Get your brand cited in ChatGPT, Perplexity and Google AI Overviews.

Every new URL Rankera publishes is submitted to Google and Bing for indexing. That includes the niche articles, Medium articles, YouTube videos, Shorts, Reels and GitHub Gists created for your keywords.

Submission matters because a page that has not been indexed cannot rank and cannot be used as a source in search results or AI Overviews. Search engines do discover pages on their own, but that can be slow, especially for new URLs on large platforms where millions of pages compete for crawl attention. Submitting each URL tells the engines it exists and is ready to be read.

Submission is a request, not a guarantee; the search engine still decides whether and when to index a page. That is why the dashboard tracks results at the keyword level every day. If pieces for a keyword are live and indexed, they start showing up in the top 30 rankings and AI Overview checks, and the roadmap can respond to what is and is not appearing.

The niche publication mentions carry no link to your site by design. Their job is to put your brand name, described accurately, into the articles AI engines read. A model learns from the text, so the mention does its work without a link.

Leaving out the link also removes the risks that come with paid links. Nothing is added to your backlink profile, there is no pattern of links from a network pointing at your domain, and there is nothing to disavow if your SEO strategy changes later. This is also the clear line between these publications and a private blog network: a PBN exists to pass links, and these pass none.

Your site still receives links from the channels where linking is natural and expected. YouTube video descriptions link to your site, and GitHub Gists link the article and videos together. The result is a footprint that combines unlinked brand mentions with ordinary platform links, rather than relying on manufactured link equity.

Brand mentions on Rankera's niche publications stay live for the length of your subscription plus 12 months. If you stop, the mentions published for you remain in place for a further year rather than disappearing the day the plan ends.

That matters because AI visibility builds on accumulated coverage. Each month's work adds to what came before, and earlier mentions keep supporting the searches they were written for while new keywords are added. A placement that vanished after a few weeks would undo that gradual build.

The other channels are published on public platforms: Medium, YouTube, Instagram and GitHub. Every live URL for every channel is listed in your dashboard, so you always have a complete record of what has been published for your brand, which keyword it targets, and where to find it. Those lists also feed the white-label reports, which you can export as PDF or CSV or share as read-only links.

For each keyword, the daily check records four kinds of information. Together they show whether you are present in AI search for that query and how strongly.

• AI Overview present: whether Google showed an AI Overview for the search at all that morning.
• Brand named: whether the AI Overview mentioned your brand in its answer.
• Brand linked: whether the AI Overview linked to your website, your YouTube videos or your Medium articles as a source.
• Rankings: where your website, your YouTube videos and your Medium articles appear in the top 30 Google results.

This is brand-name tracking: every target keyword's AI Overview is checked for your brand name each day. Each reading is stored by date, so the monthly roadmap shows the trend for every keyword on your list day by day, with a count of the days it named you, rather than just a snapshot.

These are three separate levels of visibility, and Rankera records each one on its own. Presence means Google showed an AI Overview for the search. Nothing about your brand is implied; it only tells you an AI answer is there to be won.

A mention means the AI Overview named your brand in its answer. This is the outcome most buyers notice, because the brand appears in the text they read, often in a list of recommended options.

A link, or citation, means the AI Overview pointed to one of your own sources: your website, a YouTube video or a Medium article. A citation shows Google is drawing on your material, not only repeating your name.

Keeping these apart helps you read progress honestly. A keyword can show an AI Overview every day without naming you, which tells you there is room to compete. A mention without a link suggests Google knows of you from other sources. A mention with a link is the strongest result the tracker records.

Rankera tracks where your website, your YouTube videos and your Medium articles appear within the top 30 Google results for each target keyword. Those three are tracked because they are the URLs you or the service publish under your brand and that can rank on their own.

Tracking all three matters because a buyer search can be answered by more than one kind of page. A video or a Medium article can reach page one for a query where the website has not yet ranked, and each extra position held by your brand is another chance to be seen and clicked.

The top 30 window is deliberate. Many pages first appear on page two or three before climbing, and seeing that early movement is more useful than waiting for a page-one result to show up from nowhere. In the dashboard, rankings sit beside the AI Overview data for the same keyword, so you can see whether ranking content and AI mentions are moving together.

