Rekha Thomas is a B2B marketing leader who leads the Forbes Communications Council CMOs Group and shares guidance on go-to-market strategy, content marketing, AI, and PR.
Rekha Thomas is most useful for executive-level B2B go-to-market, content, AI, and PR guidance.
Best for
A B2B SaaS campaign seeking senior practitioner attention on AI-era go-to-market strategy.
Not for
A martech or consumer vendor seeking paid placement with fixed deliverable and audience guarantee.
Key takeaways
AI adoption moves through three stages, and most teams are early.
PR should help shape the story early because AI search rewards citations.
LLM reference rate is presented as a new measure of category mindshare.
Check first: Confirm whether they accept paid work and ask for audience data.
Main ideas
The pre-GenAI content playbook no longer fits buyers, and no one has a proven replacement · PR should help shape the story early, because AI search rewards citations from elsewhere · A brand's 'LLM reference rate' is becoming the new measure of category mindshare
Audience
100+ members Content Marketing Group lead at Forbes Communications Council · Group Leader Forbes Communications Council CMOs Group role
Rekha Thomas is a B2B marketing leader whose posts focus on go-to-market strategy, content marketing, AI, and PR.
They lead the Forbes Councils CMOs Group and previously built its Content Marketing Group to more than 100 members.
Their work is useful to readers tracking how marketing leaders are adapting to AI-shaped buying and discovery: they explain AI adoption as a progression from individual experiments to team workflows and cross-functional systems, and argue that content, PR, product marketing, and demand generation need to reinforce a shared story.
Follow them for practical frameworks and peer perspectives.
Ask how they are testing post-GenAI content strategies, which they present as experimental rather than settled.
Thomas connects broad shifts in B2B marketing to specific organizational choices.
Their AI-maturity post maps the steps from trying AI for individual productivity to building cross-functional systems, including governance, data consolidation, and human review.
Posts on AI search and PR extend that thinking to measurement and collaboration: they point to LLM citations as an emerging visibility measure and argue that PR should help shape stories early, using social listening to spot relevant interest.
Thomas also shares a range of executive views rather than claiming a finished content formula: in one post, seven marketing leaders offer different bets for 2026, from practitioner-led content to short video and earlier customer proof.
Their work is most useful to readers seeking concrete questions and options to discuss, not a universal prescription.
Rekha Thomas writes about how marketing, PR and go-to-market teams should respond to AI-driven changes in buying behavior.
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Their recurring argument: the content and PR playbook built before generative AI no longer matches how buyers find and trust vendors, and its replacement is still being worked out in public.
Senior leaders should run structured experiments, measure new signals such as how often AI answers cite them, and bring PR, content marketing, product marketing and demand generation into one narrative.
A second thread treats AI adoption as a staged organizational change, from individual experimentation to cross-functional architecture, with governance and human review at each step.
The pre-GenAI content playbook no longer fits buyers, and no one has a proven replacement
Rekha Thomas argues that content strategy written before generative AI no longer matches how buyers research and decide.
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They frame 2026 as an experimentation year, with senior marketers’ range of bets reflecting the state of the field.
Thomas asked the Forbes Communications Council Content Marketing Group which shift in buying behavior would most influence 2026 content strategy and investment.
They published seven different answers from leaders at Cisco, Cognizant, TeKnowledge, C4 Ventures, Miraculous Corp, Branch and Martinsen Global: short vertical video (Wendi L.), community-led practitioner content (Rinita Datta), fewer but sharper assets (Anamika Gupta), stage-specific content for long deployments (Sheryl Seitz), Generation Alpha and TikTok as a discovery and conversion engine (Angela Cortez), and earlier third-party proof (Paula Mantle).
The group agreed the old playbook fails, but not on what should replace it.
Thomas ran the question through the Content Marketing Group before moving on to lead the CMOs Group, broadening the audience from content marketers to CMOs.
PR should help shape the story early, because AI search rewards citations from elsewhere
Thomas argues that as third-party citations matter more than a brand's own content for generative engine optimization visibility, PR shifts from a pitching service to a strategic function.
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The failure mode they identify: product marketing writes a launch narrative or thought-leadership piece and hands it to PR to pitch, with disappointing media interest.
