Rankavi Launches API That Lets Businesses Publish Brand Mentions Across Third-Party Websites

New Rankavi API enables businesses and AI agents to automate the creation and publication of brand-focused content across a network of indexed websites.

October 5, 2026 — Rankavi has launched a brand mention publishing API that allows businesses to submit content programmatically and publish brand mentions on third-party websites. The API gives companies, developers, marketing teams, and AI agents a direct way to automate brand mention campaigns without manually submitting each article through a publishing dashboard.

The new API connects Rankavi's publishing infrastructure with automated content workflows. Businesses can create articles internally or generate them with AI agents and submit them directly to Rankavi for placement on indexed third-party websites.

Rankavi built the API around a simple objective: make third-party brand mention publishing accessible through software.

Businesses traditionally manage digital PR, content placements, publisher outreach, and brand mention campaigns through manual processes. Teams identify websites, contact publishers, negotiate placements, prepare content, submit articles, monitor publication, and track live URLs.

Rankavi converts much of that process into an API-driven workflow.

A business can generate an API key from its Rankavi account, connect the API to an internal application or AI agent, and submit an article for publication. Rankavi then matches the content with a website within its publishing network and processes the placement.

The company currently works with a network of more than 20,000 websites across 74 niches, according to Rankavi.

Businesses Can Now Automate Brand Mention Publishing

The Rankavi API extends the company's existing brand mention service by allowing businesses to submit publishing requests without manually entering each article into the Rankavi dashboard.

The API accepts article information including a title, HTML body, and category.

A business can therefore connect Rankavi to an existing content production system and move articles from creation to third-party publication through an automated workflow.

The system is also designed for AI agents.

Rankavi says businesses can connect its API to AI development and agent tools such as Claude Code, Codex, and Grok Bot. An AI agent can create suitable content and send the completed article to Rankavi through the API.

This approach allows companies to build automated workflows in which software handles multiple stages of brand mention publishing.

For example, a business could use an AI agent to research topics related to its market, prepare a comparison article or listicle, structure the article in HTML, and submit the completed content to Rankavi.

Rankavi handles the publishing stage.

The result is a programmatic alternative to manually managing individual third-party content placements.

Rankavi Targets the Growing Importance of Third-Party Brand Mentions

Rankavi's service focuses on references to companies, products, and services that appear on websites outside a company's own domain.

These references can include linked or unlinked brand mentions.

A backlink creates a clickable connection from one website to another. A brand mention references a company or product by name and does not necessarily require a clickable link.

Rankavi positions third-party mentions as signals that can help establish brand recognition across the open web.

The strategy has become increasingly relevant as consumers use AI systems alongside conventional search engines to research companies and compare products.

ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, and other AI-powered discovery tools can synthesize information from multiple sources when answering questions about products, businesses, and categories.

Businesses therefore face a visibility challenge that extends beyond their own websites.

Publishing a company website explains what the company says about itself. Independent websites provide additional references that establish how the brand appears elsewhere on the web.

Rankavi's platform is designed to increase this external footprint by placing brand-focused content on third-party websites.

The company's source material cites an Ahrefs Q1 2026 study of 75,000 brands reporting a 0.664 correlation between branded web mentions and AI visibility. Rankavi also cites 2026 Semrush data stating that AI-referred traffic converts at 4.4 times the rate of organic search traffic.

These figures form part of Rankavi's case for treating brand mentions as an independent component of AI search visibility strategies.

One API Request Can Start the Publishing Process

Rankavi designed the API around a straightforward request structure.

After creating an account, a customer generates an API key and authenticates requests using that key. The customer then sends the article title, HTML content, category, and other required information to Rankavi's API endpoint.

A successful request creates a Rankavi order.

The submitted article then enters Rankavi's website-matching and publishing process.

Rankavi's example API workflow returns a successful response containing an order identifier, allowing the customer or connected application to track the submission.

This architecture allows developers to integrate brand mention publishing directly into software.

