Turning browser-automated AI into a 60-day ranking weapon — according to one of the world’s top-ranked SEO experts

In late January 2026, Sarvesh Shrivastava — Favikon-ranked #1 SEO professional worldwide, TEDx speaker, and founder of Alventra Marketing — published a viral X thread that caught serious attention in the SEO community. The core claim was bold:

“I CAN OUTRANK YOUR LOCAL BUSINESS IN 60 DAYS WITH JUST CLAUDE COWORK.”

He then laid out a six-step playbook using Claude Cowork, an AI tool that combines Anthropic’s Claude model with real browser automation, allowing it to open Chrome, visit websites, scroll Google Business Profiles, inspect the page source, and even interact with tools like Ahrefs.

The thread quickly gained traction: nearly 900 likes, almost 100 reposts, over 2,800 bookmarks, and 145k+ views in under 24 hours. Email marketing expert Chase Dimond called the approach “such a cheat code,” while others asked the obvious follow-up question: “Have you actually done it?”

Below is a detailed breakdown of Sarvesh’s exact six-prompt strategy, why each step matters for local SEO right now, realistic expectations in the post-2025 Helpful Content / E-E-A-T era, and practical notes on execution.

1. Business & Competitor Intelligence Gathering (The Foundation Prompt)

Prompt Sarvesh uses:

“Open Chrome, visit my site {{MY_WEBSITE_URL}} and extract my business name, address, services, cities served and key selling points, then open these competitors {{COMP1}}, {{COMP2}}, {{COMP3}} and extract their services, target locations, strengths and trust signals, compare me vs them.”

Why this works in 2026

Modern local pack rankings heavily weigh entity understanding + comparative strength signals. Claude Cowork reads your actual homepage, NAP (Name-Address-Phone), service pages, and about section — then does the same for competitors — giving you a side-by-side gap analysis in minutes instead of hours.

Realistic impact

You instantly see missing cities, weaker trust signals (reviews, years in business, certifications), and service overlaps you can exploit.

2. Google Business Profile (GBP) Content Domination

Prompt:

“Analyze these [XYZ.com] competitor GBP posts by opening their GBP in Chrome. Identify their keyword gaps, then write 10 high-impact posts for my business in [City] that include local landmarks and a hard ‘Call Now’ CTA.”

Why it matters

Google increasingly uses GBP post frequency, recency, keyword relevance, and engagement to influence the local pack and map rankings. Many businesses still post generic content — or not at all.

Edge created

Claude spots what competitors miss (e.g., “emergency plumbing near [Landmark]”) and generates hyper-local, CTA-heavy posts you can copy-paste. High-volume posting + local landmarks = stronger proximity + relevance signals.

3. Content Gap & “Be More Helpful” Analysis

Prompt:

“Scan these sites. What are these competitors’ sites missing? Find the content gaps and tell me 5 topics I should cover to be more helpful than them.”

Context in 2026

Google’s post-March 2025 updates continue to reward depth and user-first helpfulness. If the top three results have shallow service pages, thin FAQs, or no location-specific guides, you can leapfrog them by filling those exact voids.

Outcome

Five concrete, high-value topic ideas that directly address searcher pain points the competition ignores.

4. Structured Data / Schema Audit & Quick Fixes

Prompt:

“In Chrome, open {{PASTE_URL}}. Check the page source and list all schemas. Say if LocalBusiness exists and if it’s useful. Output: (1) existing schema + verdict, (2) missing/weak schema + priority. For HIGH priority only, generate clean JSON-LD with placeholders. No guessing. No explanations. Be blunt.”

Why schema still rules local SEO

Valid, complete LocalBusiness + Service + Review schema helps Google understand your entity faster and display rich results. Many local sites still have partial, broken, or missing markup.

Practical win

You get blunt feedback (“No aggregateRating — critical miss”) plus ready-to-use JSON-LD snippets for the highest-leverage items.

5. High-Intent “Bottom-of-Funnel” Keyword Discovery

Prompt:

“List 20 high-intent local keywords for a [Service] in [City] that indicate a customer is ready to buy NOW.”

Value

Focuses you on “emergency plumber near me”, “24-hour locksmith [City]”, “urgent AC repair [Neighborhood]” — queries with commercial intent that convert fastest. These usually have lower difficulty than broad head terms.

Result

A ready list of money keywords most agencies charge thousands to research.

6. Competitor Keyword & Priority Research (via Ahrefs Simulation)

Prompt:

“Open Chrome, go to ahrefs and analyze my competitor XYZ.com’s top 20 pages, extract their target keywords, search volumes, and give me a prioritized list with difficulty scores in a spreadsheet.”

Reality check

Claude Cowork cannot actually log into your Ahrefs account or bypass paywalls. However, if you’re already logged in and the dashboard is open, it can read visible tables and export-style data from the screen. Many users run this prompt after manually opening the competitor’s Ahrefs overview.

Best outcome

A prioritized spreadsheet of their best-performing keywords — sorted by difficulty and volume — in roughly 10 minutes.

Does the 60-Day Outranking Claim Hold Up?

Sarvesh positions these prompts as a shortcut to results that historically took 12 months, compressing them into 60–90 days. Several caveats apply in early 2026:

  • Extremely competitive niches (dentists in NYC, lawyers in LA) still need citations, backlinks, real reviews, and site speed.
  • Google Business Profile signals move faster than organic rankings.
  • New sites with zero history face sandbox-like delays even with perfect execution.
  • Claude Cowork rate limits (especially on non-max plans) can interrupt long sessions.

That said, for small-to-medium local service businesses with decent existing GBP reviews and a functional website, this workflow can deliver noticeable map movement in 60–90 days — especially when combined with traditional actions (citations, review velocity, on-page fixes).

Final Takeaway

Whether or not you hit #1 in exactly 60 days, Sarvesh’s thread highlights a clear 2026 trend: the winners will be the ones who let AI agents handle repetitive, browser-based SEO labor at 10× speed — freeing humans to focus on strategy, link-building, and client relationships.

If you’re running (or marketing) a local service business and want to test this stack, the six prompts above are copy-paste ready. Just replace the placeholders and — if rate limits allow — let Claude Cowork do the clicking.

Whether it becomes the definitive “cheat code” of 2026 or simply the most efficient assistant yet, one thing is clear: browser-automated frontier models are already reshaping how fast a motivated SEO can move.