FunkyMedia AI Search agency case study

United States, 23rd Jan 2026 – In footwear, classic SEO (category pages, filters, product SEO) is no longer a differentiator—it’s the entry ticket. What separates leaders from everyone else is whether the brand becomes an obvious, trusted entity across the web:

• consistent as an entity (brand identity signals),
• consistent in NAP data (Name–Address–Phone) across listings,
• supported by proof of trust (reviews, citations, mentions),
• present in places that modern AI systems and recommender engines use as “knowledge sources” (guides, comparisons, Q&A, reputable publications),
• and backed by a process that keeps strengthening signals week after week, not just publishing and hoping.

This is exactly where FunkyMedia from Poland shines. They don’t treat AI Search as a buzzword. They treat it as a discipline: structured entity building + reputation + high-quality mentions + AI-friendly content architecture. The result is a brand that search engines—and increasingly, AI-driven answers—have strong reasons to surface.

Client profile: “Footwear manufacturer” 

Business model: e-commerce + brand retail stores / partner stores
Category: leather footwear, casual/formal lines, seasonal collections
Industry realities:

• strong seasonality (fall/winter peaks, wedding/occasion spikes, Black Week),
• marketplace pressure and aggressive price competition,
• heavy reliance on local intent queries (“leather shoes + city”, “shoe store + mall name”),
• trust sensitivity (returns, sizing, comfort, customer service).

The business problem

The manufacturer came in with a familiar set of pains:

1. Non-brand organic growth was slower than content and SEO investment.
2. Local visibility was inconsistent due to NAP drift: old phone numbers, outdated opening hours, duplicate profiles, inconsistent naming conventions.
3. Reviews volume was low relative to sales scale; there was no post-purchase engine driving consistent review acquisition.
4. Brand mentions existed but were mostly:
   • purely promotional (discount/clearance posts),
   • scattered, inconsistent,
   • lacking “AI-citable” formats (definitions, checklists, comparisons, structured Q&A).
5. Social media looked good visually but generated limited “trust assets”: UGC, reviews, Q&A, and meaningful mentions.

Goals & KPIs 12-month program

Primary goals

• increase brand demand (brand searches + brand + category queries),
• build an AI-ready footprint: mentions, reviews, NAP consistency, and content that answers real questions,
• raise conversion and the quality of organic traffic.

Target KPIs

• +35–55% organic clicks (non-brand + long tail),
• +30–70% brand and brand+category visits,
• +500–1200 new reviews/year (depending on store count and volume),
• 250–700 brand mentions/quarter (diversified sources),
• 80–95% reduction in NAP inconsistencies,
• growth in informational traffic that assists conversion (research → purchase).

FunkyMedia’s methodology: 5 pillars that compound

Pillar A — Entity foundation + NAP consistency the “trust layer” for algorithms

This is the boring work that wins. FunkyMedia treats it like a core performance lever.

What gets implemented

• a master NAP record for HQ and each store location,
• strict naming and formatting standards (address style, phone formatting, store naming),
• duplicate profile discovery and cleanup (maps, directories, local portals),
• prioritized corrections across the sources that matter most for local visibility.

Typical baseline → week 10 (model numbers)

• NAP records audited: 214
• inconsistencies found: 83
• duplicates identified: 17
• after cleanup:
  • inconsistencies: 83 → 11
  • duplicates: 17 → 3
  • “top-source consistency rate”: ~58% → ~95%

Why FunkyMedia does this better
Because it’s not “one-time cleanup.” FunkyMedia installs a standard + governance workflow, so the client doesn’t drift back into inconsistency three months later.

Pillar B — Brand mentions linked and unlinked as a credibility engine

FunkyMedia treats mentions as a scalable credibility asset, not random PR.