Yes. Every morning, for each target keyword, Rankera checks whether Google's AI Overview names your brand, links to your website, videos or Medium articles, or both. The monthly roadmap shows this as a day-by-day chart and a keyword-by-day grid with a count of how many days each keyword named you, and the same data is in the PDF report.

Searches for your brand name on its own are not part of the daily check. Tracking stays on the buyer searches your roadmap targets, where people are still choosing and being named is what wins new customers.

This is also where your brand facts earn their keep. The products, pricing, differentiators and proof points you keep in Brand Config are used in every piece Rankera produces, so the material published across the six channels describes you consistently. Over time that gives Google and AI assistants a clearer, more uniform picture to draw on when someone looks you up.

Start versus today compares each keyword's first recorded reading with its most recent one. It answers the simplest question a client asks: where did we start, and where are we now.

For every keyword you can see whether an AI Overview appeared, whether it named and linked your brand, and where your pages ranked at the start, then the same readings for today. Because the starting point is captured before or as the work begins, it is a fair baseline rather than a figure reconstructed later.

This view is useful for reporting and for prioritising. Keywords that moved show which topics and formats are working. Keywords that stayed flat are candidates for more coverage, a different angle, or a closer look at which competitors Google keeps naming instead. Comparing the first day of tracking with today across the whole list gives a broader picture than any single keyword, which is helpful because individual queries can swing for reasons outside your control.

Each month's roadmap sets delivery targets for every channel, and the dashboard shows progress against them with a bar per target and a marker for today's pace. A marker shows where delivery should be by today if the month's work is spread evenly.

If the progress bar is ahead of the marker, delivery is ahead of schedule. If it sits behind, you can see it straight away rather than finding out at month end. This makes the plan easy to check without asking for an update.

Targets follow your plan level. Each plan sets how many keywords are targeted each month, and every keyword gets one brand mention, one Medium article, one YouTube video, one Short, one Instagram Reel and one GitHub Gist. The progress bars show each of those counts separately, so you can see that every channel is being delivered rather than only the headline total.

The dashboard's link lists show every published URL, channel by channel, so you can open and check each piece of work yourself. There are separate lists for live articles and brand mentions, Medium, YouTube, Instagram and GitHub.

Each entry is a real, public link. You can read the buying guide that names your brand, watch the video, see the Short and the matching Reel, and open the Gist that ties the article and videos together. Nothing is reported as delivered without a URL you can visit.

The lists also connect to the roadmap. The keyword plan marks each piece as it goes live, so you can see at a glance which keywords are fully covered across all six channels and which are still in production. Every new URL is also submitted to Google and Bing for indexing, which helps new pieces get discovered rather than sitting unseen.

Yes, reports can be exported as white-label PDF or CSV files, and the roadmap can be shared through a read-only link with a white-label option. These are included at every plan level.

The PDF suits a monthly summary for a client, a manager or a board. The CSV suits anyone who wants to work with the raw data in a spreadsheet, combine it with other reporting, or build their own charts.

The shareable roadmap link lets someone view the plan, targets and progress without logging in or being able to change anything. That is useful when a stakeholder wants to follow along but should not edit keywords or titles. For agencies, the white-label option means the report and the shared roadmap can be presented under the agency's name rather than Rankera's, so the client relationship stays with the agency.

Read trends over weeks, not single days. Google's results change constantly, and an individual keyword can show your brand one morning and not the next for reasons that have nothing to do with your content.

AI Overviews themselves can appear or disappear for a query. Google sometimes stops showing an AI Overview for a search, or for a group of searches, for a period and later brings it back. On those days a keyword cannot show a mention because there is no AI Overview to mention you in. That is why presence is recorded separately from mentions: it lets you tell the difference between losing a mention and Google showing no AI answer at all.

The most reliable signals are the share of tracked keywords where you are named, how often you are named first or near the top, and whether your website, videos and Medium articles are climbing in the top 30. Looking across the whole keyword list smooths out the noise of any single query.