The better pattern is for PR to feed early intelligence on what is trending and where market buzz sits, then co-craft the story with product marketing at the intersection of industry interest and business relevance.
Thomas recommends social listening for pattern recognition, including AI tools that scan public posts on LinkedIn, Reddit, Facebook, Instagram and X for rising negative signals.
Ask whether the tools cover the public pages relevant to your audience.
The out-versus-in contrast is concrete: out is the handoff-and-pitch model; in is bringing PR into the room early. Thomas's quoted Forbes tip is to use a tool like ChatGPT to spot real-time patterns across platforms: rising negative signals across many surfaces indicate an issue is heating up.
A brand's 'LLM reference rate' is becoming the new measure of category mindshare
Thomas argues that organic traffic has stopped working as a proxy for category mindshare, and that how often a brand is cited in topic-relevant AI answers is now a better leading indicator of down-funnel demand.
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The figures cited: organic SEO traffic down about 2.5% year over year, AI Overviews appearing in roughly 30% of searches, organic click-through rate dropping about 35% when those overviews appear, and AI-referred visitors converting far above traditional organic. Thomas recommends answer engine optimization built on clear, evidence-based, authoritative content, plus one narrative carried across PR, content marketing, product marketing and demand generation instead of siloed calendars.
Thomas's published Forbes contribution states the approach directly: 'We're adapting for AEO by optimizing for LLM reference rate, or how often a brand is cited in topic-relevant AI responses.' The supporting figures come from Graphite's Similarweb-based study and Ahrefs research and are cited rather than independently reproduced.
Thomas treats citation rate as a leading indicator, not proof of revenue impact. That sits alongside the roundtable position that AI wins are still hard to measure.
AI adoption in go-to-market moves through three stages, and most teams are early
In a write-up of a Neythri.org GTM Roundtable discussion among South Asian women go-to-market leaders, Thomas organizes AI maturity into three stages.
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Stage one is individual experimentation, where content creation is the lowest-hanging fruit and prompts grow more prescriptive about brand, messaging and voice to avoid generic output.
Stage two is team-level workflows—scalable design systems, intake agents, customer support agents—which bring governance, company-sanctioned tools, protection of IP and data, and human-in-the-loop review before anything ships.
Stage three is cross-functional AI architecture, which requires data cleansing and consolidation across systems, as well as people work, including AI councils that bring go-to-market and technical leaders together.
Thomas notes that wins still feel hard to prove and that measurement is shifting from activity to impact metrics.
The shift from prompts like 'write a blog post' to requests with brand, messaging and voice baked in—and the rule that a human reviews anything before it is published or launched.
Convening senior peers is part of the method, not a side activity
Most of Thomas's published guidance comes out of forums they run or join rather than solo commentary.
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They grew the Forbes Communications Council Content Marketing Group past 100 members, then took over the CMOs Group. Its stated mission is to give curious CMOs and senior marketing executives a forum to debate go-to-market, leadership, organizational design, cross-functional alignment, campaigns, metrics and AI innovation, publishing through Expert Panel articles.
Thomas announced their CMOs Group leadership role two years after building the Content Marketing Group, spelling out the group's mission.
This lays out a practical AI maturity ladder and shows where companies typically get stuck.
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It turns the broad question of how to adopt AI across go-to-market into three concrete stages, naming the governance and data work each requires.
Rekha Thomas reports takeaways from a Neythri.org GTM Roundtable where South Asian women go-to-market leaders discussed AI in sales, marketing, and customer experience.
The post says most teams are mid-journey: wins remain hard to measure, and measurement is shifting from activity metrics toward impact.
It outlines three stages of AI maturity.
Stage one is individual experimentation, with content creation as the lowest-hanging fruit and increasingly prescriptive prompts that bake in brand, messaging, and voice to avoid AI slop.
Stage two is team-level workflows, including scalable design systems, intake agents, and customer support agents, alongside governance, company-sanctioned tools, IP and data protection, and human-in-the-loop review before publication.
Stage three is cross-functional AI architecture, where organizations cleanse and consolidate data across systems and build AI innovation councils that bring together GTM and technical leaders.
The post names the roundtable leads and participants and asks readers where their organization sits.
For brands planning a campaign
A B2B SaaS brand can use the three stages to assess its own readiness and shape campaign messaging for buyers at their actual stage, rather than assume every prospect is ready for cross-functional AI architecture. The human-in-the-loop and governance details also offer content angles for cautious buyers.
