RankNexus.ai, an SEO, Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) platform developed by Creative Nexus, says spiritual travel platform DevMarg recorded approximately 400% month-over-month growth in AI search visibility, search impressions and organic traffic after implementing an optimization program. The case study highlights how technical SEO fixes, answer-focused content and AI visibility tracking are becoming part of the effort to help websites appear in AI-generated answers as well as conventional search results.

As consumers increasingly use AI assistants to research destinations, compare products and find practical information, businesses are expanding their search strategies beyond traditional rankings. RankNexus.ai is positioning its platform around that shift, reporting that its customer DevMarg achieved approximately 400% month-over-month growth across AI search visibility, search impressions and organic traffic.

DevMarg helps users discover temples, understand rituals and plan pilgrimages across India. The company’s challenge was to make its information easier for search engines and AI answer platforms to discover, interpret and use when responding to relevant queries.

According to RankNexus.ai, DevMarg used its platform to implement an optimization program spanning technical fixes, answer-focused content and monitoring of its presence in AI-generated responses. The workflow follows six stages: audit, identify, recommend, fix, optimize and track.

The company says the resulting gains were measured using Google Analytics 4 (GA4) and Google Search Console. However, the announcement does not provide the baseline traffic figures, exact measurement period, breakdown by metric or independent verification. Because AI visibility, search impressions and organic traffic are different measurements, the reported 400% growth should not be interpreted as a single independently validated measure of AI-search performance.

Moving Beyond Traditional Search Rankings

Generative Engine Optimization, or GEO, focuses on making a website’s information understandable and usable by AI-powered search and answer systems. Answer Engine Optimization, or AEO, generally emphasizes content structured to address questions directly. Both overlap with established SEO practices, including technical accessibility, useful content and clear information architecture.

For DevMarg, this could mean ensuring that information about temple timings, rituals, locations and pilgrimage planning is accessible and clearly structured. Such information can serve visitors using conventional search engines as well as those asking conversational questions through AI assistants.

The distinction is important: appearing in an AI-generated answer is not the same as ranking highly in a traditional search results page. AI systems select and present sources according to their own retrieval and generation processes, and a website cannot guarantee that its content will be cited.

RankNexus.ai says its platform combines conventional SEO diagnostics with tools intended to monitor visibility across ChatGPT, Claude, Gemini, Perplexity and Google AI Mode. Its AI Visibility Monitor tracks prompts, identifies sources cited in AI responses and reports a brand’s share of voice within the monitored results.

Turning SEO Audits Into Implementable Fixes

The platform also aims to reduce the work between identifying a website problem and correcting it. Its Site Audit & Fix capability scans for technical SEO, content and structured-data issues, then prepares corrections for user approval.

On supported platforms, including WordPress and Shopify, RankNexus.ai says approved fixes can be deployed directly to the live website. The company also offers tools for generating FAQ content with matching structured data and a GEO Readiness Checker that scores individual URLs from zero to 100.

These capabilities address a common operational problem for marketing teams: audit reports can identify issues without ensuring that anyone implements the recommended changes. Connecting diagnosis with deployment could shorten that process, although the value depends on the quality of the proposed fixes, compatibility with a site’s configuration and the safeguards around publishing changes.

Measuring AI Search Performance

RankNexus.ai’s case study reflects growing interest in measuring brand presence across AI answers. Yet GEO reporting remains difficult to standardize. Results can vary with the prompt, wording, location, model version, time of measurement and whether an answer includes citations at all.

A meaningful evaluation should therefore distinguish between AI citation frequency, mentions of a brand, traditional search impressions, organic visits and conversions. Teams should also record a baseline, monitor changes over a defined period and assess whether additional visibility attracts relevant users.

RankNexus.ai offers a free site audit and several no-signup SEO and GEO tools with usage limits. Its broader proposition is to bring diagnosis, implementation and AI visibility monitoring into one workflow. For marketers, the key question is whether that workflow produces sustained, measurable improvements beyond short-term changes in search metrics.

Market Landscape

AI-powered discovery is creating a new measurement challenge for marketers: website visibility increasingly involves both conventional search rankings and citations or recommendations in AI-generated answers. However, GEO should complement rather than replace established SEO practices.

BrightEdge’s 2025 analysis of thousands of queries and high-performing websites found that AI search referrals were growing month over month but accounted for less than 1% of referral traffic in its January–August 2025 dataset. The research reinforces the need to distinguish rapid growth in an emerging channel from its actual contribution to website visits and conversions.

Meanwhile, BrightEdge reported in February 2026 that Google AI Overviews appeared on approximately 48% of its tracked queries, up from roughly 30% a year earlier. This was a proprietary dataset, not a universal measure of all searches, but it illustrates why marketers are paying more attention to how AI experiences select and cite sources.

RankNexus.ai’s proposition is to combine technical SEO, content recommendations, implementation and AI visibility monitoring. That integrated workflow could be useful for smaller marketing teams that lack dedicated technical SEO resources. Its practical value will depend on the accuracy of its recommendations, the reliability of CMS deployments and whether the resulting changes improve meaningful business outcomes.

Strategic Outlook

The DevMarg case study illustrates how a niche publisher or travel platform might approach AI search optimization: make useful information accessible, structure answers around real user questions, resolve technical barriers and monitor performance across different discovery channels.

For businesses considering similar tools, three priorities stand out:

• Establish a baseline: Record organic traffic, impressions, AI citations, referral visits and conversions before making changes.

• Separate metrics: Track AI mentions and citations independently from traditional search performance. A rise in impressions does not automatically translate into more qualified visitors or revenue.

• Validate implementation: Review proposed metadata, schema and content changes before publishing them, and monitor the impact after deployment.

RankNexus.ai reports approximately 400% month-over-month growth across several metrics for DevMarg, but the available announcement does not provide enough detail to attribute that increase to individual platform features or establish how much growth was sustained. The case study is therefore best viewed as an example of a reported outcome, not a guarantee of similar results for other businesses.

Top Insights

• RankNexus.ai says DevMarg recorded approximately 400% month-over-month growth in AI visibility, search impressions and organic traffic following an AEO and GEO program.

• The reported program combined technical SEO corrections, answer-focused content, structured data and monitoring of AI-generated responses.

• The platform offers approved fixes for supported CMS platforms, including WordPress and Shopify, aiming to connect audits with implementation.

• BrightEdge research suggests AI search referrals are growing, but traditional organic search remains important for website discovery and conversion.

• Marketers should measure AI citations, search impressions, referral traffic and conversions separately to assess whether optimization produces sustained business value.

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