LinkedIn Content Strategy for GEO Consultants | Netwarm
LinkedIn playbook · Case study
LinkedIn content strategy for GEO consultants: how a Hertfordshire organic growth consultant reached 67 founders and marketing leaders
We read every reaction on 15 posts from a Hertfordshire GEO and organic growth consultant. 337 people, 67 founders and marketing leaders. Here is what brings buyers, what brings peers, and the 5 posts we'd publish next.
Max Sawyer · Netwarm··11 min read
The creator in this case studyA Hertfordshire GEO and organic growth consultant
Followers27,348
Posts~2–3 a week
SellsGEO and SEO consulting for brands; content scoring rubrics; the Botworthy membership (£20 a month)
PeriodSep 22 – Nov 2
Ideal client: CMOs, heads of marketing and founders at brands that want AI search and organic to drive revenue.The challenge: The consultant writes for CMOs, but half of the people who react are SEO and GEO specialists. The rubric post went viral. Which posts reach the marketing leaders who sign the proposal?
Key takeaways
These numbers are from 2 November. Your audience has already moved.
New marketing leaders turn Hot every week and others go quiet. Run your free scan to see today’s version, with the names.
67 founders and marketing leadersreacted to 15 posts in 6 weeks: 1 in 5 people who reacted. Half were SEO and GEO peers.
Client results bring 1.5x the share of buyersthat GEO research and opinion posts bring: 24.1% against 15.9%.
The same offer, two openings:the skill offered after a FTSE 100 client story reached 25%, after an argument 11%.
01
Who actually reads you, and what the LinkedIn algorithm changed
The consultant's best posts go far: 292 and 252 reactions. The LinkedIn algorithm pushes a GEO post to everyone who works in search, so the crowd is mostly peers.
We read the reactions on each of the 15 posts (up to the first 100) and sorted the 337 people by role.
15posts read
337people who reacted
67founders and marketing leaders
2came back 3+ times
Audience by roleThe 337 people who reacted, by roleFree
Founders, CMOs and marketing leaders67 · 19.9%
SEO and GEO specialists, freelancers and agencies168 · 49.9%
Everyone else102 · 30.3%
Peers outnumber buyers 2.5 to 1: 168 to 67. SEO and GEO people react to research and to free skills. That builds authority. It doesn't sign proposals.
Buyers rarely come back: only 2 reacted to 3 posts or more. Turning one-time readers into regulars is the next step.
SeniorityAll people who reactedFree
Founder, owner, C-level20.8%
Director, VP9.2%
Manager13.6%
Independent10.1%
Other46.3%
IndustriesMarketing leaders onlyNetwarm
Marketing, brand and sales46.3%
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See all industries and company sizes in your free scan.
2 marketing leaders keep coming back, a CMO among them. One of them reacted to 3 of 15 posts.See your regulars
Engager company sizeEveryone who reacted, by company sizeNetwarm
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See which company sizes your marketing leaders work at.See company sizes
02
What to post on LinkedIn to reach marketing leaders
Most consultants judge a post by its reactions. A consultant who sells to CMOs should judge it by who reacted.
We tagged each of the 15 posts by topic, then measured the share of founders and marketing leaders among the people who reacted.
Your topicsWhat your 15 posts were aboutFree
15posts
GEO research and opinion5
Client results and rubrics4
AI safety4
Botworthy and asks2
Topics that attract marketing leadersShare of each topic’s reactions from marketing leadersNetwarm
Client results and rubrics24.1%
AI safety16.2%
GEO research and opinion15.9%
One topic brings twice as many marketing leaders per post as another. See which.See which topics
Client results bring 1.5x the share of founders and marketing leaders that GEO research and opinion posts bring (24.1% against 15.9%), and twice as many per post (8.8 against 4.2).
