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Backlinking Plays Prominent Role in SEO Ranking if Executed Intelligently

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In the digital marketing world, backlinking is playing an important role and proving to be one of the pillars which can help in the success of SEO ranking. Though techniques to achieve good SEO ranking is changing rapidly, backlinking is the most prominent way or attempt to stay flexible enough with the changes. Companies are looking for quality links to make backlinking more successful for them.

The process of getting backlinks is old but still proving useful for the success of search engine optimization. But this is not the same way as it was a few years back. The new search engine algorithms are not depending upon the number of incoming links a webpage has to make in order to get it ranked. It is depending on both the quality of links and content.

According to the experts, inbound links are more useful for search engine optimization of a webpage after considering many elements such as localization, contextualization of on-site articles and mobile that also play a big role.

It indicates that backlinks on the webpages only boost the rank of the site on search result pages if it has high-quality relevant articles, are mobile-friendly, technically right and consists of massive amount of links. Backlinks are great products for SEO if executed intelligently.

Modern SEO is demanding to create such articles that attract incoming links than make links systematically. It can be fruitless to invest your time in creating articles for generating inbound links when you can pay for them. In the present time, competition is high. The way to survive is only good content that is helping to achieve more visibility. Finding out the topic of articles is playing an important role to make the backlinks workable for the website.

From television to the internet platform, Jonathan switched his journey in digital media with Bigtime Daily. He served as a journalist for popular news channels and currently contributes his experience for Bigtime Daily by writing about the tech domain.

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My Main AI Turns Complex Workflows into Simple, Voice-Driven Conversations

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Photo Courtesy of My Main AI Inc.

By: Chelsie Carvajal

Managing modern workflows often means juggling dashboards, documents, and long email threads before a single task is complete. My Main AI Inc, an AI technology platform that spans text, image, voice, and video, has built a system where many of those steps can be handled through spoken or written prompts instead of manual clicks.

Turning Tasks Into Conversations

My Main AI groups several automation tools around a voice and chat layer so users can move through work by giving instructions rather than configuring each step. The platform lists AI Web Chat, AI Realtime Voice Chat, AI Speech‑to‑Text Pro, and AI Text‑to‑Speech engines from providers such as Lemonfox, Speechify, and IBM Watson, creating a loop between spoken input and generated output.

Speech‑to‑text tools support accurate transcription of audio content in multiple languages, with options to translate those recordings into English. That capability gives businesses a way to record meetings, calls, or field conversations, then convert the results into text that can be summarized, edited, and turned into documents or scripts. Text‑to‑speech tools, including multi‑voice synthesis with up to 20 voices and SSML controls, take written content in the other direction, producing voiceovers for training, marketing, and support material.

Chat assistants extend the same pattern to files and websites. My Main AI lists AI Chat PDF, AI Chat CSV, and AI Web Chat, which allow users to ask questions of documents or site content through natural language prompts. Instead of sorting through long reports, a user can query a file, receive concise answers, and then send follow‑up requests to generate emails, briefs, or summaries in the same environment.

From Content Pipelines to Voice‑Led Workflows

The company reports that its platform connects to more than 100 models from OpenAI, Anthropic, Google Gemini, xAI, Amazon Bedrock and Nova, Perplexity, DeepSeek, Flux, Nano Banana, Google Veo, and Stable Diffusion 3.5 Flash. Public materials state that these models support text, image, voice, and video generation in more than 53 languages, giving the voice‑driven tools reach across several regions and markets.

Content creation sits at the center of many of these workflows. My Main AI offers modules for blog posts, email campaigns, ad copy, social captions, video scripts, and structured frameworks such as AIDA, PAS, BAB, and PPPP. A user can dictate key points or paste a brief into the chat, receive draft text, ask the assistant to adjust tone or length, and then pass the result into voice synthesis to create a narrated version.

Visual tools fit into the same flow. DALL·E 3 HD, Stable Image Ultra, and an AI Photo Studio support image creation, product mock‑ups, background changes, and multiple variations from a single upload. AI Image to Video and text‑to‑video connections with engines such as Sora and Google Veo, alongside an AI Avatar feature labeled “coming soon,” make it possible to turn a spoken or typed brief into images, then into short clips that accompany the newly generated audio.

Why Businesses See Conversation as Infrastructure

Company data shared with partners cites more than 77,000 customers worldwide, annual revenue near 3 million dollars, and monthly revenue growth around 250,000 dollars, driven largely by subscription sales. The 49‑dollar plan is described as the best‑selling tier, with My Main AI presenting it as the entry point to the broader suite of conversational and automation tools.

Business‑oriented features show how these voice‑driven workflows connect to operations. The platform lists payment gateways such as AWDpay and Coinremitter, integrations with Stripe, Xero, HubSpot, and Mailchimp, and tools for SEO, finance analytics, dynamic pricing, wallet systems, and referrals. A manager can ask a chat assistant to pull figures, draft a report, and prepare customer messages, then move directly into sending campaigns or reviewing payments through linked services.

Company communications describe ongoing work on proprietary models, expanded training flows from text, PDFs, and URLs, and deeper tools for chat, analytics, and video. That roadmap suggests that My Main AI views conversation—spoken or typed—as a central control surface for complex workflows, with automation stepping in behind the scenes so users can focus on clear instructions rather than manual configuration.

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