The daily results feed directly into the next monthly roadmap. Keywords where your brand is already named and linked need less new coverage, while keywords where an AI Overview appears but names competitors show where more work is likely to pay off.

Rankings help too. If a YouTube video is climbing for a keyword but the website is not, the next month can lean into angles that suit that format. If a topic is stuck, the competitor research shows which companies Google keeps recommending and what it credits them for, which points to the angles and proof points your content should cover.

Researched keywords beyond your plan sit in a backlog, and tracking helps decide which of them move up. You can still edit the keywords and titles in each roadmap before production starts, so the plan reflects both the data and what you know about your own business.

Researched keywords that do not fit in this month's plan go into a backlog and are scheduled for later months. Research often finds more buyer searches than a plan covers in one month, especially in categories with many competitors, product types or locations.

The backlog means none of that research is lost. Each month, the roadmap draws the next set of keywords from it, and results from daily tracking help decide which searches should come next. For example, keywords where an AI Overview already appears but does not name your brand may be worth prioritising.

A higher plan covers more keywords sooner. If your backlog holds far more searches than your current plan can reach in a reasonable number of months, moving up a level clears it faster because more keywords are targeted each month. Moving from 50 to 130 of each, for instance, more than doubles the number of buyer searches covered each month.

You can see the backlog alongside the roadmap, which makes it easier to judge whether your current plan matches the size of your category.

Every plan includes the same service and dashboard; only the monthly volume changes. Whether you choose $250 or $2,000, you get:

• Client dashboard with a brand switcher for multi-brand and agency accounts.
• Brand facts covering products, pricing, differentiators, team, proof points and writing style, kept in Brand Config and used in every piece.
• Deep competitor research showing which companies AI Overviews already recommend in your category and what Google credits them for.
• Monthly roadmap with edits listing every keyword and title before production.
• Article approvals so you can read, edit, approve or reject articles before they publish.
• Daily AI visibility tracking of Google AI Overviews and rankings for every target keyword, including whether each AI Overview names your brand.
• Lists of every published link for brand mentions, Medium, YouTube, Instagram and GitHub.
• White-label reports as PDF or CSV, plus shareable read-only links.

Indexing submission to Google and Bing for every new URL is part of the process at all levels too.

The right plan depends mainly on how competitive your category is and how many buyer searches it contains. A useful starting point is the number of searches people make before choosing a provider like you: best-of queries, alternatives to competitors, comparisons, cost questions and location searches.

If that list is short and few competitors appear in AI Overviews today, a smaller plan can cover your core searches without building a long backlog. If research turns up a long list, or AI Overviews in your category already name several established brands, a larger plan lets you cover more of those searches each month instead of building a long backlog.

Agencies and companies with several brands often size the plan around the total keyword count across brands, using the brand switcher to manage each one.

No plan comes with a promise of specific rankings or outcomes. Search engines and AI tools decide what they show. What you can count on is the published volume for your plan, indexing submission for every URL, and daily tracking so you can judge progress keyword by keyword and adjust the plan from there.

For needs beyond 350 of each per month, the "More" option sets a custom volume sized to your niche. It follows the same model: a set number of keywords targeted each month, each covered on all six channels, with the same research, dashboard, tracking and reporting included.

Custom volume suits very large categories, brands with many product lines or locations, and agencies running many clients at once. The right figure comes from the research itself, based on how many buyer searches your category contains and how crowded current AI Overviews are.

Getting started is the same for every plan. Email your website and main keywords to [email protected]. That is also how "Check my vertical" works: Rankera looks at your category and the searches that matter to your buyers.

From there, the process begins with brand facts and deep competitor research, followed by buyer keyword research and your first monthly roadmap. You review and edit the keywords and titles in the dashboard before production starts, and daily tracking begins so you can compare each keyword's first day of tracking with today.

People looking for legal help ask AI which firm to call, what a matter might cost and what to expect from the process. Common query types include best lawyer for a type of case in a city or state, how much a service typically costs, what a process involves, and how to choose a firm.

Local and explanatory content tends to be cited: guides to a legal process, checklists of what to ask a lawyer, and location-specific pages. Rankera's buyer keyword research includes "near me", city and state searches, and the six channels cover them together. Brand mentions place the firm in local buying guides, videos explain processes in plain language, and Gists summarise the topic and link the pieces together.

