DualRank
AI SEO services that rank in search and answer engines
AI assistants now reply to half of all questions online. Google's grip on discovery has slipped while platforms like ChatGPT, Perplexity, Gemini and Claude steer users directly to brand recommendations. Where you rank today is only half the story. Your brand should be mentioned when people ask questions, not just when they search.
Why traditional SEO falls short today
These are the facts. In 2022, Google accounted for 92 percent of all searches. ChatGPT hit 100 million users in two months by 2023. In 2024, sixty-five percent of travel and finance searches never led to a click. Today, Google traffic is dropping eight to twelve percent while thirty percent of users now turn to AI assistants for answers. Looking ahead to 2026, experts expect half of all discovery journeys to start in AI engines.
If your business only relies on traditional SEO, you’re missing many buyers who never visit a search results page. DualRank positions your brand both where people search and where AI platforms deliver answers.
The real cost of invisible brands
When someone asks ChatGPT for business recommendations in your field, three things can happen. Your competitors get mentioned while you don’t. AI models cite other brands as industry experts. Potential customers never discover your services because you don’t exist in their research process.
This isn’t theoretical. We’ve seen established businesses lose market share to competitors who invested early in AI visibility. The gap widens every month as more people rely on AI for recommendations instead of traditional search browsing.
How DualRank works
We employ a dual-track approach for 360° coverage
SEO track
Full-site technical audit, speed and mobile optimisation, schema implementation, keyword and intent mapping, competitor analysis and entity audits, monthly SEO performance reports.
GEO track
Audit brand, product and location entities, expand prompt coverage with FAQs and long-tail queries, build citation signals with trusted directories and reputable partnerships, test and refine brand mentions in AI responses, GEO visibility scorecards and AI mention tracking.
The science behind entity recognition
AI models don’t just read keywords. They understand entities (specific people, places, products or concepts). When you mention “Indian marketing agency,” AI models find this as separate entities that relate to each other.
Your business needs strong entity signals for AI recognition. This means consistent NAP data (Name, Address, Phone) across directories, structured schema markup on your website, clear relationships between your brand and industry topics, regular mentions in reputable publications and platforms.
Without proper entity establishment, AI models struggle to connect your business with relevant queries. You become invisible in the knowledge graphs that power AI responses.
Advanced AI testing methodology
We don’t guess at AI visibility. Our testing process involves querying multiple AI models with hundreds of relevant prompts related to your business. Each query gets categorised by intent (informational, transactional, navigational) and response quality.
Testing reveals patterns in how AI models select sources. Some favour recent content while others prioritise established authority. Geographic queries pull local directory information while product comparisons rely on structured review data.
We document which content formats earn citations most frequently. FAQ sections, numbered lists, comparison tables and quote blocks consistently perform well. This data guides our content recommendations and optimisation priorities.
Content architecture for dual visibility
SEO content targets specific keywords. AI optimised content answers complete questions while supporting multiple related queries. The structure changes from keyword-focused pages to topic-comprehensive resources.
Instead of separate pages for “SEO services,” “SEO agency,” and “SEO consultant,” we create content covering the entire topic cluster. This satisfies both search crawlers looking for keyword relevance and AI models seeking complete information.
Local SEO x AI
AI models often default to large national brands unless specifically prompted for local options.
We optimise Google Business profiles with AI-friendly descriptions, encourage reviews that mention specific services and locations, ensure consistent business information across all platforms, create location-specific content that AI can reference, build local citations and community partnerships.
When someone asks AI for local recommendations, proper entity signals help models connect your business with geographic queries. This becomes especially important as voice search and AI assistants become primary discovery methods for local services.
Tools and technology
What you get
Full visibility means your brand shows up for typed searches and AI-generated responses. Reports show where you rank and how often AI answers mention your brand. Content built for humans and machines delivers clear, helpful and structured information for users, search bots and AI platforms. Future-proof strategy keeps your business ahead as behaviour shifts.
You receive monthly performance reports, quarterly strategy reviews, and annual planning sessions. Our team provides ongoing consultation and answers questions as new AI platforms emerge or algorithm updates affect your visibility.
Common mistakes to avoid
Many businesses focus on keyword stuffing instead of building authority. Others ignore technical SEO while pursuing AI visibility, not realising how interconnected these signals are.
Some companies create AI-specific content that’s separate from their main website. This fragments authority and confuses both search algorithms and AI models. Integrated approaches work better than siloed strategies.
Another mistake is expecting immediate results. AI model training cycles mean visibility improvements can take months to fully materialise. Consistent, quality content publication combined with proper technical implementation yields the best long-term results.
Who knows the future?
Voice commands, visual search, and conversational AI interfaces are becoming mainstream discovery methods. Businesses that adapt early gain significant competitive advantages.
DualRank prepares your brand for multiple discovery channels rather than betting on a single platform. Whether customers find you through Google search, ChatGPT responses, voice assistants, or emerging AI interfaces, your brand maintains consistent visibility and messaging.
Why Envigo?
Implementation timeline
Month 1 includes technical audit completion, entity mapping, and AI baseline testing. Months 2-3 focus on technical fixes, schema implementation, and initial content planning. Months 4-6 involve content production scaling, citation building, and first AI visibility reports.
Months 7-9 emphasise content refresh, advanced testing, and strategy refinement. Months 10-12 concentrate on scaling successful tactics, preparing for algorithm updates, and planning the following year’s optimisation priorities.
Throughout this timeline, you receive regular updates, performance reports, and strategy consultations to ensure the approach aligns with your business objectives and market conditions.
Get mentioned by AI
Your brand deserves attention everywhere people look for answers.