LinkedIn Visibility Audit

Executive summary (in three lines)

• Biggest win: The SAFE AI Framework is a genuinely ownable wedge in the UK nonprofit AI space. Most competitors are US-based and fundraising-focused. Tomar owns the governance angle.
• Biggest gap: Zero visible recommendations, duty-style experience bullets, no Featured section asset, biweekly newsletter under-leveraged at 99 subscribers, 80% of feed posts are text-only when carousels deliver 6.60% average engagement (DataSlayer Feb 2026). The profile teaches but does not prove.
• Biggest opportunity: Tomar is posting at 5+ per week with low engagement AND running a biweekly newsletter at 99 subscribers that almost no feed post drives traffic to. Cutting feed cadence in half, shifting 40% of posts to PDF carousels (using the SAFE AI and CRAFT+ frameworks), moving the newsletter to weekly, and using every carousel as a newsletter teaser would likely double the follower-to-post ratio AND the newsletter subscriber count inside 90 days.

1. Profile Foundation (15 pts)

What is working

• Custom URL is clean and brandable. No numbers, no department prefix.
• Location, industry, and three concurrent current roles are all populated.
• Honors-Awards section is populated (Derby Community Respect Award, Cultural Champion). Local recognition still counts as third-party validation.

Specific fixes (this week)

• Rebuild the banner image around the book. The single largest piece of visual real estate on any LinkedIn profile is currently doing almost no work. The new banner should show the Start AI Right for Nonprofits cover prominently on the left, with a one-line value tagline on the right ("Helping UK nonprofits use AI without overwhelm. Free book.") and a small "Author" badge. This single change makes the book unmissable in the first 2 seconds of profile view. Canva has free LinkedIn banner templates at the correct 1584x396 dimension.
• Turn on "Open to Providing services" with "Business Consulting" and "Strategy Consulting" selected. This adds a green "Open to Work" style banner that signals buyer-readiness. Free, takes 2 minutes.
• Add English to Languages. The PDF shows only German listed. For inbound UK leads searching in English-speaking LinkedIn, this is a small but visible discoverability miss.
• Expose contact info to all visitors, not just connections. A direct email under Contact Info turns DMs into a backup option, not the only option.

2. Positioning & Messaging (15 pts)

What is working

This is Tomar's strongest category. The current headline:

Helping nonprofits use AI without needing a tech team, big budget, or more overwhelm

Names the audience (nonprofits), the action (use AI), and the three barriers it removes (tech team, budget, overwhelm). That structure is what Taplio and GetCatalyzed both recommend.

The About section opens with a strong hook:

Your team is already using AI.
Most nonprofit leaders simply do not have visibility of it yet.

That hook lands in the first two lines, before the "see more" cutoff. It assumes the prospect's reality rather than asking them to imagine it. The SAFE AI Framework that follows is named, ownable, and structured.

The one fix that moves the score

Headline is using 98 of 220 available characters. That is half-empty real estate on the most-searched field on LinkedIn. The version below adds keyword density without losing the human read.

Current:

Helping nonprofits use AI without needing a tech team, big budget, or more overwhelm

Recommended:

AI Consultant for Nonprofits | Author of Start AI Right | Helping mission-led teams build SAFE AI policy without a tech team, big budget, or overwhelm | UK

That version is 187 characters. Adds three discoverability anchors ("AI Consultant for Nonprofits", "SAFE AI policy", "UK"), elevates the book as instant proof, and keeps the original promise intact.

About section: keep mostly as-is, sharpen the first line

Current first line: "Your team is already using AI."

Recommended first line: "Your nonprofit team is already using AI, whether you have signed off on it or not."

One added word ("nonprofit") raises keyword density. The added clause ("whether you have signed off on it or not") raises the stakes from observation to risk, which is the actual emotional trigger for a CEO or trustee.

3. Proof & Credibility (15 pts)

Featured section: build this before next post goes out

The Featured section sits directly under the About section. It is the single highest-converting block on any LinkedIn profile (Taplio calls it the top conversion lever). The book Start AI Right for Nonprofits is Tomar's single strongest trust asset and should be the cornerstone of both the banner image (see Section 1) and the Featured section. Tomar's profile has the raw materials for four Featured items already:

1. "Start AI Right for Nonprofits" book link with the actual cover image (the same one that should be in the banner) and a one-line CTA: "Free download. The 32-page guide most UK nonprofits use to map their current AI use in one afternoon."
2. The SAFE AI Framework as a 10-slide PDF carousel uploaded as a media item. Lifts the framework from the About text into a visual asset a buyer can save.
3. The CRAFT+ prompts pack as a downloadable lead magnet (recommended build in Section 9.5 below).
4. Sisters Talk Virtual Café link as community proof: "The space I built for Black women in leadership. 500+ attended."