Legal advertising needs care. Content should be general information, not legal advice for a specific situation, and claims about results, specialisms or credentials should come from the firm's own brand facts. Rules on lawyer advertising vary by jurisdiction, so use Article approvals to have the firm review each piece before it is published and remove anything it cannot stand behind.

Shoppers ask AI which product to buy, how options compare and whether a product suits a particular need. Typical queries include best product for a use or budget, one product versus another, alternatives to a known brand, and whether something is worth the price.

Best-of lists, buying guides, comparisons and visual demonstrations are the formats AI answers lean on for product questions. Rankera covers these across channels: brand mentions name your product in buying guides and best-of lists on niche publications, YouTube videos and Shorts show the product in use, Instagram Reels carry the same short videos to a shopping-minded audience, and Medium articles take a supporting angle such as care tips or sizing.

Brand facts should include accurate product details, price ranges and what sets the product apart. Avoid claims you cannot support, such as performance or health effects, and keep pricing in brand facts up to date so published pieces do not quote stale figures. Because keyword research checks real autocomplete searches, the plan follows how shoppers phrase their questions rather than how the catalogue names products.

People ask AI which provider, programme or coach to choose, and what an approach involves before they commit. Common query types include best coach or programme for a goal, what a type of therapy or session is like, how much it typically costs, and how to choose between providers.

Explanatory guides, what-to-expect content and provider comparisons tend to be cited. Video works well here because people want to see and hear who they would be working with. Rankera's YouTube videos, Shorts and Instagram Reels give that format room, brand mentions place the provider in relevant buying guides, and Medium articles and Gists cover supporting angles and tie the material together.

Health and wellness content needs particular care. Claims about outcomes should be attributed to the provider and drawn from its brand facts, not stated as general medical fact. Content should not present itself as diagnosis or treatment advice, and should encourage readers to speak with a qualified professional where appropriate. Use Article approvals so the provider can check every claim before publishing.

Families and individuals ask AI how to find treatment, what a programme involves and how to choose a centre, often at a stressful moment. Typical query types include treatment options in a city or state, what happens in a type of programme, what treatment typically costs, and what to look for in a centre.

Calm, clear explanatory content is what tends to be cited: guides to levels of care, what-to-expect pages and checklists for choosing a provider. Rankera's six channels let a centre cover each question in several formats. Brand mentions place the centre in relevant guides, videos explain processes in plain language, and Gists summarise the topic and link the article and videos together. Local searches are part of keyword research.

Trust and accuracy come first in this field. Content should describe the centre's services, accreditations and approach only as stated in its brand facts, and never promise recovery outcomes. Clinical statements should be attributed to the provider, and readers should be pointed to professional help. Rules on advertising treatment services can be strict, so have the centre review each article in Article approvals before it goes live.

Property buyers, sellers, landlords and tenants ask AI which agent or service to use and how a process works in their area. Common query types include best agent or property service in a city, how a buying or letting process works, typical fees, and comparisons between types of service.

Local guides, process explainers and service comparisons tend to be cited. Real estate searches are strongly location-based, and Rankera's keyword research includes "near me", city and state searches checked against Google autocomplete. Brand mentions place the business in local buying guides, YouTube videos and Shorts suit area overviews and process walkthroughs, Instagram Reels reach audiences browsing property content, and Medium articles take supporting angles such as a checklist for first-time landlords.

Keep fees, service areas and services accurate in brand facts, since these change and differ by market. Avoid statements about future prices or investment returns, and attribute any market views to the business itself. Rules on property advertising vary by country and region, so review claims in Article approvals before publishing.

Local customers ask AI for the best provider near them, so the aim is to have each location named for its own area. Typical queries include best service provider in a city, a service "near me", typical cost for a job, and how to choose a provider.

Location-specific guides, cost explainers and best-of lists for a city tend to be cited. For a multi-location business, the keyword list can include searches for each city or state you serve, and each local keyword gets a brand mention, a Medium article, a YouTube video, a Short, a Reel and a Gist. That gives each area its own set of published material rather than one generic page stretched across all of them.

