Services

AI SEO & GEO Services For B2B, SaaS, EdTech and FinTech

Linkrel is a technical SEO and content practice that builds real, durable Google rankings for fintech, crypto, EdTech and B2B SaaS brands. Because the same signals that win organic search are what ChatGPT, Gemini and Google AI Overviews pull from, AI visibility comes along as a byproduct, not a separate bet.

<!-- linkrelagency.com --> <link rel="seo" href="/organic-growth" /> <link rel="geo" href="/ai-citations" /> <link rel="aeo" href="/answer-engines" /> // crawlable. citable. found.

Why search and AI visibility now run on the same signals

Google AI Overviews, ChatGPT and Perplexity don't have a separate index. They lean on the same crawlability, structure and authority that organic rankings depend on — which is why an SEO-first approach outperforms AI-only tactics.

01.

AI answers pull from ranked pages

Google AI Overviews and AI Mode draw heavily on pages that already rank well organically. Fix the SEO foundation and the AI layer improves with it.

02.

LLMs need to be able to read your site

ChatGPT, Gemini and Claude can only cite what they can crawl and parse. Server-side rendering, clean HTML and schema markup are the entry ticket.

03.

Trust signals decide who gets named

Author entities, reviews, Reddit mentions and consistent citations across the web are what models use to decide which brand to recommend by name.

What Linkrel does

Six focused disciplines, each one a lever for both Google rankings and AI citations. Engagements are scoped around what a single senior specialist can execute well — not padded to look like an agency.

01

Technical SEO & crawlability

The foundation everything else sits on. If Google and AI crawlers can't render and parse your pages fast and cleanly, no amount of content will get you cited.

  • Server-side rendering (SSR) audits so landing pages and key content are visible to search engines and LLMs
  • Site speed optimization: image compression, JS/CSS cleanup, font preloading, Core Web Vitals
  • Sitemap, robots.txt, and indexation cleanup — pruning thin or off-topic pages that dilute topical relevance
  • Internal linking architecture to push authority toward priority pages
02

Generative Engine Optimization (GEO)

Structuring content, entities and off-site presence so ChatGPT, Gemini, Perplexity and Claude find your brand worth citing — not just crawlable, but quotable.

  • Content restructured for information gain: specific numbers, comparisons, and fact-checked claims models can safely lift
  • Brand and entity consistency across the site, Google Business Profile, and third-party profiles
  • Reddit, Quora and community presence — the sources LLMs weight heavily for real-world recommendations
  • Ongoing prompt tracking to see where your brand shows up (and where it drops out) across AI surfaces
03

Answer Engine Optimization (AEO)

Formatting content so it directly answers the questions people ask AI assistants and Google's featured answers — in the shape those systems prefer to extract.

  • FAQ pages written and structured per market and language, with FAQ schema markup
  • Question-led headings and section structure that map to real search and prompt intent
  • Meta titles and descriptions rewritten to match how people actually ask, not just how they type keywords
04

Content strategy & topical authority

Building a content library that owns a topic instead of scattering thin pages across unrelated ones — the structure Google and AI models both reward.

  • Content audits: identifying cannibalized, underperforming or off-topic pages and merging or redirecting them
  • Category and tag architecture with proper metadata, so blogs read as organized hubs rather than loose posts
  • Fact-checked rewrites of AI-drafted content, replacing generic claims with sourced specifics
  • Editorial calendars built around search intent and AI-prompt intent side by side
05

Entity optimization & E-E-A-T

Making it unambiguous to Google and to language models who you are, who wrote your content, and why that person or brand should be trusted.

  • Author bios and credentials wired into Schema.org markup across every article
  • Organization and brand schema, breadcrumbs, and consistent NAP data across the web
  • Review and testimonial structuring to reinforce trust signals models and search engines both check
06

Digital PR & off-page signals

Earning the mentions, backlinks and third-party coverage that both Google's ranking algorithm and AI citation models treat as proof a brand is real and trusted.