Recommendations: ask for 5 this week

Recommendations carry roughly 3x the trust weight of likes per LinkBoost 2026 because they require the recommender to attach their professional identity to the claim. Right now Tomar has zero visible. Five recommendations from named UK nonprofit leaders or workshop attendees would close almost the entire visible-trust gap.

Suggested ask script:

Hi [name], I am tidying up my LinkedIn this week. If our work together at [org]
was useful, would you write a short LinkedIn recommendation focused on [one
specific outcome from your work]? Three lines is plenty. I have drafted a
template below if it saves you time. No pressure if the timing is wrong.

Experience bullets: rewrite duty into outcome

Current bullets under AI Consultant at AY Productions Ltd:

Develop AI-generated product lines for creative and commercial use
Consult with organizations on how to integrate AI tools ethically and effectively
Lead workshops on generative AI in culture and design

Recommended rewrite (use real numbers Tomar can verify):

Built and shipped [N] AI workflow templates now in daily use across [N] UK
nonprofit teams (funding bids, comms, programme reporting), cutting average
copy turnaround from [N] hours to [N] minutes.

Advised [N] charities and arts organisations on responsible AI adoption using
the SAFE AI Framework. [N]% of engagements resulted in a written AI policy
the board signed within 60 days.

Designed and delivered [N] in-person and virtual workshops on generative AI
in culture and design, including for [named org]. Average attendee feedback
score: [N] of 10.

The numbers can be modest. They just need to be real and present.

4. Content Strategy (20 pts)

Format mix analysis (last 5 posts vs 2026 benchmarks)

Hook quality, scored against the last three posts

• "Sometimes you do not need a big conference. You need a safe conversation." (Sisters Talk Café) Score: 8/10. Tension, contrast, payoff in two lines. Works.
• "Should organisations disclose when they use AI?" (newsletter promo post) Score: 8/10. Question hook with stakes, and the link goes to her own LinkedIn newsletter AI & the Next-Gen Organisation rather than an external URL, so no reach penalty. Newsletter promo posts are a strong distribution loop for the newsletter, currently under-used.
• "AI is changing how we work. But it should never replace how we connect." (AI anxiety post) Score: 4/10. Generic opener. Almost every AI-themed post on LinkedIn opens with a version of this sentence. The point is in the second half ("never replace"); start there instead.

Newsletter: amplify the existing one, do not launch a second

Tomar already runs the LinkedIn newsletter AI & the Next-Gen Organisation with 99 subscribers and 11 issues published on a biweekly cadence. That is a solid foundation that the rest of the audit did not initially surface. Newsletters get 35 to 45% open rates because subscribers receive email notifications that bypass the algorithm entirely (HeyOrca). Newsletter subscribers are also weighted higher in the Depth Score model that LinkedIn shifted to in 2026 (Richard van der Blom, Algorithm InSights 2025). At 99 subscribers, the rung exists. The work is amplification, not a new launch.

Three changes that compound this asset:

1. Move from biweekly to weekly. Subscriber drop-off between fortnightly and monthly is steep; the same dynamic applies (less steeply) between weekly and biweekly. Doubling the cadence roughly doubles the touch points without doubling the writing burden because each issue can be tighter.
2. Use every feed carousel as a newsletter teaser. Every CRAFT+ or SAFE AI framework carousel should end with one slide: "The longer version of this is in AI & the Next-Gen Organisation. Subscribe (free) here." Currently the newsletter has zero visible feed-post cross-promotion.
3. Capture emails outside LinkedIn for the top 10% engaged subscribers. A lead magnet (the SAFE AI Policy Pack recommended in Section 9.5) gated by email turns LinkedIn-only subscribers into an owned email list. LinkedIn newsletter subscribers are valuable but cannot be exported if LinkedIn reach ever drops.