Brand facts should list each location's services and areas accurately so pieces do not promise a service a branch does not offer. If the plan covers fewer keywords than you have locations, the rest go into the backlog for later months. Daily tracking shows which areas are being named in AI Overviews and which need more coverage next month.

B2B buyers ask AI which firm to hire, how providers compare and what a service should cost, usually before they contact anyone. Common query types include best provider of a service for a type of company, alternatives to a known firm, how to choose a provider, and pricing or engagement models.

Buying guides, provider comparisons and detailed explainers tend to be cited, and B2B buyers often research for longer and across more sources. Rankera's six channels give a firm several entry points for each keyword. Brand mentions name the firm inside comparisons and best-of lists on niche publications, YouTube videos explain the approach, Medium articles take a supporting angle such as a process breakdown, and Gists summarise the topic in a structured way.

Proof points matter in B2B. Use brand facts to set out services, team, approach and any proof points you can share, so content is specific rather than generic. Do not overstate results. Competitor research shows which firms Google already recommends and what it credits them for, which helps position the firm fairly against them.

People ask AI which financial provider to use and how a product or service works before choosing one. Typical query types include best provider of a type of financial service, how a product works, what fees to expect, and how to compare providers.

Clear explanatory guides, fee explainers and provider comparisons tend to be cited. Rankera's six channels let a firm cover each question in several formats: brand mentions in relevant buying guides, YouTube videos and Shorts that explain how the service works, Medium articles on supporting angles, and Gists that link the material together.

Financial content needs strict care. Rankera content does not give financial or investment advice, and it should never present returns, performance or suitability as fact. Any statement about the firm's products, fees or approach should be attributed to the firm and drawn from its brand facts, with the firm's own required disclosures included where it supplies them. Financial promotions are regulated in many jurisdictions, so the firm should review every piece in Article approvals and reject anything its compliance team has not cleared.

Learners ask AI which course, programme or platform to choose and whether it suits their goal. Common query types include best course for a skill or career goal, one programme compared with another, how long a course takes, what it costs, and whether it is worth it.

Course comparisons, best-of lists, curriculum explainers and sample lessons tend to be cited. Video is especially useful for education because learners want to see how a course teaches. Rankera's YouTube videos and Shorts can preview topics and teaching style, Instagram Reels reach learners browsing short video, brand mentions place the course in relevant buying guides, and Medium articles and Gists cover supporting angles and structured summaries.

Keep brand facts accurate on course content, format, length, price and any accreditation. Avoid promising career or income outcomes, and attribute any results the provider shares to the provider. Course details change often, so update brand facts when a curriculum or price changes and use the roadmap to adjust titles before production.

Yes. Reports export as white-label PDF or CSV files, and the monthly roadmap can be shared through a read-only link with a white-label option. Both are included at every plan level.

This means the material a client sees can come from your agency rather than from Rankera. The read-only roadmap link lets the client follow targets, pace, AI visibility, rankings and the keyword plan without editing anything, which suits clients who want visibility into progress but should not change the plan directly.

The PDF works as a monthly report you send or present. The CSV exports list every delivered article and Medium post with its link, for your analysts to merge into your own dashboards or combine with data from other services you run for the client. Because the tracking numbers come from a daily check of every target keyword, the report reflects a consistent log over the month rather than a single search taken just before the meeting.

Yes, multi-brand and agency accounts include a brand switcher, so you can move between client brands from one login. Each brand keeps its own brand facts, competitor research, keyword list, roadmap, approvals, published-link lists and reports.

Keeping brands separate matters for accuracy. Brand facts describe one company's products, pricing, differentiators, team and proof points, and they are used in every piece produced for that brand. Separation keeps one client's details out of another client's content and keeps each client's reporting clean.

For an account manager, the switcher makes the monthly routine quick: open a brand, check its progress against targets, review pending articles, compare its keywords with where they started, export the report, then move to the next brand. Everything for each client is in the same place and laid out the same way, which makes it easier to hand accounts between team members.

Titles are approved through the monthly roadmap, and articles through the Article approvals screen, before anything is published. The roadmap lists the target keywords and the title of every article, Medium article, video, Short, Reel and Gist planned for the month.