This explains what has changed in discovery and what brands should measure now.
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It provides concrete numbers on the shift away from organic traffic and identifies LLM reference rate as an emerging proxy for category mindshare.
The post opens with four data points and their sources: organic SEO traffic down 2.5% year over year across major sites (Graphite, using Similarweb data); AI Overviews triggered in roughly 30% of searches, mostly on informational queries and expanding into commercial and transactional keywords; organic click-through rate dropping about 35% when AI Overviews appear; and AI-referred visitors converting 23 times higher than traditional organic (Ahrefs).
It then quotes Rekha Thomas's Forbes contribution: adapting for AEO by optimizing for LLM reference rate, or how often a brand is cited in topic-relevant AI responses.
That requires clear, evidence-based, authoritative content and a shift from siloed content calendars to an integrated cross-functional strategy, with PR, content marketing, product marketing, and demand gen reinforcing the same narrative.
The post also lists fellow Forbes Communications Council members.
For brands planning a campaign
Use this as a measurement frame: shift reporting from organic sessions toward LLM reference rate and AI-referred conversion, and align PR, content, product marketing, and demand gen around one narrative. The 23x conversion figure can help make the case internally for funding AEO work.
This brings together senior practitioners' bets on 2026 content in their own words.
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It offers a range of peer perspectives to compare against your market, rather than a single framework.
Rekha Thomas asked members of the Content Marketing Group they lead at Forbes Communications Council one question: what shift in buying behavior will most influence 2026 content strategy and investment priorities?
The post reports agreement that the pre-GenAI content playbook no longer fits the post-GenAI buyer journey, and that no one has a new playbook yet.
Seven answers follow from marketing leaders at Martinsen Global, Cisco, TeKnowledge, C4 Ventures, Cognizant, Miraculous Corp, and Branch.
They range from transforming long-form thought leadership into short vertical video, to community-led practitioner-authored content and creator collaborations; from fewer, sharper bite-sized assets to stage-specific content for high-ticket items with lengthy deployment times; and from Generation Alpha and TikTok as a discovery and conversion engine to credible proof and third-party validation that reach buyers earlier, before they contact sales.
For brands planning a campaign
Treat the seven answers as content bets to test, not a playbook to adopt wholesale. Community-led content, earlier proof, and short video emerge as the strongest signals for a B2B SaaS content plan.
This explains how PR and product marketing can work together when AI search rewards third-party citations.
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It offers a clear before-and-after for launch planning and a concrete listening method.
The post argues that as third-party citations become more important than a brand's own content for GEO visibility, PR teams are taking on more strategic roles.
It contrasts the old approach — product marketing crafts launch narratives or thought leadership and hands them to PR to pitch, often with little media interest — with the new one: PR flags trends and market buzz early, then partners with product marketing on a story that connects industry interest and business relevance.
It calls social listening one of the best pattern-recognition tools in a PR team's arsenal and quotes Rekha Thomas's Forbes contribution: using AI tools like ChatGPT to recognize real-time patterns across LinkedIn, Reddit, Facebook, Instagram, and X.
Rising negative signals across platforms can indicate an issue is heating up; these tools can only access public pages.
The post also thanks and names fellow Forbes Communications Council members.
For brands planning a campaign
Bring PR into launch planning early, use social listening to spot trends and issues before they peak, and treat earned citations as a GEO asset rather than a downstream pitch task. For a B2B SaaS brand, the post makes the case for one narrative shared across PR, product marketing, and content.
This explains the community role behind the other posts and how the ideas are discussed at a senior level, including where Rekha Thomas's guidance is shared and published.
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Rekha Thomas announces selection to serve as the Forbes Councils CMOs Group Leader, two years after starting and growing the Content Marketing Group to more than one hundred members.
The post describes the new group's mission: a forum for curious CMOs and senior marketing executives to share and debate trends in go-to-market, leadership, organizational design, cross-functional alignment, campaigns, metrics, and AI innovation.
It says the group will share learnings through Expert Panel articles and more, and thanks the Forbes Communications Council for the opportunity.