5. Engagement & Network (15 pts)

Estimated SSI breakdown

Tomar can pull the actual score from linkedin.com/sales/ssi at any time. The estimates below are derived from profile signals, not measured. Treat them as a starting hypothesis to test.

6. Algorithm Alignment (10 pts)

The single highest-ROI fix in this category

Move external links out of the post body and into the first comment. The two posts in the sample where links sat in the body (Sisters Talk Eventbrite registration, article about AI disclosure) almost certainly under-reached because of it. Agorapulse 2025 measured a ~60% reach reduction for in-body links. Sample of two is small, but the engagement pattern matches the prediction: both posts under-performed even the text-only baseline.

Process going forward, on every post that links out:

1. Post the body with no link.
2. Post the link as the first comment within 60 seconds of publishing, with one line of context: "Full post here, and a comment-thread version below if you prefer."
3. Reply to the first 3 comments within the first hour. The algorithm reads early conversation as quality signal.

Native video: 1 short clip per week, starting week 3

LinkedIn Live delivers 7x more reactions than standard uploads (Visla 2026). Tomar has on-camera credibility from 4+ years hosting live programmes for Radio Aktiv, TV Aktive, and TD1 Kabel TV. That experience is currently invisible on the profile and absent from the content stack. Even a 60-second selfie video per week (held on a steady surface, no studio needed) would close the largest format gap in the audit.

7. Discoverability (10 pts)

This is the second strongest category in the audit

Tomar's profile is keyword-dense in exactly the right places. The About section names every search term a UK nonprofit leader might type into LinkedIn: nonprofits, charities, arts organisations, community programmes, responsible AI, SAFE AI framework, mission-led, funding bids. That is a profile that ranks well in LinkedIn's internal search even without content reach.

The one remaining miss

Zero hashtags across all five sample posts. The 2026 algorithm has moved away from hashtags as a primary distribution signal, but the LinkedIn search index still uses them for topic clustering. Three hashtags per post (1 niche-specific, 1 broad, 1 community) costs nothing and recovers the topic-cluster benefit.

Recommended hashtag pool for Tomar:

Niche: #AIforNonprofits #ResponsibleAI #SAFEai #NonprofitTech
Broad: #AI #Leadership #NonprofitLeadership
Community: #SistersTalk #DigitalTransformation #CharitySector #UKCharities

Competitive Benchmark

Three peers operating in the same niche (AI for nonprofits / mission-led organisations) at different scales. Beth Kanter and Nathan Chappell are aspirational benchmarks. Shereese Floyd is the closest direct peer in positioning and scale. All three are US-based, which is itself the most actionable finding: no one in this list owns the UK market.

Three observations from the comparison

• What each peer does better. Beth Kanter has institutional credibility (NTEN, Gates funding) Tomar cannot match in 12 months. Nathan Chappell has built distribution infrastructure (podcast, conference, books) that compounds. Shereese Floyd has a productized $5k certification program that converts audience into recurring revenue.
• What Tomar already does better. Tomar has two named frameworks (SAFE AI and CRAFT+) where most US peers have one. Tomar's hook quality on the best posts (Sisters Talk, "Should organisations disclose") is tighter than the average peer post. The UK + Black women community angle is genuinely unique. And the "Human Lead and AI Powered" signoff is a brand signature none of the peers have.
• The unclaimed angle Tomar should own. The UK nonprofit AI governance authority. All three peers are US-based. UK nonprofits face different regulatory pressures (UK GDPR, Charity Commission expectations, devolved national frameworks across England, Scotland, Wales, and Northern Ireland). A UK-anchored SAFE AI Framework that translates US best practice into UK-specific policy is a wide open category. The book "Start AI Right for Nonprofits" should be the cornerstone of that positioning, not a footnote in the About section.

9.5 Lead Conversion Playbook

Visibility alone is a billboard. This section is the bridge from "people find me" to "people pay me." Five buying signals to watch for, three lead magnet concepts ranked by build priority, three signal-based DM templates Tomar can send this week, and three objections that will come back from Tomar's prospects (not from buyers of Lesli's offer).

9.5a Buying-Signal Map

Five LinkedIn behaviours that indicate someone in Tomar's stated ICP (UK nonprofit CEO, ED, ops lead, or programme manager at a charity, arts org, or community programme already using AI without governance) is actively considering a purchase. Ranked highest to lowest intent.

