How the LinkedIn Authority Score works
The score is built from 31 binary checks grouped into seven pillars. Each pillar carries a different weight because not every authority signal moves the needle equally. A custom URL is worth two points; a banner that doesn't look like a stock template is worth four. The weights aren't theoretical — they're calibrated against profiles we've actually rebuilt for founders, operators, and executive clients inside the GoogleMe and Personal Brand programs.
You don't need our help to use the tool. Walk the checklist, tick what's already true, and the right-hand panel grades the profile in real time. The grade goes from F (invisible) at the bottom to A (executive-tier) at the top. Most founders who haven't actively worked their LinkedIn land in the C-to-D band — solid résumé, weak authority surface.
The seven pillars
Visual Presence (12 pts). The first 0.3 seconds — headshot, banner, custom URL, verification badge. This is the tax of arrival. Most profiles get 4 of 12 because the default banner is still in place.
Positioning & Headline (15 pts). The single most-read line on the profile. We grade for value-prop language, category keywords, who-you-help framing, and scannability. "CEO at Acme" earns nothing here; "Helping B2B SaaS founders ship faster | ex-Stripe | building Acme" earns the full 15.
About / Summary (15 pts). The bio AI scrapes when someone Googles you. We score length (1,500+ characters), opening hook, specific metrics, scannable formatting, and a closing CTA. This section is the most-cited block by ChatGPT and Perplexity when answering "who is [name]?" — so it pulls double weight against your AI footprint, not just LinkedIn itself.
Experience Depth (15 pts). Logos buyers actually recognize, real outcomes (numbers, not adjectives), and dates that line up. A profile that says "drove 12% gross margin expansion across a $40M P&L" outscores "led significant growth initiatives" every time.
Social Proof (15 pts). Recommendations, endorsements, follower count, post engagement. This is where most founders bleed points — they have the experience but no public artifacts proving it.
Content Activity (15 pts). Posting cadence, format mix, comment activity, and whether the algorithm still has signal on you. A profile that hasn't posted in 90 days loses most of this pillar — the algorithm forgets you and so do buyers.
Authority Signals (13 pts). External proof points — bylines, podcast features, press citations, a Google Knowledge Panel, a Wikidata entry. These are the AEO-adjacent signals that determine whether ChatGPT cites you when someone asks who you are.
Why LinkedIn pulls so much weight
For most executives, LinkedIn ranks first or second on Google for a name search — ahead of Crunchbase, ahead of company "About" pages, often ahead of personal sites. That makes it the de facto bio for buyers, investors, journalists, and the LLMs that crawl those same SERPs. ChatGPT and Perplexity routinely cite LinkedIn when answering "who is [executive name]?" because LinkedIn is high-authority, structured, and recent.
An optimized profile compounds. It pulls in inbound DMs, makes outbound replies four times more likely to convert, raises your citation rate inside AI answers, and quietly seeds the case for a Google Knowledge Panel. A weak profile does the inverse — it caps every other channel you're running.
What changes after a high score
An A-grade profile signals to the algorithm that you're a person worth surfacing. Posts get more reach. Search Appearances climb. Profile views compound week over week. More importantly, it shifts the brand entity Google and the LLMs build around your name — every other authority asset (press features, podcast clips, podcast appearances, knowledge panels) starts feeding the same coherent profile instead of a fractured one.
If you want the report inside the tool — pillar breakdown, top five fixes, copy-and-paste rewrites for headline and About — finish the questionnaire on the left, hit "Generate report," and we'll email it inside 24 hours.
How the score interacts with AI search
LinkedIn's About section, headline, and Featured links are the structured fields large language models pull from most often when answering questions about a named executive. ChatGPT, Perplexity, and Claude treat the profile as a lightweight Wikipedia entry for people who don't have a Wikipedia article. That makes the LinkedIn Authority Score effectively a proxy for how well an executive's name resolves inside an answer engine — when the score climbs, the model's answer gets cleaner, more accurate, and more likely to mention current company, current role, and recent press. When the score sits in the C-to-F band, models hedge or pull from outdated sources.
You can confirm this directly: run your name through the free AI Citation Checker and compare the result before and after a profile rebuild. Most executives who lift their score by 30+ points see a measurable shift in how often their name surfaces in AI answers within 30 to 60 days, especially for prompts that combine their name with their company or category.
Common mistakes the rubric catches
The most common mistakes that drag a profile into the D-to-F band are predictable. The default LinkedIn banner is still in place. The headline reads as a job title rather than a value proposition. The About section opens with "I am a passionate founder with X years of experience…" and rolls into a résumé rather than a story. Featured is empty or stuffed with a single product link. Posts stopped 90 days ago. There is no Knowledge Panel and no Wikidata entry. None of these are hard to fix individually. They simply require treating the profile as an executive bio, not a job listing.
The tool exists because we kept seeing profiles that scored under 50 from operators who otherwise read as serious — exited founders, executives at notable companies, public-company board members. The score doesn't measure career credentials. It measures whether the profile communicates them. That is a different problem with a different fix.
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