For brands planning a campaign
For brands seeking senior marketing executives, this post points to the group's Expert Panel articles and discussions as a relevant surface, rather than a product pitch. It also shows how a peer forum shapes the ideas in the other posts, offering insight into how CMO-level buyers compare notes.
In a roundtable write-up, Rekha Thomas describes three stages of AI maturity for go-to-market organizations.
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Stage 1 is individual experimentation, starting with productivity and content creation.
Prompts become more prescriptive with brand, messaging, and voice context to avoid generic output.
Stage 2 covers team-level workflows such as scalable design systems, intake agents, and customer support agents, with governance around sanctioned tools, IP and data protection, and human review before launch.
Stage 3 is cross-functional AI architecture, which requires data clean-up and consolidation, as well as people work, including AI councils that connect GTM and technical leaders.
They note that wins are still hard to prove and teams are moving from activity metrics toward impact metrics.
Roundtable synthesis: Thomas poses a workshop question, gathers practitioner insights, and organizes the discussion into maturity stages and takeaways.
Thomas says wins are still hard to measure and most go-to-market teams are mid-journey. Treat the framework as directional; ask for evidence before using it as a scorecard.
For brands planning a campaign
A B2B SaaS company can use this framework to diagnose where its sales, marketing, and customer-experience teams sit and identify needed executive education or content. Campaign content should meet buyers at their actual stage rather than assume enterprise-wide AI adoption.
Thomas convened the Content Marketing Group they lead at Forbes Communications Council and asked seven marketing leaders what buying-behavior shift would most influence their 2026 content strategy.
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The group agreed that the pre-GenAI content playbook does not fit the post-GenAI buyer journey and that no one has a fully proven new one. Answers favor shorter vertical video, community-led and practitioner-authored content, fewer but sharper assets, stage-specific nurture content, Generation Alpha plus TikTok as a discovery and conversion engine, and earlier credible proof through customer stories, AI-optimized owned content, and third-party validation.
One-question, multiple-expert panel format: Thomas asks a strategic question, collects named leaders' answers, summarizes the consensus, and links to the fuller Forbes article.
The post reports leaders' consensus and individual bets, not measured performance for each tactic. Ask for performance data before treating the recommendations as benchmarks.
For brands planning a campaign
For a SaaS content strategy, Thomas's approach supports positioning around experimentation and a test portfolio rather than one formula. Community-led content and practitioner voices can become campaign assets, especially when buyers distrust polished corporate messaging.
Thomas argues that third-party citations now matter more for generative engine optimization visibility than a brand's own content, giving PR teams a more strategic role.
Read more
In the old model, product marketing builds a launch narrative or thought-leadership piece and hands it to PR to pitch, often with disappointing media interest.
The newer model brings PR in early to identify trends and market buzz and co-craft stories at the intersection of industry interest and business relevance.
Thomas recommends social listening as a pattern-recognition tool, including AI tools that scan public posts across LinkedIn, Reddit, Facebook, Instagram, and X for rising negative signals.
An out-versus-in reframing of PR's role, followed by a quoted Forbes Communications Council take on using AI for cross-platform pattern detection.
The AI listening tools Thomas describes scan public pages only. Ask whether they can capture private conversations relevant to your campaign.
For brands planning a campaign
A campaign brief can pair PR and content earlier and use social listening to choose messages or spot issues before they escalate. The approach fits reputation and issue-response work as well as launch narratives, especially when third-party citations are a visibility goal.
AI search and LLM reference rate as the new visibility measure
Thomas presents data points on the changing search landscape: organic SEO traffic down about 2.5% year over year, AI Overviews triggered in roughly 30% of searches, organic click-through rate down about 35% when AI Overviews appear, and AI-referred visitors converting much higher than traditional organic visitors.
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They argue that a brand's LLM reference rate is becoming the new proxy for category mindshare and problem-solution fit, as well as a leading indicator of down-funnel demand. The recommended response is AEO work: clear, evidence-based, authoritative content and an integrated cross-functional strategy where PR, content marketing, product marketing, and demand generation reinforce the same narrative across channels.
Data-led argument drawing on cited third-party research and measurements, followed by a published recommendation from Thomas.
The post cites Graphite, Similarweb, and Ahrefs research but omits their methodology. Ask for the methodology before using the figures as benchmarks.