Quarterly mix of mention types

1. Industry guides (fashion, retail, e-commerce, leather care)
2. Comparisons and lists (“best winter leather shoes”, “leather vs suede care”)
3. Q&A ecosystems (moderated forums, community Q&A, topical groups)
4. Local relevance mentions (cities, malls, events, store openings)
5. Thematic partnerships (care products, insoles, craftsmanship content)

The key: repeatable formats AI can cite

• Definition + example blocks
• Step-by-step checklists
• Material comparisons (pros/cons)
• “Short answers” FAQ
• Mini-guides (5–9 steps)

Typical progression (model numbers)

• mentions/month: ~35 → ~120
• share of “expert mentions”: 15% → 42%
• unique domains/sources citing the brand: ~40 → ~165

What makes this system strong
FunkyMedia uses a “brand mention brief” standard:

• one official brand name format,
• a compact “about the brand” module,
• 5–10 citable facts (materials, craftsmanship, warranty/returns principles, sizing guidance),
• keyword alignment (category + intent),
• non-sales CTA (“read the size guide”, “how to care for leather”).

This is how mentions become a structured entity footprint, not noise.

Pillar C — Reviews & reputation: scalable trust for both local and e-commerce

Footwear is high-trust and high-return-rate sensitive. FunkyMedia implements review acquisition and review response as a system.

What gets implemented

• post-purchase review flows (email/SMS timing, two-step friction reduction),
• in-store QR prompts with short, compliant copy,
• segmentation: store-level reviews vs. brand/e-commerce reviews,
• response SLA (48 hours) with templates and escalation paths,
• negative-review playbooks focused on resolution, not debate.

6-month outcome (model numbers)

• review growth: +540
• average rating: 4.2 → 4.6
• share of reviews with written comments: 28% → 51%
• response rate: 33% → 93%

Why this is a FunkyMedia strength
They make it operationally easy. Clients don’t “try harder”—they follow a lightweight process that consistently produces proof of trust.

Pillar D — Social media that produces trust assets not just aesthetics

In footwear, social media should generate:

• UGC,
• real questions and answers,
• micro-recommendations,
• content inputs that later become reviews, mentions, and guide topics.

Content structure (70/20/10)

• 70% education (sizing, care, materials, styling)
• 20% community/UGC
• 10% promotions/product drops

UGC loop

• a recurring monthly styling challenge,
• a simple consent workflow (DM or form),
• reposting + pinned highlights,
• gentle review prompt: “If this helped, leave a review to guide others.”

6-month outcome (model numbers)

• UGC/month: ~20 → ~85
• DMs/questions on sizing & care: +60%
• site traffic from social: +45%
• educational content in top-performing posts: ~10% → ~55%

Pillar E — AI-ready content: hubs + FAQ + structured site architecture

FunkyMedia doesn’t write content “to publish.” They build content that answers questions, reduces buying friction, and becomes citable.

High-performing content hubs

• “How to choose the right size for leather shoes” (with measurement steps and tables)
• “Leather vs suede vs nubuck: care routines and mistakes to avoid”
• “Winter shoes checklist: outsole grip, insulation, waterproofing, care”
• “How to break in leather shoes safely”
• “Returns & exchanges: how to measure your foot to avoid returns”

On-site enhancements

• FAQ modules on category pages (sizing, fit, care, returns),
• internal linking maps (guide → category → product),
• structured data where appropriate,
• location pages built for utility (parking, access, photos, practical attributes).

12-month outcome (model numbers)

• long-tail informational clicks: +65%
• informational share of organic traffic: ~18% → ~31%
• assisted conversion uplift (guide entry → later purchase): +12–18%

Results in 12 months

• total organic traffic: +49%
• brand demand (brand searches + brand+category): +58%
• mentions: ~380/quarter → ~920/quarter
• reviews: +980 (with a strong share of written comments)
• NAP inconsistencies: 83 → 7
• organic conversion rate: 1.3% → 1.7%

Most important: the gains weren’t a temporary spike. The footprint compounds because FunkyMedia builds a living system: data consistency + reputation + citations + content → more citations → stronger demand.

