AI has changed how people discover, evaluate, and choose brands. The decision journey now runs through LLMs like ChatGPT and Gemini, answer engines like Perplexity, and traditional search—often all in the same buying cycle.
That’s why “ranking” isn’t the finish line anymore.
If you want to consistently show up in AI-generated answers (and be cited as a source), you need three things working together:
- Authority on the topics your buyers care about
- Credibility backed by third-party validation
- Structured signals that make your content safe and easy for machines to interpret and reference (Relevance)
That combined outcome is what we mean by AI visibility—and it’s what Relevance is built to deliver.
What GEO, AEO, and AI visibility actually mean
Generative Engine Optimization (GEO)
GEO is the practice of increasing your brand’s presence in generative search experiences—places where the “results” are synthesized answers instead of ten blue links. The goal isn’t only traffic; it’s to make your brand the most referenceable option when AI systems assemble a response.
Answer Engine Optimization (AEO)
AEO focuses on winning visibility in answer engines and AI-assisted search interfaces by structuring content around questions, definitions, comparisons, and how-tos—so the engine can confidently extract and cite your answer.
AI visibility
AI visibility is your brand’s presence and reliability inside AI systems and answer engines, combining authority, credibility, and technical readiness/structured content.
If any one of those is missing, you get the modern version of “invisible”:
- You might have great content… but no third-party proof.
- You might have PR… but nothing on-site that supports (or “grounds”) your claims.
- You might have clean SEO… but not enough depth, clarity, or structure for AI to cite.
Why Relevance is different: we unify PR + SEO + content around AI visibility
Most agencies still treat PR, SEO, and content as separate workstreams—which creates gaps in the AI era.
Relevance was built to close those gaps by aligning all three around one goal: becoming the brand humans trust and AI systems cite.
Here’s what that looks like in practice.
1) GEO & AEO strategy that starts with buyer questions (and ends in citations)
We design content to be helpful to humans and unambiguous to machines, using topic + entity modeling to map the universe of questions your buyers ask. Then we produce structured formats—FAQs, definitions, comparisons, and how-tos—to reduce ambiguity and increase citation-likelihood.
This is the heart of AEO:
- Clear answers
- Clear entities (who/what the page is about)
- Clear relationships (how concepts connect)
- Clear “why trust this” signals (sources, authorship, validation)
2) PR that fuels AI visibility (not just awareness)
Awareness only matters if it’s referenceable.
Relevance prioritizes PR formats and outlets that AI systems already tend to trust—like executive commentary, data-led stories, and credible bylines—so your expertise exists in sources that can be parsed and cited.
And crucially: we don’t treat PR as a separate “brand play.”
We connect it directly to:
- Your topic model
- Your on-site proof points
- The claims AI should be able to repeat (and cite)
- The prompts that matter to your pipeline
3) Technical + structured content that makes your site machine-readable
Great ideas don’t travel if machines can’t interpret them.
We make your content easy to extract, verify, and cite by strengthening:
- Schema and structured data coverage
- Internal linking and information architecture
- Authorship and entity clarity
- Patterns that improve parseability and reduce misinterpretation (Relevance)
This is where GEO becomes real: you’re not only publishing—you’re building a knowledge footprint that AI can reliably use.
4) Measurement that ties visibility to revenue
“AI visibility” can’t be vibes.
Relevance measures the fundamentals (rankings, citations, share of voice, topical authority, link quality, organic conversions, site health) and ties them to business outcomes like demo requests, pipeline value, win rate, CAC/LTV, and payback.
So you can answer:
- What improved?
- Why did it improve?
- Did it create qualified demand?
What results look like when PR + GEO + AEO compound
When PR and structured content reinforce each other, performance compounds.
Relevance highlights outcomes like:
- A telehealth brand driving +119% organic conversions and 8× traffic growth over 36 months (including 1,400+ #1 rankings) (Relevance)
- A consumer tech company achieving +613% organic conversions, 8× traffic growth, and +1,707% more top-10 rankings in 24 months (Relevance)
- A wellness CPG brand seeing +300% organic traffic and +500% organic conversions through structured content + PR-backed authority building (Relevance)
- Documented cases where targeted PR placements surfaced as citations in AI answers for priority prompts (Relevance)
What an engagement with Relevance typically includes
Depending on your category and goals, engagements often include:
- AI Visibility & Content (GEO/AEO): topic modeling, content strategy, structured production, entity + author setup
- PR & Media: targeted outreach, expert commentary, data stories, bylines, and source development
- Technical SEO: site health, indexation, internal linking, CWV, structured data
- Analytics & Reporting: dashboards that connect citations + rankings to pipeline and revenue
If you want to be easy to find, safe to cite, and simple to choose
AI systems reward clarity, consistency, and credible sourcing. Brands that produce structured, sourceable content and earn third-party validation are easier for AI to trust—and easier for buyers to choose.
That’s the lane Relevance owns.
