoring & Workflows
    • Add key prompts that mirror what your buyers might ask AI, like:
      • “best CRM for SaaS”
      • “top vitamins for runners”
    • Turn on the workflows you’ll actually use, for example:
      • User Prompt Research
      • AI Visibility Monitoring
      • AEO Article Writer / Landing Page Maker (if you plan to send content into [Platform])
  4. Locate API / Integration Settings
    • In Frevana, find the Integrations, API Access, or Webhooks section.
    • Generate an API key or access token if you’ll be using [Platform]’s connectors or custom scripts.

Step 3: Prepare Your [Platform] Environment

Now set the table inside [Platform] so Frevana data has a clear place to land.

You’ll usually need three things ready:

  1. Destination Object / Storage
    Decide where you want Frevana data to live:
    • Analytics tools → custom events, custom dimensions, or metrics
    • CRMs → custom properties on contacts, deals, accounts, or opportunities
    • CDPs → traits and events on profiles
    • CMS / project tools → content entries, tickets, or tasks
  2. Data Model
    Sketch out a simple data model — nothing fancy, even a one-page doc works:
    • Possible events coming from Frevana:
      • aeo_visibility_update
      • aeo_prompt_cluster_found
      • aeo_content_recommendation_created
    • Possible fields you’ll store:
      • ai_visibility_score
      • ai_citation_rate
      • top_ai_prompts
      • dominant_search_intent (e.g., commercial vs informational)
      • preferred_ai_platforms (ChatGPT, Gemini, Perplexity, Amazon Rufus, etc.)
  3. Integration Capability
    Figure out how integrations are usually handled in [Platform]:
    • Native app marketplace / gallery
    • Custom API connector
    • Webhook / inbound endpoint
    • iPaaS tools like Zapier, Make, n8n, Workato

Once you know your tools, the “how” becomes much less intimidating.


Step 4: Choose Your Integration Path

There are three main ways teams typically connect Frevana and [Platform]. Pick the one that matches your stack and tech comfort level.

Option A: Native Connector (If Available)

If [Platform] already has a Frevana app — or Frevana lists [Platform] under Integrations — start here. It’s usually the quickest route.

  1. In [Platform], go to Settings → Integrations / Apps Marketplace.
  2. Search for “Frevana.”
  3. Click Install or Connect.
  4. When prompted, log into Frevana and authorize access.
  5. Choose your sync options, such as:
    • Which products or brands to track
    • Which metrics or objects to sync (prompts, visibility scores, content suggestions)
    • How often to sync (real time, hourly, daily)

Native connectors tend to come with smarter defaults and ready-made field mappings, which cuts down on setup time and errors.


Option B: API + Webhooks

No native app? No problem. You can connect Frevana to [Platform] using APIs and webhooks. It sounds technical, but it’s basically structured “data push” and “data catch.”

On the Frevana side:

  1. Generate an API key.
  2. Set up a Webhook or Outbound Integration and specify:
    • Endpoint URL: the address where [Platform] (or your middleware) can receive data
    • Authentication: whatever [Platform] expects (an auth header, token, etc.)
    • Event types: what you want to send, like:
      • Prompt discovery events
      • Visibility updates
      • Content recommendations

On the [Platform] side:

  1. Create an inbound API endpoint or “listener.”
  2. Map Frevana’s payload fields to your objects in [Platform]. For example:
    • product_id → product, campaign, or deal ID in [Platform]
    • visibility_score → custom metric or property
    • prompt_text → a tag, note, or custom field on a campaign, contact, or content item
    • search_intent → an enum or dropdown field you can segment on
  3. Set up authentication (API keys, OAuth, or shared secret).
  4. Send a test payload from Frevana and make sure:
    • Data shows up in the right place
    • Field types look sane (numbers are numbers, text is text)
    • No errors appear in your logs

Option C: iPaaS / Automation Tools (Zapier, Make, n8n, etc.)

If you prefer low-code / no-code and don’t want to write custom code, automation platforms are your friend.

  1. In Frevana, enable webhooks or outgoing events to your automation tool.
  2. In Zapier/Make/n8n/Workato, create a trigger, such as:
    • “When a new AI visibility update is received from Frevana”
    • “When a new AEO content recommendation is generated”
  3. Add actions that push data into [Platform], like:
    • “Create or update [object] in [Platform]”
    • “Add user to segment ‘High AI Intent Buyers’”
    • “Create a content task: ‘Publish AEO article about [topic]’”
  4. Map fields visually (most tools give you a drag-and-drop UI), and test until it behaves exactly how you want.

Step 5: Define Exactly What You Want to Sync

Let’s get more concrete. Once you know your integration path, decide which Frevana data actually deserves a home in [Platform].

1. Attribution & Reporting

If your priority is measurement, focus on high-level performance signals:

Sync:

  • ai_visibility_score for each product or brand
  • ai_citation_rate for each AI model (ChatGPT, Perplexity, Gemini, etc.)
  • Top-performing prompts (stored as labels, tags, or notes)

Then, inside [Platform], you can:

  • Add these to dashboards your team already uses
  • Correlate AI visibility with organic traffic, leads, pipeline, and revenue
  • Track how quickly AEO moves the needle for you over a few weeks

2. Content Operations

If your bottleneck is content, make Frevana part of your content assembly line.