For brands planning a campaign
A B2B SaaS company can broaden success metrics beyond organic traffic to include citation and LLM visibility plus down-funnel conversion. Campaign roles can be organized across PR, content, product marketing, and demand generation around one narrative instead of siloed calendars.
Thomas has grown the Forbes Communications Council Content Marketing Group to more than 100 members and was selected as CMOs Group Leader.
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The group's stated mission is to let curious CMOs and senior marketing executives share and debate trends, strategies, and best practices in go-to-market, leadership, organizational design, cross-functional alignment, campaigns, metrics, and AI innovation. The group publishes Expert Panel articles and shares learnings from senior marketing leaders in the AI era.
Community leadership and editorial convening: member-led discussions distilled into posts, expert panels, and shared group resources.
The post describes the group's mission and Thomas's role, and notes that the Content Marketing Group has 100-plus members. Ask for individual campaign results when assessing its value.
For brands planning a campaign
For a SaaS brand, Thomas's approach suggests campaign formats built around executive roundtables, peer panels, and expert-contributed content. The value lies in access to a senior marketing audience and a discussion format rather than one-way promotion.
Thomas's posts document two organizational connections: they lead a group inside the Forbes Communications Council and take part in Neythri.org's GTM Roundtable.
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The posts also name research sources (Graphite, Ahrefs) and the employers of marketing leaders quoted in Forbes articles; these are citations and credits, not working relationships.
The posts state no sponsorship, affiliate link, investment, or paid client engagement, and do not identify Thomas's employer.
They describe connections at specific points in time, not whether they are ongoing; ask Thomas to confirm current roles, employment, and any commercial relationships.
Forbes Communications Council
Mention
Thomas says they started and grew the council's Content Marketing Group to more than 100 members and were selected as the Forbes Councils CMOs Group Leader.
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They describe the groups as forums where senior marketers share and debate go-to-market, content, and AI-era strategy.
Their posts assemble members' answers for Forbes articles and expert panels.
The posts establish a council role, not employment or a paid engagement.
Thomas took part in Neythri.org's GTM Roundtable, described in the post as a space where South Asian women go-to-market leaders exchange insights, and thanked the organizers for creating it.
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The post establishes participation in a professional community, not a title, employment, or paid role; ask for confirmation if any of those matter.
Rekha Thomas writes about how marketing and communications leaders should respond to AI-driven shifts in B2B buying.
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Start with the three-stage AI maturity model for go-to-market teams, then read the 2026 content strategy experiment roundup and the argument that LLM reference rate and third-party citations are replacing organic traffic as a visibility measure.
They also show how PR can work earlier with product marketing and how convening senior peers through Forbes Councils groups produces practical guidance.
For related reading, compare Courtney Damji on content team sourcing, Randy Likas on RevOps and AI transformation, and Sim Aulakh on PR-driven credibility.
Both write about B2B content marketing strategy and the value of learning from peers and practitioners; both treat content as a team effort that depends on cross-functional insight.
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Damji focuses on content team operations and curating industry voices to elevate others, while Thomas concentrates on AI-era go-to-market maturity, PR alignment, and measuring AI search visibility.
Both examine how AI adoption and transformation play out in revenue organizations, and both stress measuring impact beyond activity metrics.
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Likas writes from a RevOps and sales-meeting data perspective, analyzing pipeline efficiency and execution, while Thomas writes from a marketing and communications leadership perspective, focusing on content, PR, and executive convening.
Both argue that third-party validation and AI visibility are changing how B2B buyers assess vendors, and both give PR a more strategic role in that shift.
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Aulakh writes tactical PR placement case studies and offers agency services through EstablishCred, while Thomas writes as a CMO-level community leader and Forbes contributor, focusing on cross-functional strategy and executive peer learning.
Thomas’s five posts from January and February 2026 cover go-to-market leadership roundtables, Forbes Communications Council group work, AI-era content strategy, PR and social listening, and AI search visibility.
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They describe their leadership roles—they lead the Forbes Communications Council CMOs Group and previously built its Content Marketing Group—and quote them as a source in Forbes articles.
The posts don’t mention partnerships, sponsorships, or commercial integrations, or provide a branded-content format, sponsored-series placement, rate card, audience-deliverable specification, or official inquiry route.
Ask Thomas directly about partnership options and any named format before committing budget.
