If you're evaluating whether to bring in outside help for search and AI-answer-engine visibility, you've probably already had most of these conversations internally — with your CMS team, your compliance office, or your own skepticism. Below are direct answers, not reassurance. Where we have real numbers, we've used them. Where we don't, we say so.
"How is this different from a generic SEO agency?"
Most SEO agencies sell the same playbook to a law firm, a mattress company, and a university, because keyword research, backlinks, and technical audits look similar on the surface regardless of industry. That approach breaks down fast in academic and research contexts, where the audience is searching with domain-specific intent (grant compliance language, IRB terminology, discipline-specific jargon), where credibility signals matter more than volume, and where the content has to survive scrutiny from faculty, communications leadership, and sometimes legal or research-integrity review before it publishes.
We don't ask you to take that distinction on faith. In a single continuous content cycle, we researched, wrote, fact-checked, and published 357 new content pages on casrai.org — each one individually verified against live search demand before drafting, spanning the US, UK, Canada, and Australia. That cycle is currently producing 71,465 organic Google search clicks and 12,789,147 impressions in a trailing 28-day window, at an average site-wide position of 7.8. Our own page on this exact topic, /guides/academic-search-engine-optimization-aseo, ranks #3.3 for the query "academic seo" with an 11% click-through rate — well above typical CTR at that position. We also hold multiple #1 Google rankings on high-intent buyer and trust queries achieved through this same content methodology. This is the same process we'd apply to your institution's content, not a pitch-deck version of it.
"We already have a marketing team — why do we need this?"
Your marketing team almost certainly knows your institution, your audience, and your brand voice better than any outside partner ever will, and none of what follows is a case against that team. The gap is usually specialized capacity: technical SEO for academic content (structured data for scholarly indexing, Highwire/PRISM tagging, Google Scholar inclusion), systematic keyword research grounded in actual institutional search demand rather than guesswork, and — increasingly — an entirely new discipline (GEO) that most in-house marketing teams haven't built tooling or workflows for yet, because it barely existed eighteen months ago.
We work alongside existing teams as a specialist extension, not a replacement — supplying the research, technical structure, and AI-citation auditing your team may not have the bandwidth or tooling to build internally, while your team retains ownership of voice, approval, and priorities.
"How long until we see results?"
Be wary of anyone who gives you a fixed number of weeks without knowing your domain authority, your CMS constraints, or your current indexing status — those variables move the timeline more than any methodology does. What we can tell you honestly: our own 357-page cycle was continuous, not a one-time sprint, and the click and impression numbers above reflect an ongoing content operation, not a single launch spike. Search visibility compounds — pages published earlier in a cycle typically outperform pages published later, simply because they've had more time to be crawled, indexed, and to accumulate internal link equity. GEO citation gains can appear faster than traditional ranking gains in some cases, because AI answer engines re-crawl and re-synthesize sources more frequently than Google re-ranks a page — but that cuts both ways, and citation status can also change faster. We'll give you a realistic range once we've audited your site's current indexing health and domain history, not before.
"Do you understand our specific compliance, IRB, or accreditation constraints?"
We work with content on the CASRAI site itself in this exact domain — research administration, compliance, and reference material used by research offices — so we're not learning research-administration vocabulary from scratch. That said, every institution's IRB language, accreditation body relationships, and internal review process is specific to that institution, and we don't claim otherwise. Our process is built to route through your existing compliance and legal review before anything publishes: we produce the research and drafts, your team retains sign-off. We are not asking you to bypass any review process you already have in place — the audit we're offering doesn't touch published content at all, so there's nothing for compliance to review until you decide to move forward.
"What does GEO actually mean for us in practice?"
Generative Engine Optimization is the discipline of structuring content so that ChatGPT, Google AI Overviews, and Perplexity cite your institution as a source when someone asks an AI assistant a question your institution should be the authority on — a prospective student asking about a program, a journalist asking about a research area, a funder asking about compliance track record. In practice, that means two things: content structure work (clear, well-sourced, citation-friendly writing that AI systems can extract and attribute cleanly) and AI-citation auditing — checking, with real LLM-citation-tracking data rather than guesswork, whether your institution is currently being cited on the questions that matter to you, and if not, who is being cited instead. That auditing capability is hands-on and applied on our end, not theoretical; it's how we'd start any engagement, including the free audit below.
"Can you work alongside our existing website and CMS?"
Yes. The work is largely content and structure — page copy, metadata, structured data markup, internal linking — delivered in a format your existing CMS and web team can implement, whether that's WordPress, Drupal, a custom system, or something else entirely. We're not proposing a platform migration or a CMS replacement as a precondition for this work.
"What if AI search changes traffic differently than you expect?"
Fair concern, and worth saying plainly: nobody, including us, has multi-year historical data on how AI answer engines will evolve, because the category is too new. What we can tell you is that this is exactly why we treat traditional SEO and GEO as two tracked, separately-measured tracks rather than one blended promise — traditional organic search (our 71,465-click, 12.8M-impression baseline) isn't going away even as AI answer surfaces grow, and the AI-citation auditing work gives you a concrete, checkable signal (are you cited, or not, on specific queries) rather than a speculative bet on where the category ends up. We report on both tracks separately so you can see which is moving and adjust, instead of relying on a single aggregate number that could mask an underlying shift.
What the free audit actually covers
Before any commitment, we'll run an Academic SEO + GEO Visibility Audit against your institution's actual site: current organic search position and indexing health, structured-data and academic-metadata gaps, and an AI-citation check showing whether your institution is currently being cited by ChatGPT, Google AI Overviews, and Perplexity on the queries that matter to you — using the same real LLM-citation-tracking data referenced above, not a template report. Pricing for ongoing engagement work is quoted individually per institution based on scope and content footprint; the audit itself is free and comes with no obligation to continue.
