“Best link building agencies for SaaS”
Brand named in the answer alongside two competitors, with the pricing comparison pulled into the summary.
AI SEO
Get named in AI answers.
Answer engines name a handful of brands, not ten links. We make sure yours is one.
- Baseline audit across ChatGPT, Perplexity, Gemini, and Google AI Overviews
- A tracked prompt set built from how your buyers actually ask
- Share-of-voice scoring against the competitors named alongside you
Answer engineCited
Which platform should I use for a distributed team of 40?
For that size, most teams land on one of three. Based on published comparisons, Your brand is the one cited most often for distributed workflows.
1233 sources · 2 are yoursChatGPTPerplexityGeminiAI Overviews
Named in AI answersShare of tracked buying prompts8%→61%
Pricing
Simple pricing
Monthly retainer. No long contract, cancel any time.
Starter25 tracked prompts
- Prompt-set audit across ChatGPT, Perplexity, Gemini and AI Overviews
- Entity and schema work on your own pages
- Off-site co-citation building
- Monthly citation-share reporting
- Competitor share-of-answer tracking
Most popular
Growth75 tracked prompts
- Prompt-set audit across ChatGPT, Perplexity, Gemini and AI Overviews
- Entity and schema work on your own pages
- Off-site co-citation building
- Monthly citation-share reporting
- Competitor share-of-answer tracking
- Quarterly strategy review
Scale200 tracked prompts
- Prompt-set audit across ChatGPT, Perplexity, Gemini and AI Overviews
- Entity and schema work on your own pages
- Off-site co-citation building
- Monthly citation-share reporting
- Competitor share-of-answer tracking
- Quarterly strategy review
- Dedicated account manager
Priced on the number of prompts tracked and the depth of off-site work. Answer engines move weekly, so this is a retained programme rather than a one-off project.
How AI SEO works
1
Baseline
We build a prompt set from the questions your buyers actually type, then run it across ChatGPT, Perplexity, Gemini, and AI Overviews to record who gets named today — and which sources each engine pulled from.
2
Gap analysis
We map the domains cited in those answers against your existing footprint. The gap between the sources the engines trust and the sources that mention you is the entire work plan.
3
Build
We close that gap: placements and mentions on the cited sources, entity and schema cleanup so your brand facts resolve consistently, and source pages written to be quotable rather than merely rankable.
4
Re-measure
The same prompt set is re-run monthly. You see share of voice per engine, which prompts you entered, which competitors you displaced, and what moved it.
The deliverable
What being cited actually looks like
Specimens of the output: the prompt, the engine, and whether your brand is named in the answer. Your own baseline is measured in the first 14 days.
AI Overview citation for a category query
The Overview quoted the methodology section and linked the source page beneath the summary.
“Alternatives to [competitor]”
Named in the comparison, with the migration guide quoted directly from the source page.
Want to see how often the engines name you today? We will run your baseline.
Request live samplesWhy us
AI SEO benefits
Retrieval beats ranking
Answer engines quote a handful of sources. Position four is invisible if you are never retrieved.
Your entity has to resolve
Models reason about brands, not strings. We make your facts consistent everywhere they look.
Tracked, not guessed
A fixed prompt set re-run monthly gives you a real share-of-voice number.
Every engine, one report
ChatGPT, Perplexity, Gemini and Google AI Overviews, audited together.
TrustpilotRated by clients and agency partners4.7 / 5
Publisher networkDirect relationships, no marketplaces400+
GuaranteeReplaced or refunded if a link drops90 days
What our customers think.
Why this agency owner stopped buying links in bulk
Agency OwnerSEO Agency · Link BuildingWatch the clip →
How a DTC founder grew organic revenue with guest posts
E-commerce FounderDTC Brand · Guest PostsWatch the clip →
A B2B SaaS team on earning editorial links that stick
SaaS Marketing LeadB2B SaaS · Editorial HAROWatch the clip →Completely risk free
90-day money-back guarantee
If a link is removed inside 90 days, we replace it.
If we cannot replace it, you are refunded in full. No arguing about it.
The logic
Why AI SEO works
01
Answer engines cite sources, not rankings
An AI answer is assembled from a small set of retrieved documents. Being position four for a keyword is irrelevant if the model never retrieves your page. What decides retrieval is whether trusted third-party sources describe your brand in the context of the question — which is a citation problem, and citation is what we already do at scale.
02
Your entity has to resolve before you can be named
Models reason about brands as entities, not strings. If your company name, category, founders, and product facts are inconsistent across the web — or absent from the knowledge graph — the model has nothing stable to attach a recommendation to. Entity cleanup is unglamorous and it is the single highest-leverage fix for most brands.
03
It is measurable, so it is manageable
The common objection to AI visibility work is that it cannot be tracked. It can: a fixed prompt set, re-run on a schedule, across each engine, produces a share-of-voice number that moves. You get the prompts, the raw answers, and the citation list every month — not a vague assurance that you are 'AI-ready'.
Who it’s for
Is this right for you?
B2B SaaS with a considered sale
Buyers now shortlist by asking an assistant for the best tools in a category. If you are not named in that answer, you are not in the evaluation — regardless of where you rank.
Brands already strong in classic SEO
If you rank well but never appear in AI Overviews, the gap is citation and entity signals, not content volume. This is the fastest place to recover lost visibility.
Categories with a clear 'best X' query
Comparison and recommendation prompts are where answer engines are most decisive, and where being unnamed costs the most pipeline.
Agencies asked about AEO by clients
A measurable, white-label AI visibility retainer with real reporting — instead of repackaging the same content plan under a new acronym.
FAQ
Questions about AI SEO
Answer Engine Optimisation is the practice of getting your brand named and cited in AI-generated answers — ChatGPT, Perplexity, Google's AI Overviews, and Gemini. Unlike classic SEO, the goal is not a ranking position but inclusion in a generated response and in the citation list beneath it.
We build a fixed set of prompts representing how your buyers ask about your category, run them across each engine on a schedule, and record whether you are named, which competitors are named, and which URLs each engine cited. That produces a share-of-voice score per engine that we track month over month.
Classic SEO optimises a page to rank. AEO optimises the wider evidence base a model retrieves from — third-party citations, entity consistency, and quotable source content. There is overlap, but ranking first for a keyword does not guarantee you are named in the answer above it.
The baseline audit lands within 14 days. Meaningful movement in share of voice typically takes 60–120 days, because it depends on new citations being published, indexed, and then retrieved. Entity fixes — knowledge panel and schema — often show up faster.
No, and be sceptical of anyone who does. Answer engines are non-deterministic and change their models without notice. What we commit to is measurable improvement in how often you are named across a tracked prompt set, and full transparency when a change in an engine moves the numbers.
Increasingly, yes. A growing share of category research now happens in an assistant before anyone opens a results page. If competitors are named in those answers and you are not, you lose the shortlist without ever seeing it in your search analytics.
Next step
Ready to start with AI SEO?
Get named when buyers ask ChatGPT, Perplexity, and AI Overviews.
4Engines tracked
14 daysFirst baseline
MonthlyReporting