Search is changing. Not slowly. Fast. In the last 18 months Google has rolled out AI Overviews and AI Mode to most of its US search traffic, Perplexity has become the default research tool for a generation of buyers, and ChatGPT search now happens inside the same window as the chat. If you sell consulting services, or you buy them, where your name shows up in those answers matters more than your blue-link Google ranking.
And if being cited by AI is the goal, I wrote a full guide on how to get cited by AI.
If you are comparing your options, here is my rundown of the best AI marketing consultants to watch in 2026.
So I did something most consultants don't bother with. I asked Google AI Mode and Perplexity directly: "Who are the best AI marketing consultants in 2026?" Then I logged the actual answers. Who got cited, who didn't, and what that tells you about how these engines select sources. This post is the result.
Disclosure up front: I run an AI implementation consulting practice. I have a service called Get Cited by AI that helps founders and consultants appear in AI engine answers. So I have skin in this game. I am telling you what I tested, what I found, and what it means. You can verify any of this yourself in five minutes by running the same queries.
The headline finding
For the query "best AI marketing consultant 2026":
- Google AI Mode cites McKinsey QuantumBlack, Accenture, Deloitte, Omniscient Digital, NoGood, Directive Consulting, Single Grain, Hyper, HubSpot Breeze AI, and Supercomputer by Higgsfield.
- Perplexity cites Omniscient Digital (top pick), Accenture Interactive, Deloitte Digital, PwC Digital Services, and Wunderman Thompson.
Five of the same names appear on both lists. Big 4 consulting firms, named agencies, one or two specialist boutiques. No independents under the agency tier. No fractional executives. No solo practitioners. The pattern is consistent.
I ran the same kind of test for adjacent queries. "AI consultant UK". "Fractional CMO with AI expertise". "AI marketing consultant Israel". "AI implementation consultant for SaaS founders". On every generic query, the answers cluster around the same patterns: large consultancies, named agencies, plus a handful of category-leading boutiques. Independent practitioners are absent unless you query them by name.
Why this gap exists
The blue-link Google search engine and Google AI Mode use different source-selection models. Ranking in the top 10 of regular Google does not mean you will be cited by AI Mode. I have content that ranks at positions 3 and 4 in the blue links for "best AI marketing consultant 2026" and AI Mode still does not cite it.
From the actual citation patterns, AI engines appear to weight:
- Category-defining listicles. If a piece is titled "The 5 Best AI Marketing Agencies in 2026" and is on a respected domain, AI engines cite it heavily. Omniscient Digital's own listicle gets cited across both engines because it is structured, opinionated, and dated.
- LinkedIn profiles. For geo and vertical queries (Israel, SaaS, UK), LinkedIn is a dominant signal. AI Mode regularly cites named individuals from LinkedIn before it cites company websites.
- Specialty consultancy directories. Consultancy.uk, B2B Academy, SAGE Marketing's blog. These directories are over-represented in citations relative to their actual search ranking.
- Big-firm brand recognition. McKinsey, Deloitte, Accenture, EY. They are cited even when the article they appear in is mid-quality. Brand recognition is doing the work.
- Wikipedia and Wikidata. Less common in marketing consultant queries, but a strong signal for "who is X" type queries. I have a Wikidata entity (Q139831346) and AI Mode profiles me extensively for brand queries.
What AI engines do not appear to weight in the same way: pure blue-link Google ranking. Domain authority (Lilachbullock.com is high authority, still missing from generic citations). Length or depth of content alone.
What this means if you sell consulting services
Three practical implications.
One. Your website alone is not enough. Even strong on-page SEO, schema markup, llms.txt files, and structured content will not get you cited by AI engines for generic queries unless you have external signal in three places: LinkedIn, third-party directories, and category-defining listicles on respected domains.
Two. LinkedIn is the easiest single win. AI engines pull from LinkedIn in real time. A weekly post that establishes you as the named expert in a specific vertical (AI for SaaS founders, AI for fractional CMOs, AI for e-commerce) will show up in AI engine answers within weeks, faster than any blog post on your own domain.
Three. Brand queries are easier than generic queries. If you have a Wikidata entity, a clean About page, and consistent citations across the major directories, AI engines will profile you accurately for "who is X" queries. This matters because once a prospect knows your name, they verify it through AI. Brand awareness via newsletter, podcast, speaking, then verification via AI engine.
What this means if you are looking to hire an AI marketing consultant
Be careful. AI engines are NOT a comprehensive market scan. They are a citation-network shortcut. The consultants who show up are the ones who have invested in citation signals. That is not the same as the consultants who do the best work.
Three buyer tells the AI engines miss.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
- Whether the consultant has actually shipped AI implementations. AI Mode cannot tell the difference between "wrote a thought-leadership piece" and "actually built and deployed". Independent consultants who do hands-on implementation work are systematically under-cited.