9.5b Lead Magnet Fit

Three lead magnet concepts. All three are producible inside two weeks using Tomar's existing frameworks (no developer time, no design team).

9.5c Signal-Based DM Playbook

Three templates tied to specific buying signals from 9.5a. All under 100 words, no openers like "I hope this finds you well" or "I noticed we share an interest in", end with one question relevant to the observed signal, do not pitch the offer.

9.5d Objection Handler (Tomar's prospects, not Lesli's)

Three objections Tomar will hear when DMs turn into sales conversations with UK nonprofit prospects. Direct response is the under-60-word version. Proof-led response is the under-100-word version with a named-client placeholder Tomar can substitute in. Every response acknowledges before addressing, none pitch the offer as the answer.

Objection 1: "We don't have budget for AI consulting right now."

Direct response (under 60 words):

Proof-led response (under 100 words):

Objection 2: "Our staff are already using ChatGPT, we don't think it's a problem yet."

Direct response (under 60 words):

Proof-led response (under 100 words):

Objection 3: "We tried AI training last year and the team didn't use it."

Direct response (under 60 words):

Proof-led response (under 100 words):

30-Day Roadmap

Week 1: Profile fixes + send the first 3 DMs

• Turn on "Open to Providing services" with Business Consulting and Strategy Consulting selected.
• Add English to Languages.
• Expose email under Contact Info to all visitors.
• Rewrite headline to the 187-character version recommended in Section 2.
• Sharpen the first line of the About section ("Your nonprofit team is already using AI, whether you have signed off on it or not").
• Rewrite the 3 AI Consultant role bullets in outcome form (real numbers, named clients where possible).
• Build the Featured section with 4 items: book, SAFE AI carousel, CRAFT+ prompts placeholder, Sisters Talk Café link.
• Send personalised recommendation requests to 5 past clients or workshop attendees using the script in Section 3.
• Send the 3 signal-based DMs from Section 9.5c to the first 3 prospects matching Signals #1, #2, #3. Goal: one reply, not three sales.
• Stop putting external links in the post body. From this week forward, link goes in the first comment, every time.

Weeks 2 to 3: Build the lead magnet, shift the content mix, amplify the newsletter

• Build the SAFE AI Policy Pack (per Section 9.5b). Draft in Claude, review by Tomar, layout in Canva. Add to Featured section as item 3.
• Move AI & the Next-Gen Organisation from biweekly to weekly cadence. Next 3 issues focus on the SAFE AI Framework (one principle per issue: Secure, Accountable, Future Ready). Add an end-of-issue CTA to download the SAFE AI Policy Pack.
• Add a one-slide newsletter teaser to every carousel: "The longer version of this is in my LinkedIn newsletter AI & the Next-Gen Organisation. Subscribe free here." Currently zero feed posts cross-promote the newsletter.
• Shift the feed-post mix: 2 PDF carousels per week (using SAFE AI and CRAFT+ as source material), 1 native video per week (60 seconds, selfie, no studio), 1 text-only post per week.
• Reduce overall feed posting cadence from 5+ per week to 3 per week (focus over volume).
• Begin commenting on 5 posts per day from people in the target ICP, using the Engage with Insights pillar to lift SSI.
• Add 3 hashtags to every post going forward (from the pool in Section 7).

Day 30: Measure

• Pull SSI from linkedin.com/sales/ssi. Compare against the estimated 30 to 38 baseline. Target movement: +10 points.
• Engagement rate on the 8 new posts published in the format-shifted period. Target: 1.5%+ average, vs the current 0.2 to 0.9% baseline.
• Newsletter subscriber count. Target: 99 to 130+ inside 30 days driven by carousel teasers and weekly cadence.
• Inbound DM count. Target: 3+ from people matching the ICP signals.
• Reply rate on the 3 signal-based DMs. Target: 1 of 3 books a discovery conversation.
• Featured section views (LinkedIn surfaces this in analytics). Target: 50+ in 30 days.

90-Day Transformation Plan

What the next 90 days look like if Tomar follows the plan. Outcomes are framed directionally because, per audit methodology, specific numerical projections are unverifiable until the work runs.

Engagement Options

Two ways to take this audit from diagnostic to delivered. The Sprint is recommended for Tomar because the structural fixes (Featured section build, recommendations campaign, policy pack launch, newsletter setup, SSI lift) compound when done in sequence and slow down significantly when attempted in parallel solo.