GEO Lens by Strativera

Your next customer may never see a search results page. They ask ChatGPT for a shortlist, ask Claude to compare vendors, or ask Perplexity for a recommendation, and the answer they get depends on whether AI systems can find, read, trust, and cite your website. GEO Lens tells you exactly where you stand, in one click, on any page. GEO Lens is a generative engine optimization (GEO) and AI visibility inspector built by Strativera, a B2B growth agency rated 5.0 across Google, Clutch, and GoodFirms. Open any page, click the icon, and get a weighted GEO Score, a pillar-by-pillar breakdown, your three highest-impact fixes, and a clean report you can copy straight into an email, a slide, or a client deck. WHAT IT CHECKS GEO Lens scans the active page across four pillars and rolls them into one score. PILLAR 1: AI ACCESS (30% of the score) The first question of AI visibility is brutally simple: can AI systems even fetch your content? GEO Lens reads the site's robots.txt and evaluates access for 14 tracked AI agents, each labeled by vendor and purpose: • GPTBot, OAI-SearchBot, and ChatGPT-User (OpenAI) • ClaudeBot, Claude-SearchBot, and Claude-User (Anthropic) • PerplexityBot and Perplexity-User (Perplexity) • Google-Extended (Google) and Applebot-Extended (Apple), shown as the robots.txt control tokens they are • CCBot (Common Crawl), meta-externalagent (Meta), Bytespider (ByteDance), and Amazonbot (Amazon) Every agent gets a clear status: allowed, partial, blocked, or unspecified. The parser follows RFC 9309 conventions, merges duplicate user-agent groups the way real crawlers do, and never guesses: rules with complex wildcards are flagged for manual review instead of being silently scored. GEO Lens also checks whether llms.txt and llms-full.txt exist at the site root, whether a sitemap is declared in robots.txt, and whether the page carries a noindex directive. Soft 404s, the error pages that pretend to be files, are detected and treated as missing. PILLAR 2: STRUCTURED DATA (25%) AI systems and search engines lean on structured data to understand what a page is and who is behind it. GEO Lens inventories every JSON-LD block on the page, counts parse errors, and checks for the entity types that matter: Organization or LocalBusiness, WebSite, a page-level entity such as WebPage, Article, Product, Service, or FAQPage, and BreadcrumbList. If the page publishes an Article, it verifies the author and datePublished properties that separate credible content from anonymous content. PILLAR 3: E-E-A-T SIGNALS (25%) Experience, expertise, authoritativeness, and trust are how both Google and AI answer engines decide whose content deserves to be cited. GEO Lens looks for a detectable author byline (and tells you which source it found: schema, meta tag, or on-page markup), published and modified dates, links to About, Contact, and Privacy pages, HTTPS, and external citations inside the main content. Detection is heuristic, and the extension says so honestly: a missed signal is a prompt to check, not proof of absence. PILLAR 4: ON-PAGE FOUNDATIONS (20%) The classic fundamentals still carry the load: title tag presence and length, meta description presence and length, a self-referencing canonical, exactly one H1, a clean heading outline, Open Graph title and image, Twitter card, image alt text coverage, page language attribute, and content depth. Length targets are labeled as what they are, conventional guidance rather than confirmed ranking rules. THE OUTPUT • A GEO Score from 0 to 100 with a plain-language grade: Strong, Solid, Gaps, or At Risk • Sub-scores for each pillar, with every individual check shown as pass, warn, fail, or info • The full AI agent access table • Top fixes: the three failed checks worth the most points, phrased as actions, so you always know what to do first • Copy report: one click produces a clean, plain-text summary formatted to paste directly into an email or document, ready for a prospect, a client, a boss, or a developer ticket HOW TO USE IT 1. Open any page you care about: your homepage, a service page, a blog post, or a competitor. 2. Click the GEO Lens icon. The scan runs instantly and entirely in your browser. 3. Read the score, expand the pillars, apply the top fixes, then rescan to watch the score move. Run it on your own site to find gaps. Run it on competitors to find their weaknesses. Run it before and after a site migration to make sure nothing broke. Run it in a sales conversation to show, not tell. WHO IT IS FOR • Marketing leaders who keep hearing about AI search and want a concrete read on where their site stands • SEO and content teams adding GEO, AEO, and AI SEO to their playbook • Agencies and consultants who need a fast, credible audit artifact for prospects and clients • Founders and owners who want a five-second answer to "can ChatGPT actually see my website?" • Developers verifying robots.txt, llms.txt, schema markup, and metadata after deployments PRIVACY: EVERYTHING RUNS IN YOUR BROWSER GEO Lens collects nothing. No analytics, no telemetry, no accounts, no cookies, no browsing history, and no data stored anywhere. All analysis runs locally on your machine. The only network requests the extension ever makes go to the website you choose to scan, to read its public robots.txt and llms.txt files, the same files anyone can open in a browser tab. The permission list is deliberately minimal. The activeTab permission means GEO Lens can only read the page you explicitly scan, at the moment you click. The scripting permission is what injects the read-only collector into that page. There are no host permissions, no background surveillance, and no remote code. When you are not clicking the icon, the extension is doing nothing at all. HONEST SCORING, BY DESIGN The GEO Score is the Strativera GEO Lens rubric v1, an editorial heuristic our team uses to prioritize work, not an industry-standard metric, and the interface says so on every scan. Where the…