Posts that brought the most marketing leadersShare of marketing leaders in each post’s reactions1 of 5 open
#1A traffic-is-vanity client story30.8%
#2New study: which GEO tactics hold up across 96,418 URLs28.6%
#3GEO KPIs: why you can't copy your SEO dashboard25%
#4A GEO scoring rubric for a FTSE 100 company25%
#5+36% organic revenue in one month20.8%
For comparison, the “GEO works, and I won't stop saying it” post reached 11.2%, on the same skill offer.
6 rules for LinkedIn engagement from marketing leaders
These rules come from what worked on the consultant's own profile, and from the best-performing posts by GEO and AI search consultants on LinkedIn over the last 3 months.
1
Lead with the client, not the argument. “I built a GEO scoring rubric for a FTSE 100 company.” A CMO reads a peer's problem first. The debate about GEO vs SEO is for other SEOs.On this profile: the same skill offer reached 25% buyers after the FTSE 100 opener, 11.2% after “GEO works”.
Say what it did to revenue. Traffic is the SEO's number. Revenue, conversions and share of voice against competitors are the CMO's.On this profile: the “traffic is a vanity metric” client story reached 30.8% buyers, the highest share on a post with 10+ reactions.
Read the study for them, then say what to do. CMOs don't have time for 96,418 URLs. One line on the sample, three findings, and what to tell the writers on Monday.Across the niche: Rand Fishkin's read of three new studies drew 1,538 likes and 401 comments.
Take a side, with the data behind it. “GEO is a distraction” and “GEO works” both travel. The one that wins the room shows its numbers.Across the niche: Marie Haynes' “GEO is a distraction”, on 145 million sessions, drew 668 likes and 201 comments.
Put the result in line one. “+36% organic revenue MoM.” A number before the story tells a CMO the post is about their budget.On this profile: the +36% post reached 5 buyers out of 24 reactions (20.8%).
Show the score, not the checklist. A score a CMO can put next to a competitor's is more useful than a list of tactics.Across the niche: Andrew Yan's citation score, validated on 1,761 articles, drew 2,762 likes.
When marketing leaders read: the best time to post on LinkedIn for GEO consultants
We compared the share of founders and marketing leaders by the day and the hour each post was published (UK time). With 15 posts, each day has 1 to 5 posts: read the gaps as a direction.
Share of marketing leaders by posting dayAmong the people who reacted to each postFree
32.0%
Mon
25.0%
Tue
12.7%
Wed
12.5%
Thu
24.1%
Fri
Best time to post, by hourShare of marketing leaders among people who reactedFree
17.4%
10:00
19.9%
12:00
25.0%
14:00
Monday (32.0%), Tuesday (25.0%) and Friday (24.1%) brought the highest share of buyers. Wednesday had the biggest posts but the lowest share, 12.7%: those posts reached mostly peers.
2 p.m. UK was the best slot with 3+ posts (25.0%), and lands at 9 a.m. in New York. Put client results on Monday and Tuesday at 2 p.m.
05
5 posts ready to publish to target marketing leaders
Each post follows the rules above, in the consultant's voice. Swap in your own details before posting: the real client numbers are what make it land.
1Ready to postClient result
A UK insurer's blog scored 45.6 out of 100Rule 1: lead with the client, not the argument. Modelled on the FTSE 100 rubric post.
Hook
A major UK insurer asked me why AI models never cited their blog. Their average article scored 45.6 out of 100.Not because the writers were bad. Because they were trained for old SEO.I audited 32 articles and hand-coded all 284 section openings. Here's what came up:- 43% of sections didn't answer their heading in the first sentence
- Question headings were answered directly only 38% of the time, against 67% for statement headings
- Three criteria caused 47% of all lost points: answer-first writing, lists and tables, and statisticsThe best part? Content type made no difference.So it wasn't a blog problem or a product page problem. It was house style.And house style can be trained.If you're a CMO, this is the bit that matters: you don't need 300 new articles. You need your writers to change three habits, and a way to score whether they did.When did you last check whether your content answers the question it asks?
Visual · Single imageA heatmap of the 10 criteria across the 32 articles, with the three pale columns highlighted.Check before postingAll figures come from your October 8 post: check you can still share them for this client, anonymised.
