--- title: "Connect Apollo to Optimizely - APIANT.ai" description: "When \"Account Updated\" fires in Apollo, your agent runs \"Add page\" in Optimizely." canonical: "https://apiant.ai/connect/apollo-to-optimizely" --- # Connect Apollo to Optimizely When **Account Updated** fires in [Apollo](https://apiant.ai/connections/apollo), your agent runs **Add page** in [Optimizely](https://apiant.ai/connections/optimizely). Describe the whole flow and it is built, tested on every scenario and kept running. Apollo **4** triggers Apollo **10** actions Optimizely **26** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Apollo and Optimizely to do together? Give your AI client this address. `https://mcp.apiant.ai` One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser. ### Set it up in your client ### Claude Code Run this in the directory you want to work in. `claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### Claude, web and desktop Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Cursor Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Codex and the ChatGPT desktop app Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Any other MCP client Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) Example flows ## What Apollo can start in Optimizely - When **Account Updated** in Apollo then **Add page** in Optimizely - When **Contact Updated** in Apollo then **Add project** in Optimizely Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships. Everything your agent can do with Apollo and Optimizely ## Triggers and actions 4 triggers · 36 actions - Trigger **Account Updated** Polls Apollo accounts/search for new or updated accounts (dedup on MD5 of the record; accounts/search returns no updated_at). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **Contact Updated** Polls Apollo contacts/search for new or updated contacts (dedup on MD5 of the record). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **New Account** Polls Apollo accounts/search for newly created accounts (dedup on account id). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **New Contact** Polls Apollo contacts/search for newly created contacts (dedup on contact id). Apollo has no record-change webhook API, so this is a polling trigger. - Action **Create Account** An Account is a company that your team has added to Apollo. - Action **Create Contact** A Contact is a person your team has added to Apollo. - Action **Create Deal** Deals are records that you can use to track possible opportunities with your prospective customers. - Action **Create Task** Creates a task for the specified Apollo contact (via /tasks/bulk_create with a single contact). - Action **Find Contact** Find a contact in your Apollo instance by searching for their email. If you have multiple contacts with the same email address, this search returns the contact that was created first. - Action **Find Deal** Returns up to 100 deals (opportunities) that match the specified name. Leave name blank to return all deals. - Action **Find Task** Returns up to 100 tasks for the specified contact. Leave contact_id blank to return all tasks. - Action **Get Account** Returns the details of an existing Apollo account (a company saved in Apollo), including its custom field values. - Action **Update Account** Update an existing Account. - Action **Update Contact** Update an already existing Contact. - Action **Add attribute** Creates a new attribute in an Optimizely project, which can be used to target audiences. - Action **Add audience** Adds a new audience to an Optimizely project and returns the id of the audience that was created. - Action **Add campaign** Creates a new personalization campaign in an Optimizely project and returns its id. - Action **Add experiment** Creates a new experiment in an Optimizely project and returns its id. - Action **Add feature** Creates a new feature flag in an Optimizely project. Works only with legacy Full Stack projects, and returns the id of the new feature. - Action **Add page** Creates a new page in an Optimizely project, defining the URL where experiments and campaigns can run and when it activates. Returns the created page. - Action **Add project** Creates a new Optimizely project in your account and returns the created project. - Action **Delete experiment** Archives an Optimizely experiment by its ID. Optimizely keeps archived experiments rather than permanently removing them. - Action **Get audience** Returns a single Optimizely audience by its ID, including its name, targeting conditions and status. An error occurs if the audience is not found. - Action **Get campaign** Returns a single Optimizely campaign by its ID, including its status, metrics, targeting and custom field values. - Action **Get experiment** Returns a single experiment by its ID, including its status, variations, metrics and targeting. Fails if the experiment is not found. - Action **Get experiment results** Returns the results of an Optimizely experiment, including metric performance per variation, reach and statistical significance, optionally limited to a time range or visitor segment. - Action **Get feature** Returns a single feature by its ID, including its variables and its rollout rules in each environment. Works only with legacy Full Stack projects. - Action **Get project** Returns all the properties of a single Optimizely project, including its platform, status and web snippet settings. - Action **List attributes** Returns all attributes in an Optimizely project, including their keys, names and archived status. - Action **List audiences** Returns the audiences in an Optimizely project, optionally filtered by archived or journey status. - Action **List campaigns** Returns all campaigns in an Optimizely project, optionally narrowed by journey or archived status. - Action **List environments** Returns all of the environments that have been created in an Optimizely project. - Action **List events** Returns all events in an Optimizely project, including pageview events and, optionally, classic goals. - Action **List experiments** Returns all experiments in an Optimizely project or campaign. - Action **List features** Returns all features created in an Optimizely project, including their variables and per-environment rollout rules. - Action **List pages** Returns the pages defined in an Optimizely project, optionally including single-use pages generated for campaign URL targeting. - Action **List projects** Returns all the projects in your Optimizely account, with their settings and status. - Action **Update campaign** Updates an existing Optimizely campaign's details, targeting and metrics, and can publish, start, pause, resume or unarchive it. Returns the updated campaign. - Action **Update experiment** Updates an Optimizely experiment's settings, such as its name, audiences, metrics, variations and schedule, and can optionally publish, start, pause, resume or unarchive it. Returns the updated experiment. - Action **Update feature** Updates an existing feature's name, key, description, variables, environment rollout rules or archived state, and returns the updated feature. ## Each app on its own - [ **Apollo** Apollo is a unified engagement platform that is the foundation for your entire end-to-end sales strategy.](https://apiant.ai/connections/apollo) - [ **Optimizely** The Optimizely platform technology provides A/B testing tools, in which two versions of a web page can be...](https://apiant.ai/connections/optimizely) Reviews ## What our customers say ## More from Apollo - [ **Apollo to Streak** Streak is a flexible CRM and process management system that lives inside your Gmail inbox.](https://apiant.ai/connect/apollo-to-streak) - [ **Apollo to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/apollo-to-hubspot) - [ **Apollo to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/apollo-to-salesforce) - [ **Apollo to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/apollo-to-slack) - [ **Apollo to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/apollo-to-google-sheets) - [ **Apollo to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/apollo-to-gmail) ## More into Optimizely - [ **HubSpot to Optimizely** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-optimizely) - [ **Salesforce to Optimizely** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-optimizely) - [ **Slack to Optimizely** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-optimizely) - [ **Google Sheets to Optimizely** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-optimizely) - [ **Gmail to Optimizely** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-optimizely) - [ **Google Calendar to Optimizely** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-optimizely) Questions ## Apollo and Optimizely, answered ### ### What can start an automation from Apollo? Any of Apollo's 4 triggers in the catalog, including Account Updated, Contact Updated, New Account and New Contact. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Optimizely when something happens in Apollo? Any of Optimizely's 26 actions, including Update campaign, Update experiment, Update feature and Add attribute. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Optimizely to Apollo? Optimizely has no triggers in the catalog today, so automations start in Apollo. If you need the other direction, ask: your agent reads Optimizely's API documentation and adds it. ### ### Do I have to build a connector for Apollo or Optimizely? No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running. ### ### Can my AI client use Apollo and Optimizely without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both. ### ### What happens when something fails? Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships. ### ### Is there a free plan? Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.