A SaaS company could connect publishing to its internal marketing platform. An SEO agency could integrate submissions into its client workflow. An ecommerce company could connect content generation and publication. A developer could build a custom agent that prepares and submits articles according to predetermined rules.

The API removes the requirement to manually repeat the same submission process for every article.

AI Agents Can Move From Content Creation to Publication

The API also reflects a broader change in how businesses use AI.

Generative AI initially helped marketing teams draft content. Agent-based systems increasingly perform sequences of tasks instead of producing a single piece of text.

Rankavi's API gives these systems a publishing destination.

An AI agent can potentially prepare a relevant article, format the content, select an appropriate category, and make an authenticated API request. Rankavi can then process the article for placement through its publishing network.

This creates a connection between AI content production and third-party distribution.

Businesses remain responsible for defining their content standards, claims, positioning, and automation rules. The API provides the infrastructure needed to transmit approved content into Rankavi's publishing system.

Rankavi describes the process as automating the brand mention workflow "from writing to publishing."

The model can be particularly useful for companies that publish content repeatedly across multiple topics.

Instead of treating each placement as a separate project, businesses can incorporate third-party publishing into a repeatable content operation.

Rankavi Matches Articles With Websites Across 74 Niches

Rankavi says its publishing network includes more than 20,000 websites covering 74 niches.

After receiving an article, Rankavi matches the submission with an indexed website relevant to the content category.

The platform does not position its service as a marketplace where customers select a specific named publication. Instead, Rankavi emphasizes niche-relevant matching across its network.

This distinction is central to the service.

A business submits the content it wants published. Rankavi handles the website matching and placement process.

The model reduces the operational work associated with finding and coordinating with publishers individually.

Rankavi also allows customers to monitor placements through the My Mentions section of their accounts.

The dashboard records information including article titles, publication dates, live status, and website metrics. Rankavi says the system displays Ahrefs metrics including Domain Rating, referring domains, and backlinks for placements.

Customers receive the live article URL after publication.

API Access Is Included With Rankavi Brand Mention Credits

Rankavi uses a credit-based pricing system.

One credit purchases one brand mention placement.

The company's current pay-as-you-go price is $15 for one credit. Rankavi also offers bulk credit packages, including 20 credits for $270 and 50 credits for $600.

That reduces the stated cost per mention to $13.50 with the 20-credit package and $12 with the 50-credit package.

Credits do not expire, according to Rankavi.

API access is included with the brand mention service rather than sold as a separate software subscription.

This pricing structure means a company can use the API when needed instead of committing to a fixed monthly API publishing volume.

Businesses can buy credits, connect their systems, and use those credits when their applications submit articles.

Rankavi also offers done-for-you options for companies that prefer to outsource the content and placement process rather than build automated publishing workflows.

Businesses Can Submit Articles Up to 5,000 Words

Rankavi supports articles of up to 5,000 words per submission.

The platform recommends formats such as "best of" listicles, product or company reviews, and brand comparison articles.

Content can contain structured HTML elements including lists and tables.

This flexibility gives businesses control over the information surrounding a brand mention instead of limiting the service to a short citation or directory entry.

A company can explain product characteristics, compare solutions, describe a category, or provide useful educational information while incorporating its brand into the article.

The API makes the same concept programmable.

A content system can prepare structured HTML and submit it without requiring an employee to copy the finished article into a separate publishing interface.

Rankavi Provides Placement Confirmation and Tracking

Automation does not end when an API request is accepted.

Rankavi provides order tracking so customers can monitor their submitted mentions.

The company says customers receive an email containing a link to the live article and can access publication information from their Rankavi accounts.

Rankavi's published workflow states that customers can expect confirmation within 24 hours, with publication occurring within one working day or less depending on volume. Its FAQ further states that self-publish mentions can go live within minutes of submission, with the live URL visible within 24 hours.

Rankavi also states that a credit is returned when a mention becomes unpublished, broken, or returns a 404 error under the conditions of its placement guarantee.

The company guarantees placement rather than search rankings or AI citations.

Rankavi explicitly states that it does not guarantee a specific ranking or AI recommendation because external factors influence search and AI results.