Less clicks, more revenue. Again.Rule 2: say what it did to revenue. Modelled on the “traffic is a vanity metric” post.
Hook
Your traffic dropped. Your revenue went up. Your board only asked about the traffic.I see this every month.A client of mine sells a very specific product to people who know exactly what they need. We cut the content that drove clicks but no sales, rebuilt the category pages for commercial queries, and stopped chasing generic terms.Traffic went down. Revenue went up.Now add AI search to that.When ChatGPT recommends you, the buyer often doesn't click at all. They arrive later, by name, ready to buy. Or they tick “found through ChatGPT” on the enquiry form.If your dashboard still opens on sessions, you will under-report the work that's making you money.Three things I'd put at the top instead:> Organic and AI-referred revenue
> Share of recommendations vs your top 3 competitors
> Enquiries that say they found you through an AI modelClicks don't pay the bills. Revenue does. 🤣What does your organic dashboard show first?
Visual · Single imageTwo lines on one chart: sessions going down, revenue going up, no client name.Check before postingUse the real client (anonymised) and its real direction of travel. Add the revenue figure only if the client agrees.
What 96,418 URLs say about getting citedRule 3: read the study for them, then say what to do. Modelled on Rand Fishkin's three-studies post.
Hook
SISTRIX looked at 96,418 URLs to see what AI models cite. Here's what to tell your writers on Monday.The odds of being cited were higher for pages with:✅ a table of contents (1.7x)
✅ at least five H2s (1.6x)
✅ tables with header rows (1.5x)
✅ a question as an H2 (1.4x)
✅ an author box with a photo (1.4x)
✅ a visible last-updated date (1.3x)Readability had no significant effect. Neither did llms.txt.Pages with many of these features were cited 2.1x as often.Caveats: it's correlation, DACH only, and it leaves out Perplexity, Claude and Gemini chat.So what do you actually do with it?1. Add a contents box and a last-updated date to your top 20 commercial pages
2. Turn one paragraph of comparison into a table
3. Put a real author, with a photo, on every guideThat's a week of work, not a rebuild.Which of these is missing on your best-selling page?
Visual · CarouselSlide 1: the 96,418 number. Slides 2–4: the odds ratios as bars. Slide 5: the three things to do.Check before postingThe figures come from your October 26 post on the SISTRIX study: check you're quoting the final version.
GEO isn't a distraction. Measuring it like SEO is.Rule 4: take a side, with the data behind it. Modelled on Marie Haynes' “GEO is a distraction”.
Hook
GEO isn't a distraction. Measuring it like SEO is.I keep reading that AI search sends almost no traffic, so it doesn't matter.Traffic was never the point.Ahrefs tested 15,000 prompts. On average, only 12% of links cited by ChatGPT, Gemini and Copilot appear in Google's top 10 for the same prompt. 80% of those citations don't rank anywhere in Google for the original query.So two things are true:> AI models send fewer clicks
> AI models recommend different brands than Google doesIf you only look at the first one, GEO looks like a waste of money.If you look at the second, you're watching competitors get recommended in a channel you're not measuring.For a client this autumn: +28% share of voice, taken from direct competitors. +13% visibility. Up 3.1 positions to #2.None of that shows up in a sessions report.Come at me. But bring the citation data. 🤣
Visual · Single imageTwo overlapping circles: Google top 10 and AI citations, with only 12% overlap.Check before postingThe Ahrefs and client figures come from your October 28 post. Name the client only if they agree.
How does your sector score?Rule 6 and the lead magnet: a score a CMO can compare, offered for a comment. Modelled on Jules Davies' checklist giveaway.
Hook
I scored the leading brands in a few sectors on how citable their content is. Want your sector's scores?Most CMOs I talk to can tell me their rankings.Very few can tell me whether their content is more likely to be cited by AI models than their top competitor's.That's what the Botworthy Index does.Every article is scored out of 100 against 10 criteria, each weighted by the research behind it:> Answerability: does each section answer its heading in the first sentence?