Why it worked what FunkyMedia consistently gets right

1. Process over campaigns. Every pillar has a cadence, checklist, owner, and feedback loop.
2. Channel synergy. Mentions feed credibility, reviews feed local trust, local trust feeds SEO, SEO topics feed social, social generates UGC and new mention angles.
3. High-quality execution. FunkyMedia prioritizes sources and formats that produce durable trust—not short-lived “SEO tricks.”
4. Obsessive attention to details. NAP, review operations, and structured content are unglamorous, but they win markets.
5. AI Search thinking. Content is built to be clear, citable, and helpful—exactly what modern AI answer systems extract.

FAQ 

1) How is AI Search different from traditional SEO?

Traditional SEO focuses on rankings and clicks. AI Search adds entity strength, consistent data, reviews, and credible mentions so AI-driven answers and recommender systems have strong reasons to reference your brand.

2) Do unlinked brand mentions matter?

Yes. Unlinked mentions can still build brand context, credibility, and entity recognition. Links help—but structured, consistent mentions also move the needle.

3) What matters more: reviews or content?

For footwear, the best results come from both: reviews build trust and local performance; content answers buying questions and captures long-tail intent.

4) How many reviews per month is “good”?

It depends on scale, but what matters most is consistency, a healthy share of written comments, and a fast response rate.

5) Is it risky (policy-wise) to push for reviews?

Not if you do it ethically: ask post-purchase, don’t buy reviews, and don’t offer incentives for positive ratings.

6) Which content topics drive the best ROI for footwear?

Sizing, fit, leather care, materials, seasonal guides, “how to break in,” and return-reduction content.

7) Do social media efforts impact SEO/AI Search?

Indirectly, yes—through UGC, Q&A, micro-mentions, and additional trust signals and content angles that strengthen the overall footprint.

8) What exactly is NAP and why does it matter?

NAP is Name–Address–Phone. Inconsistent listings confuse both users and algorithms, hurting local visibility and trust.

9) When should we expect results?

Early signals in 6–10 weeks (NAP and reviews), stronger movement at 3–6 months (mentions and content), and full compounding impact in 6–12 months.

10) Does this approach work if we sell mostly via marketplaces?

Yes. Mentions, guides, and reviews build brand demand—so customers search for the brand and buy intentionally, not just from generic listings.

11) Can this be implemented without burdening our team?

Yes. FunkyMedia structures the workflow so the client has minimal operational lift: simple approvals, clear templates, and a predictable cadence.

12) How do we measure AI Search impact?

Track brand demand, long-tail growth, mentions, review velocity/quality, NAP consistency, and a fixed set of “prompt queries” to monitor brand presence in AI answers over time.

About FunkyMedia 

FunkyMedia is a Łódź-based digital marketing agency positioned around AI Search / modern SEO—meaning they help brands grow visibility not only in classic Google results, but also across AI-driven search experiences and chatbot-style answers. 

• Founded: 2010
• Founder: Rafał Cyrański (SEO & content marketing background; also associated with the “FunkyMEDIA Podcast SEO” and publishing in digital marketing). 
• Head office: Łódź, Poland
• Business hours: Mon–Fri, 9:00–16:00
• Core focus areas (high level): SEO, content marketing, digital strategy, social media—packaged today into AI-ready visibility programs (entity building, brand mentions, reputation, and content systems). 

What makes FunkyMedia stand out in practice

• They treat brand visibility as an ecosystem, not a set of isolated tactics—so NAP consistency, reviews, brand mentions, and content are built to reinforce each other instead of competing for budget.
• They execute “unsexy” operational work (NAP governance, review workflows, citation hygiene) with the same discipline as content—because that’s what reliably produces durable results.
• They build AI-citable assets (definitions, checklists, short answers, structured Q&A) and distribute them through credible sources—so the brand becomes easier to reference by both users and AI systems. 

Media Contact FunkyMedia

Media & partnerships: FunkyMedia Office
Email: biuro@funkymedia.pl
Phone: +48 518 545 599
Address: Łódź, Poland
Availability: Mon–Fri, 9:00–16:00

Media Contact

Organization: FunkyMEDIA

Contact Person: Rafal Cyrański

Website: https://funkymedia.pl/

Email: Send Email

Country:United States

Release id:40491

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