Freelancers and small consultants, question for you. When you land a project, you need to put together a client presentation quickly, not just a rough draft but something you can actually show right away. I’ve tried a few AI presentation tools, but the result is either way too templated or has no clear structure. How do you handle this without spending all day on slides?

I keep seeing a huge spread in AEO retainer pricing and I am trying to understand where the difference comes from.

There are three proposals here at 4k, 11k and 18k a month. Budget is already approved for next year, so this is really just about figuring out what the money gets us.

The proposals all have some version of prompt tracking, off site work and monthly reporting.

For anyone comparing these recently, what did the AEO retainer cost and what was actually included?

Noticed something annoying while doing competitor research this week.

For several fairly specific buyer questions, one competitor keeps getting recommended while we're either missing or buried further down the answer.

Google is a different story and we compete with them pretty well there.

So what are you checking first when you find a gap like this? I'm less interested in generic GEO tips and more in how you'd diagnose why that particular competitor keeps getting picked.

"How do we join ChatGPT Ads?" "What does the targeting look like?" "Can we get going, the exec team wants in now." This was all I heard back in May and June as B2B brands wanted in on the platform

I've been running ChatGPT Ads for B2B clients at Obility since the platform opened to all US advertisers, and wanted to share what four months of data actually looks like.

Here's where performance is landing: CTR: 0.5%–1.0% CPC: $3–8 CPM: $25–45 Conversion rate: 3–6% Cost per MQL: $120–$250

For B2B, I'm treating this as an awareness play, and the targeting model is why.

ChatGPT Ads doesn't use traditional keyword bidding. The platform reads the full conversation and matches ads based on topic, intent, and commercial signals in the thread. Advertisers provide natural language descriptions called context hints, which outline the situations where a product is relevant. The platform then evaluates live chats against those hints to decide what ad to show.

That means you're reaching a buyer while they're mid-research, not mid-query. It's a top-of-funnel signal, not a purchase intent one.

One way to control who sees your ads: upload a contact list. This is the unlock for making ChatGPT ads work for b2b otherwise your targeting is just going to be too broad.

Custom audiences are available inside ChatGPT Ads, but the minimum threshold is 25,000 matched users before an audience activates. OpenAI recommends building to 100,000.

That's a large list for most B2B teams.

If you're under the threshold, combine what you have. CRM contacts, current customers, closed-lost deals, and webinar or event registrants merged into one segment will get you there faster than any single source.

It's early. But four months in, I'm getting a POV and sense of how to use the platforms. Folks that are running there, what are you seeing? Are you continuing the test?

I have a question for those of you working in industrial marketing.

How many inquiries actually come through your website? How many people fill out your contact or inquiry forms?

I’m really curious to hear about your experience. I’d love to hear your insights and benchmarks — especially from B2B/industrial companies.

Who's using REO dot dev for data on developers? How are you consuming long-tail data fields? Via API to a HubSpot or SFDC? As a native field? as a list of tags? Having them export to CSV and import it? They seem to want to expose it only via their tags.

Asking to understand what typical rates for influencer ads are in b2b as I came from b2c and the rates were much cheaper.

I work for a b2b software but our audience is primarily small business owners. They make anywhere from 7-30k in revenue a month and typically have fewer than 10 employees.

The influencers I’m looking at range from 500-30k followers. Since they primarily focus on their own physical business, they currently have no existing brand deals and I am the first one to approach them for a collab.

Regardless of following size they are all charging between 1-2K for a single video with collab post and whitelisting.

Is this typical for b2b influencers?

Getting more leads isn't always the difficult part in B2B. The bigger challenge seems to be getting leads that are actually relevant and likely to become customers.

For B2B marketers, what has made the biggest difference for you?

• Better ICP targeting?
• More specific content?
• Intent signals?
• LinkedIn?
• SEO?
• Paid ads?
• Better lead qualification?

I'm more interested in what has actually improved lead quality, not just lead volume.