> Extractability: does each passage make sense on its own?
> Evidence: statistics, named sources, named expertise
> Freshness: how recently it was updatedThe sector reports show where the leading brands score, which habits cost them the most points, and the gap between the best and the rest.If you lead marketing for a brand, comment INDEX and I'll send you the latest sector scores.No SEO jargon. One page you can take to your next leadership meeting.
Visual · Single imageOne sector's scoreboard: brand names blurred, scores out of 100 as bars, the average marked.Check before postingOnly offer sectors you've scored. Put the report behind your Netwarm Reveal link to see which marketing leaders open it.
Free forever: unlimited scheduling through LinkedIn’s official API, with images, video and PDF carousels.
06
LinkedIn lead generation: lead magnets that work to target marketing leaders
Reactions show interest. A download shows intent. The fastest way to find out which marketing leaders are serious is to give them something useful and see who takes it.
In GEO and AI search, these formats get the most requests:
Format 1The full checklistEverything the agency checks, laid out as a checklist, given away for a comment.
Format 2The skills packReady-to-run AI skills that do one job each. Popular with SEOs; less with CMOs.
Format 3The checklist for the brandA short checklist written for the person who owns the page, not the person who builds it.
Our pick for you: “Your sector's Botworthy scores”The consultant's skill offer reached 25% buyers when it followed a client story, 11% when it followed an argument: SEOs take the skill, CMOs want the comparison. The sector scores from the Botworthy Index give a CMO the one thing they can't get alone: how their content compares with competitors. Offer it in post 5.With a Reveal link, every person who downloads it is shown by name, with their role and how warm they are. Your first Reveal link is free.Create your free Reveal link
07
From reactions to clients
Content brings marketing leaders to the profile. It doesn't say when to reach out. Most never comment, so they stay invisible, and a CMO who read the rubric post in October may sign with another agency by January.
On LinkedIn, the right moment to start a conversation is when someone keeps coming back. We call that Hot: 5 or more points over 90 days, where a reaction counts 1, a repost 2, a download or a reply 4.
Hot right now0 marketing leaders · not contacted yetNetwarm
0 marketing leaders are Hot. See who to message first.See who’s Hot
First messageAn opener for each Hot person, based on the posts they readNetwarm
Hi Dana, you reacted to the rubric post and the SISTRIX study. Is AI search on your team's plan for next year?Hi Sam, I saw you liked the post on GEO KPIs. Are you reporting AI visibility to your board yet?
A first line for each of them, ready to send.See the openers
Netwarm sends nothing for you. It tells you who and when, and you write the message. It also works inside Claude and ChatGPT: ask “Who's Hot today?” and get the list.
08
FAQ
Client results first: a named client type, the score or the revenue change, then the method. Here they brought 1.5x the share of marketing leaders that research and opinion posts brought.
For this consultant, Monday (32.0%), Tuesday (25.0%) and Friday (24.1%) brought the highest share of founders and marketing leaders, and Wednesday the lowest (12.7%). 2 p.m. UK was the best slot.
This consultant posts 2 to 3 times a week. Only 2 marketing leaders came back 3 times or more in 6 weeks, so a steadier rhythm of client posts would likely turn more readers into regulars.
Look at who reacts, not how many. Group reactions by role, measure the share of your ideal clients per post, and follow the people who keep coming back. A free Netwarm scan does this for you.
Yes. Netwarm only reads public reactions to your own posts. It never logs in as you, never asks for your password, and never messages anyone for you.
How we made this playbook
We read the public reactions (up to the first 100) on 15 posts published between 22 September and 2 November 2026, and sorted the 337 people by role. Comments were not counted, so engagement figures are a floor.
Niche rules come from top posts by GEO and AI search consultants over the last 3 months. Role groups are approximate: many marketers who react also sell SEO. A Netwarm scan matches people to your own ideal client.