Case Study

Increase Organic & AI Visibility

Six months of flat organic growth and no AI search visibility. A 12-month authority campaign delivered top Google rankings and AI search citations.

Campaign Snapshot

B2B Career Development Brand

Campaign context

  • High-ticket service - roughly $10K revenue per client.
  • Competitive space - DA55 to DA75 sites held the top spots.
  • Premium placements - published on high-authority, high-traffic sites.
  • Consistent output - 12 placements published monthly.
Months 12

Authority campaign run over a full year.

Backlinks 144

Contextual backlinks earned through monthly placements.

Avg. Link DA 56.4

Average Moz Domain Authority across placements.

Organic Traffic +257%

Monthly Google organic visits increased from 7,000 to 25,000.

AI Citation Rate 88%

Tracked AI answer prompts referenced the brand by Month 12.

Conversions +174%

Monthly organic conversions increased from 68 to 186.

Client Profile

A B2B provider with untapped organic demand.

The client is a mid-sized B2B provider of bespoke career development services. Their site was well designed, conversion-focused and technically optimised, but they relied mainly on referral partners and PPC before the campaign.

Objective

Lift organic and AI search visibility.

With organic growth flat for six months and no AI search visibility, the campaign was provisioned to lift organic sessions to the sales page by at least 200%, earn consistent AI answer-engine citations and generate more enterprise demo requests.

Strategy

Sustain a monthly authority cadence.

Rank Engine published 12 relevance-matched placements each month, featuring fresh industry insights and contextual brand mentions. High-authority sites with strong traffic and clean link profiles were prioritised, using a 30-day drip-feed schedule.

Research Foundation

Evidence behind the campaign.

Princeton GEO Findings

Aggarwal et al., 2024

Princeton's GEO research found that adding expert quotations, statistics and authoritative citations can materially improve AI-search visibility, with a reported 37% uplift on Perplexity.ai.

SERP Correlation Study

Ahrefs, 2025

Ahrefs analysed one million US keyword SERPs and found referring-domain count still correlates with rankings, with a reported Spearman rho of about 0.255.

Backlinks' Monthly Gain vs. Ranking

Search Engine Land, 2025

Search Engine Land reported that top-ranked pages acquire 5-14% more followed backlinks per month than lower-ranked pages, reinforcing consistent acquisition velocity.

Project Builder Setup

Turn campaign direction into a clear brief.

Rank Engine used the Project Builder to turn monthly campaign planning into one focused setup. Audience filters, content exclusions and Smart Select criteria kept research, content and site selection aligned with the client's positioning.

Mention Type

Branded

The brand was integrated as a real-world example within editorial and thought-leadership articles.

Delivery time

30-day drip-feed

A slower cadence gave high-authority publishers time to accept and publish while Google discovered links week by week.

Regional focus

Primary market context

News, facts, statistics and quotes were focused around the client's area of operations.

Content exclusions

Clear brand positioning

Excluded contexts prevented brand confusion and kept mentions aligned with the client's market.

Backlink targeting

Smart Select™

Relevance, traffic and authority were balanced to support rankings and visibility rather than a DA number alone.

Audience targeting

Global TLD mix

Authoritative .com sites were balanced with niche .us placements where they supported relevance.

Content Production

Build articles that can carry the campaign.

The campaign needed credible editorial articles that could support organic rankings and give AI systems more credible third-party context.

Topic refinement

Submitted topics were expanded with research, industry news and expert commentary.

Autonomous ideation

Where topics were not supplied, Rank Engine identified angles from the client brief and current industry news.

Content drafting

Editorial drafts integrated case studies, data points, expert quotes and the client's core expertise.

Link and media enrichment

Contextual backlinks, relevant imagery and external citations made each article richer and more credible.

Editorial QA

The team verified facts, polished tone and kept brand mentions genuine, not promotional.

Editorial Strategy

The editorial strategy behind the campaign.

The campaign needed articles that could earn attention on publisher sites, reinforce topical relevance and give AI answer systems clearer third-party context about the brand.

01

Problem-led articles

Start with buyer pain

Angles focused on career-growth problems, leadership decisions and enterprise talent challenges where the brand could appear as a relevant example.

02

Market trends

Tie the brand to live demand

Industry change, workplace trends and hiring-market shifts gave the articles timely context beyond a static service description.

03

Expert commentary

Add citable perspective

Quotes, practical viewpoints and experience-led commentary helped the content read like a source, not a generic placement.

04

Comparison topics

Clarify category choices

Comparison-led angles helped readers understand options, tradeoffs and evaluation criteria while keeping the brand mention natural.

05

Informational guides

Build topical association

Guide-style articles supported category relevance around the target pages without making every placement a direct sales story.

Link building strategy

Make each placement support the outcome.

The campaign supported the whole site while concentrating stronger signals around the highest-value commercial pages.

Strategic blog selection

Rank Engine targeted sites where career development, leadership and workplace content naturally belonged, so placements felt authentic to readers.

Backlink distribution

Branded homepage anchors established a natural link pattern and strengthened domain authority. More links were allocated to the primary service page based on keyword competition, with other target pages receiving proportional distribution.

Monthly process

Managed from research to publication.

01

Research & content

AI agents researched industry sources and expert commentary, then drafts were proofread for facts, tone and message fit.

02

Prospecting

Smart Select scored sites for relevance, traffic, backlink health, authority and other ranking factors.

03

Approvals

Content and placement approvals were available when oversight was required.

04

Outreach

Each article was pitched as an insight-driven piece, with the drip-feed window supporting slower high-authority publishers.

05

Publication

Accepted articles published on approved, reputable sites with natural brand mentions and targeted anchor text.

Results

The outcome in measurable terms.

Baseline and Month 12 are monthly totals. Organic Traffic tracks Google Search visits. AI Citation Rate is the percentage of tracked AI search prompts where the brand was referenced. Conversions are monthly organic conversion actions.

KPI Baseline Month 12 Change
Organic Traffic 7,000 per month 25,000 per month +257%
AI Citation Rate 0% 88% +88 pp
Conversions 68 per month 186 per month +174%

Over 12 months, monthly organic traffic increased from 7,000 to 25,000 and monthly conversions rose from 68 to 186. AI visibility shifted from zero tracked citations to being referenced in 88% of tracked AI search prompts.

Key Takeaways

What the campaign proves.

Sustained visibility momentum

Strategic, relevance-led link building delivered a 257% traffic increase and secured Top 3 rankings for key product pages.

AI search visibility surge

The brand moved from absent in AI-generated results to cited in 88% of tracked queries.

Commercial impact delivered

Conversions grew from 68 to 186 per month, proving the traffic was commercially valuable.

Start a Campaign

Build visibility that search and AI systems can cite.

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