A B2B SaaS company seeking executive-level guidance on go-to-market and content strategy for the AI era is a strong fit.
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Rekha Thomas's posts offer what a campaign aimed at senior practitioners rather than prospects needs: a diagnostic, a measurement argument, and a working model for cross-functional alignment.
Their three-stage AI maturity ladder — individual experimentation, team-level workflows, cross-functional AI architecture — gives the campaign a spine buyers can use to place their own company, with real operational detail: prescriptive prompts with brand, messaging, and voice baked in to avoid generic output; company-sanctioned tooling; IP and data protection; human review before anything is published; data clean-up and consolidation before cross-functional work.
That specificity turns an AI-adoption message into something an executive can act on.
The AI search material adds a second, harder-edged reason to work with them: organic traffic as a proxy for category mindshare is weakening, and LLM reference rate — how often a brand is cited in topic-relevant AI answers — is presented as the replacement indicator of down-funnel demand.
The recommended response is one narrative reinforced across PR, content marketing, product marketing, and demand generation instead of siloed calendars.
The PR post adds the process change: bring PR in early to read trends and market buzz, then co-craft the story where industry interest meets business relevance, using social listening across public social surfaces as pattern recognition.
A third reason is the convening role.
Thomas built the Forbes Communications Council Content Marketing Group past 100 members, leads its CMOs Group, and runs roundtable formats where peer leaders compare positions.
For a SaaS brand whose buyers are senior marketers, that offers access to the conversation they are already in.
Ask for campaign performance results before committing if demonstrated conversion outcomes are important to the decision.
When to choose a specialist
A martech or consumer-facing vendor seeking a paid sponsored placement with a fixed deliverable, rate card, and audience-demographic guarantee is a poor fit based on the available posts.
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Rekha Thomas's posts describe no partnership, sponsorship, or commercial integration offer: no media kit, rate card, sponsored-series specification, or official inquiry route.
Ask directly whether they accept paid work and confirm the format and terms before committing budget.
The audience information is also directional.
Their profile shows 4,307 followers at the time of the profile snapshot, with no survey or analytics report of job titles, seniority, company size, or geography.
Their posts address and convene senior marketing, communications, and go-to-market practitioners, but that does not establish a measured audience breakdown or support a demographic guarantee; ask for audience data if that guarantee is required.
There is also a format mismatch.
Their work is written LinkedIn analysis, roundtable synthesis, and quoted Forbes contributions — long-form, argument-led, and built around other leaders' input.
A campaign needing fast short-video volume, direct-response creative, or a creator whose own account is the primary distribution engine would require capabilities the posts do not show.
This is a poor fit for a brief that depends on guaranteed reach or response, neither of which is shown in the posts.
A worked campaign example
For a strong fit: a B2B SaaS company that sells to marketing and revenue teams and wants to reposition around AI-era buying behavior.
A worked campaign angle is an executive series built on the three-stage AI maturity ladder and closed with a measurement shift.
Step one, the diagnostic.
Use the three stages as the campaign's organising idea and let the audience self-place: most teams are mid-journey, wins are still hard to measure, and measurement is moving from activity to impact.
This framing lets the brand meet buyers where they are instead of implying every prospect is ready for enterprise-wide AI architecture.
Content angles include prescriptive prompting with brand and voice context to avoid generic AI output; governance questions around sanctioned tools, IP and data protection, and human-in-the-loop review before anything is published; and the data consolidation needed before cross-functional AI programmes deliver anything.
Step two, the peer format.
Build a roundtable with GTM and technical leaders as the centrepiece asset, mirroring how Thomas generates material: one question, several named practitioners, and a synthesised takeaway rather than a single company line.
This suits a brand whose buyers are senior and sceptical of polished corporate messaging, and produces reusable excerpts rather than one campaign moment.
Step three, the measurement reframe.
Move the reporting argument from organic traffic to LLM reference rate and AI-referred conversion, and use it as the internal case for funding the work.
The campaign should advocate one narrative reinforced across PR, content marketing, product marketing, and demand generation, with PR brought in early to read market buzz and co-craft the launch story.
Step four, the deliverable and the handoff.
The output is an editorial brief the brand can execute: the maturity diagnostic as the spine, one roundtable episode per stage, a measurement one-pager for the executive sponsor, and a shortlist of which teams own which narrative in the integrated plan.