Keywords and titles can be edited before production starts. Items already live keep their title, so the published record stays consistent. This is the natural point to share the read-only roadmap link with your client, collect their feedback, and enter the changes as edit requests.

In Article approvals you can read each article, edit it, approve it or reject it before it goes out. That gives your agency a quality step where you can apply the client's preferences on wording, product claims or tone. Clients in regulated or sensitive fields often need this review, and having it built into the workflow means you do not need a separate process outside the dashboard.

Yes, the competitor research report is a strong starting point for a pitch or a strategy meeting. It shows which companies Google AI Overviews already recommend in the prospect's category and what Google credits each of them for.

That turns an abstract conversation about AI search into a concrete one. A prospect can see which competitors are named when buyers ask for options, and whether their own brand appears at all. The report separates direct competitors from broadly related ones, so the discussion stays focused on the companies that actually compete for the same customers.

Use it fairly. The research describes what Google currently shows; it is not a promise of what will change. A pitch that explains the current picture, sets out the plan across six channels and commits to transparent daily tracking is more credible than one that promises rankings. If you would like to see whether a vertical suits the service, email the prospect's website and main keywords to [email protected].

The keyword backlog holds every researched buyer keyword that does not fit in the current plan, which gives you a clear, data-backed reason to discuss a larger plan. Each plan covers a set number of main keywords per month, and research usually finds more than one month can cover.

Those extra keywords are not lost. They wait in the backlog and are worked through in later months. A higher plan covers more of them sooner, because it targets more keywords each month, each with one piece on every channel.

For an agency this makes growth conversations straightforward. You can show the client which buyer searches are already covered, which are waiting, and what types they are: best-of searches, alternatives to named competitors, comparisons, cost questions, or local searches. The client can then decide whether to cover the backlog faster or keep the current pace. The decision rests on their own keyword list rather than a generic sales argument.

Pricing is a monthly plan sized by how many keywords you want targeted each month. The published levels run from $250 a month for 20 of each channel up to $2,000 a month for 350 of each, with custom volume available above that.

• $250: 20 of each, 120 deliverables
• $500: 50 of each, 300 deliverables
• $750: 85 of each, 510 deliverables
• $1,000: 130 of each, 780 deliverables
• $1,500: 225 of each, 1,350 deliverables
• $2,000: 350 of each, 2,100 deliverables

"Of each" means brand mentions, Medium articles, YouTube videos, YouTube Shorts, Instagram Reels and GitHub Gists. The number also equals the main keywords covered that month. The dashboard, roadmap, brand facts, competitor research, daily tracking, approvals, published-link lists and white-label reports are included at every level. To size volume across several client brands, email [email protected].

Onboarding a client brand starts with three inputs: the client's website, their main keywords, and their brand facts. From there the process is done for you.

Brand facts cover the client's products, pricing, differentiators, team, proof points and writing style. They are kept in Brand Config in the dashboard and used in every piece produced, so the more accurate and specific they are, the more accurately the content describes the client. It is worth collecting these carefully at kickoff, including any claims the client does or does not want made.

Next comes deep competitor research, which shows which companies AI Overviews already recommend and what Google credits them for, then buyer keyword research checked against Google autocomplete. The first monthly roadmap follows with target keywords and every planned title. You and the client can edit keywords and titles before production. After that, content is produced, published across six channels and submitted for indexing, and daily tracking begins.

The client sees what you choose to share: white-label PDF or CSV reports, and a read-only roadmap link with a white-label option. Both let the client follow progress without editing the plan.

Through the roadmap link a client can see the month's targets with progress bars, AI visibility and rankings for their keywords, and the keyword plan showing which pieces are live. Reports summarise the same readings for the month, including where each keyword started and where it is now.

Clients can also open any delivered piece through its public URL: the buying guides and comparisons that name their brand, the Medium articles, the YouTube videos and Shorts, the Instagram Reels and the GitHub Gists. Being able to click through to real work builds trust, and it lets the client share good pieces with their own team. How much detail you show, and how you frame it, stays in your hands as the agency.