  • Targeted backlink placements on relevant, regionally trusted publications
  • Community seeding on Reddit and niche forums where high-intent conversations already happen
  • Contact sourcing and outreach for local and industry media placements
  • Guest contributions on platforms like Medium, LinkedIn and industry blogs

How an engagement runs

Same process whether it's a one-off audit or an ongoing retainer — built around fast, visible movement in the first month.

Step 1

Audit & baseline

Technical crawl, content and entity review, plus a baseline read on where you currently show up across Google and AI surfaces.

Step 2

Prioritized roadmap

A scoped plan ranked by impact and effort — no generic checklist, just the fixes that move your specific site.

Step 3

Execution

Hands-on implementation: technical fixes, content rewrites, schema, internal linking, and off-page outreach.

Step 4

Reporting & iteration

Monthly reporting on organic traffic, rankings, and AI citation appearances, with the roadmap adjusted as results come in.

Results

What this looks like in practice

+44.7%
organic search traffic growth over 3 months for a crypto exchange client
2.4×
increase in search impressions, with clicks up 1.5× over the same period
landing page conversion rate after enabling server-side rendering for search and LLM crawlers
Cited by ChatGPT & Gemini Top 1–2 in Google AI Mode Referenced by third-party industry sites

Ways to work together

Scoped for what one senior specialist can deliver well. Pick a single audit, a fixed-scope project, or an ongoing retainer.

Audit

SEO & AI Visibility Audit

Fixed scope, one-time

  • Full technical, content and entity audit
  • Baseline AI-citation check across ChatGPT, Gemini, Perplexity
  • Prioritized roadmap with quick wins flagged
  • Delivered as a written report + walkthrough call

from $800 one-time

depending on the amount of queries, pages, and assets



Ask about scope
Retainer

Ongoing Growth Retainer

Monthly, scope tiered to budget

  • Continuous technical, content and off-page execution
  • Monthly reporting on traffic, rankings and AI citations
  • Scope adjusted to a realistic solo-specialist workload
  • Best for brands ready to commit to compounding growth

from $2,500/mo

request a free audit to get a custom quote



Discuss a retainer

Frequently asked questions

What's the difference between SEO, GEO and AEO?
SEO grows organic rankings on Google. GEO (Generative Engine Optimization) focuses on getting a brand mentioned and cited inside AI-generated answers on ChatGPT, Gemini, and Perplexity. AEO (Answer Engine Optimization) is about structuring content to directly answer a specific question, for featured snippets and AI answers alike. They overlap heavily and Linkrel treats them as one connected practice rather than three separate services.
Do I need a big content library before this works?
No. Some of the strongest early wins come from fixing what already exists — cleaning up technical issues, restructuring pages, and adding schema — before any new content gets written. New content is added where there's a clear gap, not just to hit a volume target.
How long until we see results?
Technical fixes and indexation cleanup can shift search console metrics within a few weeks. Organic ranking growth typically compounds over 2–4 months. AI citation appearances can move faster for well-established brands and slower for newer ones, since models weight authority and consistency over time.
Can Linkrel work alongside our existing marketing team?
Yes — this is the most common setup. Linkrel plugs into an existing marketing or content team, owning the technical SEO, GEO and entity work while your team continues to own brand voice, paid channels, or other areas.
Why work with a solo specialist instead of a larger agency?
A larger agency spreads a client across junior staff and account managers. Linkrel is one senior specialist with 10+ years of technical SEO experience, meaning every audit, rewrite and outreach placement is done directly by the person who understands the strategy — no handoffs, no diluted execution.
Which industries does Linkrel work with?
Primarily fintech and crypto, EdTech and e-learning, and B2B SaaS — categories where trust signals, regulatory nuance, and technical accuracy matter for both search rankings and AI recommendations.
Milya Kotlyarova
Founder, Head of SEO & AI Search

Linkrel is run by Milya Kotlyarova, a technical SEO specialist with 10+ years of experience across fintech, EdTech and B2B SaaS. The name comes from the HTML <link rel=""> attribute — the quiet piece of markup that tells search engines and browsers how pages relate to each other. It's a fitting name for a practice built on making sure every signal on a site points the right way, for people, for Google, and for AI.

More about Linkrel →

Let's get your site found
by people and by AI

Request an audit:

info@linkrelagency.com