The guarantee applies to publication.

API Opens Brand Mention Infrastructure to Agencies and Developers

Although businesses can use the Rankavi API for their own brands, the infrastructure also creates potential use cases for agencies and developers.

SEO agencies can connect Rankavi to internal client management systems.

Content agencies can connect article production pipelines to publishing.

Ecommerce companies can build workflows around product categories and buying guides.

SaaS companies can automate content about the problems their products solve.

Developers can create specialized AI agents that produce and submit content according to a company's rules.

The common element is automation.

The API turns a service that normally requires repeated human interaction into infrastructure that software can access.

That distinction becomes more significant as companies increase their use of AI agents.

An agent that can research and write content still needs external systems if it is expected to perform actions. APIs provide the interface between the AI system and those actions.

Rankavi's new API supplies that interface for third-party brand mention publishing.

Brand Visibility Is Expanding Beyond Traditional SEO

The Rankavi launch also highlights a shift in search marketing.

Traditional SEO has historically concentrated heavily on rankings, backlinks, technical optimization, and content published on a company's own domain.

AI search introduces another consideration: how consistently independent sources describe and recognize a brand.

When users ask an AI system for the best software for a specific problem, a recommended product category, or companies worth considering, the answer can draw on information distributed across the web.

This creates an incentive for businesses to establish clear associations between their brands and the categories in which they operate.

Rankavi aims to help businesses create those associations through third-party content.

The company describes its goal as building independent, external consensus around brands.

No service can guarantee that an AI system will recommend a particular company. Rankavi instead provides businesses with a scalable mechanism for increasing legitimate third-party references that can contribute to a broader online presence.

From Manual Outreach to API-Driven Distribution

The Rankavi API represents a change in how businesses can approach brand mention campaigns.

The traditional workflow can involve spreadsheets, email outreach, publisher negotiations, content submissions, status checks, and manual URL tracking.

Rankavi centralizes those activities around a publishing platform and now exposes part of that infrastructure through an API.

Businesses can use the Rankavi dashboard when they want manual control.

They can use the API when they want automation.

They can also combine both approaches.

A marketing employee might manually submit a high-priority article while an AI agent handles a larger recurring publishing workflow through the API.

This flexibility allows companies to determine how much of the process they want humans or software to manage.

Rankavi Makes Third-Party Publishing Programmable

The central feature of the launch is simple: third-party brand mention publishing can now become part of a software workflow.

A company creates content.

Its system sends the content to Rankavi through the API.

Rankavi processes the article and matches it with a website.

The article is published.

The customer receives and tracks the resulting placement.

This workflow allows businesses to move from individual manual placements toward scalable brand mention operations.

As AI agents become more capable of managing marketing tasks, APIs that connect those agents to real-world actions will become increasingly important.

Rankavi is applying that model to brand visibility.

The company is giving businesses a direct programmatic route from content generation to third-party publication.

Availability

The Rankavi brand mention API is available to Rankavi customers.

Businesses can create an account, purchase credits, generate an API key, and connect the service to their applications or AI agents.

One credit corresponds to one brand mention. Rankavi currently lists individual credits at $15, with bulk packages reducing the per-mention price.

Customers can also use Rankavi's web dashboard to submit and monitor articles without an API integration.

For businesses that do not want to create or manage their own content, Rankavi offers done-for-you brand mention campaigns.

About Rankavi

Rankavi is a brand mention service focused on helping businesses build third-party recognition across the web. The platform publishes brand-focused content on indexed third-party websites and provides tools for submitting, automating, and tracking brand mentions.

Rankavi's publishing network includes more than 20,000 websites across 74 niches. Businesses can submit content manually through the Rankavi dashboard or automate submissions using the Rankavi API and compatible AI-agent workflows.

Rankavi focuses on third-party brand visibility for conventional search and AI-powered discovery platforms, including Google, ChatGPT, Perplexity, Claude, Gemini, and other AI search experiences.

For more information, visit Rankavi or contact [email protected].

Media ContactRankaviEmail: [email protected]