Before committing budget, ask Thomas directly for sponsorship or collaboration terms and audience composition data; neither appears in the posts, and follower count alone does not show who is on the other end.
Courtney Damji is the better choice when a B2B SaaS campaign prioritizes content operations, cross-functional sourcing, and community curation over AI-search measurement and executive AI-maturity frameworks.
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Rekha Thomas's posts show a practical method for finding resonant language: bring in sales and customer-success conversations, record customer calls, and use those notes to reshape copy.
One example describes a Hightouch ad-copy reset after listening to customer calls.
The posts also show a curator’s instinct for naming blogs, newsletters, and podcasts worth following—useful for a brand seeking a practitioner-led reading list, an editorial sourcing system, or a content team that can borrow credibility from an established network rather than build a new framework.
The tradeoff is coverage.
The reviewed Courtney Damji material focuses on content teams, customer-informed messaging, and industry curation—not AI maturity models, LLM reference-rate measurement, PR social-listening processes, or CMO peer-group platforms.
If a campaign needs an executive diagnostic for AI adoption or a measurement shift from organic traffic to AI citations, ask for that expertise.
The brand would be choosing a foundational content-strategy voice over a named convenor of senior marketing leaders.
Randy Likas is the better choice when a B2B SaaS campaign focuses less on content calendars and PR alignment and more on why AI pilots fail to change the operating model.
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The posts address how pilots can succeed under contained conditions with dedicated people and resources, then stall when leaders face disrupted workflows, role changes, incentives, and executive sponsorship tests.
They bring in named practitioner perspectives on product-centered design for RevOps, systems, and data engineering; an R&D-like operating model for AI transformation; and the need to understand how work gets done before deciding where AI belongs.
A second post adds a planning-season lens: budget pressure, questions about where team time goes, and the use of meeting-quality analysis across churned, renewed, and expanded accounts to redesign playbooks.
This suits a B2B SaaS company whose AI-era GTM problem is really an operating-model and RevOps problem.
The tradeoff is fit: Randy Likas's posts focus on RevOps and customer-engagement analytics, not content marketing strategy, AI search visibility, LLM reference rate, or PR storytelling.
For editorial direction, GEO/AEO content guidance, or a peer roundtable, ask how those elements would be covered.
The brand would need to translate the operating-model arguments into a content and GTM campaign rather than expect a ready-made content plan.
Sim Aulakh is the better choice when a B2B SaaS campaign prioritizes third-party validation, media placement, and authority-building to earn enterprise trust.
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The posts detail a signal-based PR method: track reporter coverage trends, funding, regulatory updates, and workforce or margin-pressure stories; spot topic velocity; reframe a product story around the buyer’s financial or operational tension; and pitch with a recent article reference, a specific stat, and timing.
The second post makes the underlying argument directly: buyers and AI systems ask whether anyone has heard of the company, whether it has credible features, and what industry experts say; paid ads, outbound, and events do not create that trust.
For a B2B SaaS company selling into risk-averse enterprise procurement, especially in healthtech or another vertical where trade publications matter, this is a more specific match than a general content-strategy voice.
The tradeoff is scope and framing.
Sim Aulakh's PR- and authority-focused posts include a healthtech placement example and a pitch for a named credibility service, but not an AI-maturity diagnostic, a cross-functional content operating model, or guidance on LLM reference rate as a measurement shift.
If the campaign needs the brand’s own content engine, executive education, or a peer CMO roundtable, ask how those needs would be covered.
The voice is also more promotional and agency-led than Rekha Thomas's material, making it less neutral and more vendor-shaped.
This profile covers five complete LinkedIn posts written by Rekha Thomas: a roundtable on AI maturity across go-to-market teams, a panel of seven marketing leaders on 2026 content strategy, an argument that PR should help shape stories earlier as AI search rewards third-party citations, a post on AI search metrics and LLM reference rate, and the announcement that Thomas leads the Forbes Councils CMOs Group.
A LinkedIn profile snapshot from October 2026 recorded 4,307 followers.
The posts state no sponsorship, rate card, or partnership terms, so none are described; this is a limit of what the posts say, not a claim about what Thomas does elsewhere.
Also not covered here: the full text of the Forbes articles referenced in the posts, audience demographic or engagement data, and any campaign performance results.