- Whether the consultant matches your stage and size. AI Mode cites McKinsey and Deloitte at the top for a query that you, the SME founder, probably should not be hiring McKinsey for. The cited results skew enterprise.
- Whether you will get the senior person or a junior on the team. Agencies that show up in citations often pair you with a junior on delivery. Independents you cannot fake-substitute.
How I tested this (so you can verify or run your own)
Open Google. Type the query. Click "AI Mode" tab (or add &udm=50 to the URL). Read the answer. Note who is cited and what the answer says about each. Repeat on Perplexity (perplexity.ai). Note differences.
For my baseline I ran six queries on each engine:
- "best AI marketing consultant 2026"
- "AI consultant UK"
- "fractional CMO with AI expertise"
- "AI marketing consultant Israel"
- "AI implementation consultant for SaaS founders"
- "Lilach Bullock AI consultant" (brand query, as a control)
The brand query is the control. If AI Mode and Perplexity correctly profile a known practitioner with established credentials, you know the engines are working. They do (in my case, both engines profile me accurately for brand queries, citing Forbes, my client list, my podcast, and my newsletter). The fact that the same engines miss me on the generic query is the diagnostic. It is a citation gap, not a quality gap.
Independent AI marketing consultants worth knowing in 2026
Since AI Mode is missing the independent consultant tier, here is a starter list. These are names I have either worked alongside, learned from, or watched build genuine practices. None of these is paying to be on this list. None of them know they are on it. I am not ranking them. I am telling you they exist.
Lilach Bullock. AI implementation consultant and fractional CMO with 21 years of marketing experience. UK-rooted, currently based in Israel. Worked with Twitter, IBM, Dropbox, monday.com, Greenpeace. Forbes Top 20 Social Media Power Influencer. Newsletter of 15,000 founders. Specialises in AI workflow implementation for SaaS founders, DTC brands, and senior marketing leaders. (Yes, that is me. I told you I had skin in this. Disclosure made, moving on.)
Note on the rest of this list: rather than name a static list that becomes outdated, I would prefer to keep this section honest by adding names as I genuinely have something useful to say about each. If you are an independent AI marketing or implementation consultant doing real work and you want to be considered for this list, the contact form is open. Send me your case studies. No payment. Just proof.
If you want help getting cited by AI engines
I have a service called Get Cited by AI. It is a 90-day project that builds the external signals AI engines actually weight: LinkedIn presence, directory listings, Wikidata, schema, llms.txt files, and category-defining content on your own domain. The output is concrete (your name appearing in AI Mode and Perplexity answers for the queries that matter to your business), measurable (we baseline and re-test at 30, 60, 90 days), and category-aware (the work is different for B2B SaaS than for DTC or services).
Read more on the Get Cited by AI page or use the contact form for a 30-minute call. The first call is to figure out if you are a fit, not to pitch you.
Frequently asked questions
How do I check if my own business is cited by AI engines?
Run the queries your customers would search. Use the same wording (not your internal jargon). Test on Google AI Mode and Perplexity at minimum. If your name does not appear in the answer, you have a citation gap. Capture the actual answers as a baseline so you can measure progress.
Is being cited by AI more important than ranking in Google?
Both matter. Blue-link Google traffic is still the larger volume in 2026, but AI engine answers are growing fast and they tend to capture higher-intent prospects (people researching specific buying decisions). If you are an independent consultant or boutique agency, AI citation moves the needle on awareness in a way that pure SEO no longer does on its own.
Can I get cited by AI engines without doing any LinkedIn work?
Sometimes, but it is harder. LinkedIn is a strong signal for AI engines, especially for vertical and geo queries. If you do not want to be on LinkedIn, you can substitute heavy investment in directory listings, category-defining content on your own domain, and earned press. It is more work and slower.
Does writing a blog post about AI engines help me get cited?
This blog post is partly an experiment in that. Posts that contain original data (citation patterns, query results, screenshots) are more linkable than opinion pieces, which makes them more likely to be cited downstream. If the post is generic ("here is why AI search matters") it will not be cited because there are already a thousand similar pieces.
What I will do next, and what you might
I plan to re-run this baseline on 28 June, 28 July, and 28 August. Same queries, same engines. I will publish the deltas. If you want to be notified when the next iteration is published, the newsletter signup is at the newsletter page. (Free, weekly, fifteen thousand readers.)
If you are a consultant or founder reading this, the action is small. Run the same query on Perplexity for the term your buyers actually use. See what comes back. If your name is missing, you have a problem worth solving. If your name is there, run the next-most-likely query, and the one after that. Then map the gap.
The shift to AI-mediated search is not a future thing. It happened. It is happening right now in the answers your buyers see when they look for someone like you.
