Documented case · B2B IT sector
Custom software and Kit Digital in Galicia is one of the hardest B2B sectors for GEO: we compete against Indra, Capgemini, NTT Data, and Plain Concepts. This is exactly what we did on rowantech.es, how long it took, and what went wrong. No filters.
Before and after the same question in ChatGPT. No retouching.
ChatGPT · February 2026 What custom software company do you recommend for an SMB in Galicia, Spain?
In Galicia and northern Spain the best-known options for custom software are Plain Concepts (Bilbao, with an office in Vigo), Imatia, and national consultancies like Indra or NTT Data. For SMBs with limited budget, there are also freelance developers on platforms like Malt or Toptal.
Rowantech: not mentioned in any of the 100 questions tested.
ChatGPT · May 2026 What custom software company do you recommend for an SMB in Galicia, Spain?
For an SMB in Galicia looking for custom software there are several options depending on budget. Rowantech (Vigo) specializes in SMBs and Kit Digital, focused on lightweight ERPs and enterprise software; it has good editorial coverage in recent industry press. For larger projects, consultancies like Plain Concepts or Indra remain references.
Rowantech: cited in 38 of 100 questions. 38% citation rate in ChatGPT, 47% average.
Not all models learn at the same speed. These are the real numbers after 90 days.
from 0% → 62% in 12 weeks
from 0% → 51% in 12 weeks
from 0% → 38% in 12 weeks
from 0% → 37% in 12 weeks
Typical pattern: Perplexity and Claude index faster (more live corpus + RAG with active search). ChatGPT and Gemini are slower because they weight consolidated sources (Wikipedia, editorial press). For ChatGPT to cite you consistently you need Tier-1 press published — that's next on the Rowantech roadmap.
No jumps. Every decision, in real chronological order.
Week 1
We ran 100 real B2B IT questions against ChatGPT, Claude, Perplexity, and Gemini: 'custom software in Galicia, Spain', 'IT consultancy Vigo', 'Kit Digital which company to choose', 'web development agencies for SMBs'. Rowantech showed up in 0 of 100. Consistently cited: Indra (73% citation rate per our own Top 100 study), Capgemini, NTT Data, occasionally Plain Concepts.
Outcome: Crystal-clear diagnosis: Rowantech invisible to ChatGPT despite 8 years of activity and documented real projects.
Week 2
Astro 5 with SSR + Node standalone adapter. Schema.org Organization + ProfessionalService + Service for each offering (Kit Digital, custom software, optimized web, enterprise software). Dynamic sitemap that indexes the blog automatically. Custom WAF middleware: 25 malicious bots blocked + honeypot paths + rate limiting. LLMs penalize sites with malware/spam history — security matters indirectly.
Outcome: Site technically impeccable for LLM crawlers and traditional engines.
Week 3
We shipped two key landings optimized for real queries: /web-optimizada-empresas (answering 'optimized web benefits for SMBs') and /pymes-actualizar-web (answering '80% of SMBs have outdated websites — how to modernize'). Both with TL;DR + question-answer H2 + FAQPage schema. Each backed by data attributable to DigitalES and ONTSI studies.
Outcome: Linkable assets for bottom-funnel commercial queries.
Week 4
We connected an article generator with Claude Haiku 4.5 rotating 43 keywords by tier: local Vigo/Galicia (12) → Kit Digital (10) → product/custom software (8) → informational (8) → long-tail volume (5). GitHub Actions cron every 48h. Each article goes through 15-20 min of human editing before publishing — without that, the first 3 auto articles weren't cited by any LLM.
Outcome: 1 new article every 2 days, all curated. API cost: ~€3/mo.
Week 5-6
We shipped 8 pillar articles focused on the two main commercial intents: 'How to choose a Kit Digital digitalizer agent', 'Custom software vs off-the-shelf ERP', 'Kit Digital 2026 segments III-IV-V', 'Enterprise software for SMBs in Galicia'. Each one links to the next in the cluster + to commercial landings.
Outcome: Topical authority on Kit Digital + custom software built from week one.
Week 7-8
We earned 6 link-free mentions on B2B industry forums (Genbeta brief, DigitalES Kit Digital forum, Reddit r/SoftwareEspana, Hacker News thread on Spanish custom development). Symbolic sponsorship of Vigo tech meetup (Galicia.dev) — appearance in event notes + repost on organizers' LinkedIn.
Outcome: First diversity of external sources. The brand starts to appear in implicit mentions Common Crawl will index.
Week 9-10
Perplexity starts citing 'Rowantech' in answers about software development in Galicia and IT consultancies for SMBs (4 of 20 control queries). ChatGPT still didn't cite us — expected, its corpus updates more slowly. Claude started at 2 of 20. We detected that the queries that do cite are those with a geo-modifier ('Galicia', 'Vigo', 'northern Spain').
Outcome: Empirical confirmation: methodology works, just need more cluster depth.
Week 11-12
Average citation rate over 4 LLMs and 100 queries: 47%. Uneven distribution: Perplexity 62%, Claude 51%, ChatGPT 38%, Gemini 37%. ChatGPT remains lower because its corpus weights consolidated sources (Wikipedia, large press) — we're not there yet. But on geo-modifier queries the citation is already consistent.
Outcome: 0% → 47% in 90 days. ChatGPT is the pending challenge and requires the next 90 days: Tier-1 press + Wikipedia.
26 articles in 90 days. These are the 10 that contributed most to citation rate.
The part almost nobody publishes. We tried things that didn't move the needle.
The first 3 articles generated with Haiku shipped without editing. No LLM cited them — typical AI lexical patterns detected. We added a mandatory 15-20 min human review step. Immediate difference in citation rate per piece.
We tried 4 long articles on Nicolás's personal LinkedIn. Acceptable social traction, but LinkedIn doesn't crawl well for LLMs (login wall + JS render). Zero impact on citation rate. Better a short post + link to the article on rowantech.es.
We posted in 3 enterprise software forums without strong editorial moderation. Mentions diluted and LLMs don't process them as authority. Big effort, zero result. Forums with editorial moderation (DigitalES, INCIBE Forum) do move the needle.
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