Sync:

  • AEO Article Writer outputs → blog drafts or content entries in [Platform]
  • Product Landing Page suggestions → new page records or tasks for your web team
  • AEO PR Strategist plans → campaign or project objects

From there, you can:

  • Assign content to writers or owners
  • Track status (idea → draft → in review → published)
  • Make sure AI-informed topics don’t get stuck in someone’s inbox and actually make it live

3. Targeting & Automation

If you live and breathe in your CRM or marketing automation tool, this is where things get fun.

Sync:

  • Search Intent Classifier results → intent level or “readiness” fields for leads/customers
  • Brand Preference Analyst insights → which competitor a lead might be leaning toward
  • Customer Scenario Strategist outputs → tags for use cases or scenarios

Inside [Platform], you can:

  • Build smart segments like:
    • “High-intent, commercial AI searchers”
    • “Leads who saw us compared with competitor X in AI answers”
  • Trigger automations, such as:
    • Targeted onboarding flows tailored to specific scenarios
    • Competitive win-back campaigns for leads exposed to rival brands in AI answers

Step 6: Test the Integration End-to-End

Before you roll this out to your entire team (and accidentally spam everyone with 12 emails 😅), run a contained test.

  1. Create a Sandbox or Test View
    • Use a staging environment in [Platform] if you have one, or set up test products and dummy contacts.
  2. Send Test Events / Syncs
    • Trigger a few prompts or visibility updates in Frevana.
    • Confirm they land in [Platform] exactly where you expect.
  3. Validate Business Logic
    • Do your dashboards update as planned?
    • Are segments refreshing correctly?
    • Are any automations firing too often or for the wrong people?
  4. Document the Data Model
    • Capture a simple internal guide for your team, including:
      • What data is synced from Frevana
      • Where it lives in [Platform]
      • How often it updates
      • Who to ping if something breaks

This tiny bit of documentation will save you many “what is this field?” messages later.


Step 7: Operationalize and Optimize

Once Frevana and [Platform] are officially connected, treat AEO like an ongoing channel — not a one-off experiment you set up and forget.

  • Weekly Review
    • Look at AI visibility trends alongside traffic, signups, and revenue in [Platform].
    • Flag prompts where intent is clearly high but your visibility is low — this is your opportunity zone.
  • Monthly Content Planning
    • Use Frevana’s AEO Content Advisor + Article Writer to generate topic ideas and draft content.
    • Pipe them straight into your editorial calendar or content board in [Platform].
  • Quarterly Strategy Check
    • Revisit your most important prompts, categories, and competitors.
    • Adjust your AEO priorities to match product launches and new go-to-market pushes.

Teams that treat AEO as a living, breathing channel — instead of a quick “set it and forget it” task — are the ones seeing results like:

  • Landing in the top AI recommendations in days, not months
  • Multiplying organic traffic after aligning content with real AI demand
  • Turning “we never show up in AI answers” into “AI mentions us almost half the time”

Actionable Tips for a Smooth Frevana–[Platform] Integration

  • Start narrow, then expand
    Begin with one or two key products and a handful of core prompts. Prove value, then layer on more.
  • Name fields like a human, not a database
    Keep labels like ai_visibility_score and “Top AI Prompts” clear and self-explanatory so your team actually uses them.
  • Assign clear ownership
    AEO lives at the intersection of marketing, product, and data. Decide who owns the integration, even if others contribute.
  • Keep an eye on data quality
    Regularly spot-check that prompts, scores, and content suggestions are flowing and updating correctly.
  • Lean into Frevana’s full stack
    You’ll get the best results when you combine prompt research, visibility monitoring, and content automation, not just one of the three.

Conclusion: Turn AI Visibility into a Measured Growth Channel

AI answer engines are already shaping what people buy — whether you’re tracking it yet or not. Frevana gives you the research, monitoring, and automated content creation you need to actually compete in that new arena.

Connecting Frevana with [Platform] is the step that turns all of that from “interesting insight” into measurable growth:

  • You make AI visibility traceable in the tools you already use
  • You connect AI recommendations to real-world outcomes like leads, pipeline, and revenue
  • You build campaigns and content that mirror how people really search in AI

Instead of guessing what AI might say about your brand, you can:

  1. See the exact prompts your customers use
  2. Track how often AI recommends you (and when it doesn’t)
  3. Automatically generate the content AI is more likely to surface
  4. Measure everything directly inside [Platform]

Your Next Steps

  1. Log into Frevana — or start your 7-day free trial.
  2. Set up at least one product and 5–10 core prompts that match your category.
  3. Connect Frevana to [Platform] using the option that best fits your stack (native app, API/webhooks, or iPaaS).
  4. Over the next 2–4 weeks, watch how changes in AI visibility line up with the performance metrics you’re already tracking in [Platform].

If you’d like a shortcut, schedule a demo with the Frevana team and ask specifically about integrating with [Platform]. The sooner your AI visibility data lives next to your real KPIs, the sooner AEO stops being experimental — and starts becoming a reliable, repeatable growth engine for your brand.