July 14, 2025 | Blog
SEO isn’t what it used to be: Why portcos must rethink their strategy for an AI-first world
AI is doing more than changing how buyers search. It’s redefining which vendors they trust. If your portfolio’s brand signals aren’t visible in AI interfaces, buyers won’t find you and your pipeline loses deals without ever knowing.
Classic SEO and search strategies can’t fix an AI citation gap
SEO still plays a role, but the signals that shape visibility have changed.
Nearly 90% of B2B buyers now use generative AI tools during research, and 84% buy from the first vendor they contact. Meanwhile, traffic from AI “answer engines” is growing 165x faster than traditional organic search.
Google rankings favor backlinks and keywords. Large language models like ChatGPT, Gemini, and Claude reward clarity, trust, and citation presence while:
- Keyword rank tracking misses the point when buyers get direct answers, not search result pages
- Backlink volume alone can’t sway large language models that weigh Reddit, Wikipedia, and domain authority as proof sources
- Technical tweaks such as robots.txt and sitemaps help, yet AI crawlers now look for llms.txt, structured Q&A, and schema geared toward answer extraction
- Gated whitepapers frustrate both models and buyers because AI cannot parse or cite them easily
Bottom line: Traditional SEO audits miss the signals that drive modern visibility. That’s where deals disappear.
A purpose-built scoring model for modern discovery
To quantify the risk, 2X created GravityScan™, a 200-point AI Visibility Audit. Instead of standard (or “well-known”) SEO factors, the audit categorizes 200 data points into six practical lenses that map to how large language models decide which brands to cite:
| GravityScan™ lens | What it measures and why it matters |
| Content structure and quality | Clear hierarchy, authoritative depth, and formats (headings, Q&A blocks) that LLMs can parse and trust. |
| Technical AI accessibility | Implementation of llms.txt, rich schema, fast performance, and other crawl signals that let AI engines ingest (and not skip) your assets. |
| Platform-specific citation | Proof that ChatGPT, Gemini, Perplexity, and key community forums already mention (or ignore) your brand. |
| B2B review-site and media authority | Third-party proof points like G2, Gartner, and trade press that boost credibility inside answer engines. |
| Multi-platform distribution | Syndication, social reach, and republishing that keep your expertise circulating where models scrape fresh data. |
| Query-intent alignment | Checks whether your content addresses the exact comparisons, objections, and decision-support questions real buyers pose in AI prompts. |
This framework is based on platform-specific ranking factors, early uplift patterns, and multi-model testing across real-world B2B use cases. Most companies start with an overall score of 40–80; early movers that cross 160+ begin to dominate AI-generated answers, creating a moat of visibility that’s hard for slower competitors to overcome.
First moves that show results in a single quarter
Operating partners don’t need another long-tail content project. You need to show fast progress without adding overhead. That’s why our top audit recommendations focus on speed-to-impact. Here are a few examples from our clients’ results so far:
| Within 30 Days | Within 90 Days |
| Publish llms.txt to guide AI crawlers. | Launch a Reddit engagement program to seed authoritative discussions. |
| Add FAQ schema to top-performing pages. | Release original research to earn high-trust citations across answer engines. |
| Convert key assets into structured Q&A blocks. | Connect AI, social, and traditional search metrics in one attribution model. |
These recommendations mirror the Immediate Actions our audit flags as “high impact, low effort,” ensuring your portfolio companies see momentum without expensive resource increases.
Measure before you optimize: GravityScan™
Most SEO audits look at 50–100 outdated metrics. GravityScan™ reviews all 200 signals that govern AI visibility, then delivers:
- A board-ready scorecard benchmarking performance across peer sets
- A narrative report that explains root causes and quantifies upside
- A technical toolkit with editable llms.txt and schema templates
This combination lets operating partners move from holistic insight to implementation without waiting for a siloed roadmap. Because search is being rewritten in real time, knowing (and closing) AI visibility gaps now determines who shows up when buyers ask their next question aloud.
See what AI engines see before your competitors do
Reserve a GravityScan™ and gain the clarity to accelerate value creation.